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Genetic Algorithm in Flexible
Manufacturing System
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Excerpts from journals taken from 2017 to 2018
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8/23/2018
Maizi

Methods
...


Multi-Objective Optimization (SimMOpt)
...


group theory-based optimization algorithm (GTOA)
...


Genetic-Bees Algorithm
...


Machine learning (ML)
...


optimizing the workstation layout
...


particle swarm optimization (PSO)
...


biogeography-based optimization (NSBBO)
...


Biologicalisation in Manufacturing
...


Automated Guided Vehicle in Flexible Manufacturing system
...


mixed integer nonlinear programming model (MINLP)
...


Simulated Annealing (SA) algorithm
...


End-of-Life (EOL) and End-of-Use (EOU)
...


two-stage stochastic bi-objective mixed integer programming model
...


Petri Nets based Generic Genetic Algorithm (GGA)
...


Material flow optimisation
...


operation management
...


Digitising
...


lot-splitting (i
...
job-splitting)
...


connected autonomous reconfigurable manufacturing system
...


Job-Shop scheduling Problem with Transport (JSPT)
...


controlling temporarily paced sections in highly flexible systems
...


Systems Integration of Manufacturing Applications (SIMA)
...


co-platforming strategy
...


Parallel-machine rescheduling
...

nets

distribution algorithm for scheduling problem of flexible manufacturing systems using Petri
11

27
...
11

29
...
12

30
...
12

31
...
12

32
...
13

33
...
13

34
...
13

1
...
14

2

1
...
14
2
...
14

3
...
16
4
...


Process-independent workstation layout for lean automation,
...
A novel optimal replication allocation strategy for particle swarm optimization algorithms
applied to simulation optimization problem,
...
A hybrid method of 2-TSP and novel learning-based GA for job sequencing and tool switching
problem,
...
Non-dominated sorting biogeography-based optimization for bi-objective reentrant flexible
manufacturing system scheduling,
...


Biologicalisation: Biological transformation in manufacturing,
...

A Review On Facility Layout Design Of An Automated Guided Vehicle In Flexible
Manufacturing System,
...


Forty years of Computers & Industrial Engineering: A bibliometric analysis,
...

Mathematical modeling and multi-start search simulated annealing for unequal-area
facility layout problem,
...

Incorporating flexible capacity in the planning of a multi-product multi-echelon sustainable
reverse logistics network under uncertainty,
...

A Petri Nets based Generic Genetic Algorithm framework for resource optimization in
business processes,
...

Material Flow Optimisation of Flexible Manufacturing System using Real Coded Genetic
Algorithm (RCGA),
...


A green scheduling algorithm for flexible job shop with energy-saving measures,
...


Digitising the European industry - holonic systems approach,
...

An improved migrating birds optimization for an integrated lot-streaming flow shop
scheduling problem,
...


Real-time teaming of multiple reconfigurable manufacturing systems,
...


A Dial-a-Ride evaluation for solving the job-shop with routing considerations,
...


The Random Neural Network in a neurocomputing application for Web search,
...


Order Release for Temporary Paced Sequences in Flexible High Throughput Systems,
...


Analyzing environmental sustainability methods for use earlier in the product lifecycle,
...


Synthesis and optimization of manufacturing systems configuration using co-platforming,31

24
...
31

25
...
32
3

26
...

A two-stage optimization method for energy-saving flexible job-shop scheduling based on
energy dynamic characterization,
...


The multi-pickup and delivery problem with time windows,
...

Framework for modeling operational uncertainty to optimize offsite production scheduling
of precast components,
...


Task allocation in manufacturing: A review,
...


Petri nets and Automatic Control: A historical perspective,
...

Energy gap method (EGM) to increase energy efficiency in industrial processes: Successful
cases in polymer processing,
...

On the performance of the hybridisation between migrating birds optimisation variants and
differential evolution for large scale continuous problems,
...

Joint decisions of machining process parameters setting and lot-size determination with
environmental and quality cost consideration,
...

The extension and exploitation of the inventory and order based production control system
archetype from 1982 to 2015,
...


A minimax linear programming model for dispatching rule selection,
...


Simulation-based Optimization for Facility Layout Design in Conditions of High Uncertainty,
40

38
...
40
39
...
41

40
...
42
41
...
42
42
...
43
43
...
44

44
...
44

45
...
45
46,
Game theory based real-time multi-objective flexible job shop scheduling considering
environmental impact,
...
46

48
...
47
49
...
48
4

Methods
1
...
In the first phase, nonlinear goal programming is used for finding high quality initial solutions
...
group theory-based optimization algorithm (GTOA)
key parts of GTOA are that the feasible solution of the knapsack problem is considered as an
element of the direct product of groups and that the evolution process is implemented by
multiplication and inverse operations of the direct product of groups
...
GTOA is validated to be an efficient algorithm for solving knapsack
problems
...
In addition, GTOA is not only an efficient algorithm for
solving knapsack problems but is also the first paradigm that applies group theory to directly
design an evolutionary algorithm
...
Genetic-Bees Algorithm
The enhancement of the Bees Algorithm (BA) is conducted using the Genetic Algorithm’s
(GA’s) operators during the global search stage
...
Although the BA has very
successful implementations on various type of optimisation problems, it has found that the
algorithm suffers from weak global search ability which increases the computational
complexities on NP-hard type optimisation problems e
...
combinatorial/permutational type
optimisation problems
...
To reinforce the global search process in the BA, the
proposed enhancement is utilised to increase exploration capability by expanding the
number of fittest solutions through the genetical variations of promising solutions
...
The reinforced global search
strategy is the first stage of the hybridisation process and contains the mutation operator of
the GA
...
To demonstrate
the strength of the proposed solution, several experiments were carried out on 280 wellknown single machine benchmark instances, and the results are presented by comparing to
5

other well-known heuristic algorithms
...
The
convergence time reduced about 60% with about 30% better results for highly constrained
jobs
...
Machine learning (ML)
subset of artificial intelligence that focuses on autonomous computer knowledge gain) is
actively being used across many domains, such as entertainment, commerce, and
increasingly in industrial settings
...
As these innovations continue across industries, the manufacturing
industry has also begun to gain benefits
...
0, ML for manufacturing is experiencing unprecedented levels of interest;
5
...
lean
automation system, wherein the waiting time of the material handling equipment is reduced
...
With this design method, the workstations are not necessarily arranged in the order
of the process sequence
6
...

algorithms in simulation models with high computing cost in large design spaces
...
Given the uncertainties in real-word applications, a simulation model is
constructed to evaluate the performance of each design alternative
...
biogeography-based optimization (NSBBO)
scheduling problem of FMS having multi loading-unloading and shortcuts infused in the
reentrant characteristics
...
The goal is to simultaneously determine the best machine assignment and job
sequencing to satisfy both objectives
...

