Optimal Results and Numerical Simulations for Flow Shop Scheduling Problems

This paper considers the m-machine flow shop problem with two objectives: makespan with release dates and total quadratic completion time, respectively. For Fm|rj|Cmax, we prove the asymptotic optimality for any dense scheduling when the problem scale is large enough. For Fm‖ΣCj2, improvement strate...

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Main Authors: Tao Ren, Yuandong Diao, Xiaochuan Luo
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2012/395947
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author Tao Ren
Yuandong Diao
Xiaochuan Luo
author_facet Tao Ren
Yuandong Diao
Xiaochuan Luo
author_sort Tao Ren
collection DOAJ
description This paper considers the m-machine flow shop problem with two objectives: makespan with release dates and total quadratic completion time, respectively. For Fm|rj|Cmax, we prove the asymptotic optimality for any dense scheduling when the problem scale is large enough. For Fm‖ΣCj2, improvement strategy with local search is presented to promote the performance of the classical SPT heuristic. At the end of the paper, simulations show the effectiveness of the improvement strategy.
format Article
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institution Kabale University
issn 1110-757X
1687-0042
language English
publishDate 2012-01-01
publisher Wiley
record_format Article
series Journal of Applied Mathematics
spelling doaj-art-71d3f479aecc46839c4cb94ef6eb6f2b2025-02-03T05:46:08ZengWileyJournal of Applied Mathematics1110-757X1687-00422012-01-01201210.1155/2012/395947395947Optimal Results and Numerical Simulations for Flow Shop Scheduling ProblemsTao Ren0Yuandong Diao1Xiaochuan Luo2Software College, Northeastern University, Shenyang 110004, ChinaPersonnel Department, Shenyang University of Chemical Technology, Shenyang 110142, ChinaState Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110004, ChinaThis paper considers the m-machine flow shop problem with two objectives: makespan with release dates and total quadratic completion time, respectively. For Fm|rj|Cmax, we prove the asymptotic optimality for any dense scheduling when the problem scale is large enough. For Fm‖ΣCj2, improvement strategy with local search is presented to promote the performance of the classical SPT heuristic. At the end of the paper, simulations show the effectiveness of the improvement strategy.http://dx.doi.org/10.1155/2012/395947
spellingShingle Tao Ren
Yuandong Diao
Xiaochuan Luo
Optimal Results and Numerical Simulations for Flow Shop Scheduling Problems
Journal of Applied Mathematics
title Optimal Results and Numerical Simulations for Flow Shop Scheduling Problems
title_full Optimal Results and Numerical Simulations for Flow Shop Scheduling Problems
title_fullStr Optimal Results and Numerical Simulations for Flow Shop Scheduling Problems
title_full_unstemmed Optimal Results and Numerical Simulations for Flow Shop Scheduling Problems
title_short Optimal Results and Numerical Simulations for Flow Shop Scheduling Problems
title_sort optimal results and numerical simulations for flow shop scheduling problems
url http://dx.doi.org/10.1155/2012/395947
work_keys_str_mv AT taoren optimalresultsandnumericalsimulationsforflowshopschedulingproblems
AT yuandongdiao optimalresultsandnumericalsimulationsforflowshopschedulingproblems
AT xiaochuanluo optimalresultsandnumericalsimulationsforflowshopschedulingproblems