Green scheduling of packaging in the global logistics distribution centre with a dominant job and deterioration effects-Reference-Cited by-同舟云学术

Green scheduling of packaging in the global logistics distribution centre with a dominant job and deterioration effects

Published:2022-10-18 Issue: Volume: Page:1-23
ISSN:1367-5567
Container-title:International Journal of Logistics Research and Applications
language:en
Short-container-title:International Journal of Logistics Research and Applications

Author:

Zhao Ting¹,Lu Shaojun¹²,Kong Min³,Cheng Hao¹²,Liu Xinbao¹²

Affiliation:

1. School of Management, Hefei University of Technology, Hefei, People’s Republic of China

2. Key Laboratory of Process Optimization and Intelligent Decision-making of the Ministry of Education, Hefei, People’s Republic of China

3. School of Economics and Management, Anhui Normal University, Wuhu, People’s Republic of China

Funder

National Key Research and Development Program of China

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Innovative Research Groups of the National Natural Science Foundation of China

Anhui Province Natural Science Foundation

Base of Introducing Talents of Discipline to Universities for Optimization and Decision-making in the Manufacturing Process of Complex Product

Hefei University

Ministry of Education

Publisher

Informa UK Limited

Subject

Management Science and Operations Research,Management Information Systems,Business and International Management,Strategy and Management,Management of Technology and Innovation

Link

https://www.tandfonline.com/doi/pdf/10.1080/13675567.2022.2136365

Reference57 articles.

1. A genetic algorithm for scheduling open shops with sequence-dependent setup times

2. Minimizing maximum lateness under linear deterioration

3. Scheduling Deteriorating Jobs on a Single Processor

4. A variable neighborhood search heuristic algorithm for the double vehicle routing problem with multiple stacks

5. Energy-efficient bi-objective single-machine scheduling with power-down mechanism