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以作者查詢圖書館館藏 、以作者查詢臺灣博碩士 、以作者查詢全國書目 、勘誤回報 、線上人數：96 、訪客IP：18.118.27.72
姓名 鄭唯理(William Jeng) 查詢紙本館藏 畢業系所 工業管理研究所 論文名稱 策略學習: 建築於經驗上的品質改善模型
(Strategic Learning: An experience-based quality improvement model)相關論文 檔案 [Endnote RIS 格式]
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摘要(中) 售後服務在近代越來越被重視，可以說是用來定義和描述一間公司不可或缺的重要元素之一。不幸的是，關於售後服務品質的資訊，顧客往往只能藉由聽取過去已購買消費之使用者的過往經歷來判定一間公司售後服務的好壞。公司如果想要在銷售實際發生前，向顧客展現其售後服務的好壞並不那麼容易。其中一種最廣泛被使用的方式即是對其所販賣的產品提供保固，藉由提供資訊服務、專業維修等來照顧顧客一段時間，藉此表明其對於產品品質的重視及自信。
現代汽車於一九九九年開始，對其公司所販賣的汽車提供了十年、十萬英里的保固。這樣的保固長度不管是在當時或者是現在，比較起其他競爭者都是非常驚人的，就連眾所周知的汽車龍頭Toyota、Nissan等等公司所提供的保固皆只有現代汽車的一半。在必須面對更多售後服務成本的情況下，究竟是什麼動機促使了現代汽車做出這樣的決策，而且在多年後證實了這是一個正確且合理的決策？
本篇研究主要闡述了一種公司能藉由生產更多產品來累積經驗，藉由產品品質的提升來獲益的情形，並試圖使用學習的角度來解釋現代汽車的策略。研究結果顯示，在深刻了解品質是必須學習的情況下，確實有選擇使用更長的保固時間來吸引顧客消費藉此促發學習、提升產品品質並降低產品故障的可能性。過去學習曲線相關文獻大多都著重於生產過程中的成本縮減，像是原物料、維修費用等等。本篇論文主要的貢獻是將學習的概念帶到另一個層面，帶出藉由品質學習來降低產品銷售後的服務成本，並帶出策略學習的可能性。
摘要(英) After-sale service has attracted a lot of attention, and is becoming an indispensable and very important element to define and describe an enterprise nowadays. Unfortunately, consumers can only get that information from past user’s experience. It is not easy for an enterprise to show the consumers how great the after-sale service is before purchase actually takes place. One of the most common ways is to provide products with warranty. Provide professional assistance and repair, and take care of their consumers for a certain length of time. Show the consumers about an enterprise’s ambition and confidence of making better quality products.
Hyundai Motor Company started to provide their customers vehicles with 10-year / 100,000-mile warranty since 1999, which is way longer than its rivals in the industry. Giants in the industry such as Toyota and Nissan provide only half of it. What’s the incentive that motivates Hyundai to choose such a strategy, even knowing that they’re going to face higher service costs in the future?
This research illustrates a situation where firms can benefit by improving the quality of the product from getting more experienced, and tries to explain the strategy of Hyundai in the perspective of learning. The result shows that if we’re aware of the presence of learning in quality, it’s possible to choose a longer warranty length to stimulate demand thus induce learning on purpose. Most of the previous literatures in learning had focused on the cost reduction in manufacturing, such as material, maintenance…etc. The main contribution of this research is to step the concept of learning to another aspect, introducing the idea of after-sale cost reduction through learning in quality and brings out the possibility of strategic learning.
關鍵字(中) ★ 保固
★ 品質
★ 售後服務
★ 學習關鍵字(英) ★ after-sale service
★ warranty
★ learning
★ quality論文目次 Content I
List of Tables II
List of Figures II
Chapter 1 Introduction 1
Chapter 2 Literature Review 4
2.1 Quality Signaling 4
2.2 Learning Models in productive systems 5
2.3 Warranty Cost Modeling 6
Chapter 3 Model and Analysis 7
3.1 Basic Model 8
3.2 The two strategies 11
3.2.1 Strategy I – Ignore learning 12
3.2.2 Strategy II – Strategic Learning, take learning into consideration 12
Chapter 4 Numerical Example 14
4.1 Results applying Strategy I & II . 15
4.1.1 Strategy I: Ignore learning, being short-sighted 15
4.1.2 Strategy II: Strategic Learning 16
4.2 Comparing the results of Strategy I & II 18
4.2.1 Difference in production quantity 18
4.2.2 Difference in experience 19
4.2.3 Difference in the expected number of warranty claims 20
4.2.4 Difference in profits 21
Chapter 5 Sensitivity Analysis 22
5.1 Price elasticity α 22
5.2 Warranty period elasticity β 25
5.3 Time elasticity γ 28
5.4 Learning elasticity θ 31
Chapter 6 Summary and Future Research 35
6.1 Summary 35
6.2 Future Research 38
Reference 40
參考文獻 1. Argote, L. and Epple, D., “Learning Curves in Manufacturing,” Science, vol. 247, No.4945, 1990
2. Balachander, S., “Warranty Signaling and Reputation,” Management Science, Vol. 47, No. 9, Sep., 2001
3. Fine, C. H., “Quality Improvement and Learning in Productive Systems,” Management Science, 32, 10, 1986
4. Fine, C. H., “A Quality Control Model with Learning Effects,” Operations Research, 36, 3, 1988
5. Frees E. W. and Nam S. H., “Approximating Expected Warranty Costs,” Management Science, 34, 12, 1988
6. Glickman, T. S. and Berger, P. D., “Optimal Price and Protection Period Decisions for a Product under Warranty,” Management Science, 22, 12, 1976
7. Li, K., “Quality signaling through warranty & brand reputation,” Service Operations and Logistics and Informatics, July 2010
8. Lin, P. C., “optimal pricing, production rate, and quality under learning effects,” Journal of Business Research, 61, 2008
9. Lundvall, D. M. and Juran, J. M., “Quality Costs,” Quality Control Handbook 3rd edition, 1974
10. Menke, W. W., “Determination of Warranty Reserves,” Management Science, 15, 10, 1969
11. Nguyen D. G. and Murthy N. P., “Cost Analysis of Warranty Policies,” Naval Research Logistics Quarterly, 31, 4, 1984
12. Porteus, E. L., “Optimal Lot Sizing, Process Quality Improvement and Setup Cost Reduction,” Operations Research, 34, 1, 1986
13. Spence, A. M., “The Learning Curve and Competition,” Bell Journals of Economics, Spring, 1981
14. Spence, A. M., “Consumer Misperceptions, Product Failure and Producer Liability,” The Review of Economic Studies, Vol. 44, No.3, 1977
15. Wu, S., “Warranty Data Analysis: A Review,” Quality and Reliability Engineering International, 2012
16. Yelle, L. E., “The Learning Curve: Historical Review and Comprehensive Survey,” Decision Science, 10, 19
指導教授 曾富祥(Fu-Shiang Tseng) 審核日期 2012-7-13 推文 plurk
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