模糊需求环境下供应链成员间的协调机制分析

为保证供应链成员获得利润,在模糊需求环境下,研究由单一供应商和零售商组成的两级供应链系统的协调机制问题。将市场需求视为模糊变量,建立不确定理论下基于可信性分布的分散决策、集中决策,以及收益共享契约和回购契约模型,并以三角模糊变量为例对模型进行优化,给出各种模型下的最优策略。最后,通过数值算例对模型中的参数进行求解,并对分析结论进行验证。研究结果表明,在模糊需求环境下,供应链系统中依然存在双重边际化效应,通过在协调机制中改变契约系数可以使供应链各成员的期望利润相比分散决策时有明显提高,并且当谈判双方达成纳什谈判解时,成员在收益共享契约下的期望利润等于其在回购契约下的期望利润。     

Supplier Evaluation Model Based on Fuzzy Measures and Choquet Integral

To identify interactions among evaluation criteria and describe their importance,a new identification method making use of a fuzzy measure is presented.The relative weight and interaction degree of every evaluation criteria pair are obtained by using the diamond pairwise comparison method.Based on comparison results,the maximum eigenvector method of analytic hierarchy process (AHP),the hierarchical clustering method,and the phi(s) transformation are utilized to generate values of the fuzzy measure for each ...     

Return Contract of Supply Chain with Fuzzy Continuous Demand

In a two-stage supply chain composed of one supplier and one retailer, the supply chain coordination mechanism in a fuzzy continuous demand environment is researched. A positive triangular fuzzy number is used to model the external market demand. Using the method of fuzzy cut sets theory, both fuzzy decentralized and centralized decision-making processes are analyzed, and another model of fuzzy return contract is proposed to help coordinate such supply chain. It is shown that in fuzzy environment there exists a unique solution of the retailers optimal order quantity, the double marginalization problem can be solved by providing different tactics for wholesale pricing and return pricing, and the fuzzy expected profit of each actor can be expected to improve in the return contract. Finally, a numerical example is given to illustrate the models and the solution-seeking process.