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    政大機構典藏 > 商學院 > 會計學系 > 學位論文 >  Item 140.119/34281
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    Title: 產品多樣性及製造彈性對生產績效與生產成本之影響:晶圓代工廠商之實地實證研究
    Authors: 尤隨樺
    Contributors: 吳安妮
    尤隨樺
    Keywords: 產品多樣性
    路徑彈性
    機器彈性
    環境不確定性
    晶圓代工
    Product variety
    Routing flexibility
    Machine flexibility
    Environmental uncertainty
    Wafer fabrication
    Date: 2002
    Issue Date: 2009-09-18 09:13:32 (UTC+8)
    Abstract: 本論文採用實地實證研究,以一家專業晶圓代工廠商為研究對象,詳細分析在晶圓代工的製造環境下,產品多樣性及製造彈性對生產品質、生產週期時間、設備生產力與生產成本之影響。不同於過去研究,以外部彈性(例如:產品組合彈性、新產品彈性等)為研究重心,本論文以內部彈性為研究範疇,涵蓋機器彈性與路徑彈性兩種彈性型態,據以彌補現存製造彈性文獻的缺口。
    關於產品多樣性與製造彈性對生產績效與生產成本之直接影響,本論文首先以等候理論與整數規劃模型為基礎,加入實地環境特性的考量,推導研究假說與實證模型;繼而,蒐集來自個案公司6個月的詳細生產資料,包括兩類資料型態:機台水準(machine-level)與生產批量水準(lot-level)進行實證分析。綜合理論模型與實證分析結果,本論文發現:在晶圓代工的製造環境中,由於製程高度自動化之故,產品多樣性對生產績效的直接影響並不顯著,但因研發與工程實驗所產生的環境變異性則對生產績效具有顯著的負面影響;在製造彈性方面,吾人則發現路徑彈性不僅有助於生產週期時間的縮短,也對品質與成本績效具有顯著的正向影響,而機器彈性雖有助於設備生產力的提昇與生產成本的降低,但對生產品質則有顯著的負面影響,此外,本研究也發現:製造彈性與設備生產力、生產週期時間及生產成本之間存在非線性關係,並呈現報酬遞減的趨勢,隱含:極大化製造彈性並非最佳,有限的彈性水準即可達到最大的彈性利益。
    考慮製造彈性的價值高低與環境不確定性密切相關,本研究進一步採用路徑分析檢視產品多樣性、製造彈性、環境不確定性與生產績效之間的關聯性,基於本研究以內部彈性為研究範疇,並以製造環境為研究客體,依據生產管理文獻,由製程時間變異性、到達時間變異性及產品需求變異性三項指標定義製造環境的不確定性。實證結果顯示:產品多樣性主要係透過環境不確定性間接影響生產績效,而機器彈性與路徑彈性則有助於調和內部不確定性對生產績效的負面影響,進而達成生產績效的提昇。本論文之分析結果隱含:過去管理會計研究認為產品多樣性對生產績效的影響主要來自於批量作業活動(batch-level activities)與產品支援活動(product-sustaining activities)的增加,而忽略產品多樣性對環境不確定性的影響,可能低估產品多樣性的攸關成本,尤其在一高利用率與高度動態的生產環境中,產品多樣性透過環境不確定性對生產績效的間接影響可能大於產品多樣性對生產績效的直接影響;另一方面,本研究指出:在一動態環境中,廠商可透過製造彈性的提昇,降低環境不確定性對生產績效的負面影響,但最適彈性水準的決定則須取決於製造彈性與其他生產績效衡量之間的函數關係。
    This thesis reports the results of a field empirical study examining the impact of product variety and manufacturing flexibility on production quality, cycle time, equipment productivity, and production cost within the context of semiconductor wafer fabrication facilities. To fill the gap in existing research, I attempt to study internal flexibility, rather than external flexibility (e.g., product flexibility, mix flexibility). Two types of internal flexibility are selected, which are machine flexibility and routing flexibility.