8
...
Seven recommendations are delivered
aimed at policy makers, at funding agencies, at the manufacturing research community and
at those industries involved in the development of next generation manufacturing
technology and systems
...
0
and that the market potential is very strong
9
...

issues related to layout design, location of pickup and delivery points and flow path design
...
mixed integer nonlinear programming model (MINLP)
allocate the position of a number of unequal-area rectangular facilities within the continuum
of a planar plant site with a predetermined fixed area
...
A continuous approach to the problem is taken
...

The model accommodates for aisles, whether vertical or horizontal, as well as blocks and
preference locations, where no facilities are allowed to be placed
...
Simulated Annealing (SA) algorithm
solve large instances of the problem
...
A
multi-start search mechanism is implemented to increase the diversity and mitigate the
chances of getting entrapped in local optima
...
End-of-Life (EOL) and End-of-Use (EOU)
Reverse logistics is the process for value recovery and re-creation through a series of
activities, i
...
, repair, remanufacturing, recycling and energy recovery
...
two-stage stochastic bi-objective mixed integer programming model
network design problem of a multi-product multi-echelon sustainable reverse logistics
system under uncertainty, which aims at providing a set of Pareto solutions between
profitability and environmental performance
...
Different from the previous modelling efforts
derived from a genetic
...
Thus, the model is formulated in two parallel ways with
either efficiency-focused non-flexible capacity or effectiveness-focused flexible capacity
...

14
...

Specifically, the proposed GGA framework is capable of producing an optimized resource
allocation scheme for any CPN process model, its task execution times, and the constraints
on available resources
...
Material flow optimisation
a crucial part in the flexible manufacturing system of decision making to optimise a material
flow in the system
...
Waiting time due to unavailability of machines is
considered for the modification of this mathematical model
...
The results shows that RCGA can be applied to solve problems of
flexible jobshop manufacturing system and better as compared to Genetic Algorithm (GA)
...
operation management
a model is formulated for the flexible job shop scheduling problem when the two energysaving measures are under consideration
...
Then, a non-dominated
sorted genetic algorithm is developed to solve the problem
...
Finally,
the comprehensive experiment results prove that the proposed model and the algorithm can
solve the problem effectively and efficiently
...
Digitising
Through the use of digital technologies, investments and innovations take place in the fields
of smart grids, self-driving vehicles, e-government, advanced manufacturing, etc
...
As it has
been noted by industrial players, the fourth industrial revolution is happening now
...

With elaborated technological recommendations, digitalisation could be realised in an
efficient way
...
Smart cyber-physical systems can
help to make human life better and more convenient by having features which cannot be
found in traditional systems
...

18
...
e
...
It is commonly assumed that lot-splitting (i
...
job-splitting) is
specified in advance and fixed during the optimization procedure in recent studies on lotstreaming flow shop scheduling problems
...
an integrated lotstreaming flow shop scheduling problem in which lot-splitting and job scheduling are needed
to be optimized simultaneously
...
In the IMMBO algorithm, a harmony search based scheme is designed to
construct neighborhood of solutions, which makes good use of optimization information
from the population and can tune the search scope adaptively
...
Extensive numerical
simulations are conducted and comparisons with other state-of-the-art algorithms verify the
effectiveness of the proposed IMMBO algorithm
19
...
a mathematical approach for
distributing the stochastic demands and exchanging machines or modules among lines
(which are groups of machines) as a bidding process, and for adaptively configuring these
lines and machines for the resulting shared demand under a limited inventory of configurable
components
...
Job-Shop scheduling Problem with Transport (JSPT)
a combinatorial optimization problem that combines both scheduling and routing problems
...
The JSPT is commonly modeled by a disjunctive graph that
encompasses both machine-operations and transport-operations
...
The vast majority of the evaluation functions used into disjunctive graphs of
JSPT, minimizes the makespan and there is no routing criteria in the objective function
...
controlling temporarily paced sections in highly flexible systems
Material testing in high-throughput systems facilitates a fast, precise and innovative method
for the identification of metals with required characteristics
...
Various
requirement specific test plans and the occurrence of temporarily paced sequences between
subsequent processes amplify the necessity of controlling the material flow to reduce idle
times and increase utilization
...
Systems Integration of Manufacturing Applications (SIMA)
Environmental sustainability information in the manufacturing industry is not easily shared
between stages in the product lifecycle
...
Instead, designers rely on aggregated, often outdated information or make decisions
by analogy (e
...
, a similar manufacturing process for a similar product yielded X and Y
results)
...
The
techniques and methods are categorized based on the stage they apply to in the product
lifecycle, as described by the Systems Integration of Manufacturing Applications (SIMA)
reference architecture
...

23
...
The mathematical model is verified through
mathematical example and implemented in case study from automotive cylinder block
manufacturer
...
The synthesized
manufacturing system platform does not change with the introduction of new product
variants with new features belonging to the same product family which supports economic
sustainability of manufacturing systems
...
Parallel-machine rescheduling
scheduling problem where a set of jobs has already been scheduled for processing on
identical parallel machines to minimize the total completion time under the assumption that
all the jobs are available at time zero
...
To
reduce the negative impact of job unavailability and achieve an acceptable service level, one
option in rescheduling the jobs is to reject a subset of the jobs at a cost (the rejection cost)
...

The overall objective is to minimize the former criterion, while keeping the objective values
of the latter two criteria to no greater than the given limits
...
(ii) An
enhanced branch-and-price method that includes several features such as execution of the
differential evolution algorithm for finding good initial feasible solutions and solving the
pricing sub-problem, inclusion of reduced cost fixing during the inner iterations of the
algorithm, and use of a heuristic procedure for constructing a good integer feasible solution
...
distribution algorithm for scheduling problem of flexible manufacturing systems using Petri
nets
novel effective estimation of distribution algorithm (EDA) for solving the scheduling problem
of FMSs
...

The feasibility of individuals is checked and guaranteed by a highly permissiveness deadlock
controller
...
The probabilistic model in EDA is constructed via a voting
procedure
...
The longest common subsequence is also embedded into the probabilistic model
for mining good genes
...
Computational results show that our proposed algorithm outperforms all the
existing ones on benchmark examples for the studied problem
...

26
...
a mathematical model which can solve small
instances to optimality, and also serves as a problem representation
...
develop a tabu search
algorithm with specific neighborhood functions and a diversification structure
...
Test results algorithm outperforms
most existing approaches for the classical flexible job shop scheduling problem
...
two-stage optimization method
Scheduling can have significant impacts on energy saving in manufacturing systems
...
a two-stage
energy-saving optimization method for Flexible Job-Shop Scheduling Problems (FJSP)
...
Then
the optimization is conducted at two stages: the machine tool stage and the operation
sequence stage
...
Finally, a case study is employed to illustrate the
applicability and validity of the proposed method
...
This may provide a basis for decision makers to utilize
a manufacturing scheduling that is optimized regarding its energy saving
...
multi-pickup and delivery problem with time windows
solve the problem exactly via branch-and-bound and heuristically developing a hybrid
adaptive large neighborhood search with improvement operations
...
Computational results are reported on different
types of instances to study the performance of the developed algorithms, highlighting the
performance of our heuristic compared to the exact method, and assessing its sensibility to
different parameter settings
...
Task allocation (TA)
Task allocation (TA) problem is of critical importance in manufacturing industry, and
determines the effectiveness and efficiency of advanced manufacturing systems
...
However,
there is still no uniform analysis on TA to date, while it has been paid more attention from
the view of manufacturing resource allocation
...
In this paper, TA and its intelligent improvements are picked and
investigated
...
Each stage is separately analyzed at
first
...

