A multi-objective mathematical model integrating environmental concerns for supplier selection and order allocation based on fuzzy QFD in beverages industry
•A novel Fuzzy QFD model is proposed for determining the weights of the suppliers.•A stochastic multi-objective programming model is developed for order allocation.•The application of the model is shown in beverages industry.•Environmental factors in the QFD method, and one of the objectives are con...
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| Published in: | Expert systems with applications Vol. 92; pp. 27 - 38 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
New York
Elsevier Ltd
01.02.2018
Elsevier BV |
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| ISSN: | 0957-4174, 1873-6793 |
| Online Access: | Get full text |
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| Abstract | •A novel Fuzzy QFD model is proposed for determining the weights of the suppliers.•A stochastic multi-objective programming model is developed for order allocation.•The application of the model is shown in beverages industry.•Environmental factors in the QFD method, and one of the objectives are considered.•The multi-objective model is solved by three solution approaches.
With the emerging trend of green supply chain management, supplier selection and order allocation based on green criteria have become very important in this competitive world. During the selection process of the eligible suppliers, qualitative as well as quantitative factors should be considered. In this paper, a novel mathematical model is developed to select a set of suppliers, and assign the order quantity. Due to the importance of environmental concerns, both qualitative and quantitative environmental criteria are taken into account in this research. The proposed model comprises two phases namely a two-stage QFD, and a stochastic multi-objective mathematical model. The stochastic (scenario) approach helps to manage the uncertainty in the order allocation process. Furthermore, trapezoidal fuzzy numbers are utilized to handle the vagueness in human thoughts. The application of the proposed model is shown in beverages industry. |
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| AbstractList | With the emerging trend of green supply chain management, supplier selection and order allocation based on green criteria have become very important in this competitive world. During the selection process of the eligible suppliers, qualitative as well as quantitative factors should be considered. In this paper, a novel mathematical model is developed to select a set of suppliers, and assign the order quantity. Due to the importance of environmental concerns, both qualitative and quantitative environmental criteria are taken into account in this research. The proposed model comprises two phases namely a two-stage QFD, and a stochastic multi-objective mathematical model. The stochastic (scenario) approach helps to manage the uncertainty in the order allocation process. Furthermore, trapezoidal fuzzy numbers are utilized to handle the vagueness in human thoughts. The application of the proposed model is shown in beverages industry. •A novel Fuzzy QFD model is proposed for determining the weights of the suppliers.•A stochastic multi-objective programming model is developed for order allocation.•The application of the model is shown in beverages industry.•Environmental factors in the QFD method, and one of the objectives are considered.•The multi-objective model is solved by three solution approaches. With the emerging trend of green supply chain management, supplier selection and order allocation based on green criteria have become very important in this competitive world. During the selection process of the eligible suppliers, qualitative as well as quantitative factors should be considered. In this paper, a novel mathematical model is developed to select a set of suppliers, and assign the order quantity. Due to the importance of environmental concerns, both qualitative and quantitative environmental criteria are taken into account in this research. The proposed model comprises two phases namely a two-stage QFD, and a stochastic multi-objective mathematical model. The stochastic (scenario) approach helps to manage the uncertainty in the order allocation process. Furthermore, trapezoidal fuzzy numbers are utilized to handle the vagueness in human thoughts. The application of the proposed model is shown in beverages industry. |
| Author | Babbar, Chirag Amin, Saman Hassanzadeh |
| Author_xml | – sequence: 1 givenname: Chirag surname: Babbar fullname: Babbar, Chirag email: chirag.babbar@ryerson.ca – sequence: 2 givenname: Saman Hassanzadeh surname: Amin fullname: Amin, Saman Hassanzadeh email: saman.amin@ryerson.ca, hassanzs@uwindsor.ca |
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| Keywords | Supplier selection Quality Function Deployment (QFD) Fuzzy sets theory Order allocation Multi-objective programming |
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| Snippet | •A novel Fuzzy QFD model is proposed for determining the weights of the suppliers.•A stochastic multi-objective programming model is developed for order... With the emerging trend of green supply chain management, supplier selection and order allocation based on green criteria have become very important in this... |
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| SubjectTerms | Beverage industry Beverages Component and supplier management Criteria Fuzzy sets theory Mathematical analysis Mathematical models Multi-objective programming Multiple objective analysis Order allocation Quality Function Deployment (QFD) Supplier selection Suppliers Supply chain management Supply chains |
| Title | A multi-objective mathematical model integrating environmental concerns for supplier selection and order allocation based on fuzzy QFD in beverages industry |
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