REPAIR SHOP JOB SCHEDULING WITH PARALLEL OPERATORS AND MULTIPLE CONSTRAINTS USING SIMULATED ANNEALING

Scheduling problems are generally treated as NP – complete combinatorial optimization problems which is a multi-objective and multi constraint one. Repair shop Job sequencing and operator allocation is one such NP – complete problem. For such problems, an efficient technique is r...

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Main Authors: N. Shivasankaran, P. Senthil Kumar, G. Nallakumarasamy, K. Venkatesh Raja
Format: Article
Language:English
Published: Springer 2013-04-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Online Access:https://www.atlantis-press.com/article/25868381.pdf
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author N. Shivasankaran
P. Senthil Kumar
G. Nallakumarasamy
K. Venkatesh Raja
author_facet N. Shivasankaran
P. Senthil Kumar
G. Nallakumarasamy
K. Venkatesh Raja
author_sort N. Shivasankaran
collection DOAJ
description Scheduling problems are generally treated as NP – complete combinatorial optimization problems which is a multi-objective and multi constraint one. Repair shop Job sequencing and operator allocation is one such NP – complete problem. For such problems, an efficient technique is required that explores a wide range of solution space. This paper deals with Simulated Annealing Technique, a Meta - heuristic to solve the complex Car Sequencing and Operator Allocation problem in a car repair shop. The algorithm is tested with several constraint settings and the solution quality exceeds the results reported in the literature with high convergence speed and accuracy. This algorithm could be considered as quite effective while other heuristic routine fails.
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spelling doaj.art-f80aba1285d14c09a4554c3a183bdf882022-12-22T00:11:47ZengSpringerInternational Journal of Computational Intelligence Systems1875-68832013-04-016210.1080/18756891.2013.768434REPAIR SHOP JOB SCHEDULING WITH PARALLEL OPERATORS AND MULTIPLE CONSTRAINTS USING SIMULATED ANNEALINGN. ShivasankaranP. Senthil KumarG. NallakumarasamyK. Venkatesh RajaScheduling problems are generally treated as NP – complete combinatorial optimization problems which is a multi-objective and multi constraint one. Repair shop Job sequencing and operator allocation is one such NP – complete problem. For such problems, an efficient technique is required that explores a wide range of solution space. This paper deals with Simulated Annealing Technique, a Meta - heuristic to solve the complex Car Sequencing and Operator Allocation problem in a car repair shop. The algorithm is tested with several constraint settings and the solution quality exceeds the results reported in the literature with high convergence speed and accuracy. This algorithm could be considered as quite effective while other heuristic routine fails.https://www.atlantis-press.com/article/25868381.pdfCar sequencingSimulated Annealing TechniqueRepair ShopOptimizationOperator allocationCost Minimization
spellingShingle N. Shivasankaran
P. Senthil Kumar
G. Nallakumarasamy
K. Venkatesh Raja
REPAIR SHOP JOB SCHEDULING WITH PARALLEL OPERATORS AND MULTIPLE CONSTRAINTS USING SIMULATED ANNEALING
International Journal of Computational Intelligence Systems
Car sequencing
Simulated Annealing Technique
Repair Shop
Optimization
Operator allocation
Cost Minimization
title REPAIR SHOP JOB SCHEDULING WITH PARALLEL OPERATORS AND MULTIPLE CONSTRAINTS USING SIMULATED ANNEALING
title_full REPAIR SHOP JOB SCHEDULING WITH PARALLEL OPERATORS AND MULTIPLE CONSTRAINTS USING SIMULATED ANNEALING
title_fullStr REPAIR SHOP JOB SCHEDULING WITH PARALLEL OPERATORS AND MULTIPLE CONSTRAINTS USING SIMULATED ANNEALING
title_full_unstemmed REPAIR SHOP JOB SCHEDULING WITH PARALLEL OPERATORS AND MULTIPLE CONSTRAINTS USING SIMULATED ANNEALING
title_short REPAIR SHOP JOB SCHEDULING WITH PARALLEL OPERATORS AND MULTIPLE CONSTRAINTS USING SIMULATED ANNEALING
title_sort repair shop job scheduling with parallel operators and multiple constraints using simulated annealing
topic Car sequencing
Simulated Annealing Technique
Repair Shop
Optimization
Operator allocation
Cost Minimization
url https://www.atlantis-press.com/article/25868381.pdf
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