Researches show that the latter one can better suit current systems and their manufacturing
environment
...

30
...
six different specific energy consumption levels
are proposed; four of them are based on historical plant data and measurements in
production processes, and the other two levels are based on benchmark references and
thermodynamic minimum estimations
...

Actions aiming at the reduction of the largest gaps are prioritized, taking into account the
required resources and payback analyses
...
In the first study, a blow molding process was
diagnosed and the interventions obtained a specific energy consumption (SEC) reduction of
14%
...
For the third and fourth
studies, an automotive part injection molding process was diagnosed and improved,
obtaining SEC savings of 16% for the part production and around 7% for the whole
production plant
...

31
...
The multi-criteria dispatching rule selection problem is first converted into a
preference voting system, and a minimax LP model is then introduced for solving the
corresponding problem
...
An experimental study considering two
different production priority settings is used to show the applicability of the proposed
method
...
Simulation-based Optimization for Facility Layout Design
conceptual modeling activities of Simulation-based Optimization for facility layout design in
conditions of high uncertainty
...
These results may be essential to support managers and
stakeholders during the introduction of new production processes in the design of facility
layouts
...
Heuristic method
genetic-algorithm-based heuristic method is proposed for technological strategy planning
...
Moreover, the mathematical model is constructed with the considerations of the
technology cost, effect of reducing fuel consumption and technology physical weight
...
Moreover, a comparison analysis of
performance is carried out between the elaborated genetic algorithm and the greedy
algorithm that is currently used by most automakers to determine the technological
strategies in China
...
In addition, the
incremental cost under the greedy algorithm is 16
...
Due to the counteractive effect under the weight-based standards in China, the
mass reduction technologies should be given lower priorities compared with current
strategies
...
It is recommended that automakers should develop heuristic algorithms to
make strategic decisions more reasonably
...
Improved heuristic algorithms for the Job Sequencing and Tool Switching Problem
flexible manufacturing systems, a single machine can be configured with different tools for
processing different jobs, each requiring a specific set of tools
...
The Job Sequencing and Tool Switching Problem (SSP)
aims to determine a job sequence and the tool-loading order for a flexible machine, in order
to minimize the number of tool switches
...
T

13

1
...
Castillo-Villar,
1
...
org/10
...
simpat
...
02
...

(http://www
...
com/science/article/pii/S1569190X18300200)
Abstract: To achieve a certain measurable performance in cutting machines, the machine parameters
need to be optimized
...
Although parameters are usually assumed to be deterministic, in practice, it is common to find
variations on the characteristics of the products or the processes
...
Moreover, multiple
operational objectives are of interest, in many real situations, these multiple objectives are
conflicting
...
This
paper presents a novel Simulation-based Multi-Objective Optimization (SimMOpt) solution
procedure
...
In the first phase, non-linear
goal programming is used for finding high quality initial solutions
...
e
...
Three objectives are optimized (i
...
, operation time, operation cost, and quality of the
product)
...
The analysis
demonstrates that the proposed method outperforms the Genetic Algorithm (GA), which was the
benchmark algorithm, in terms of the solution quality of all the objectives
...
e
...
71% improvement in the hypervolume approximation)
...
Group Theory-Based Optimization Algorithm for Solving Knapsack Problems,
Knowledge-Based Systems,
14

2018,
,
ISSN 0950-7051,
https://doi
...
1016/j
...
2018
...
045
...
sciencedirect
...
The key parts of GTOA
are that the feasible solution of the knapsack problem is considered as an element of the direct
product of groups and that the evolution process is implemented by multiplication and inverse
operations of the direct product of groups
...
GTOA is validated to be an efficient
algorithm for solving knapsack problems
...
In addition, GTOA is not only an efficient algorithm for solving
knapsack problems but is also the first paradigm that applies group theory to directly design an
evolutionary algorithm
...
Yuce, F
...
S
...
T
...
Mastrocinque, A
...
Fera,

15

3
...
org/10
...
cie
...
07
...

(http://www
...
com/science/article/pii/S0360835217303200)
Abstract: This paper presents a hybrid Genetic-Bees Algorithm based optimised solution for the
single machine scheduling problem
...
The proposed enhancement
aims to increase the global search capability of the BA gradually with new additions
...
g
...

This weakness occurs due to using a simple global random search operation during the search
process
...
The hybridisation process is realised by including two strategies
into the basic BA, named as “reinforced global search” and “jumping function” strategies
...
The second strategy, jumping function strategy, consists of four GA
operators as single point crossover, multipoint crossover, mutation and randomisation
...
According to the experiments, the proposed enhancements
provides better capability to basic BA to jump from local minima, and GBA performed better
compared to BA in terms of convergence and the quality of results
...

Keywords: Swarm-based optimisation; Bees Algorithm (BA); Genetic Bees Algorithm (GBA); Single
Machine Scheduling Problem (SMSP)

Michael Sharp, Ronay Ak, Thomas Hedberg,
16

4
...
org/10
...
jmsy
...
02
...

(http://www
...
com/science/article/pii/S0278612518300153)
Abstract: Machine learning (ML) (a subset of artificial intelligence that focuses on autonomous
computer knowledge gain) is actively being used across many domains, such as entertainment,
commerce, and increasingly in industrial settings
...
As these innovations continue across industries, the
manufacturing industry has also begun to gain benefits
...
0, ML for manufacturing is experiencing unprecedented levels of
interest; but how much is industry actually using these highly-publicized techniques? This paper sorts
through a decade of manufacturing publications to quantify the amount of effort being put towards
advancing ML in manufacturing
...
This also allows us to highlight any gaps, or areas where ML could play a vital role
...
The salient outcome of this research is the presentation of current focus areas and gaps in
ML applications to the manufacturing industry, with particular emphasis on cross domain knowledge
utilization
...

Keywords: Machine learning; Industrie 4
...
Shigematsu, Y
...
Kato, F
...
Takata,
17

5
...
org/10
...
cirp
...
04
...

(http://www
...
com/science/article/pii/S0007850618301057)
Abstract: Owing to increasing labor costs, manufacturing companies have placed importance on the
implementation of inexpensive automation systems, especially in developing countries
...
This is achieved by grouping the operations and allocating
equipment to each operation group
...
In this study, we propose a method for optimizing the
workstation layout to reduce the equipment transfer distance and to decrease the cost of equipment
for each product
...

