The problem of a fair profit distribution for a multienterprise supply chain network is investigated
in this paper. To implement this concept, we construct a multiproduct, multistage, and
multiperiod production and distribution planning model to achieve multiple objectives such as
maximizing the profit of each participant enterprise, the customer service level, and the safe
inventory level and ensuring a fair profit distribution. A two-phase fuzzy decision-making method
is proposed to attain a compromise solution among all participant companies of the supply chain.
One numerical example is supplied, demonstrating that the proposed two-phase decision-making
method can provide an improved compensatory solution for multiobjective optimization problems
in a multienterprise supply chain network.
A multi-product, multi-stage, and multi-period production and distribution planning model is proposed in this paper to tackle the compromised sales prices and the total profit problem of a multi-echelon supply chain network with uncertain sales prices. This model is constructed as a mixed-integer nonlinear programming problem to achieve a maximum total profit of the whole network and to guarantee the maximum satisfactory levels of sellers' and buyers' preference on sales prices. For the purpose that a compensatory solution among all participants of the supply chain can be achieved, a fuzzy decisionmaking method is proposed and, by means of applying it to a numerical example, proved effective in providing a compromised solution in a multi-echelon supply chain network.
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