國立臺灣大學工業工程學研究所Chen, ArgonArgonChenChiang, DavidDavidChiangGuo, Ruey-ShanRuey-ShanGuoCheng, M.C.M.C.ChengChang, B.C.B.C.ChangChen, C.B.C.B.ChenLan, JakeyJakeyLanHong, AmosAmosHong2006-09-272018-06-292006-09-272018-06-292005http://ntur.lib.ntu.edu.tw//handle/246246/2006092712165319512005 deliverable report:. supply chain quadratic goal programming models & solutions. task 1214.002: robust configuration & monitoring of semiconductor supply chains. contract 1214: configuration. monitoring & control ofThis report presents a novel approach to formulating and optimizing the semiconductor supply chain performance. Unlike conventional modeling of supply chain operations, empirical quadratic models are established to describe the supply chain behavior. Quadratic goal programming model is then used to optimize the supply chain performance. In order to construct the quadratic response-surface models of supply chain performance, a supply chain simulation model is first set up. Simulation runs are then conducted based on a D-optimum experimental design. By the results of simulation experiments, quadratic models for different QoS priorities are built with stepwise regression. The quadratic response surfaces then serve as the objective functions of the goal programming model. Optimization is finally performed to obtain a robust supply chain configuration with its X-factors and cycle-time variability minimized.application/002.pdf302164 bytesapplication/pdfzh-TWconference paperhttp://ntur.lib.ntu.edu.tw/bitstream/246246/200609271216531951/1/2005 deliverable report 1214.002.pdf