Keywords: Assembly automation; Design method; Line layout

Chun-Chih Chiu, James T
...
A novel optimal replication allocation strategy for particle swarm optimization algorithms
applied to simulation optimization problem,
Applied Soft Computing,
Volume 71,
2018,
Pages 591-607,
ISSN 1568-4946,
https://doi
...
1016/j
...
2018
...
017
...
sciencedirect
...
In this study, the PSO is employed to explore and
exploit near-optimal or optimal solution in the design space
...
Optimal computing budget allocation (OCBA), a state-of-the-art resampling method, is
combined with metaheuristic principles to improve the accuracy of estimating best solutions and
enhancing efficiency by intelligently allocating the number of replications
...
In OCBA, the
probability of correct selection (P(CS)) in the currect best solution serves as an important
measurement
...
OCBA can halt allocation when P(CS) reaches higher than the desired
value, i
...
, P(CS)*
...
This situation indicates
that P(CS) cannot achieve P(CS)*; OCBA cannot stop allocation, and additional computational cost
may be wasted
...
The new version is P(CSE), which
considers calculation of global best, called the super individual, instead of current best solution
within a confidence level
...
We apply ORAS using an original
particle swarm optimization (PSO) and two variants of PSO to address stochastic buffer allocation
problem and stochastic function optimization problem compared with several state-of-the-art
technologies from literature
...
Numerical tests indicate that ORAS increases P(CSE)
in each generation and subsequently enhances the efficiency of PSO algorithms
...
Süer, Hadi Mosadegh,
7
...
org/10
...
asoc
...
12
...

(http://www
...
com/science/article/pii/S1568494618300012)
Abstract: One of the well-known problems in single machine scheduling context is the Job
Sequencing and Tool Switching Problem (SSP)
...
It has been proved in the literature that the SSP can be reduced to the Job Sequencing
Problem (JSeP)
...
In this paper, the JSeP is modeled as a Traveling
Salesman Problem of Second Order (2-TSP)
...
Then the Assignment Problem of Second Order (2-AP) and Karp-Steele
patching heuristic are incorporated to solve 2-JSeP
...
Q-learning, which is a kind of reinforcement learning
19

method, is used to learn from the experience of selecting the order of mutation and crossover
operators in each generation of the genetic algorithm
...
The DQGA even outperforms the existing methods for some instances, as could improve
the reported “best-known solutions” in notably less time
...

Keywords: Combinatorial optimization; Job scheduling; Tool switches; Genetic algorithm; Q-learning;
Reinforcement learning

Achmad P
...
Non-dominated sorting biogeography-based optimization for bi-objective reentrant flexible
manufacturing system scheduling,
Applied Soft Computing,
Volume 62,
2018,
Pages 187-202,
ISSN 1568-4946,
https://doi
...
1016/j
...
2017
...
045
...
sciencedirect
...
Its
complexity has increased significantly in line with the development of FMS over the past years
...
This model is formulated to identify the near optimal trade-off solutions capable of
addressing the bi-objectives of minimization of makespan and total earliness
...
We propose the development of NSBBO by substituting the standard linear function of
emigration-immigration rate with three approaches based on sinusoidal, quadratic and trapezoidal
models
...
The results
have shown that the NSBBO-trapezoidal model performed favorably and is comparable to current
existing models
...

Keywords: Bi-objective FMS scheduling; Non-dominated sorting biogeography-based optimization
(NSBBO); Migration models; Makespan; Earliness

Gerald Byrne, Dimitri Dimitrov, Laszlo Monostori, Roberto Teti, Fred van Houten, Rafi Wertheim,
9
...
org/10
...
cirpj
...
03
...

(http://www
...
com/science/article/pii/S1755581718300129)
Abstract: A new emerging frontier in the evolution of the digitalisation and the 4th industrial
revolution (Industry 4
...
This has
been defined by the authors to be “The use and integration of biological and bio-inspired principles,
materials, functions, structures and resources for intelligent and sustainable manufacturing
technologies and systems with the aim of achieving their full potential
...
The drivers and influencing factors are also reviewed in detail and in
the context of significant developments in materials science and engineering
...
Seven recommendations are delivered aimed at policy makers, at
funding agencies, at the manufacturing research community and at those industries involved in the
development of next generation manufacturing technology and systems
...
0 and that the market potential is very strong
...

Keywords: Industrie 4
...
0; Digitalisation; Bioinspired; Bio-intelligent; Bio-integrated

Prudhvi Reddy Gutta, Varun Sai Chinthala, Raja Venkatesh Manchoju, Viswa Charan MVN, Rajesh
Purohit,
21

10
...
org/10
...
matpr
...
11
...

(http://www
...
com/science/article/pii/S2214785317329292)
Abstract: This paper presents a review on facility layout design of an Automated Guided Vehicle in
Flexible Manufacturing system
...
We discuss various developments in layout design,
comparison of tandem layout with other layouts, various developments in location of pickup and
delivery points and flow path design
...

Keywords: Automated guided vehicles; flexible manufacturing system; tandem layout

Christian Cancino, José M
...
Forty years of Computers & Industrial Engineering: A bibliometric analysis,
Computers & Industrial Engineering,
Volume 113,
2017,
Pages 614-629,
ISSN 0360-8352,
https://doi
...
1016/j
...
2017
...
033
...
sciencedirect
...
Motivated by its 40th anniversary in
2016, this study aims to develop a bibliometric analysis of the publications of the journal between
1976 and 2015
...
In doing so, the work uses the Web of Science Core Collection
database to analyze the bibliometric data
...
The graphical
analysis uses bibliographic coupling, co-citation, citation, co-authorship and co-occurrence of
keywords
...


22

Keywords: Bibliometrics; Web of Science; h-index; VOS viewer

Maral Zafar Allahyari, Ahmed Azab,
12
...
org/10
...
eswa
...
07
...

(http://www
...
com/science/article/pii/S0957417417305274)
Abstract: In this paper, a mixed integer nonlinear programming model (MINLP) is formulated to
allocate the position of a number of unequal-area rectangular facilities within the continuum of a
planar plant site with a predetermined fixed area
...
A continuous approach to the problem is taken
...
The model accommodates for aisles,
whether vertical or horizontal, as well as blocks and preference locations, where no facilities are
allowed to be placed
...
Four test cases
including one from the local industry is used to justify the developed model
...
A unique heuristic algorithm is used for initialization
...
For validation, a group of benchmark problems is being used
...
Incorporating flexible capacity in the planning of a multi-product multi-echelon sustainable
reverse logistics network under uncertainty,
Journal of Cleaner Production,
Volume 198,
2018,
Pages 285-303,
ISSN 0959-6526,
https://doi
...
1016/j
...
2018
...
019
...
sciencedirect
...
Reverse
logistics is the process for value recovery and re-creation through a series of activities, i
...
, repair,
remanufacturing, recycling and energy recovery
...
In this paper, we propose a two-stage stochastic bi-objective mixed integer
programming model for the network design problem of a multi-product multi-echelon sustainable
reverse logistics system under uncertainty, which aims at providing a set of Pareto solutions between
profitability and environmental performance
...
Different from the previous modelling efforts derived from a genetic
“capacitated location problem”, this paper considers the impact from the system flexibility on
sustainable reverse logistics network design
...
The
experimental analysis illustrates that increasing environmental requirement will decrease the
profitability of the reverse logistics system, while, increasing flexibility may yield positive impacts on
both economic and environmental performance when the efficiency loss is kept at a proper level
...
A Petri Nets based Generic Genetic Algorithm framework for resource optimization in
business processes,
Simulation Modelling Practice and Theory,
Volume 86,
2018,
Pages 72-101,
ISSN 1569-190X,
https://doi
...
1016/j
...
2018
...
004
...
sciencedirect
...
Although BPS has been widely researched in
recent years, less attention has been devoted to intelligent optimization of resource allocation in
business processes by exploiting simulation outputs
...
Although GA has been successfully used for finding optimal resource allocation
schemes in manufacturing processes, in this previous work the design of these algorithms is ad hoc,
meaning that the chromosomes, crossover and selection operators, and fitness functions need to be
manually tailored for each problem
...
Specifically, the proposed GGA
framework is capable of producing an optimized resource allocation scheme for any CPN process
model, its task execution times, and the constraints on available resources
...
In both case studies, the
framework identified significantly improved resource allocation scheme relative to the one that
existed when the data for the case studies were collected
...
C Bhosale, P
...
Pawar,

