|Title:||Optimization of multi-echelon supply chain networks with uncertain sales prices||Authors:||Chen C.-L.
|Keywords:||Fuzzy optimization;Mixed-integer nonlinear programming;Process systems engineering;Supply chain management;Uncertainty||Issue Date:||2004||Journal Volume:||37||Journal Issue:||7||Start page/Pages:||822-834||Source:||Journal of Chemical Engineering of Japan||Abstract:||
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 decision-making 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. ? 2004 The Society of Chemical Engineers, Japan.
|Appears in Collections:||化學工程學系|
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