臺灣博碩士論文加值系統

近年提倡工業4.0，許多公司開始建立智慧型生產系統，進而導入預測性維修。預測性維修即為使用感測器與分析數據進行設備狀態之監控，在生產系統失控前先一步進行維修。傳統的經濟生產批量模型，假設生產產品皆為良品，但這並不符合現實情況。生產系統可能從可控制狀態轉移至失控狀態而導致更高的不良率發生。本研究即探討預測性維修以及不良品重工下的非完美經濟生產批量模型。本研究考慮兩種狀況：(1)當系統處於失控狀態下，可繼續生產；(2)當系統處於在失控狀態下，需停止生產。本研究針對此兩種狀況分別建立數學模型，模型的目標為決定最佳的預測性維修投資水準與生產期間使總期望成本最小化。本論文針對此兩個模型分別提出演算法求解，並討論在不同的參數下做相關決策與總成本變化。最後根據數值分析結果提出管理意涵。

Recently, many companies begin to develop intelligent production systems and perform predictive maintenances due to the popular of Industry 4.0. Predictive maintenance monitors production systems by using sensors and data analysis, and maintains production systems before out of control. The traditional economic production quantity (EPQ) model assumes all products are perfect quality, which is not realistic. Production systems may shift from the “in-control” state to the “out-of-control” state, resulting in a higher defective rate. This paper develops imperfect economic production quantity models under predictive maintenance (PDM) and reworking of defective products. This paper considers two different conditions :(1) the production system continues to produce product when it shifts to “out-of-control” state; (2) the production system stops producing when it shifts to “out-of-control” state. This paper develops mathematical models for these two conditions. The objective of the models is to determine the optimal predictive maintenance effort and production run time while minimizing the total expected cost. Also, this paper provides algorithms to solve the two problems. We discuss the influences of system parameters on the expect total cost and decisions. Finally, management insights are provided based on the results of numerical analysis.

摘要 IV
ABSTRACT V
ACKNOWLEDGMENTS VI
TABLE OF CONTENTS VII
LIST OF FIGURES VIII
LIST OF TABLES IX
CHAPTER 1 INTRODUCTION 1
1.1 Background and Motivation 1
1.2 Research Objectives 3
1.3 Thesis Organization 3
CHAPTER 2 LITERATURE REVIEW 5
2.1 Imperfect Economic Production Quantity Models under Rework Imperfect items 5
2.2 Maintenances strategy 8
CHAPTER 3 PRODUCTION SYSTEM THAT CONTINUES TO PRODUCE IN THE “OUT-OF-CONTROL” STATE 11
3.1 Notations and Assumptions 11
3.2 Mathematical Model 13
3.3 Solution Approach 16
3.4 Numerical Example 18
3.5 Sensitivity Analysis 21
CHAPTER 4 PRODUCTION SYSTEM STOPS THAT TO PRODUCE IN THE “OUT-OF-CONTROL” STATE 26
4.1 Notations and Assumptions 26
4.2 Mathematical Model 27
4.3 Solution Approach 30
4.4 Numerical Example 31
4.5 Sensitivity Analysis 34
CHAPTER 5 CONCLUSION 37
5.1 Research result 37
5.2 Future Research 38
Reference 40

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