15
...
org/10
...
matpr
...
11
...

(http://www
...
com/science/article/pii/S2214785317326494)
Abstract: In flexible jobshop manufacturing system ‘n’ number of jobs are manufactured on ‘m’
machines in the‘s’ stages
...
Material processing is
scheduled by following alternate process plans
...
Material flow optimisation is
the part of production planning stage
...
In this paper, a mathematical model is
modified to optimise material flow optimisation of a flexible manufacturing system
...
A real
coded Genetic Algorithm (RCGA) has implemented on flexible jobshop manufacturing system
problem to optimise material flow of the system
...

Keywords: Flexible Manufacturing system; Material flow; waiting time; Real Coded Genetic Algorithm
(RCGA)

Xiuli Wu, Yangjun Sun,
16
...
org/10
...
jclepro
...
10
...

(http://www
...
com/science/article/pii/S0959652617326483)
Abstract: We study how to save energy from the viewpoint of operation management
...
We
focus on the flexible job shop scheduling problem
...

An energy consumption model is proposed to compute the energy consumption for a machine in
different states
...

In the non-dominated sorted genetic algorithm, a green scheduling heuristic is presented to optimize
the makespan, the energy consumption and the numbers of turning-on/off machines simultaneously
...

Keywords: Flexible job shop scheduling problem; Energy-saving measure; Turn-on/off machines;
Multi-speed machine; A green scheduling heuristic

Dániel Tokody,
17
...
org/10
...
promfg
...
03
...

(http://www
...
com/science/article/pii/S2351978918304402)
Abstract: It is a world trend that digital economy is merging with real economy
...
Our research deals with the question whether
there is any general or formalised technology which could be equally used in various fields, and
which could help to achieve digitalisation in everyday life, also in the industry or in manufacturing
...
As it has
been noted by industrial players, the fourth industrial revolution is happening now
...
With elaborated
26

technological recommendations, digitalisation could be realised in an efficient way
...
Smart cyber-physical systems can help to make human life better and more
convenient by having features which cannot be found in traditional systems
...

Keywords: Digital Single Market; Digitising European Industry; Digitisation of manufacturing; ICT;
Holonic Manufacturing Systems

Tao Meng, Quan-Ke Pan, Jun-Qing Li, Hong-Yan Sang,
18
...
org/10
...
swevo
...
06
...

(http://www
...
com/science/article/pii/S2210650216304965)
Abstract: Lot-streaming is an effective technology to enhance the production efficiency by splitting a
job or a lot into several sublots
...
e
...
In many real-world production processes, however, it is not easy to
determine the optimal lot-splitting beforehand
...
We provide a mathematical model for the problem and present an
improved migrating birds optimization (IMMBO) to minimize the maximum completion time or
makespan
...
Moreover, a leaping mechanism is introduced to avoid
being trapped in the local optimum
...

Keywords: Migrating birds optimization; Meta-heuristics; Lot-streaming; Flow shop; Harmony search

Xingyu Li, Alparslan Emrah Bayrak, Bogdan I
...
Real-time teaming of multiple reconfigurable manufacturing systems,
CIRP Annals,
27

Volume 67, Issue 1,
2018,
Pages 437-440,
ISSN 0007-8506,
https://doi
...
1016/j
...
2018
...
051
...
sciencedirect
...
This paper
proposes a connected autonomous reconfigurable manufacturing system with a decentralized
management of individual autonomous lines that can be reconfigured for diverse manufacturing
tasks via manufacturing modules
...

Keywords: Optimization; Decision making; Reconfigurable manufacturing system

Matthieu Gondran, Marie-José Huguet, Philippe Lacomme, Alain Quilliot, Nikolay Tchernev,
20
...
org/10
...
engappai
...
05
...

(http://www
...
com/science/article/pii/S0952197618301258)
Abstract: The Job-Shop scheduling Problem with Transport (JSPT) is a combinatorial optimization
problem that combines both scheduling and routing problems
...
The JSPT is commonly
modeled by a disjunctive graph that encompasses both machine-operations and transportoperations
...
The vast majority of the evaluation functions used into
disjunctive graphs of JSPT, minimizes the makespan and there is no routing criteria in the objective
function
...
The present work investigates a new evaluation function for
the JSPT which integrates routing problematic to compute non semi-active solutions but which
minimize the makespan first and maximize the Quality of Service second thanks to a time-lag max
based modeling and an iterative process
...
The procedure
28

performance is benchmarked with a CPLEX resolution and the numerical experiments proved that
the proposed evaluation function is nearly optimal and provides new solutions with a high Quality of
Service
...
The Random Neural Network in a neurocomputing application for Web search,
Neurocomputing,
Volume 280,
2018,
Pages 123-134,
ISSN 0925-2312,
https://doi
...
1016/j
...
2017
...
075
...
sciencedirect
...

Businesses that provide services through the web have a commercial interest to rank higher on
results or recommendations to attract more customers, while Web search engines and recommender
systems make a profit based on the advertisers that can offer a higher payment for their
advertisements
...
We present an Intelligent Search Assistant (ISA) that acts as an
interface between the user and different search engines
...
We also present a new relevance metric, which
combines both relevance and rank, to validate and compare the performance of our proposed
solution against other Web search engines and recommender systems
...

Keywords: Intelligent Internet Search Assistant; World Wide Web; Random Neural Network; Web
search; Recommender systems; Neurocomputing

Alexander Bader, Ann-Kathrin Onken, Kirsten Tracht,

29

22
...
org/10
...
procir
...
03
...

(http://www
...
com/science/article/pii/S2212827118301926)
Abstract: Material testing in high-throughput systems facilitates a fast, precise and innovative
method for the identification of metals with required characteristics
...
Various
requirement specific test plans and the occurrence of temporarily paced sequences between
subsequent processes amplify the necessity of controlling the material flow to reduce idle times and
increase utilization
...

