Scheduling of recovery actions in the supply chain with resilience analysis considerations-Reference-Cited by-同舟云学术

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Scheduling of recovery actions in the supply chain with resilience analysis considerations

Published:2017-11-28 Issue:19 Volume:56 Page:6473-6490
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Ivanov Dmitry¹^ORCID,Dolgui Alexandre²,Sokolov Boris³⁴

Affiliation:

1. Department of Business Administration, Berlin School of Economics and Law , Berlin, Germany

2. IMT Atlantique, LS2N, CNRS La Chantrerie , Nantes, France

3. ITMO University , Saint Petersburg, Russia

4. Saint Petersburg Institute for Informatics and Automation of the RAS (SPIIRAS) , Saint Petersburg, Russia

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2017.1401747

Reference82 articles.

1. A bi-objective model for robust resource-constrained project scheduling

2. A bibliography of non-deterministic lot-sizing models

3. Firm's resilience to supply chain disruptions: Scale development and empirical examination

4. Maximization of solution flexibility for robust shop scheduling

5. Flexibility-based multi-objective approach for machines selection in reconfigurable manufacturing system (RMS) design under unavailability constraints

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3. Prediction-based decomposition optimisation for multi-portfolio supply chain resilience strategies under disruption risks;International Journal of Production Research;2024-06-19

4. La contribution des fournisseurs à la résilience de la chaîne logistique d'équipements de protection individuelle;Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l'Administration;2024-04-23

5. Resilience-oriented approach of dynamic production and maintenance scheduling optimisation considering operational uncertainty;International Journal of Production Research;2024-03-25

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