An Analytical Framework for Supply Chain Performance Evaluation and Optimization
|關鍵字:||整合性供應鏈;矩陣分析方法;擬生死過程;馬可夫調適卜瓦松過程;巨集啟發式解法;Integrated stochastic supply chain;Quasi-birth-and-death process;Matrix analytical method;Markov modulated Poisson process;Meta-heuristic method|
An integrated matrix analytic model is proposed to evaluate a multi-echelon supply chain (SC) from a systematic viewpoint. Generally speaking, a multi-echelon supply chain consists of four basic subsystems: raw material supply, production, distribution and transportation. In the past, most of the analyses of complex supply chain models seemed to be fragmented and tended to pursue local analysis. For example, some studies assumed market demands were known and tried to find the most adequate manufacturing strategies. Others assumed that supplies were unlimited and tried to find optimal distribution strategies to fight against demand uncertainty. In the first phase of this study, the market demand and supply process were assumed stochastic. Each SC contributor was then treated as a single server in a tandem queueing network. We developed an integrated matrix analytic model for the steady state performance evaluation in terms of total operating cost and customer service level for a fabricated SC problem. We also took upstream unavailability into the modeling process. Next, we investigated deeply into the impact of supply/demand uncertainties on SC performance. We modeled various uncertainty scenarios as Markov modulated Poisson processes (MMPP). Using matrix geometric method we obtained the steady state performance measures and proposed solution measures for a test SC problem with make-to-order mode. Finally, based on the above-developed SC evaluation model, we investigated various optima seeking procedures. Our objective was to solve the optimal buffer and capacity allocation problems simultaneously such that the chain wide operation cost was minimized under pre-specified service level. Especially, we discussed the impact of unreliable supply on system performance.
|Appears in Collections:||Thesis|
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