Keywords: Scheduling; Process Control; High-Throughput

Michael P
...
Bernstein, Steven Hoffenson, Qing Chang, Hidetaka Nishi, Timothy
Kliks, K
...
Morris,
23
...
org/10
...
jclepro
...
03
...

(http://www
...
com/science/article/pii/S0959652618308588)
Abstract: Environmental sustainability information in the manufacturing industry is not easily shared
between stages in the product lifecycle
...
Instead, designers
rely on aggregated, often outdated information or make decisions by analogy (e
...
, a similar
manufacturing process for a similar product yielded X and Y results)
...
This paper analyzes environmental sustainability assessment
methods to enable more accurate decisions earlier in design
...
Furthermore, opportunities
30

for aligning standard data representation to promote sustainability assessment during design are
identified
...
Abbas, H
...
Synthesis and optimization of manufacturing systems configuration using coplatforming,
CIRP Journal of Manufacturing Science and Technology,
Volume 20,
2018,
Pages 51-65,
ISSN 1755-5817,
https://doi
...
1016/j
...
2017
...
006
...
sciencedirect
...
The mathematical model is verified through
mathematical example and implemented in case study from automotive cylinder block
manufacturer
...
The synthesized manufacturing system platform
does not change with the introduction of new product variants with new features belonging to the
same product family which supports economic sustainability of manufacturing systems
...
C
...
Cheng,
24
...
org/10
...
omega
...
04
...

(http://www
...
com/science/article/pii/S0305048317301950)

31

Abstract: We study the scheduling problem where a set of jobs has already been scheduled for
processing on identical parallel machines to minimize the total completion time under the
assumption that all the jobs are available at time zero
...
To reduce the
negative impact of job unavailability and achieve an acceptable service level, one option in
rescheduling the jobs is to reject a subset of the jobs at a cost (the rejection cost)
...
The overall objective is to minimize the
former criterion, while keeping the objective values of the latter two criteria to no greater than the
given limits
...
(ii) An enhanced branch-and-price method that includes several features such as
execution of the differential evolution algorithm for finding good initial feasible solutions and solving
the pricing sub-problem, inclusion of reduced cost fixing during the inner iterations of the algorithm,
and use of a heuristic procedure for constructing a good integer feasible solution
...
The
computational results demonstrate that the incorporated enhancements greatly improve the
performance of the algorithm
...
An estimation of distribution algorithm for scheduling problem of flexible manufacturing
systems using Petri nets,
Applied Mathematical Modelling,
Volume 55,
2018,
Pages 776-788,
ISSN 0307-904X,
https://doi
...
1016/j
...
2017
...
018
...
sciencedirect
...
A candidate solution is represented as an individual with two sections: the first
contains the route information while the second is a permutation with repetition for parts
...
A
feasible individual is interpreted into a deadlock-free schedule while the infeasible ones are
amended
...
An offspring
individual is then produced based on the model from a seed individual, and the set of seed
individuals is extracted by a roulette method from the current population
...
A modified
variable neighborhood search is applied on offspring individuals to obtain better solutions in their
neighbors and hence to improve EDA’s performance
...
It is of
important practice significance for the manufacturing of time-critical and multi-type products
...
Neufeld,
26
...
org/10
...
ejor
...
08
...

(http://www
...
com/science/article/pii/S037722171730752X)
Abstract: This paper addresses the flexible job shop scheduling problem with sequence-dependent
setup times and where the objective is to minimize the makespan
...

After studying structural properties of the problem using a disjunctive graph model, we develop a
tabu search algorithm with specific neighborhood functions and a diversification structure
...
Test results first show that our algorithm
outperforms most existing approaches for the classical flexible job shop scheduling problem
...

Keywords: Scheduling; Flexible job shop; Tabu search; Sequence-dependent setup times

Han Wang, Zhigang Jiang, Yan Wang, Hua Zhang, Yanhong Wang,
27
...
org/10
...
jclepro
...
03
...

(http://www
...
com/science/article/pii/S0959652618309351)
Abstract: Scheduling can have significant impacts on energy saving in manufacturing systems
...
To this end, this paper
proposes a two-stage energy-saving optimization method for Flexible Job-Shop Scheduling Problems
(FJSP)
...
Then the
optimization is conducted at two stages: the machine tool stage and the operation sequence stage
...

Finally, a case study is employed to illustrate the applicability and validity of the proposed method
...
This may provide a
basis for decision makers to utilize a manufacturing scheduling that is optimized regarding its energy
saving
...
Coelho,
28
...
org/10
...
ejor
...
01
...

(http://www
...
com/science/article/pii/S0377221718300717)
Abstract: This paper investigates the multi-pickup and delivery problem with time windows in which
a set of vehicles is used to collect and deliver a set of items defined within client requests
...

We formally describe, model and solve this rich and new problem in the field of pickup and delivery
vehicle routing
...
Several new removal and
insertion operators are developed to tackle the special precedence constraints, which can be used in
other pickup and delivery problems
...

Keywords: Vehicle routing problem; Multi-pickup and delivery problem; Sequential ordering problem

34

Zhaojing Wang, Hao Hu, Jie Gong,
29
...
org/10
...
autcon
...
10
...

(http://www
...
com/science/article/pii/S0926580517303370)
Abstract: Current precast production scheduling methodologies have limited applicability in practice
due to the neglect of real-world production circumstances
...
In the proposed model, the trade-off can be achieved
between the conflicting goals of the on-time delivery of precast components and minimum
production cost, and the production resources configuration is optimized to cut down resource
waste
...
The
developed model fills the gap in simulation system design and methodology for precast production,
and increases the applicability of precast production scheduling methods in real construction
projects
...
Task allocation in manufacturing: A review,
Journal of Industrial Information Integration,
2018,
,
ISSN 2452-414X,
https://doi
...
1016/j
...
2018
...
001
...
sciencedirect
...
A proper TA
35

approach can give an optimized arrangement of existing resources, enable manufacturing system's
flexibility, thus improve both economic performance and social benefits
...
With the application of advanced information and manufacturing
technologies, the TA process improved with intelligence or even smartness could respond to demand
changes rapidly and maintain a good balance for supply-demand matching issues
...
The general workflow of TA is divided
into six stages: task description and modelling, analysis and modelling of TA process, algorithm
design and selection for TA, decision-making of TA, simulation, and task execution
...
In particular, the decision-making process of TA consists of two
approaches: the traditional way of system-oriented process (SoP), and the task-oriented process
(ToP)
...
At last, future directions of TA are pointed out to make systems achieve much more
intelligence
...
Petri nets and Automatic Control: A historical perspective,
Annual Reviews in Control,
Volume 45,
2018,
Pages 223-239,
ISSN 1367-5788,
https://doi
...
1016/j
...
2018
...
006
...
sciencedirect
...
It is intentionally not meant to be
comprehensive: we limit ourselves to outline, through selected representative topics, some of the
conceptual issues studied in the literature
...
Then we focus, more specifically, on
the use of Petri nets within Automatic Control
...
The
double benefit is the ability to model a larger class of systems and to provide efficient algorithms for
solving certain of those problems
...

