A target-based distributionally robust model for the parallel machine scheduling problem-Reference-Cited by-同舟云学术

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A target-based distributionally robust model for the parallel machine scheduling problem

Published:2022-03-24 Issue:22 Volume:60 Page:6728-6749
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Li Yuanbo¹,Kuo Yong-Hong²,Li Runjie¹,Shen Houcai¹,Zhang Lianmin¹³

Affiliation:

1. School of Management and Engineering, Nanjing University, Nanjing, People's Republic of China

2. Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Hong Kong SAR, People's Republic of China

3. Shenzhen Research Institute of Big Data, Shenzhen, People's Republic of China

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2022.2053602

Reference28 articles.

1. Robust scheduling of parallel machines considering total flow time

2. Scheduling independent tasks to reduce mean finishing time

3. An exact extended formulation for the unrelated parallel machine total weighted completion time problem

4. Distributionally robust scheduling on parallel machines under moment uncertainty

5. Distributionally robust single machine scheduling with risk aversion

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1. A distributionally robust approach for the parallel machine scheduling problem with optional machines and job tardiness;Computers & Operations Research;2024-10

2. Target-oriented robust satisficing models for the single machine scheduling problems with release time;Computers & Operations Research;2024-07

3. Optimizing bike rebalancing strategies in free-floating bike-sharing systems: An enhanced distributionally robust approach;Transportation Research Part E: Logistics and Transportation Review;2024-04

4. Hedging against demand ambiguity in new product development: a two-stage distributionally robust approach;Annals of Operations Research;2023-10-24

5. Wasserstein distance‐based distributionally robust parallel‐machine scheduling;Omega;2023-10

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