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Comparative Analysis of Metaheuristic Approaches for Makespan Minimization for No Wait Flow Shop Scheduling Problem
2017
International Journal of Electrical and Computer Engineering (IJECE)
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This paper provides comparative analysis of various metaheuristic approaches for m-machine no wait flow shop scheduling (NWFSS) problem with makespan as an optimality criterion. ...
The objective is to find out the scheduling sequence of jobs to minimize total completion time. In order to meet the objective criterion, existing metaheuristic techniques viz. ...
The main objective of this paper is to compare effectiveness of some metaheuristic techniques for minimizing makespan for NWFSS problem. ...
doi:10.11591/ijece.v7i1.pp417-423
fatcat:hqnuucsdvfbajmk2253le2obfy
Application of Genetic Algorithm on Job Shop Scheduling Problem to Minimise Makespan
2016
International Journal of Science and Research (IJSR)
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Job shop scheduling problem (JSSP) is a well known combinatorial optimization problem with NP hard difficulty. ...
Job shop scheduling (JSS) is the efficient allocation of shared resources (M) to competing jobs (J) such that a specific optimization criterion is satisfied. The complexity of JSS is (J!) ...
Acknowledgment The support and guidance of my guide Prof. Mrs. L.A. Bewoor is highly appreciated. ...
doi:10.21275/v5i6.nov164660
fatcat:hcn6oe3kcbbttnyyi5jidlywty
Improved Genetic Algorithm Approach based on New Virtual Crossover Operators for Dynamic Job Shop Scheduling
2020
IEEE Access
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The present study considers a dynamic job shop environment to minimize the makespan. ...
Table 3 and Fig.10 represent the different results of the makespan minimization for 26 Dynamic JSSP. ...
doi:10.1109/access.2020.3040345
fatcat:ufeh74vxcjfgriqk46e5ugc6cy
Multi-objective permutation and non-permutation flow shop scheduling problems with no-wait: A systematic literature review
2020
Reserche operationelle
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Flow shop scheduling is a type of scheduling where sequence follows for each job on a set of machines for processing. ...
The flexible flow shop scheduling problems with no-wait have mainly addressed for flow optimization on the shop floor in manufacturing, processing, and allied industries. ...
INTRODUCTION The multi-objective flow shop scheduling problem is the type of production scheduling problems. ...
doi:10.1051/ro/2020055
fatcat:t3g52lg2jzghfcljyig6ruu25a
Scheduling with Maintenance Technique in Dynamic Job Shop System including Machine Breakdowns
2022
Medicon Engineering Themes
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This paper is addressed to study the problem of job shop in dynamic environment with the risk of random machine breakdown. It is considered a NP Hard optimization problem. ...
Machine scheduling is concerned with the problem of optimally scheduling available machines. ...
Her research interets include almost the fields of Operation Reasearch, Combinatorial Optimization problems and Artificial Intelligence for real world applications. She is an IEEE fellow student ...
doi:10.55162/mcet.02.019
fatcat:mcwcnoa6yffudjnrvsv5yy2pj4
Promoting green internet computing throughout simulation-optimization scheduling algorithms
2013
2013 Winter Simulations Conference (WSC)
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The paper discusses the relevance of considering environmental factors in modern computing and then describes how simulation can be combined with scheduling metaheuristics in order to reduce the expected ...
This, in turn, allows for a reduction in average energy consumption, which makes the computing facility more efficient from an environmental perspective. ...
-also with the objective of minimizing the expected makespan. ...
doi:10.1109/wsc.2013.6721571
dblp:conf/wsc/CabreraPJMF13
fatcat:w3ic7s3hqrbbnphpwmaga2cxse
A high performing metaheuristic for job shop scheduling with sequence-dependent setup times
2010
Applied Soft Computing
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It can simultaneously investigate several factors and This paper investigates scheduling job shop problems with sequence-dependent setup times under minimization of makespan. ...
Vinod and Sridharan [34] address dynamic SDST JSS and develop a discrete event simulation model of the job shop. ...
doi:10.1016/j.asoc.2009.08.039
fatcat:52qvus5qrjhgfkykpar43ethmq
Comparisons of bi-objective genetic algorithms for hybrid flowshop scheduling with sequence-dependent setup times
2012
International Journal of Production Research
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Furthermore, based on the review of the existing papers, the need for future research is recognized. ...
Among them, Sequence Dependent Setup Times-Multi-Objective Hybrid Flowshop Scheduling Problem (SDST-MOHFSP) has been an intensifying attention of researchers and practitioners in the last three decades ...
