由於科技快速的進步以及消費者需求型態的改變，現在的企業面臨到許多的挑戰。因此，企業的競爭型態還必須強調企業整合供應鏈的能力。然而這樣的改變對於企業傳統的生產規劃與排程系統來說是一個相當大的衝擊，因此，能夠妥善的分配有限資源並即時回應環境變動的先進規劃與排程(Advanced Planning and Scheduling; APS)系統成為了最近幾年相當重要的研究課題。而排程問題是其中相當重要的部分，但大部分的研究都是針對生產系統在正常的狀況下所做的討論，而在異常狀況下所做的研究略顯不足，因此本研究希望針對異常狀況發生時最常採取的加班決策來做探討，建立了一個較完整的加班決策模式，使APS系統更為完整，進而提昇企業資源規劃與供應鏈管理系統的使用效率。

With the rapid progression of technology and changing consumer demand, businesses
are facing many challenges and required to be capable of integrating their supply chain.
However, this also makes a great impact on the production planning and scheduling systems of
traditional industries, and this makes APS, which could allocate limited resources and provide
prompt response to the environmental changes, a hot topic.
Scheduling problem is important, but most studies are still focusing on production systems under
normal situation. Therefore, to make APS system more sound, the study will specifically center
on overtime decision that mostly happens under abcdrmal situation, to build up a more complete
overtime decision model that further increase the efficiency of enterprise resource planning and
supply chain management system.

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