Keywords: Discrete Event Systems; Petri Nets; Fluid Petri Nets; History of Control Engineering;
Bibliometrics

36

Omar Estrada, Iván D
...
Ortíz,
32
...
org/10
...
jclepro
...
12
...

(http://www
...
com/science/article/pii/S0959652617329396)
Abstract: A novel strategic decision methodology to increase energy efficiency in industrial processes,
the Energy Gap Method (EGM), is presented
...
Five gaps or differences between specific energy
consumptions can be calculated: production, quality, process, technological, and R&D gaps
...
Four successful industrial case studies applying EGM in polymer processing are
presented
...
For the second study, the same process used in
the first study was employed to intervene in a second machine, obtaining an SEC reduction of 65%
...
EGM is not limited to polymer processing plants, and it could be adapted to other
mass production processes
...
On the performance of the hybridisation between migrating birds optimisation variants and
differential evolution for large scale continuous problems,
Expert Systems with Applications,
Volume 102,
2018,
Pages 126-142,
ISSN 0957-4174,
https://doi
...
1016/j
...
2018
...
024
...
sciencedirect
...
More recently, an
adaptation of the algorithm has been proposed that enables it to deal with continuous search spaces
...
Firstly, a novel leader replacement strategy is proposed to counter
the slow convergence of the existing mbo algorithms due to low selection pressure
...
The new variants are tested on two sets of continuous large
scale optimisation problems
...
Further experiments on a
second suite of 19 problems show that mbo variants outperform de on 90% of these test-cases
...
Awad, Noha M
...
Joint decisions of machining process parameters setting and lot-size determination with
environmental and quality cost consideration,
Journal of Manufacturing Systems,
Volume 46,
2018,
Pages 79-92,
ISSN 0278-6125,
https://doi
...
1016/j
...
2017
...
004
...
sciencedirect
...
The objective of
this research is to propose an optimization model that considers both losses due to negative
environmental impact and rework cost for a product-mix production planning problem manufactured
through turning operation
...
Surface
roughness is used as a metric to assess the desired quality level of the finished machined part
...
Energy
consumption and CO2 emissions are estimated using lifecycle analysis (LCA) approach and used to
quantify the environmental cost
...
Results revealed the importance of taking a system approach
when solving for optimum machining parameters and lot-sizing if quality and environmental costs are
considered
...
Moreover, and in order for
environmental cost to significantly impact decision makers, carbon selling price or cap limit needs to
be stringent enough to drive emission reductions
...
Lin, M
...
Naim, L
...
Gosling,

35
...
org/10
...
ijpe
...
12
...

(http://www
...
com/science/article/pii/S0925527316303796)
Abstract: In 1994, through classic control theory, John, Naim and Towill developed the ‘Automatic
Pipeline, Inventory and Order-based Production Control System’ (APIOBPCS) which extended the
original IOBPCS archetype developed by Towill in 1982 ─ well-recognised as a base framework for a
production planning and control system
...
Using various databases
such as Scopus, Web of Science, Google Scholar (113 papers), we found that the IOBPCS archetypes
have been studied regarding the a) modification of four inherent policies related to forecasting,
inventory, lead-time and pipeline to create a ‘family’ of models, b) adoption of the IOBPCS ‘family’ to
reduce supply chain dynamics, and in particular bullwhip, c) extension of the IOBPCS family to
represent different supply chain scenarios such as order-book based production control and closedloop processes
...
Most studies are conceptual with limited practical applications described
...
Also, empirical
exploitation of the existing models is recommended
...
Amin, Ahmed El-Bouri,
36
...
org/10
...
cie
...
05
...

(http://www
...
com/science/article/pii/S0360835218302225)
Abstract: Dispatching rule selection is an important problem in production scheduling
...
The multi-criteria dispatching rule selection problem is first converted into a
preference voting system, and a minimax LP model is then introduced for solving the corresponding
problem
...
An experimental study considering two different production priority settings is
used to show the applicability of the proposed method
...
Simulation-based Optimization for Facility Layout Design in Conditions of High Uncertainty,
Procedia CIRP,
Volume 72,
2018,
Pages 334-339,
ISSN 2212-8271,
https://doi
...
1016/j
...
2018
...
227
...
sciencedirect
...
Addressing this
issue, this paper aims to understand the conceptual modeling activities of Simulation-based
Optimization for facility layout design in conditions of high uncertainty
...
These results may be essential to support
managers and stakeholders during the introduction of new production processes in the design of
facility layouts
...
Heuristic method for automakers' technological strategy making towards fuel economy
regulations based on genetic algorithm: A China's case under corporate average fuel
consumption regulation,
40

Applied Energy,
Volume 204,
2017,
Pages 544-559,
ISSN 0306-2619,
https://doi
...
1016/j
...
2017
...
076
...
sciencedirect
...
However, it is
quite difficult for the automakers to secure an optimal portfolio of fuel-efficient technologies which
complies with these strengthened standards and minimizes the overall cost at the same time
...
In
particular, a case study of the Corporate Average Fuel Economy standards in China is presented
...
Problem complexity is analyzed
and proven NP-hard
...
The results imply that genetic algorithm outperforms
the common method because it provides more economical and reasonable strategies
...
4% higher than that under genetic algorithm
...
To satisfy the
standards by 2020, automakers should implement more conventional engine and transmission
technologies instead of the hybrid electric vehicle technologies
...

Keywords: Fuel economy regulation; Technology strategy; Genetic algorithm; Complexity analysis;
Corporate Average Fuel Consumption

Gustavo Silva Paiva, Marco Antonio M
...
Improved heuristic algorithms for the Job Sequencing and Tool Switching Problem,
Computers & Operations Research,
Volume 88,
2017,
Pages 208-219,
ISSN 0305-0548,
https://doi
...
1016/j
...
2017
...
013
...
sciencedirect
...
There is a limit to the maximum
number of tools that can be loaded simultaneously in the machine; between the processing of two
different jobs, it may be necessary to switch these tools, causing interruptions in the production line
...
These
two tasks can be separated into Sequencing, an NP-hard problem, and Tooling, which is a P problem
if the job sequence is given
...
These contributions
are combined in an Iterated Local Search scheme, which is then combined with a classical tooling
method, in order to solve the SSP
...

Keywords: Scheduling; Job Sequencing and Tool Switching Problem; Iterated Local Search

Boyd A
...
T
...
An integrated performance driven manufacturing management strategy based on overall
system effectiveness,
Computers in Industry,
Volume 97,
2018,
Pages 146-156,
ISSN 0166-3615,
https://doi
...
1016/j
...
2018
...
008
...
sciencedirect
...
These performance
improvements, often in the areas of quality, cost, and delivery (QCD) may be external in areas
affecting customer satisfaction, and internal in areas such as improving average productivity
obtained per staff member, or per unit of production area floor space
...
The OSE model uses customer service level in terms of stockout frequency as a
trade-off parameter when optimising overall performance achievable from the production line
...
GPU based parallel genetic algorithm for solving an energy efficient dynamic flexible flow
shop scheduling problem,
42

Journal of Parallel and Distributed Computing,
2018,
,
ISSN 0743-7315,
https://doi
...
1016/j
...
2018
...
022
...
sciencedirect
...
Most efforts considering energy issues in scheduling
problems have focused on static scheduling
...
This paper proposes an energy
efficient dynamic flexible flow shop scheduling model using the peak power value with consideration
of new arrival jobs
...
In order to achieve
a speedup to meet the short response in the dynamic environment, the proposed method is
designed to be highly consistent with the NVIDIA CUDA software model
...

