Optimal PlanningforSingle-Part Flow-LineTransformation of Reconfigurable Manufacturing System Using NSGA-II and TOPSIS

• Main Authors: LIN,YI-RU, 林易儒
• Other Authors: LU,MING-SHAN
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/78658022787627123768

碩士 === 國立雲林科技大學 === 工業工程與管理系 === 104 === Because of its possessing the capability of low cost, superior quality and rapid response. reconfigurable manufacturing system(RMS) canquickly response to market variationsand meet the economic benefit under the freguent changes in demand. In this research, a producing line for product A (Line A)transferring to a product linefor product B (Line B) is considered. Assumes that the operation stages, machine configuration, number of operations and link between stagesare known for line A, andthe operation stages are known for line B.The cost and the responsiveness are assessment focuses for system reconfiguration. The cost of adding, removing and adjusting machines for production line transformation is evaluated and the system configuration with lowest cost is considered. In addition, line B isrequired to has the ability ofresponsivenessfor the future, so the operationalability, reconfigurability, scalability and reliability are used as evaluation indexes for line B. The above five indexes are used for the evaluation of RMS. Finally, a non-dominated sorting genetic algorithm II (NSGA-II)is applied to find out the best Plato frontiers for solving multi-objective problem. Plato frontiers confains a solution set, sotechnique for order preference by similarity to ideal solution(TOPSIS) combiningentropy weight is used to reduce the problem as a single objective problem. The solution set is ranked and the bettersystem configuration is found for RMS.