Sustainable supplier selection and order allocation: a fuzzy approach

This research develops a fuzzy, multi-objective, multi-product and multi-period mathematical model for sustainable supplier selection and order allocation in the automotive industry. The problem has been investigated in previous studies, but order allocation in fuzzy environments has attracted less...

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Published inEngineering optimization Vol. 52; no. 9; pp. 1494 - 1507
Main Authors Khoshfetrat, Sahar, Rahiminezhad Galankashi, Masoud, Almasi, Maryam
Format Journal Article
LanguageEnglish
Published Abingdon Taylor & Francis 01.09.2020
Taylor & Francis Ltd
Subjects
Analytic hierarchy process
Automobile industry
Component and supplier management
Constraint modelling
fuzzy logic
mathematical modelling
order allocation
Risk allocation
Risk levels
Sensitivity analysis
supplier selection
Suppliers
Sustainability
Online AccessGet full text
ISSN0305-215X
1026-745X
1029-0273
1029-0273
DOI10.1080/0305215X.2019.1663185

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Abstract This research develops a fuzzy, multi-objective, multi-product and multi-period mathematical model for sustainable supplier selection and order allocation in the automotive industry. The problem has been investigated in previous studies, but order allocation in fuzzy environments has attracted less attention. To fill this gap, this research integrates sustainable supplier selection and order allocation with inflation, risk and fuzzy uncertainties. The most important criteria of sustainable supplier selection are developed to select the suppliers. The supplier selection process is conducted using an analytical hierarchy process. The order allocation process determines the optimum purchasing quantity of items from each supplier in each period. To achieve this, six objective functions, total cost, economic score, environmental score, social score, inflation rate and risk level, and the related constraints are considered in the model. An approach to a solution and sensitivity analysis are also provided. The results identify the best suppliers and optimum order allocation.
AbstractList This research develops a fuzzy, multi-objective, multi-product and multi-period mathematical model for sustainable supplier selection and order allocation in the automotive industry. The problem has been investigated in previous studies, but order allocation in fuzzy environments has attracted less attention. To fill this gap, this research integrates sustainable supplier selection and order allocation with inflation, risk and fuzzy uncertainties. The most important criteria of sustainable supplier selection are developed to select the suppliers. The supplier selection process is conducted using an analytical hierarchy process. The order allocation process determines the optimum purchasing quantity of items from each supplier in each period. To achieve this, six objective functions, total cost, economic score, environmental score, social score, inflation rate and risk level, and the related constraints are considered in the model. An approach to a solution and sensitivity analysis are also provided. The results identify the best suppliers and optimum order allocation.
Author Khoshfetrat, Sahar
Rahiminezhad Galankashi, Masoud
Almasi, Maryam
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  fullname: Almasi, Maryam
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SubjectTerms Analytic hierarchy process
Automobile industry
Component and supplier management
Constraint modelling
fuzzy logic
mathematical modelling
order allocation
Risk allocation
Risk levels
Sensitivity analysis
supplier selection
Suppliers
Sustainability
Title Sustainable supplier selection and order allocation: a fuzzy approach
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