Production scheduling optimization for parallel machines subject to physical distancing due to COVID-19 pandemic-Reference-Cited by-同舟云学术

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Production scheduling optimization for parallel machines subject to physical distancing due to COVID-19 pandemic

Published:2022-04-27 Issue:1-2 Volume:15 Page:503-527
ISSN:1936-9735
Container-title:Operations Management Research
language:en
Short-container-title:Oper Manag Res

Author:

Bazargan-Lari Mohammad Reza^ORCID,Taghipour Sharareh^ORCID,Zaretalab Arash^ORCID,Sharifi Mani^ORCID

Funder

natural sciences and engineering research council's

canada research chairs program

Publisher

Springer Science and Business Media LLC

Subject

Management of Technology and Innovation,Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://link.springer.com/content/pdf/10.1007/s12063-021-00233-9.pdf

Reference76 articles.

1. Afzalirad M, Rezaeian J (2016) Resource-constrained unrelated parallel machine scheduling problem with sequence dependent setup times, precedence constraints and machine eligibility restrictions. Comput Ind Eng 98:40–52

2. Afzalirad M, Rezaeian J (2017) A realistic variant of bi-objective unrelated parallel machine scheduling problem: NSGA-II and MOACO approaches. Appl Soft Comput 50:109–123

3. Afzalirad M, Shafipour M (2018) Design of an efficient genetic algorithm for resource-constrained unrelated parallel machine scheduling problem with machine eligibility restrictions. J Intell Manuf 29(2):423–437

4. Agung M, Watanabe Y, Weber H, Egawa R, Takizawa H (2021) Preemptive parallel job scheduling for heterogeneous systems supporting urgent computing. IEEE Access

5. Ahmadi E, Zandieh M, Farrokh M, Emami SM (2016) A multi-objective optimization approach for flexible job-shop scheduling problem under random machine breakdown by evolutionary algorithms. Comput Oper Res 73:56–66

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