本研究使用Microsoft Visual Basic應用程式（VBA）建構產能規劃系統（CPS）制定可行之生產計劃，以增加生產效率。此產能規劃系統除考慮庫存、訂單下單外，亦針對不同產品之生產特性以及品管檢驗造成之損失，在平衡機台負荷量的情況下，進行生產計劃之規劃。此產能規劃系統包含五大產能規劃模組：訂單處理模組（OTM）、訂單排序模組（OPM）、批量加工模組（LRM）、負荷累積模組（WAM）及負荷平衡模組（WBM）。
實驗結果顯示，CPS可有效安排每日機台負荷量，避免負荷量過高。本研究除了開發CPS外，亦利用實驗設計來評估CPS與各種因素和水準的效率。本研究有五種分析因子（訂單數、訂單量、訂單量差異、訂單優先順序及平衡策略）及三種反應值，分別為機台負荷平衡、訂單交期差異及延遲交貨天數。另外，此研究利用變異數分析（ANOVA）評估並分析因子針對反應值的影響。最後，此研究利用八種不同的環境因子、兩種策略控制因子求出可行解，期協助決策者在不同生產環境下，找出最佳策略與訂單排序。

In this research, a Capacity Planning System (CPS) is developed using Microsoft Visual Basic for Application (VBA) to generate a feasible production schedules and avoid overcapacity. This capacity planning system can assign orders to production lines by considering stocks in inventory and number of production loss due to initial machine setup quality checking, and process characteristics. Moreover, it can also plan order release time, and balance machine loading. This can be accomplished by implementing five major modules in the capacity planning system: Order Treatment Module (OTM), Order Priority Module (OPM), Lot Release Module (LRM), Workload Accumulation Module (WAM), and Workload Balance Module (WBM).
CPS results indicated that CPS could effectively reduce overcapacity. Additionally, experimental design is used to evaluate the effectiveness and efficiency of the proposed CPS with various factors and levels. There are five factors considered (number of orders, order size, order size variance, order priority and balance policy) and the responses of this experimental analysis are machine workload balance, order due date deviation and lateness. Analysis of variance (ANOVA) is used to evaluate the factors in accordance to the responses. Moreover, the optimal settings for the control factors under 8 combinations of different environment factors are also evaluated. This can assist decision makers to use the optimal settings of control factors to generate the best favorable response under different environment factors.

摘要 I
Abstract II
Acknowledgement III
Contents IV
List of Tables VI
List of Figures VII
Chapter 1 Introduction 1
1.1 Background and Motivation 1
1.2 Research Objectives 3
1.3 Research Method 4
1.4 Organization of Thesis 5
Chapter 2 Literature Review 7
2.1 Scheduling and Job Releasing Rules 7
2.2 Capacity Planning System in Various Industries 9
2.3 Advanced Planning and Scheduling 12
Chapter 3 Methodology 16
3.1 Problem Definition 16
3.1.1 Research Scope, Constraints and Assumptions 22
3.2 Capacity Planning System 23
3.2.1 Infinite and Finite Capacity Planning 23
3.2.2 Order Treatment Module (OTM) 30
3.2.3 Order Priority Module (OPM) 31
3.2.4 Lot Release Module (LRM) 33
3.2.5 Workload Accumulation Module (WAM) 37
3.2.6 Workload Balance Module (WBM) 39
Chapter 4 Experiments and Results 42
4.1 CPS Environment 42
4.2 CPS Result 44
4.3 Analysis of Experimental Design 48
4.3.1 Experimental Design Factors 48
4.3.2 Experimental Design Responses 50
4.4 Experimental Results and Analysis 52
4.4.1 ANOVA Result 52
4.4.2 The Main Effects Plot 57
4.4.3 The Interaction Plot 60
4.4.4 Optimal Design under Different Environment Factors 62
Chapter 5 Conclusion 68
References 70

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