A branch-and-bound algorithm and four metaheuristics for minimizing total completion time for a two-stage assembly flow-shop scheduling problem with learning consideration-Reference-Cited by-同舟云学术

A branch-and-bound algorithm and four metaheuristics for minimizing total completion time for a two-stage assembly flow-shop scheduling problem with learning consideration

Published:2019-07-19 Issue:6 Volume:52 Page:1009-1036
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Wu Chin-Chia¹,Bai Danyu²,Azzouz Ameni³,Chung I.-Hong¹,Cheng Shuenn-Ren⁴,Jhwueng Dwueng-Chwuan¹,Lin Win-Chin¹,Said Lamjed Ben³

Affiliation:

1. Department of Statistics, Feng Chia University, Taichung, Taiwan

2. School of Maritime Economics & Management, Dalian Maritime University, Dalian, People’s Republic of China

3. SMART Lab, Université de Tunis Institut Supérieur de Gestion de Tunis, Tunis, Tunisia

4. Department of Business Administration, Cheng Shiu University, Kaohsiung, Taiwan

Funder

Ministry of Science Technology of Taiwan

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2019.1632303

Reference48 articles.

1. The two-stage assembly scheduling problem to minimize total completion time with setup times

2. Scheduling problems under learning effects: classification and cartography

3. Genetic Algorithms and Random Keys for Sequencing and Optimization

4. Single-machine scheduling with learning considerations

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