A Markovian-based fuzzy decision-making approach for the customer-based sustainable-resilient supplier selection problem

The supplier selection problem is one of the most important issues in supply chain management. So, many papers have investigated the mentioned problem. However, the related literature shows that researchers had less attention to the sustainability and resilience aspects based on the customer prefere...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Soft computing (Berlin, Germany) Jg. 27; H. 20; S. 15153 - 15184
Hauptverfasser: Tavakoli, Mahdieh, Tajally, Amirreza, Ghanavati-Nejad, Mohssen, Jolai, Fariborz
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Germany Springer Nature B.V 01.10.2023
Springer Berlin Heidelberg
Schlagworte:
Availability
Component and supplier management
Criteria
Customers
Decision making
Mathematical analysis
Matrices (mathematics)
Pandemics
Quality function deployment
Resilience
Soft Computing in Decision Making and in Modeling in Economics
Suppliers
Supply chain management
Supply chains
Customer preferences
Supplier selection
FBWM
Markovian-based decision-making
Sustainability
Resilience
ISSN:1432-7643, 1433-7479
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:The supplier selection problem is one of the most important issues in supply chain management. So, many papers have investigated the mentioned problem. However, the related literature shows that researchers had less attention to the sustainability and resilience aspects based on the customer preferences in supplier selection problem. To cover this gap, this research tries to investigate the customer-based sustainable-resilient supplier selection problem. In this way, a Markovian-based fuzzy decision-making method is proposed. At the outset, the customer preferences are evaluated using a combination of the quality function deployment and the Markov transition matrix. Then, by combining the transition matrix and the fuzzy best-worst method, the weights of the indicators are calculated. Finally, the decision matrix is formed and the performance of suppliers is measured based on the multiplication of the decision matrix and vector of sub-criteria weights. Regarding the recent pandemic disruption (COVID-19), the importance of online marketplaces is highlighted more than the past. Hence, this study considers an online marketplace as a case study. Results show that in a pandemic situation, the preferences of customers when they cannot go shopping normally will change after a while. Based on the Markov steady state, these changes are from the priority of price, availability, and performance in initial time to serviceability, reliability, and availability in the future. Finally, based on the FBWM results, from the customer point of view, the top five sub-criteria for sustainable-resilient supplier selection include cost, quality, delivery, responsiveness, and service. So, based on these priorities, the case study potential suppliers are prioritized, respectively.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:1432-7643
1433-7479
DOI:10.1007/s00500-023-08380-w