Affiliations: [a] School of Management, Jinan University, Guangdong, Guangzhou, China
| [b] School of Management, Shenyang University of Technology, Liaoning, Shenyang, China
| [c] School of Management, Liaoning Institute of Science and Technology, Liaoning, Benxi, China
Correspondence:
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Corresponding author. Yinyun Yu, School of Management, Jinan University, Guangdong, Guangzhou, 510632, China. E-mail: [email protected].
Abstract: In order to better meet customer needs and respond to market demands more quickly, mounting number of manufacturing companies have begun to bid farewell to the traditional unitary manufacturing model. The collaborative manufacturing model has become a widely adopted manufacturing model for manufacturing companies. Aiming at the problem of partner selection for collaborative manufacturing of complex products in a collaborative supply chain environment, this paper proposes a multi-objective decision-making model that comprehensively considers the maximization of the matching degree of manufacturing capacity and the profits of supply chain, and gives the modeling process and application steps in detail. The method first uses fuzzy theory to evaluate the manufacturing capabilities of candidate collaborative manufacturing partners. Secondly, Vector Space Model (VSM) is used to calculate the matching degree of manufacturing capacity and manufacturing demand. Then, the paper studied the profit of the supply chain under the “non-cooperative” mechanism and the “revenue sharing” mechanism. Furthermore, the decision-making model is established. Finally, a simulation was carried out by taking complex product manufacturing of Gree enterprise as an example. The research results show the feasibility and effectiveness of the method.
