A Fuzzy Multi-objective Linear Programming Model Based on Interval-valued Intuitionistic Fuzzy Sets for Supplier Selection

Nowadays, companies are paying more attention to supply chain management in order to achieve success in the competitions and keep the customers satisfied. Therefore, supplier selection is of prime importance in a supply chain which has a key role in determining the success or failure of a business....

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of fuzzy systems Jg. 18; H. 5; S. 864 - 874
Hauptverfasser: Afzali, Afsane, Rafsanjani, Marjan Kuchaki, Saeid, Arsham Borumand
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2016
Springer Nature B.V
Schlagworte:
Artificial Intelligence
Component and supplier management
Computational Intelligence
Engineering
Fuzzy sets
Linear programming
Management Science
Methods
Multiple criteria decision making
Multiple objective analysis
Objectives
Operations Research
Problem solving
Suppliers
Supply chain management
Supply chains
Group decision making
Supplier selection
Fuzzy multi-objective linear programming solution
Interval-valued intuitionistic fuzzy numbers
TOPSIS
ISSN:1562-2479, 2199-3211
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Nowadays, companies are paying more attention to supply chain management in order to achieve success in the competitions and keep the customers satisfied. Therefore, supplier selection is of prime importance in a supply chain which has a key role in determining the success or failure of a business. In this paper, fuzzy multi-objective linear programming model with group decision making is presented. Firstly, linguistic variables in the form of interval-valued intuitionistic fuzzy numbers and group decisions are defined. By using TOPSIS method, the weight of each criterion (objective) and weight of each constraint are determined. Then, with defining membership functions of the objectives and membership functions of suppliers’ constraints and using the achieved weights from the previous phase, the supplier selection problem will be converted to fuzzy multi-objective linear programming model which determines the appropriate ordering quantities for each supplier. Finally, two numerical examples for supplier selection are used to demonstrate the practicality and effectiveness of the proposed approach.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1562-2479
2199-3211
DOI:10.1007/s40815-016-0201-1