협력적 공진화 알고리즘과 퍼지 집합 이론의 병행 사용을 통한 친환경 공급사슬 네트워크의 설계 (Design of a Green Supply Chain Network using Both a Cooperative Coevolutionary Algorithm and Fuzzy Set Theory)

서지정보

· 발행기관 : 한국SCM학회
· 수록지 정보 : 한국SCM학회지 / 14권 / 1호 / 27 ~ 39페이지
· 저자명 : 한용호

초록

Recently green supply chain management has drawn the attention of researchers. Previous studies to design a generalized closed-loop supply chain(CLSC) network are very limited and do not consider the qualitative factors of the facilities to be open. In this paper, a new generalized supply chain network design problem is considered thatincludes facilities like suppliers, plants, distribution centers, dismantlers and customers. We propose a closed-loop supply chain model considering not only the quantitative costs but also the qualitative factors of facilities. The model has two objective functions. The first is to minimize the total cost, and the second is to maximize the total weight of all facilities to be open. Our approach is composed of two phases. In the first phase, a framework for facilities selection criteria is proposed based on fuzzy set theory. The output of this stage is the weight of each facility. In the second phase, a multi-objective mixed integer nonlinear programming model is formulated to choose the facilities to be open for each type and to optimize the amount of parts and products shipped between facilities in the CLSC network. A cooperative coevolutionary algorithm is then applied to get an approximate solution. A numerical example is presented and a sensitivity analysis is performed. The results show that both the proposed model and thesolution approach are validated.

영어초록

Recently green supply chain management has drawn the attention of researchers. Previous studies to design a generalized closed-loop supply chain(CLSC) network are very limited and do not consider the qualitative factors of the facilities to be open. In this paper, a new generalized supply chain network design problem is considered thatincludes facilities like suppliers, plants, distribution centers, dismantlers and customers. We propose a closed-loop supply chain model considering not only the quantitative costs but also the qualitative factors of facilities. The model has two objective functions. The first is to minimize the total cost, and the second is to maximize the total weight of all facilities to be open. Our approach is composed of two phases. In the first phase, a framework for facilities selection criteria is proposed based on fuzzy set theory. The output of this stage is the weight of each facility. In the second phase, a multi-objective mixed integer nonlinear programming model is formulated to choose the facilities to be open for each type and to optimize the amount of parts and products shipped between facilities in the CLSC network. A cooperative coevolutionary algorithm is then applied to get an approximate solution. A numerical example is presented and a sensitivity analysis is performed. The results show that both the proposed model and thesolution approach are validated.

참고자료

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