Development of a Multi-Objective Particle Swarm Optimization Model for Closed-Loop Sustainable Supply Chain Design and Application in Solar Cell Industry

• Main Authors: Allen Wang, 王心恕
• Other Authors: Chen-Yang Cheng
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/45656q

碩士 === 東海大學 === 工業工程與經營資訊學系 === 101 === Solar energy industry is an exceptional industry which desperately relies on government support and subsidy. The demand is decreasing since the government support reduction, moreover, the dramatically increase China solar manufacturers have great impact on solar product price in recent years. Because the insufficient supply of silicon materials carries the issue of solar cell recycle, the solar manufacturer must design a sustainable closed-loop supply chain to recycle and reuse the retired solar cells to achieve 3E (Effective, Efficient, Environmental; 3E) objectives. This paper studies an integrated forward and reverse (closed-loop) supply chain network design problem with sustainable concerns in the solar energy industry. We are interested in the logistics flows, capacity expansion and technology investments of existing and potential facilities in the multi-stage closed loop supply chain. Therefore, a deterministic multi-objective mixed integer programming model capturing the tradeoffs between the total cost and the carbon dioxide (CO2) emission is developed to tackle the multi-stage closed-loop supply chain design problem from both economic and environmental perspectives. Due to the multi-objective nature and computational complexity, a multi-objective particle swarm optimization (MOPSO) with novel flow assignment algorithms is designed to search non-dominated /Pareto supply chain design solutions. Finally, a case study of crystalline solar energy industry is illustrated to verify the proposed multi-objective supply chain network design model and demonstrate the efficiency of the developed MOPSO algorithm in terms of computational time and solution quality.