臺灣博碩士論文加值系統

隨著近年來科技的迅速發展，改變了世界貿易的形式，對於企業而言，為了面對日益激烈的競爭，管理者致力於運用一個有效的供應鏈管理，而其中，存貨策略在供應鏈管理中占據重要的一環，有效的存貨政策不僅可以降低不必要的成本，還可以提高企業的競爭力。本研究的主要目的是建立一個考慮單一供應商及單一買方的供應鏈整合存貨模型，由於全球供應鏈，在途產品的運輸對供應鏈參與者是一項重要的挑戰，因此在本文中，將運輸成本考慮在整合存貨模型中，並且同時考慮在具有預防性維護政策的情況之中，預防性維護包含了兩種類型，即為完全預防性維護和不完全預防性維護，一旦機器發生了故障，最小的維修可以將系統恢復到工作模式。在本文的最後，提供了幾個符合不同機率分配的模型做為數值範例，並針對幾項關鍵的因素進行敏感度分析，研究結果顯示需求率與生產率的比值對於模型的影響是最大的。

With the rapid development of technology in recent years, the form of world trade has changed. For enterprises, in order to face the increasingly fierce competition, managers are committed to applying an effective supply chain management. And the inventory policy has a great importance in supply chain management. An effective inventory policy can not only reduce unnecessary costs, but also improve the competition of enterprises. This research developed an integrated inventory model with single-vendor and single-buyer. Due to the global supply chain, the transportation of in-transit products is a challenge for supply chain participants. Accordingly, transportation cost is incorporated into the inventory model. Besides, we also considered preventive maintenance policy into the model. There are two types of preventive maintenance, namely perfect preventive maintenance and imperfect preventive maintenance. Once the failure occurs, the minimal repair can restore the system to working mode. Finally, we provide several models following different probability distribution as numerical examples and conduct some sensitivity analyses to discuss the effect of the factors. The results show that the ratio of demand rate to production rate has the greatest impact on the model.

摘要
Abstract
Contents
Figures
Tables
Chapter 1 Introduction
1.1 Research Background and Motivation
1.2 Research Objectives
1.3 Research Process
Chapter 2 Literature Review
2.1 Integrated Inventory Model
2.2 Preventive Maintenance
2.3 Transportation Cost
Chapter 3 Model Building
3.1 Notations
3.2 Assumptions
3.3 Model Formulation
3.3.1 Vendor's total expected cost
3.3.2 Buyer's total expected cost
3.3.3 Joint total expected cost
Chapter 4 Numerical Experiment
4.1 Case Studies
4.1.1 Perfect PM
4.1.2 Imperfect PM by Nakagawa
4.1.3 Learning Effect
4.1.4 Weibull Distribution
4.2 Numerical Analyses
4.2.1. Parameter Setting
4.2.2. Result Illustration
4.3 Sensitivity Analyses
4.3.1. Ratio of breakdown cost to preventive maintenance cost
4.3.2. Ratio of demand rate to production rate
4.3.3. The effect of preventive maintenance cost Cm
4.3.5. Impact of three factors
Chapter 5 Conclusions
5.1 Summary
5.2 Further Extension
References
Appendix

Abad, P., & Aggarwal, V. (2005). Incorporating transport cost in the lot size and pricing decisions with downward sloping demand. International Journal of Production Economics, 95(3), 297-305.

Banerjee, A. (1986). A joint economic‐lot‐size model for purchaser and vendor. Decision sciences, 17(3), 292-311.

Barlow, R., & Hunter, L. (1960). Optimum preventive maintenance policies. Operations research, 8(1), 90-100.

Barlow, R. E., Proschan, F., & Hunter, L. C. (1965) Mathematical Theory of Reliability John Wiley and Sons Inc. New York.

Baumol, W. J., & Vinod, H. D. (1970). An inventory theoretic model of freight transport demand. Management Science, 16(7), 413-421.

Chelbi, A., & Ait-Kadi, D. (2004). Analysis of a production/inventory system with randomly failing production unit submitted to regular preventive maintenance. European Journal of Operational Research, 156(3), 712-718.

Chen, Z., & Sarker, B. R. (2010). Multi-vendor integrated procurement-production system under shared transportation and just-in-time delivery system. Journal of the Operational Research Society, 61(11), 1654-1666.

Darma Wangsa, I., & Wee, H. M. (2018). An integrated vendor–buyer inventory model with transportation cost and stochastic demand. International Journal of Systems Science: Operations & Logistics, 5(4), 295-309.

Ertogral, K., Darwish, M., & Ben-Daya, M. (2007). Production and shipment lot sizing in a vendor–buyer supply chain with transportation cost. European Journal of Operational Research, 176(3), 1592-1606.

Goyal, S. K. (1977). An integrated inventory model for a single supplier-single customer problem. The International Journal of Production Research, 15(1), 107-111.

Goyal, S. K. (1988). “A joint economic‐lot‐size model for purchaser and vendor”: A comment. Decision sciences, 19(1), 236-241.

Goyal, S. K. (1995). A one-vendor multi-buyer integrated inventory model: A comment. European Journal of Operational Research, 82(1), 209-210.

Groenevelt, H., Pintelon, L., & Seidmann, A. (1992). Production lot sizing with machine breakdowns. Management Science, 38(1), 104-123.

Gurnani, H. (2001). A study of quantity discount pricing models with different ordering structures: Order coordination, order consolidation, and multi-tier ordering hierarchy. International Journal of Production Economics, 72(3), 203-225.

Hill, R. M. (1997). The single-vendor single-buyer integrated production-inventory model with a generalised policy. European Journal of Operational Research, 97(3), 493-499.

