Batching and scheduling in a continuous-discrete hybrid flowshop: Lagrangian relaxation-based heuristic algorithms-Reference-Cited by-同舟云学术

Batching and scheduling in a continuous-discrete hybrid flowshop: Lagrangian relaxation-based heuristic algorithms

Published:2022-09-15 Issue: Volume: Page:1-22
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Li Zhaohui¹,Wan Guohua¹^ORCID

Affiliation:

1. Data-Driven Management Decision Making Lab, Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai, People's Republic of China

Funder

National Natural Science Foundation 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/10.1080/00207543.2022.2119294

Reference45 articles.

1. New Problem Representation for the Simultaneous Resolution of Batching and Scheduling in Multiproduct Batch Plants

2. Column generation for minimizing total completion time in a parallel-batching environment

3. Hybrid flow shop scheduling with parallel batching

4. Scheduling a batch processing machine with non-identical job sizes

5. Convergence of the Surrogate Lagrangian Relaxation Method

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