A goal programming-based fuzzy best–worst method for the viable supplier selection problem: a case study

Since the COVID-19 outbreak has led to drastic changes in the business environment, researchers attempt to introduce new approaches to improve the capability and flexibility of the industries. In this regard, recently, the concept of the viable supply chain, which tried to incorporate the leagile, r...

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Veröffentlicht in:	Soft computing (Berlin, Germany) Jg. 27; H. 6; S. 2827 - 2852
Hauptverfasser:	Rostami, Omid, Tavakoli, Mahdieh, Tajally, AmirReza, GhanavatiNejad, Mohssen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2023 Springer Nature B.V
Schlagworte:	Alternatives Artificial Intelligence Chain branching Competitive advantage Component and supplier management Computational Intelligence Control Coronaviruses COVID-19 Digitization Engineering Goal programming Indicators Mathematical Logic and Foundations Mechatronics Medical equipment Outbreaks Robotics Soft Computing in Decision Making and in Modeling in Economics Suppliers Supply chains Sustainability Fuzzy best–worst method Oxygen concentrator Viable supplier selection Goal programming
ISSN:	1432-7643, 1433-7479
Online-Zugang:	Volltext
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