Keywords: Flexible flow shop; Energy efficiency; Dynamic scheduling; Hybrid parallel genetic
algorithm; GPU Computing

Behzad Karimi, S
...
A
...
Bi-objective optimization of a job shop with two types of failures for the operating machines
that use automated guided vehicles,
Reliability Engineering & System Safety,
Volume 175,
2018,
Pages 92-104,
ISSN 0951-8320,
https://doi
...
1016/j
...
2018
...
018
...
sciencedirect
...
This paper investigates
43

the reliability of machinery in job shop production systems, where materials, parts, and other
production needs are handled by automated guided vehicles (AGV)
...
As there is no closedform equation to calculate the reliability of the shop in the Weibull case, a simulation approach is
taken in this paper to estimate the reliability
...
In order to assess the efficacy of the proposed model, some
random instances are generated, based on which two meta-heuristic algorithms called nondominated sorting cuckoo search (NSCS) and multi-objective teaching–learning-based optimization
(MOTLBO) are designed
...

Keywords: Flexible manufacturing systems; Automated guided vehicle; Nonlinear optimization; NSCS;
MOTLBO; AHP-TOPSIS

Wojciech Bożejko, Andrzej Gnatowski, Jarosław Pempera, Mieczysław Wodecki,
43
...
org/10
...
cie
...
09
...

(http://www
...
com/science/article/pii/S036083521730459X)
Abstract: In this paper, we consider a cyclic job shop problem, consisting of production of a certain
set of elements at fixed intervals
...
e
...
We introduce
a new parallel method for the cost function calculation
...
Since the
problem is strongly NP-hard, a heuristic algorithm was designed to solve it
...

Keywords: Job shop problem; Cyclic scheduling; Tabu search; Parallel algorithm

Sumin Kang, Minhee Kim, Junjae Chae,
44
...
org/10
...
eswa
...
10
...

(http://www
...
com/science/article/pii/S0957417417307194)
Abstract: Facility layout problems (FLPs) are design problems that involve determining the most
favorable arrangement of facilities in a given space
...
This type of layout is commonly discussed when
designing a flexible manufacturing system (FMS)
...

Because the material flow between cells must pass through the loop path, distance is not measured
in the conventional manner (i
...
the rectilinear or Euclidean distance)
...
In this study, we propose a
random-key and cuckoo search (CS) based approach to solve the CLLP
...
To evaluate the
present algorithm, computational experiments are conducted using benchmark problems from a
previous study
...

Keywords: Facility layout design; Closed loop layout; Cuckoo search; Flexible manufacturing system

Yiyong Xiao, Yue Xie, Sadan Kulturel-Konak, Abdullah Konak,
45
...
org/10
...
cor
...
06
...

(http://www
...
com/science/article/pii/S0305054817301648)
Abstract: Facility layout problems (FLPs) are quite common and important in many industries
...
A new
evolutionary meta-heuristic framework, named as the problem evolution algorithm (PEA), is
developed as a general solution approach for FLPs
...
In addition, a new polyhedral inner-approximation method is proposed based on secant lines
for the linearization of the non-linear constraint for department area requirements
...
Furthermore, two new symmetry-breaking constraints
45

which help to improve the computational efficiency of the MILP model are also introduced
...

Keywords: Facility layout; Evolution algorithm; Mixed integer linear programming; Hybrid
optimization

Yingfeng Zhang, Jin Wang, Yang Liu,

46, Game theory based real-time multi-objective flexible job shop scheduling
considering environmental impact,
Journal of Cleaner Production,
Volume 167,
2017,
Pages 665-679,
ISSN 0959-6526,
https://doi
...
1016/j
...
2017
...
068
...
sciencedirect
...
It is an effective way to progress towards green manufacturing
...
A
typical challenge is how to achieve the real-time data-driven optimisation for the manufacturing
shop floor to improve energy efficiency and production efficiency
...
To obtain an optimal solution, a sub-game perfect Nash equilibrium solution was
designed
...

The results showed that the makespan, the total workload of machines and energy consumption
were reduced by 4
...
75%, and 9
...
These improvements can contribute to
sustainable development and cleaner production of manufacturing industry
...
org/10
...
procir
...
12
...

(http://www
...
com/science/article/pii/S2212827117311150)
Abstract: This work presents a mixed integer linear programming (MILP) formulation to find an
optimal solution to a small instance of the complex scheduling problem in a make-to-order
production
...
Feasible
schedules for the machines and the AGVs are generated from different sized instances to evaluate
the limits of the mathematical model
...
The comparison leads to the insight, that on the
one hand optimal solutions cannot be calculated for most real world scenarios due to the complexity
and on the other hand the application of a standard dispatching rule lead to poor performances
neither of the technics are satisfying the need to generate an appropriate schedule
...

Keywords: Milp; Blocking job shop; Agv; Make-to-order

Hamed Piroozfard, Kuan Yew Wong, Wai Peng Wong,

48
...
org/10
...
resconrec
...
12
...

(http://www
...
com/science/article/pii/S0921344916303688)
Abstract: In scheduling, previous research attention has been directed towards classical-based
objective functions, while ignoring environmental-based objective functions
...
In order to solve the presented problem
effectively, an improved multi-objective genetic algorithm is proposed to obtain high quality nondominated schedules
...
Stepwise delineation of the proposed algorithm
is provided and fifteen newly extended test instances are solved by the proposed approach
...
The principal results show that: (1) The
proposed algorithm is superior in finding high quality non-dominated schedules, (2) It performs
better in four averaged comparison metrics as compared to the other algorithms, and (3) Carbon
footprint has an impact on the optimum solutions
...
Production managers will also have the flexibility in selecting a schedule
from amongst a set of non-dominated schedules
...
Juan,

49
...
org/10
...
simpat
...
09
...

(http://www
...
com/science/article/pii/S1569190X17301338)
Abstract: Modern manufacturing systems are composed of several stages
...
This is known as the
distributed assembly permutation flowshop problem (DAPFSP)
...
Besides
minimizing the expected makespan, we also discuss the need for considering other measures of
statistical dispersion in order to account for risk
...
Our approach integrates biased randomization and simulation
techniques inside a metaheuristic framework
...

Keywords: Distributed assembly flowshop; Stochastic optimization; Simulation-optimization;
Metaheuristics; Biased randomization

48

Disclaimer
This note is taken for my research purpose
I have list down the key points for Genetic Algorithms for FMS
The writeups are taken from abstracts mention in the list of abstracts
You may find and read the full text there

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