Maboudian and Shafaei [144] have addressed a two-stage SDST-MOHFFSP assembly flow shop scheduling problem with the objectives of minimizing makespan and maximum tardiness. ...
doi:10.1080/00207543.2010.543178
fatcat:ch5qv36nyjedvojvytrmjh6wpu
Job-shop Scheduling Incorporating Dynamic and Flexible Facility Layout Planning
2019
Journal of Industrial and Intelligent Information
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The makespan of the schedule is minimized by a tabu search algorithm. ...
A method for solving the job-shop scheduling problem (JSSP) integrated with dynamic and flexible facility layout planning (FLP) is proposed. ...
The objective of the FLPIJSSP is to minimize the makespan (i.e., maximum time to complete all jobs) of the schedule. ...
doi:10.18178/jiii.7.1.12-17
fatcat:d3crakphjnej5joqux6jtvcory
Metaheuristics for two-stage flow-shop assembly problem with a truncation learning function
2020
Figshare
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To overcome this limitation, this study investigates a two-stage three-machine flow-shop assembly problem with a truncation learning function where the makespan criterion (completion of the last job) is ...
However, the truncation function is very limited in the two-stage flow-shop assembly scheduling settings. ...
S2S3S4S5S6 Average AEP obtained under variation in Type for small-n scheduling Average AEP obtained under variation in τ for small-n scheduling Average RPD obtained under variation in n for large-n scheduling ...
doi:10.6084/m9.figshare.12263807.v1
fatcat:ljgia3uqufe2blzoukofrrgqa4
A Survey of Solving Approaches for Multiple Objective Flexible Job Shop Scheduling Problems
2015
Cybernetics and Information Technologies
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Usually hybrid metaheuristic algorithms are proposed for large dimensional real life problems and they outlay the tendency for the future developments of efficient solution approaches for multiple objective ...
Many real life scheduling problems can be formulated as Flexible Job Shop Scheduling Problems (FJSSPs) which simultaneously optimize several conflicting criteria. ...
the purposes of development of software tool for generating efficient schedules by an innovative method for multiple objective optimization in discrete manufacturing within the scope of small and medium ...
doi:10.1515/cait-2015-0025
fatcat:aqgxekvzpbd4rf6uoyta655xi4
Bi-Objective Dynamic Multiprocessor Open Shop Scheduling: An Exact Algorithm
2020
Algorithms
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In this paper, a dynamic case of the multiprocessor open shop scheduling problem is addressed. ...
Two objectives are considered simultaneously—the minimization of the makespan and the minimization of the mean weighted flow time. ...
In the scheduling literature, comparisons of the different MILP models are provided for the flow shop scheduling problem [31] , for the OSP [32] , for the flexible job shop scheduling [33] and for ...
doi:10.3390/a13030074
fatcat:sq7qdvxvwbaw7b3xqmm3wuzhw4
An Ant Colony System Algorithm for the Hybrid Flow-Shop Scheduling Problem
2011
International Journal of Applied Metaheuristic Computing
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An integrated ant colony optimization algorithm (IACS-HFS) is proposed for a multistage hybrid flow-shop scheduling problem. The objective of scheduling is the minimization of the makespan. ...
The performance of the algorithm is evaluated by numerical experiments on benchmark problems taken from the literature. ...
We quote hereafter, some recent studies carried out on the HFS problem minimizing the makespan. ...
doi:10.4018/jamc.2011010103
fatcat:srzwsncnv5anhltqxhnl4tjyta
A supervised method for scheduling multi-objective job shop systems in the presence of market uncertainties
2020
Reserche operationelle
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The purpose of this research is to develop a new scheduling method for job-shop systems in the presence of uncertain demands while optimizing completion time, operational costs and machine load average ...
In this research a new multi-objective nonlinear mixed integer programming method is developed for job-shop scheduling in the presence of product demand uncertainty. ...
The authors would like to sincerely appreciate the editor and also anonymous reviewers for their constructive comments during publication process. ...
doi:10.1051/ro/2020082
fatcat:o5e2m57tjfbybkezcmno3hi2ye
Population-based Tabu search with evolutionary strategies for permutation flow shop scheduling problems under effects of position-dependent learning and linear deterioration
2020
Soft Computing - A Fusion of Foundations, Methodologies and Applications
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This paper investigates permutation flow shop scheduling (PFSS) problems under the effects of position-dependent learning and linear deterioration. ...
The time requirement for solving large-scale problems type of PFSS problem is exceedingly high. ...
Liaw (2000) integrated TS into GA for the open shop scheduling problem where the objective is to minimize the makespan. ...
doi:10.1007/s00500-020-05234-7
fatcat:bhg6msr5jberddl6iadfqitmci
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