| 摘要(英) |
We study the planning strategy for each BOM item in the context of MTO environment. A BOM item can be MTO or MTS. We assume that the demand of end item follows a stochastic process. A production facility with limited capacity is approximated as an M/G/1 queue. The MTS/MTO decision for each BOM item is modeled as a zero-one variable. In this study, a MTS item follow an inventory (Q, r) policy. A MTO item does not keep inventory.
We develop a nonlinear, integer programming model to decide each BOM item whether it is MTS or MTO. We restrict our approach within a single product format. We assume that the demand of end item follows a stochastic process. The facility with limited capacity is approximated as an M/G/1 queue. In particular, for MTS item, the production/inventory (Q, r) policy is set. For MTO item, no inventory is kept. And a committed lead-time is introduced. We extend the heuristic Ke (2001) developed and use AMPL/MINOS to solve item planning strategy and MTS inventory (Q, r) policy simultaneously.
We consider a special case to implement the model. We also use a numerical test to evaluate the heuristic. Finally, a computational analysis is conducted to explore the impact of various problem parameters on the MTS/MTO decision. Several factors impact on the MTS/MTO decision and the (Q, r) policy, including unit holding cost, unit backorder cost, and set up time. |
| 參考文獻 |
柯瓊琍，2001，訂單生產環境下之BOM內各品項生產規劃之決策問題，國立中央大學工業管理研究所碩士論文。
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