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

Authors

  • Ömer Öztürkoğlu Yaşar University

DOI:

https://doi.org/10.11121/ijocta.01.2017.00328

Keywords:

Parallel machine, scheduling, deterioration, rate-modifying activity

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.

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Author Biography

Ömer Öztürkoğlu, Yaşar University

Department of Business Administration

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Published

2017-07-15
CITATION
DOI: 10.11121/ijocta.01.2017.00328
Published: 2017-07-15

How to Cite

Öztürkoğlu, Ömer. (2017). Identical parallel machine scheduling with nonlinear deterioration and multiple rate modifying activities. An International Journal of Optimization and Control: Theories & Applications (IJOCTA), 7(2), 167–176. https://doi.org/10.11121/ijocta.01.2017.00328

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Research Articles