    Using both machine-level and lot-level production data from one dedicated wafer fabrication plant, this thesis examines the direct impact of product variety and manufacturing flexibility on production performance and production cost. Empirical results suggest that greater product variety does not have a significant impact on equipment productivity but does have a significant adverse impact on production quality. Moreover, I find support for the hypotheses that greater routing flexibility has a significant positive impact on quality, time, and cost performance. As for machine flexibility, it has a significant positive impact on equipment productivity and cost performance, but has a significant negative impact on production quality. Furthermore, I also find a non-linear relation between manufacturing flexibility and equipment productivity, cycle time, and production cost. This implies that maximizing the level of manufacturing flexibility is not necessarily optimal for firms. Limiting the flexibility level may actually have the greatest benefit.

    To further clarify the mechanisms through which variety and flexibility impacts performance, I move beyond the direct effects and investigate the linkage between product variety, manufacturing flexibility, environmental uncertainty and production performance. Based on the operations research, environmental uncertainty is operationally defined as the process time variation, inter-arrival time variation, and output variation. Results from path analysis indicate that product variety negatively affects production performance through environmental uncertainty. This finding stands in direct contrast to the general belief in management accounting research that greater product variety leads to an increase in the number of batch-level activities and product-sustaining activities, which thus increase the production cost. In other words, the reported cost of product variety may be underestimated, because we do not consider the impact of product variety on environmental uncertainty. The magnitude of the underestimation is especially greater in a highly congested and stochastic environment. Empirical results also show that machine flexibility and routing flexibility mitigate the adverse impact of environmental uncertainty on production performance.
    Reference: 一、中文文獻:
    李惠娟,民89年,半導體產業設備產能使用效率影響因素之實地實證研究,國立政治大學會計研究所未出版碩士論文。
    林祖嘉、方世調,民81年,台北市紡織業與食品業廠商存活期間之分析,經濟論文 20(1):59-91頁。
    張俊彥,鄭晃忠,民86年,積體電路製程及設備技術手冊,中華民國產業科技發展協進會。
    二、 英文文獻:
    Ahrens, T. and J. Dent. 1998. Accounting and Organizations: Realizing the Richness of Field Research. Journal of Management Accounting Research 10:1-39.
    Anderson, S. 1995. Measuring the Impact of Product Mix Heterogeneity on Manufacturing Overhead Cost. The Accounting Review 70 (3): 363-387.
    Anderson, S. 2001. Direct and Indirect Effects of Product Mix characteristics on Capacity Management Decisions and Operating Performance. International Journal of Flexible Manufacturing Systems 13: 241-265.
    Anupindi, R., S. Chopra, S. Deshmukh, J. Mieghem, and E. Zemel. 1999. Managing Business Process Flows. New Jersey: Prentice-Hall.
    Balakrishnan, R. and N. Soderstrom. 2000. The Cost of System Congestion: Evidence from the Healthcare Sector. Journal of Management Accounting Research 12: 97-114.
    Banker, R., S. Datar, and S. Kekre. 1988. Relevant Costs, Congestion and Stochasticity in Production Environments. Journal of Accounting and Economics 10: 171-197.
    Banker, R. and H. Johnston. 1993. An Empirical Study of Cost Drivers in the U.S. Airline Industry. The Accounting Review 68 (July): 576-601.
    Banker, R., G. Potter, and R. Schroeder. 1995. An Empirical Analysis of Manufacturing Overhead Cost Drivers. Journal of Accounting and Economics 19: 115-137.
    Beach, R., A. Muhlemann, D. Price, A. Paterson, and J. Sharp. 2000. A Review of Manufacturing Flexibility. European Journal of Operational Research 122: 41-57.
    Berry, W. and M. Cooper. 1999. Manufacturing Flexibility: Methods for Measuring the Impact of Product Variety on Performance in Process Industries. Journal of Operations Management 17: 163-178.
    Benjaaffar, S. 1994. Models for Performance Evaluation of Flexibility in Manufacturing Systems. International Journal of Production Research 32 (6): 1383-1402.
    Benjaafar, S. 1995. Effect of Routing and Machine Flexibility on Manufacturing Performance. International Journal of Integrated Manufacturing 8(4): 265-279.
