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This paper mainly explores the collaborative distribution to multiple customers at the terminal of agricultural-means supply chain (AMSC). Firstly, a cost optimization model for collaborative distribution constrained by time window was constructed based on fuzzy appointment time function. Next, the proposed model was solved by simulated annealing-genetic algorithm (SA-GA). Through a case study, the cost optimization model constrained by customer satisfaction was compared with that not constrained by customer satisfaction. The results show that the cost optimization model constrained by customer satisfaction made the customers more satisfied without greatly elevating the distribution cost. The research results shed new light on the collaborative distribution of time-sensitive agricultural-means (AM) products, and the management of the AMSC.

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Abstract:With the deregulation of the Chinese agricultural market, competition becomes increasingly fierce in agricultural circulation enterprises, leading to the reduction of profits. More and more enterprises have developed the concept of cooperative competition to seek strategic cooperation with upstream agricultural suppliers. In the cooperation process, performance evaluation on supplier collaboration is one of the crucial issues for current research. The work identified the key affecting factors on collaborative performance from product competitiveness, communication skills, operations capability and information sharing capabilities, and applied fuzzy analytical hierarchy process to evaluate collaborative performance of agricultural suppliers. The results revealed the importance of the supplier collaboration and proposed the way of improving collaborative performance.

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