Design of a Hybrid Genetic Algorithm for Parallel Machines Scheduling to Minimize Job Tardiness and Machine Deteriorating Costs with Deteriorating Jobs in a Batched Delivery System

This paper studies the parallel machine scheduling problem subject to machine and job deterioration in a batched delivery system. By the machine deterioration effect, we mean that each machine deteriorates over time, at a different rate. Moreover, job processing times are increasing functions of the...

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Main Authors: Mohammad Saidi-Mehrabad, Samira Bairamzadeh
Format: Article
Language:English
Published: Islamic Azad University, Qazvin Branch 2018-03-01
Series:Journal of Optimization in Industrial Engineering
Subjects:
Online Access:http://www.qjie.ir/article_272_f2aa32fa1d321e365c85f08fb189012f.pdf
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author Mohammad Saidi-Mehrabad
Samira Bairamzadeh
author_facet Mohammad Saidi-Mehrabad
Samira Bairamzadeh
author_sort Mohammad Saidi-Mehrabad
collection DOAJ
description This paper studies the parallel machine scheduling problem subject to machine and job deterioration in a batched delivery system. By the machine deterioration effect, we mean that each machine deteriorates over time, at a different rate. Moreover, job processing times are increasing functions of their starting times and follow a simple linear deterioration. The objective functions are minimizing total tardiness, delivery, holding and machine deteriorating costs. The problem of total tardiness on identical parallel machines is NP-hard, thus the under investigation problem, which is more complicated, is NP-hard too. In this study, a mixed-integer programming (MILP) model is presented and an efficient hybrid genetic algorithm (HGA) is proposed to solve the concerned problem. A new crossover and mutation operator and a heuristic algorithm have also been proposed depending on the type of problem. In order to evaluate the performance of the proposed model and solution procedure, a set of small to large test problems are generated and results are discussed. The related results show the effectiveness of the proposed model and GA for test problems.
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spelling doaj.art-17ed747e50a14bd2be57498396be0b3c2022-12-21T23:30:52ZengIslamic Azad University, Qazvin BranchJournal of Optimization in Industrial Engineering2251-99042423-39352018-03-01111355010.22094/joie.2018.272272Design of a Hybrid Genetic Algorithm for Parallel Machines Scheduling to Minimize Job Tardiness and Machine Deteriorating Costs with Deteriorating Jobs in a Batched Delivery SystemMohammad Saidi-Mehrabad0Samira Bairamzadeh1Professor, Department of Industrial Engineering, Iran University of Science and Technology, Tehran, IranPh.D. Student, department of industrial engineering, Iran University of Science and Technology, Tehran, IranThis paper studies the parallel machine scheduling problem subject to machine and job deterioration in a batched delivery system. By the machine deterioration effect, we mean that each machine deteriorates over time, at a different rate. Moreover, job processing times are increasing functions of their starting times and follow a simple linear deterioration. The objective functions are minimizing total tardiness, delivery, holding and machine deteriorating costs. The problem of total tardiness on identical parallel machines is NP-hard, thus the under investigation problem, which is more complicated, is NP-hard too. In this study, a mixed-integer programming (MILP) model is presented and an efficient hybrid genetic algorithm (HGA) is proposed to solve the concerned problem. A new crossover and mutation operator and a heuristic algorithm have also been proposed depending on the type of problem. In order to evaluate the performance of the proposed model and solution procedure, a set of small to large test problems are generated and results are discussed. The related results show the effectiveness of the proposed model and GA for test problems.http://www.qjie.ir/article_272_f2aa32fa1d321e365c85f08fb189012f.pdfParallel machine schedulingMachine deteriorationJob deteriorationBatched delivery systemGenetic Algorithm
spellingShingle Mohammad Saidi-Mehrabad
Samira Bairamzadeh
Design of a Hybrid Genetic Algorithm for Parallel Machines Scheduling to Minimize Job Tardiness and Machine Deteriorating Costs with Deteriorating Jobs in a Batched Delivery System
Journal of Optimization in Industrial Engineering
Parallel machine scheduling
Machine deterioration
Job deterioration
Batched delivery system
Genetic Algorithm
title Design of a Hybrid Genetic Algorithm for Parallel Machines Scheduling to Minimize Job Tardiness and Machine Deteriorating Costs with Deteriorating Jobs in a Batched Delivery System
title_full Design of a Hybrid Genetic Algorithm for Parallel Machines Scheduling to Minimize Job Tardiness and Machine Deteriorating Costs with Deteriorating Jobs in a Batched Delivery System
title_fullStr Design of a Hybrid Genetic Algorithm for Parallel Machines Scheduling to Minimize Job Tardiness and Machine Deteriorating Costs with Deteriorating Jobs in a Batched Delivery System
title_full_unstemmed Design of a Hybrid Genetic Algorithm for Parallel Machines Scheduling to Minimize Job Tardiness and Machine Deteriorating Costs with Deteriorating Jobs in a Batched Delivery System
title_short Design of a Hybrid Genetic Algorithm for Parallel Machines Scheduling to Minimize Job Tardiness and Machine Deteriorating Costs with Deteriorating Jobs in a Batched Delivery System
title_sort design of a hybrid genetic algorithm for parallel machines scheduling to minimize job tardiness and machine deteriorating costs with deteriorating jobs in a batched delivery system
topic Parallel machine scheduling
Machine deterioration
Job deterioration
Batched delivery system
Genetic Algorithm
url http://www.qjie.ir/article_272_f2aa32fa1d321e365c85f08fb189012f.pdf
work_keys_str_mv AT mohammadsaidimehrabad designofahybridgeneticalgorithmforparallelmachinesschedulingtominimizejobtardinessandmachinedeterioratingcostswithdeterioratingjobsinabatcheddeliverysystem
AT samirabairamzadeh designofahybridgeneticalgorithmforparallelmachinesschedulingtominimizejobtardinessandmachinedeterioratingcostswithdeterioratingjobsinabatcheddeliverysystem