    Benjaafar, S. 1996. Modeling and Analysis of Machine Sharing in Manufacturing Systems. European Journal of Operational Research 91: 56-73.
    Benjaafar, S. and D. Gupta. 1998. Scope versus Focus: Issues of Flexibility, Capacity, and Number of Production Facilities. IIE Transactions 30: 413-425.
    Bohn, R. 1995. Noise and Learning in Semiconductor Manufacturing. Management Science 41(1): 31-42.
    Boyer, K. and G. Leong. 1996. Manufacturing Flexibility at the Plant Level. Omega, International Journal of Management Science 24 (5): 495-510.
    Browne, J., D. Dubois, K. Rathmill, S. Sethi, and K. Stecke. 1984. Classification of Flexible Manufacturing Systems. The FMS Magazine 2(2): 114-117.
    Brill, P. and M. Mandelbaum. 1987. On Measuring of Flexibility in Manufacturing Systems. Working Paper. University of Windsor, Windsor, Ontario.
    Buzacott, J. and J. Shanthikumar. 1993. Stochastic Modeling of Manufacturing Systems. New Jersey: Prentice Hall.
    Chandra, P. and M. Tombak. 1992. Models for the Evaluation of Routing and Machine Flexibility. European Journal of Operational Research 60: 156-165.
    Chang, S., N. Lin, and C. Sheu. 2002. Aligning Manufacturing Flexibility with Environmental Uncertainty: Evidence from High-Technology Component Manufacturers in Taiwan. International Journal of Production Research 40(18):4765-4780.
    Chen, J., R. Clinton., and C. Chung. 1992. The Marketing-Manufacturing Interface and Manufacturing Flexibility. Omega 20(4): 431-443.
    Connors, D., G. Feigin, and D. Yao. 1996. A Queueing Network Model for Semiconductor Manufacturing. IEEE Transactions on Semiconductor Manufacturing 9 (3): 412-427.
    Cooper, R. and R. Kaplan. 1991. The Design of Cost Management Systems. Prentice Hall, Englewood Cliffs, NJ.
    Cooper, W., K. Sinha, and R. Sullivan. 1995. Accounting for Complexity in Costing High Technology Manufacturing. European Journal of Operational Research 85: 316-326.
    Correa, H. 1994. Linking Flexibility, Uncertainty and Variability in Manufacturing Systems. Avebury Inc.
    Correa, H. and N. Slack. 1996. Framework to Analyze Flexibility and Unplanned Change in Manufacturing Systems. Computer Integrated Manufacturing Systems 9(1): 57-64.
    Das, S. and P. Nagendra 1993. Investigations into the Impact of Flexibility on Manufacturing Performance. International Journal of Production Research 31 (10): 2337-2354.
    Datar, S., S. Kekre, T. Mukhopadhyay, and K. Srinivasan. Simultaneous Estimation of Cost Drivers. The Accounting Review 68 (July): 602-614.
    De Groote, X. 1994c. The Flexibility of Production Processes: A General Framework. Management Science 40 (7): 933-945.
    De Toni., A. and S. Tochia. 1998. Manufacturing Flexibility: A Literature Review. International Journal of Production Research 36(6):1587-1617.
    Dopuch, N. and M. Gupta. 1994. Economic Effects of Production Changes: Accounting Implications. Journal of Management Accounting Research Fall(6):1-23.
    Fisher, M., K. Ramdas, and K. Ulrich. 1999. Component Sharing in the Management of Product Variety: A Study of Automotive Braking Systems. Management Science 45 (3): 297-315.
    Fisher, M. and C. Ittner. 1999. The Impact of Product Variety on Automobile Assembly Operations: Empirical Evidence and Simulation Analysis. Management Science 45 (6): 771-786.
    Foster, G. and M. Gupta. 1990. Manufacturing Overhead Cost Driver Analysis. Journal of Accounting and Economics 12(Spring): 309-337.
    Foster, G. and S. Young. 1997. Frontiers of Management Accounting Research. Journal of Management Accounting Research 9: 63-77.
