Modelling and improvement of supply chain with imprecise transportation delays and resilience factors-Reference-Cited by-同舟云学术

Modelling and improvement of supply chain with imprecise transportation delays and resilience factors

Published:2013-11-09 Issue:4 Volume:17 Page:269-282
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:

Azadeh A.,Atrchin N.,Salehi V.,Shojaei H.

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

http://www.tandfonline.com/doi/pdf/10.1080/13675567.2013.846308

Reference38 articles.

1. An integrated PCA DEA framework for assessment and ranking of manufacturing systems based on equipment performance

2. A deterministic approach for performance assessment and optimization of power distribution units in Iran

3. An integrated fuzzy simulation-fuzzy data envelopment analysis algorithm for job-shop layout optimization: The case of injection process with ambiguous data

4. A supply chain disturbances classification

5. Supply chain redesign for resilience using simulation

Cited by 60 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. Assessment of robustness attributes in electronic products supply chains;Cleaner Logistics and Supply Chain;2024-09

2. Disentangling the resiliency of international transportation systems under uncertainty by a novel multi-layer spherical fuzzy decision-making framework: Evidence from an emerging economy;Transportation Research Part A: Policy and Practice;2024-08

3. Resilience of Sustainable Development in Pandemic: An Analysis in the Context of Circular Economy;International Trade, Economic Crisis and the Sustainable Development Goals;2024-05-17

4. Management antecedents of supply chain resilience: An integrating perspective;Journal of Contingencies and Crisis Management;2024-02-25

5. Artificial Intelligence-Driven Talent Management System: Exploring the Risks and Options Sustainable Success;2024 4th International Conference on Innovative Practices in Technology and Management (ICIPTM);2024-02-21