Identical parallel machine scheduling with nonlinear deterioration and multiple rate modifying activities

This study focuses on identical parallel machine scheduling of jobs with deteriorating processing times and rate-modifying activities. We consider non linearly increasing processing times of jobs based on their position assignment. Rate modifying activities are also considered to recover the increas...

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Vydáno v:An international journal of optimization and control Ročník 7; číslo 2; s. 167 - 176
Hlavní autor: Öztürkoğlu, Ömer
Médium: Journal Article
Jazyk:angličtina
Vydáno: Balikesir Balikesir University, Faculty of Engineering Department of Industrial Engineering 15.07.2017
Témata:
Algorithms
Ant colony optimization
Computer simulation
Deterioration
Job shops
Production scheduling
Scheduling
Simulated annealing
ISSN:2146-0957, 2146-5703
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Abstract This study focuses on identical parallel machine scheduling of jobs with deteriorating processing times and rate-modifying activities. We consider non linearly increasing processing times of jobs based on their position assignment. Rate modifying activities are also considered to recover the increase in processing times of jobs due to deterioration. We also propose heuristics algorithms that rely on ant colony optimization and simulated annealing algorithms to solve the problem with multiple RMAs in a reasonable amount of time. Finally, we show that ant colony optimization algorithm generates close optimal solutions and superior results than simulated annealing algorithm.
AbstractList This study focuses on identical parallel machine scheduling of jobs with deteriorating processing times and rate-modifying activities. We consider non linearly increasing processing times of jobs based on their position assignment. Rate modifying activities are also considered to recover the increase in processing times of jobs due to deterioration. We also propose heuristics algorithms that rely on ant colony optimization and simulated annealing algorithms to solve the problem with multiple RMAs in a reasonable amount of time. Finally, we show that ant colony optimization algorithm generates close optimal solutions and superior results than simulated annealing algorithm.
This study focuses on identical parallel machine scheduling of jobs with de- teriorating processing times and rate-modifying activities. We consider non- linearly increasing processing times of jobs based on their position assignment. Rate modifying activities (RMAs) are also considered to recover the increase in processing times of jobs due to deterioration. We also propose heuristics algorithms that rely on ant colony optimization and simulated annealing al- gorithms to solve the problem with multiple RMAs in a reasonable amount of time. Finally, we show that ant colony optimization algorithm generates close optimal solutions and superior results than simulated annealing algorithm.
Author Öztürkoğlu, Ömer
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CitedBy_id crossref_primary_10_1016_j_omega_2024_103115
crossref_primary_10_1007_s10898_024_01411_2
crossref_primary_10_33889_IJMEMS_2021_6_3_055
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Copyright Copyright Balikesir University, Faculty of Engineering Department of Industrial Engineering 2017
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Snippet This study focuses on identical parallel machine scheduling of jobs with deteriorating processing times and rate-modifying activities. We consider non linearly...
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StartPage 167
SubjectTerms Algorithms
Ant colony optimization
Computer simulation
Deterioration
Job shops
Production scheduling
Scheduling
Simulated annealing
Title Identical parallel machine scheduling with nonlinear deterioration and multiple rate modifying activities
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