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

スポンサーリンク

概要

• 論文の詳細を見る

• 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.

• 社団法人 化学工学会の論文
• 2004-07-01

著者

• CHEN Cheng-Liang

  Department of Chemical Engineering, National Taiwan University

• Chen Cheng-liang

  Department Of Chemical Engineering National Taiwan University

• LEE Wen-Cheng

  Department of Chemical Engineering, National Taiwan University

• Lee Wen-cheng

  Department Of Chemical Engineering National Taiwan University

関連論文

• Optimal Short-Term Scheduling of Multi-Purpose Batch Processes Considering Sequence-Dependent Constraints and Mixed Intermediate Storage Policies
• An Algorithm for Optimizing the Unsteady Chemical Processes by Simulated Annealing
• Superstructure-Based MINLP Formulation for Synthesis of Re-Circulating Cooling-Water Networks with Intermediate Mains
• An LMI Approach to H^∞ PI Controller Design
• Optimization of Multi-Echelon Supply Chain Networks with Uncertain Sales Prices
• Tuning of PI/PID Controllers Based on Specification on Maximum Closed-Loop Amplitude Ratio

スポンサーリンク