Scheduling on a proportionate flowshop to minimise total late work-Reference-Cited by-同舟云学术

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Scheduling on a proportionate flowshop to minimise total late work

Published:2018-04-03 Issue:2 Volume:57 Page:531-543
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Gerstl Enrique¹²,Mor Baruch³^ORCID,Mosheiov Gur¹

Affiliation:

1. School of Business Administration, The Hebrew University , Jerusalem, Israel

2. School of Industrial Engineering, Jerusalem College of Technology , Jerusalem, Israel

3. Department of Economics and Business Administration, Ariel University , Ariel, Israel

Funder

Israel Science Foundation

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2018.1456693

Reference21 articles.

1. Applied Computing

2. The two-machine flow-shop problem with weighted late work criterion and common due date

3. A comparison of solution procedures for two-machine flow shop scheduling with late work criterion

4. A note: Maximizing the weighted number of just-in-time jobs on a proportionate flowshop

Cited by 22 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Minimizing Total Weighted Late Work in a Proportionate Flow Shop with Job Rejection;Asia-Pacific Journal of Operational Research;2023-07-10

2. Revisit the scheduling problem with assignable or generalized due dates to minimize total weighted late work;International Journal of Production Research;2022-12-30

3. A new perspective on single-machine scheduling problems with late work related criteria;Annals of Operations Research;2022-12-02

4. Single-machine scheduling with total late work and job rejection;Computers & Industrial Engineering;2022-07

5. Minimizing the Late Work of the Flow Shop Scheduling Problem with a Deep Reinforcement Learning Based Approach;Applied Sciences;2022-02-24

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