Optimization of Multi-Echelon Supply Chain Networks with Uncertain Sales Prices

JOURNAL OF CHEMICAL ENGINEERING OF JAPAN

Cheng-Liang Chen¹  Wen-Cheng Lee¹ 

[1] Department of Chemical Engineering, National Taiwan University

关键词: Process Systems Engineering;    Supply Chain Management;    Uncertainty;    Mixed-Integer Nonlinear Programming;    Fuzzy Optimization;   

DOI  :  10.1252/jcej.37.822

来源: Maruzen Company Ltd

【 摘 要 】

References(23)Cited-By(6)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.

【 授权许可】

Unknown