A two-stage iterated greedy algorithm and a multi-objective constructive heuristic for the mixed no-idle flowshop scheduling problem to minimize makespan subject to total completion time

Advanced production systems usually are complex in nature and aim to deal with multiple performance measures simultaneously. Therefore, in most cases, the consideration of a single objective function is not sufficient to properly solve scheduling problems. This paper investigates the multi-...

Full description

Bibliographic Details
Main Authors: Marcelo Seido Nagano, Fernando Luis Rossi
Format: Article
Language:English
Published: Growing Science 2024-01-01
Series:Journal of Project Management
Online Access:http://www.growingscience.com/jpm/Vol9/jpm_2023_12.pdf
_version_ 1797389186075983872
author Marcelo Seido Nagano
Fernando Luis Rossi
author_facet Marcelo Seido Nagano
Fernando Luis Rossi
author_sort Marcelo Seido Nagano
collection DOAJ
description Advanced production systems usually are complex in nature and aim to deal with multiple performance measures simultaneously. Therefore, in most cases, the consideration of a single objective function is not sufficient to properly solve scheduling problems. This paper investigates the multi-objective mixed no-idle flowshop scheduling problem. The addressed optimization case is minimizing makespan subject to an upper bound on total completion time. To solve this problem, we proposed a two-stage iterated greedy and a multi-objective constructive heuristic. Moreover, we developed a new multi-objective improvement procedure focusing on increasing the performance of the developed methods in solving the addressed problem. and a new initialization procedure. We performed several computational tests in order to compare our developed methods with the main algorithms from similar scheduling problems in the literature. It was revealed that the proposed approaches give the best results compared with other state-of-the-art performing methods.
first_indexed 2024-03-08T22:52:12Z
format Article
id doaj.art-0d9de65025144832a71388e10dd8fb11
institution Directory Open Access Journal
issn 2371-8366
2371-8374
language English
last_indexed 2024-03-08T22:52:12Z
publishDate 2024-01-01
publisher Growing Science
record_format Article
series Journal of Project Management
spelling doaj.art-0d9de65025144832a71388e10dd8fb112023-12-16T08:35:09ZengGrowing ScienceJournal of Project Management2371-83662371-83742024-01-0191456010.5267/j.jpm.2023.9.001A two-stage iterated greedy algorithm and a multi-objective constructive heuristic for the mixed no-idle flowshop scheduling problem to minimize makespan subject to total completion timeMarcelo Seido NaganoFernando Luis Rossi Advanced production systems usually are complex in nature and aim to deal with multiple performance measures simultaneously. Therefore, in most cases, the consideration of a single objective function is not sufficient to properly solve scheduling problems. This paper investigates the multi-objective mixed no-idle flowshop scheduling problem. The addressed optimization case is minimizing makespan subject to an upper bound on total completion time. To solve this problem, we proposed a two-stage iterated greedy and a multi-objective constructive heuristic. Moreover, we developed a new multi-objective improvement procedure focusing on increasing the performance of the developed methods in solving the addressed problem. and a new initialization procedure. We performed several computational tests in order to compare our developed methods with the main algorithms from similar scheduling problems in the literature. It was revealed that the proposed approaches give the best results compared with other state-of-the-art performing methods.http://www.growingscience.com/jpm/Vol9/jpm_2023_12.pdf
spellingShingle Marcelo Seido Nagano
Fernando Luis Rossi
A two-stage iterated greedy algorithm and a multi-objective constructive heuristic for the mixed no-idle flowshop scheduling problem to minimize makespan subject to total completion time
Journal of Project Management
title A two-stage iterated greedy algorithm and a multi-objective constructive heuristic for the mixed no-idle flowshop scheduling problem to minimize makespan subject to total completion time
title_full A two-stage iterated greedy algorithm and a multi-objective constructive heuristic for the mixed no-idle flowshop scheduling problem to minimize makespan subject to total completion time
title_fullStr A two-stage iterated greedy algorithm and a multi-objective constructive heuristic for the mixed no-idle flowshop scheduling problem to minimize makespan subject to total completion time
title_full_unstemmed A two-stage iterated greedy algorithm and a multi-objective constructive heuristic for the mixed no-idle flowshop scheduling problem to minimize makespan subject to total completion time
title_short A two-stage iterated greedy algorithm and a multi-objective constructive heuristic for the mixed no-idle flowshop scheduling problem to minimize makespan subject to total completion time
title_sort two stage iterated greedy algorithm and a multi objective constructive heuristic for the mixed no idle flowshop scheduling problem to minimize makespan subject to total completion time
url http://www.growingscience.com/jpm/Vol9/jpm_2023_12.pdf
work_keys_str_mv AT marceloseidonagano atwostageiteratedgreedyalgorithmandamultiobjectiveconstructiveheuristicforthemixednoidleflowshopschedulingproblemtominimizemakespansubjecttototalcompletiontime
AT fernandoluisrossi atwostageiteratedgreedyalgorithmandamultiobjectiveconstructiveheuristicforthemixednoidleflowshopschedulingproblemtominimizemakespansubjecttototalcompletiontime
AT marceloseidonagano twostageiteratedgreedyalgorithmandamultiobjectiveconstructiveheuristicforthemixednoidleflowshopschedulingproblemtominimizemakespansubjecttototalcompletiontime
AT fernandoluisrossi twostageiteratedgreedyalgorithmandamultiobjectiveconstructiveheuristicforthemixednoidleflowshopschedulingproblemtominimizemakespansubjecttototalcompletiontime