Multi-period fourth-party logistics network design from the viability perspective: a collaborative hyper-heuristic embedded with double-layer Q-learning algorithm-Reference-Cited by-同舟云学术

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Multi-period fourth-party logistics network design from the viability perspective: a collaborative hyper-heuristic embedded with double-layer Q-learning algorithm

Published:2024-04-15 Issue: Volume: Page:1-31
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Zhang Yuxin¹,Huang Min¹,Gao Zheming¹,Jiang Songchen¹,Fang Shu-Cherng²,Wang Xingwei³

Affiliation:

1. College of Information Science and Engineering, Northeastern University, Shenyang, People’s Republic of China

2. Edward P. Fitts Department of Industrial and Systems Engineering, North Carolina State University, Raleigh, NC, USA

3. College of Computer Science and Engineering, Northeastern University, Shenyang, People’s Republic of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2024.2339530

Reference86 articles.

1. Efficient resilience portfolio design in the supply chain with consideration of preparedness and recovery investments

2. Costs of resilience and disruptions in supply chain network design models: A review and future research directions

3. A methodological framework for the design of efficient resilience in supply networks

4. Retail supply chain network design with concurrent resilience capabilities

5. Towards increasing synergistic effects of resilience strategies in supply chain network design

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