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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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 |
work_keys_str_mv |
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1725604713519382528 |