應用模糊理論與DPSO於缺損型供應鏈生產運輸規劃模式建置

Application of fuzzy theory and DPSO in production distribution mode of imperfect supply chain

林立豐(Li-Feng Lin)

指導教授 ： 王河星

國立臺北科技大學/管理學院/工業工程與管理研究所/碩士(2010年)

摘要

生產運輸規劃問題已為供應鏈管理重要的議題，其可有效提升企業的績效。在許多現實案例中，生產運輸過程中產生產品損失的數量通常是不確切的(impredise)，而這些不確切的資料卻是生產運輸規劃的關鍵。因此本研究將著重於生產損失率之最小化成本的供應鏈規劃問題。生產損失率以三角模糊數呈現。由於生產運送數量具整數特性且粒子群演算法已有效地運用於許多領域中之最佳化問題，因此本研究將利用離散型粒子群演算法(Discrete Particle Swarm Optimization , DPSO)進行問題求解，透過{3-5}規模的供應鏈架構案例來說明本研究模式與方法之應用，並且選擇出較合適的供應鏈組合及最佳之生產數量配置。

關鍵字

缺損型供應鏈 ； 模糊理論 ； 離散型粒子群演算法

並列摘要

Production of transportation planning problem has been an important issue in supply chain management, which can improve business performance effectively. In many practical cases, the number of production losses during production of transportation is usually impredise. This inaccurate information is the key to the production of transportation planning. Therefore, this study will focus on minimizing cost of production loss rate in supply chain planning problem. Production loss rate is presented by triangular fuzzy numbers, as the number of production and transportation characteristics of a whole number and particle swarm algorithm has been effectively applied in many areas of optimization problems. Therefore, this study will be based on the discrete particle swarm algorithm (Discrete Particle Swarm Optimization, DPSO) for problem solving. By the size of {3-5} supply chain network to illustrate the model and the method of application, select a more appropriate mix of supply chain configuration and the number of the best production.

並列關鍵字

Imperfect supply chain ； Fuzzy theory ； Discrete Particle Swarm Optimization

參考文獻

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