Cloud manufacturing service composition and optimal selection with sustainability considerations: a multi-objective integer bi-level multi-follower programming approach-Reference-Cited by-同舟云学术

Cloud manufacturing service composition and optimal selection with sustainability considerations: a multi-objective integer bi-level multi-follower programming approach

Published:2019-09-16 Issue:19 Volume:58 Page:6024-6042
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Wu Yanxia¹,Jia Guozhu¹,Cheng Yang²³

Affiliation:

1. School of Economics & Management, Beihang University, Beijing, People’s Republic of China

2. Department of Materials and Production, Center for Industrial Production, Aalborg University, Aalborg, Denmark

3. School of Business Administration, Jiangxi University of Finance and Economics, Nanchang, 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/10.1080/00207543.2019.1665203

Reference56 articles.

1. Performance computation methods for composition of tasks with multiple patterns in cloud manufacturing

2. A multi-follower bilevel stochastic programming approach for energy management of combined heat and power micro-grids

3. Key performance indicators for sustainable manufacturing evaluation in automotive companies

4. Carbon Footprint and the Management of Supply Chains: Insights From Simple Models

Cited by 34 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Priority-based two-phase method for hierarchical service composition allocation in cloud manufacturing;Computers & Industrial Engineering;2024-10

2. A QoS and sustainability-driven two-stage service composition method in cloud manufacturing: combining clustering and bi-objective optimization;Journal of Global Optimization;2024-09-12

3. An adaptive robust service composition and optimal selection method for cloud manufacturing based on the enhanced multi-objective artificial hummingbird algorithm;Expert Systems with Applications;2024-06

4. Sustainability-aware collaborative service composition and recommendation based on multi-attribute correlations;Expert Systems with Applications;2024-05

5. Business-Process-Driven Service Composition in a Hybrid Cloud Environment;Information Systems Frontiers;2023-10-21