製鞋業屬傳統勞力密集產業，近年來大多的企業無論是成本考量或是市場因素，而將廠房外移至中國、越南、印尼、印度等國家，形成多廠區的生產網路。且由於勞力成本的增加及多變化鞋型訂單，如何達到快速因應變動、提高生產效率、降低成本等目標，逐漸成為製鞋工廠重大挑戰。
在這樣的環境下，本研究發展一套製鞋業多廠區訂單管理模擬模式，可以同時考量各廠的產能負擔、不同產品製程差異，做適當的分配以維持良好的訂單交期表現與生產績效。首先，機台負荷量估算模組利用週期時間、客戶要求交期等資訊，進而推估現場各訂單對於瓶頸站產能利用時段，預估瓶頸站於規劃週期內之產能負荷情形，評估達成插單交期之可行性。而訂單分配模組藉由現場之在製品資訊與既定訂單之投料預測時點，利用瓶頸站產能需求推估機制之結果，從中搜尋可提供給插單產能之訂單。最後，績效評估模組則依據各廠訂單異動的結果進行重排程及異動之績效評估。
經過模擬結果顯示，不同生產參數水準的組合能影響生產績效指標的表現。而透過實驗設計的手法，也驗證不同生產參數水準的設定對於系統生產績效指標確實有顯著的影響。

In footwear industry, more and more enterprises have expanded their production systems. These enterprises face critical challenges recently, such as high labor cost and diverse shoes-type orders. It is necessary for footwear industry to focus on how to response for variation rapidly, increase productivity, and reduce cost.
This research developed a multi-site order management simulation model for footwear manufacturing. One that can consider the capacity burden of each plant and the product type differences, and then makes the appropriate allocation to maintain high production performance. First, the workload estimation module (WEM) estimates the time period of the bottleneck that will be used by each order. Thus, it provides the loading information of bottleneck. Then, the order assignment module (OAM) picks out the candidate orders that may fit the capacity requirement to the bottleneck by using the results of the workload estimation module. Finally, the performance evaluation module (PEM) reflects the impact on the manufacturing system resulting from order exchange with production performance including bottleneck utilization, makespan and lateness.
The simulation results show that different combinations with different levels of these control factors lead to different production performance according to which response decision makers are trying to optimize. Through the technique of experimental design, this research also justify the effect of different parameter settings on the production performance such as bottleneck utilization.

摘要 I
Abstract II
致謝 III
Contents IV
List of Tables VI
List of Figures VII
Chapter 1: Introduction 1
1.1 Background 1
1.2 Objectives 3
1.3 Organization of Thesis 4
Chapter 2: Literature Review 6
2.1 Multi-site Planning 6
2.2 Order Exchange 7
2.3 Insight on Simulation Modeling 9
2.4 Simulation Works in Footwear Industry 9
Chapter 3: Problem Definition 12
3.1 Shoe Manufacturing Process 12
3.2 Shoe Production Layout 15
3.3 Shoe Model 17
3.4 Production Planning and Scheduling in Shoe Industry 18
3.5 Problem Statement 19
3.6 Multi-site Order Exchange Mechanism 21
Chapter 4: Simulation Model 34
4.1 Simulation Software - FlexSim 34
4.2 Data Collection 34
4.3 Model Specifications 35
4.4 Model Assumptions 40
4.5 Verification and Validation 40
Chapter 5: Computational Study 45
5.1 Test Case 45
5.2 Experiment Design 46
5.3 Experimental Results and Analysis 48
Chapter 6: Conclusion and Future Research 55
6.1 Conclusion 55
6.2 Future Research 56
References 57

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