Scheduling dynamic job shop manufacturing cells with family setup times: a simulation study

Heuristics based on dispatching rules are still widely used in practice as methods for effective scheduling systems. Despite the successful development of various novel dispatching rules for traditional job shop scheduling environments, nearly none of these has been applied to cellular manufacturing...

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Main Authors: Armin Klausnitzer, Janis S. Neufeld, Udo Buscher
Format: Article
Language:English
Published: BVL 2017-11-01
Series:Logistics Research
Subjects:
Online Access:https://www.bvl.de/lore/all-volumes--issues/volume-10/issue-1/scheduling-dynamic-job-shop-manufacturing-cells-with-family-setup-times-a-simulation-study
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spelling doaj-9a4168632650422781041451e90fbb2e2020-11-24T23:11:22ZengBVLLogistics Research1865-035X1865-03682017-11-0110411810.23773/2017_4Scheduling dynamic job shop manufacturing cells with family setup times: a simulation studyArmin Klausnitzer0Janis S. Neufeld1Udo Buscher2Faculty of Business and Economics, TU DresdenFaculty of Business and Economics, TU DresdenFaculty of Business and Economics, TU DresdenHeuristics based on dispatching rules are still widely used in practice as methods for effective scheduling systems. Despite the successful development of various novel dispatching rules for traditional job shop scheduling environments, nearly none of these has been applied to cellular manufacturing within the last decade. In this paper, we close this gap by implementing novel dispatching rules into two-stage heuristics in order to solve group scheduling problems in a job shop manufacturing cell. By a comprehensive simulation study these heuristics are evaluated and compared to established effective dispatching rules. It is shown that in some scenarios new heuristics are capable of leading to superior results compared to previous heuristics with respect to mean flow time, mean tardiness and the proportion of tardy jobs. Besides, several influencing factors for the performance of heuristics are analyzed and statistically evaluated.https://www.bvl.de/lore/all-volumes--issues/volume-10/issue-1/scheduling-dynamic-job-shop-manufacturing-cells-with-family-setup-times-a-simulation-studygroup schedulingjob shopcellular manufac-tureproduction logisticsheuristicsdispatching rulessimulation
collection DOAJ
language English
format Article
sources DOAJ
author Armin Klausnitzer
Janis S. Neufeld
Udo Buscher
spellingShingle Armin Klausnitzer
Janis S. Neufeld
Udo Buscher
Scheduling dynamic job shop manufacturing cells with family setup times: a simulation study
Logistics Research
group scheduling
job shop
cellular manufac-ture
production logistics
heuristics
dispatching rules
simulation
author_facet Armin Klausnitzer
Janis S. Neufeld
Udo Buscher
author_sort Armin Klausnitzer
title Scheduling dynamic job shop manufacturing cells with family setup times: a simulation study
title_short Scheduling dynamic job shop manufacturing cells with family setup times: a simulation study
title_full Scheduling dynamic job shop manufacturing cells with family setup times: a simulation study
title_fullStr Scheduling dynamic job shop manufacturing cells with family setup times: a simulation study
title_full_unstemmed Scheduling dynamic job shop manufacturing cells with family setup times: a simulation study
title_sort scheduling dynamic job shop manufacturing cells with family setup times: a simulation study
publisher BVL
series Logistics Research
issn 1865-035X
1865-0368
publishDate 2017-11-01
description Heuristics based on dispatching rules are still widely used in practice as methods for effective scheduling systems. Despite the successful development of various novel dispatching rules for traditional job shop scheduling environments, nearly none of these has been applied to cellular manufacturing within the last decade. In this paper, we close this gap by implementing novel dispatching rules into two-stage heuristics in order to solve group scheduling problems in a job shop manufacturing cell. By a comprehensive simulation study these heuristics are evaluated and compared to established effective dispatching rules. It is shown that in some scenarios new heuristics are capable of leading to superior results compared to previous heuristics with respect to mean flow time, mean tardiness and the proportion of tardy jobs. Besides, several influencing factors for the performance of heuristics are analyzed and statistically evaluated.
topic group scheduling
job shop
cellular manufac-ture
production logistics
heuristics
dispatching rules
simulation
url https://www.bvl.de/lore/all-volumes--issues/volume-10/issue-1/scheduling-dynamic-job-shop-manufacturing-cells-with-family-setup-times-a-simulation-study
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