    Garvin, D. 1988. Managing Quality.: The Strategic and Competitive Edge. New York: The Free Press.
    Gerwin, D. 1987. An Agenda for Research on the Flexibility of Manufacturing Processes. International Journal of Operations and Production Management 7(1): 38-49.
    Gerwin, D.1993. Manufacturing Flexibility: A Strategic Perspective. Management Science 39 (4): 395-410.
    Graves, S. and W. Jordan. 1991. An Analytic Approach for Demonstrating the Benefits of Limited Flexibility. GM Research Laboratories Research Publication GMR-7341.
    Greene, W. 1997. Econometric Analysis. 3th Ed. New Jersey: Prentice-Hall, Inc.
    Gross, D. and C. Harris. 1998. Fundamentals of Queueing Theory. 3th Ed. John Wiley & Sons, Inc.
    Gupta., Y. and S. Goyal. 1989. Flexibility of Manufacturing Systems: Concepts and Measurements. European Journal of Operational Research 43: 119-135.
    Gupta, M., T. Randall, and A. Wu. 2001. Association between Capacity, Congestion, and Manufacturing Productivity. Working Paper, American Accounting Association Annual Meeting.
    Gupta, D. and M. Srinivasan. 1998. Note: How Does Product Proliferation Affect Responsiveness? Management Science 44 (7): 1017-1020.
    Hair, J., R. Anderson, R. Tatham, and W. Black. 1998. Multivariate Data Analysis. 6th Ed. Prentice-Hall Inc.
    Hatch, N. and D. Mowery. 1998. Process Innovation and Learning by Doing in Semiconductor Manufacturing. Management Science 44(11): 1461-1477.
    Hatcher, L. 1994. A Step-by-Step Approach to Using the SAS System for Factor Analysis and Structural Equation Modeling. Cary, NC: SAS Institute Inc.
    Heizer, J. and B Render. 2001. Operations Management, 6th Ed. New York: Prentice-Hall.
    Hopp, J. and M. Spearman. 1996. Factory Physics: Foundations of Manufacturing Management. Irwin, Inc.
    Ittner, C. and D. Larcker. 2001. Assessing Empirical Research in Managerial Accounting: A Value-Based Management Perspective. Journal of Accounting and Economics 32: 349-410.
    Jeng, M., X. Xie, and S. Chou. 1998. Modeling, Qualitative Analysis, and Performance Evaluation of the Etching Area in an IC Wafer Fabrication System Using Petri Nets. IEEE Transactions on Semiconductor Manufacturing 11(3): 358-373.
    Jenson, B. 2000. The Impact of Resource Flexibility and Staffing Decisions on Cellular and Departmental Shop Performance. European Journal of Operational Research 127: 279-296.
    Jordan, W. and S. Graves. 1995. Principles on the Benefits of Manufacturing Process Flexibility. Management Science 41(4): 577-594.
    Kaplan, R. and R. Cooper. 1998. Cost and Effect: Using Integrated Cost Systems to Drive Profitability and Performance. Harvard School Business Press.
    Karmarkar, U. 1987. Lot Sizes, Lead Times and In-Process Inventories. Management Science 33 (March): 409-417.
    Karmarkar, U. and S. Kekre. 1989. Manufacturing Configuration, Capacity and Mix Decisions Considering Operational Costs. Journal of Manufacturing Systems (6): 315-324.
    Kekre, S. and K. Srinivasan. 1990. Broader Product Line: A Necessity to Achieve Success? Management Science 36(10):1216-1231.
    Klammer, T. 1996. Capacity Measurement and Improvement: A Manager’s Guide to Evaluating and Optimizing Capacity Productivity. Irwin, Inc.
    Koste, L. and M. Malhotra. 1999. A Theoretical Framework for Analyzing the Dimensions of Manufacturing Flexibility. Journal of Operations Management 18: 75-93.
    Koste, L. and M. Malhotra. 2000. Trade-offs Among the Elements of Flexibility: A Comparison from the Automotive Industry. Omega 28: 693-710.
