The rapid change of the product life cycle is making the parameters of the supply chain models more and more uncertain. Therefore, we consider the coordination mechanisms between one manufacturer and one retailer in a fuzzy decision marking environment, where the parameters of the models can be forecasted and expressed as the triangular fuzzy variables. The centralized decision-making system, two types of supply chain contracts, namely, the revenue sharing contract and the return contract are proposed. To obtain their optimal policies, the fuzzy set theory is adopted to solve these fuzzy models. Finally, three numerical examples are provided to analyze the impacts of the fuzziness of the market demand, retail price and salvage value of the product on the optimal solutions in two contracts. It shows that in order to obtain more fuzzy expected profits the retailer and the manufacturer should seek as low fuzziness of demand, high fuzziness of the retail price and the salvage value as possible in both contracts.
In recent years, supply chain coordination mechanisms such as the revenue sharing contract and return contract have become the hot topics faced by both some scholars and practitioners. Coordination among the supply chain members is an important strategy in supply chain. Contracts are considered as effective instruments to bring the manufacturer and the retailer in a decentralized supply chain to operate in coordination. The contract can overcome the problem of double marginalization exited in supply chain system. The retailer can be induced to order right quantity, and maximize the total profit of the supply chain system through the negotiation among the members with contracts. In such supply chain contracts, the risks caused by the uncertain demand are shifted from the retailers to the manufacturers. In return, the order quantities of the retailers in such supply chain contracts are equal to those in the centralized decision making system so as to maximize the sum of profits for the manufacturers and retailers.
Publisher : Springer
By : Shengju Sang
File Information: English Language/ 25 Page / size: 1,340 KB
سال : 2016
ناشر : Springer
کاری از : Shengju Sang
اطلاعات فایل : زبان انگلیسی / 25 صفحه / حجم : KB 1,340
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