Hill, R. M. (1999). The optimal production and shipment policy for the single-vendor singlebuyer integrated production-inventory problem. International Journal of Production Research, 37(11), 2463-2475.

Jauhari, W. A., Fitriyani, A., & Aisyati, A. (2016). An integrated inventory model for single-vendor single-buyer system with freight rate discount and stochastic demand. International Journal of Operational Research, 25(3), 327-350.

Kim, S.-L., & Ha, D. (2003). A JIT lot-splitting model for supply chain management: Enhancing buyer–supplier linkage. International Journal of Production Economics, 86(1), 1-10.

Ko, M. D., Wang, C. C., & Yang, M. F. (2019). Optimal Integrated Inventory Model with Preventive Maintenance Program based on Rapid Inspection. IAENG International Journal of Applied Mathematics, 49(4), 1-7.

Langley, C. J. (1979). The inclusion of transportation costs in inventory models: some considerations: College of Business Administration, University of Tennessee.

Leuveano, R. A. C., Jafar, F. A. B., & Muhamad, M. R. B. (2014). Incorporating transportation costs into integrated inventory model for single supplier and single purchaser. Advanced Science Letters, 20(1), 290-293.

Leuveano, R. A. C., Jafar, F. A. B., Saleh, C., Muhamad, M. R. B., & Rahman, M. (2014). Incorporating Transportation Cost into Joint Economic Lot Size For Single Vendor-Buyer. J. Softw., 9(5), 1313-1323.

Li, G., & Rajagopalan, S. (1997). The impact of quality on learning. Journal of Operations Management, 15(3), 181-191.

Liao, G. L. (2013). Joint production and maintenance strategy for economic production quantity model with imperfect production processes. Journal of Intelligent Manufacturing, 24(6), 1229-1240.

Liao, G. L. (2015). Production and maintenance policies for an EPQ model with perfect repair, rework, free-repair warranty, and preventive maintenance. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 46(8), 1129-1139.

Liao, G. L., Chen, Y. H., & Sheu, S. H. (2009). Optimal economic production quantity policy for imperfect process with imperfect repair and maintenance. European Journal of Operational Research, 195(2), 348-357.

Lu, L. (1995). A one-vendor multi-buyer integrated inventory model. European journal of operational research, 81(2), 312-323.

Mendoza, A., & Ventura, J. A. (2008). Incorporating quantity discounts to the EOQ model with transportation costs. International Journal of Production Economics, 113(2), 754-765.

Mendoza, A., & Ventura, J. A. (2009). Estimating freight rates in inventory replenishment and supplier selection decisions. Logistics Research, 1(3), 185-196.

Ming, F. Y., Chien, M. S., Ming, C. L., Hsu, H. L., & Wei, C. T. (2013, March). Integrated inventory model with decreasing probability of imperfect maintenance in a supply chain. In International Multi conference of Engineers and Computer Scientists (IMECS), Hong Kong.

Nie, L., Xu, X., & Zhan, D. (2006). Incorporating transportation costs into JIT lot splitting decisions for coordinated supply chains. Journal of Advanced Manufacturing Systems, 5(01), 111-121.

Pan, J.-H., & Yang, M.-F. (2008). Integrated inventory models with fuzzy annual demand and fuzzy production rate in a supply chain. International Journal of Production Research, 46(3), 753-770.

Pan, J. C.-H., & Yang, J.-S. (2002). A study of an integrated inventory with controllable lead time. International Journal of Production Research, 40(5), 1263-1273.
Sarkar, B., Ganguly, B., Sarkar, M., & Pareek, S. (2016). Effect of variable transportation and carbon emission in a three-echelon supply chain model. Transportation Research Part E: Logistics and Transportation Review, 91, 112-128.

Sheu, S.-H., Lin, Y.-B., & Liao, G.-L. (2006). Optimum policies for a system with general imperfect maintenance. Reliability Engineering & System Safety, 91(3), 362-369.

Swenseth, S. R., & Buffa, F. P. (1990). Just‐in‐time: some effects on the logistics function. The International Journal of Logistics Management.

Swenseth, S. R., & Godfrey, M. R. (1996). Estimating freight rates for logistics decisions. Journal of Business Logistics, 17(1), 213.

Swenseth, S. R., & Godfrey, M. R. (2002). Incorporating transportation costs into inventory replenishment decisions. International Journal of Production Economics, 77(2), 113-130.

Tseng, S.-T. (1996). Optimal preventive maintenance policy for deteriorating production systems. IIE transactions, 28(8), 687-694.

Watson, D. I., Baigrie, R. J., & Jamieson, G. G. (1996). A learning curve for laparoscopic fundoplication. Definable, avoidable, or a waste of time?. Annals of surgery, 224(2), 198.

Yang, M.-F., & Lin, Y. (2012). Integrated cooperative inventory models with one vendor and multiple buyers in the supply chain. European Journal of Industrial Engineering, 6(2), 153-176.

Yang, M. F., & Lin, Y. (2018). Integrated inventory model with backorder and minimal repair in a supply chain. Proceedings of the Institution of Mechanical Engineers Part B-Journal of Engineering Manufacture, 232(3), 546-560. doi:10.1177/0954405416645997

Yang, M. F., Su, C. M., Lo, M. C., Lee, H. H., & Tseng, W. C. (2013). Integrated inventory model with decreasing probability of imperfect maintenance in a supply chain. Paper presented at the Lecture Notes in Engineering and Computer Science.

Yang, Z. M., Djurdjanovic, D., & Ni, J. (2008). Maintenance scheduling in manufacturing systems based on predicted machine degradation. Journal of intelligent manufacturing, 19(1), 87-98.