    Krishnan, V. and S. Gupta. 2001. Appropriateness and Impact of Platform-based Product Development. Management Science 47(1): 52-68.
    Lancaster, K. 1990. The Economics of Product Variety: A Survey. Marketing Science 9 (Summer): 189-206.
    Mascarenhas, B. 1981. Planning for Flexibility. Long Range Planning 14(5): 78-82.
    McDuffie, J., K. Sethuraman, and M. Fisher. 1996. Product Variety and Manufacturing Performance: Evidence from the International Automotive Assembly Plant Study. Management Science 42 (March): 350-369.
    McNair, C. and R. Vangermeersch. 1998. Total Capacity Management: Optimizing at the Operational, Tactical, and Strategic Levels. IMA Foundation for Applied Research.
    Miller, J. and T. Vollmann. 1985. The Hidden Factory. Harvard Business Review 63(5): 142-150.
    Mueller, R. 1996. Basic Principles of Structural Equation Modeling: An Introduciton to LISREL and EQS. Springer-Verlag New York, Inc.
    Nandkeolyar, U. and D. Christy. 1992. An Investigation of the Effect of Machine Flexibility and Number of Part Families on System Performance. International Journal of Production Research 30 (3): 513-526.
    Narahari, Y. and L. Khan. 1997. Modeling the Effect of Hot Lots in Semiconductor Manufacturing Systems. IEEE Transactions on Semiconductor Manufacturing 10 (1): 185-188.
    Newman, W., M. Hanna, and M. Maffei. 1993. Dealing with the Uncertainties of Manufacturing: Flexibility, Buffers and Integration. International Journal of Operations and Production Management 13(1): 19-34.
    Pagell, M and D. Krause. 1999. A Multiple-Method Study of Environmental Uncertainty and Manufacturing Flexibility. Journal of Operations Management 17: 307-325.
    Randall, T. and K. Ulrich. 2001. Product Variety, Supply Chain Structure, and Firm Performance: Analysis of the U.S. Bicycle Industry. Management Science 47(12): 1588-1604.
    Sethi A. and S. Sethi. 1990. Flexibility in Manufacturing: A Survey. The International Journal of Flexible Manufacturing Systems (2): 289-328.
    Slack, N. 1983. Flexibility as a Manufacturing Objective. International Journal of Operations and Production Management 3(3): 4-13.
    Son, Y. and C. Park. 1987. Economic Measure of Productivity, Quality and Flexibility in Advanced Manufacturing Systems. Journal of Manufacturing Systems 6 (3): 193-207.
    Stecke, K. and I. Kim. 1989. Performance Evaluation for Systems of Pooled Machines of Unequal Sizes: Unbalancing versus Balancing. European Journal of Operational Research 42 (1): 22-38.
    Suarez, F., M. Cusumano, and C. Fine. 1996. An Empirical Study of Manufacturing Flexibility in Printed Circuit Board Assembly. Operations Research 44 (1): 223-239.
    Swamidass, P. and W. Newell. 1987. Manufacturing Strategy, Environmental Uncertainty and Performance: A Path Analytic Model. Management Science 33(4): 509-524.
    Tsubone, H. and M. Horikawa. 1999. A Comparison Between Machine Flexibility and Routing Flexibility. International Journal of Flexible Manufacturing Systems 11: 83-101.
    Upton, D. 1994. The Management of Manufacturing Flexibility. California Management Review (Win): 72-89.
    Upton, D. 1995. What Really Makes Factories Flexible? Harvard Business Review (July-Aug): 74-84.
    Upton, D. 1997. Process Range in Manufacturing: An Empirical Study of Flexibility. Management Science 43 (8): 1079-1092.
    Van Zant, P. 2000. Microchip Fabrication: A Practical Guide to Semiconductor Processing. 4th Ed. McGraw-Hill.
    Vokurka, R. and S. O’Leary-Kelly. 2000. A Review of Empirical Research on Manufacturing Flexibility. Journal of Operational Management 18: 485-501.
    Description: 博士
    國立政治大學
    會計研究所
    86353504
    91
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G91NCCU0222012
    Data Type: thesis
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