跳到主要內容

簡易檢索 / 詳目顯示

研究生: 王小龍
Morris H. L. Wang
論文名稱: 公共建設專案現金管理與控制之研究
Cash Management and Control for Infrastructure
指導教授: 謝定亞
Ting-Ya Hsieh
陳介豪
Jieh-Haur Chen
口試委員:
學位類別: 博士
Doctor
系所名稱: 工學院 - 土木工程學系
Department of Civil Engineering
畢業學年度: 93
語文別: 中文
論文頁數: 134
中文關鍵詞: 公共建設專案現金管理與控制Takagi-Sugeno模糊理論S-curve迴歸模型修訂Miller-Orr模型目標現金餘額
外文關鍵詞: Infrastructure, Cash management and control, T-S fuzzy model, S-curve regression model, Revised Miller-Orr model, Target cash balance
相關次數: 點閱:12下載:0
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 摘 要
    為求瞭解公共建設專案投標期與履約施工期間之短期財務需求,並發展一套容易理解、能被靈活應用的專案現金管理與控制模型,提供營造業承包商實務應用於專案現金管理與控制之參考,以提升其營運資金管理效能(尤其是現金管理部份),從而控管資金成本以增加營運利益,本研究以公共建設專案作為研究標的,經由收集42筆公共建設標案之估驗計價財務資料(包括20筆捷運工程標案、14筆公路建設標案及8筆公共建築標案)進行相關研討。
    首先,應用Takagi-Sugeno模糊理論建立大型專案之S-curve迴歸模型,得出一六階多項式S曲線模型,繼而應用現金週期概念,推估分析專案履約執行時之現金流量圖形,以瞭解其執行過程中之短期財務需求,增進對現金管理問題的瞭解,再經由修訂Miller-Orr現金管理模型,發展出一套彈性雙限目標現金餘額模型,作為業界實務應用及後續研究之參考。
    模型應用分析具備簡易靈活特性,所有計算可於試算表軟體(如EXCEL)中完成,承包商實務應用時可先以S曲線模型預覽專案執行前之現金分布與需求數量,工程進行中再以實際發生之專案現金流量數據進行更新與修正,並依據模型現金預測結果預做資金調度之準備。


    Abstract
    In contracting business, construction firms are generally more concerned with short-term financial strategies than long-term ones. Working capital management is the central issue of all short-term financial concerns. More importantly, cash management is ultimate goal for achieving high liquidity and profitability. This study presented the cash portion of working capital management by using the concept of target cash balance and developed a practical model for construction firms in Taiwan for rationalizing the amount of cash and current assets which should be possessed in any point of duration.
    Because the S-curve has unique merits to represent the relationship between project duration and complete progress in practical usage of construction management, based on the technique of Takagi-Sugeno (T-S) fuzzy model, a six orders multinomial fuzzy S-curve regression is hereby constructed in this study. The model developed by Miller and Orr is introduced here for understanding the issues involved. According to the project cash flow and progress payment records of example projects, this model are demonstrated here. All the calculations can be finished in the spreadsheet software (such as EXCEL) and tentative conclusions concerning the model are given.

    目 錄 頁碼 中文摘要...................... I 英文摘要...................... II 致謝........................ III 目錄........................ IV 圖目錄...................... VII 表目錄....................... IX 第一章 緒論 1-1 背景與動機 .................. 1 1-1-1 公共建設與營造業特性.......... 2 1-1-2 營造業現金管理.............. 5 1-1-3 研究動機................. 7 1-2 研究目的................... 8 1-3 研究範圍與限制................ 8 1-4 研究方法................... 9 1-4-1 研究假說................. 9 1-4-2 研究流程................. 9 1-5 論文組織................... 13 第二章 文獻回顧 2-1 專案現金流量與S曲線............. 14 2-2 營運資金管理................. 19 2-3 模糊集合理論................ 20 2-3-1 模糊理論之應用............. 21 2-3-2 模糊數學集............... 24 2-3-3 Takagi-Sugeno模型與模糊迴歸分析.... 26 2-4 現金管理模型................. 27 第三章 數據特性與初步分析 3-1 樣本資料來源與收集.............. 35 3-2 樣本數據特性.................. 37 3-3 樣本現金流入初步分析............. 45 第四章 專案現金控管模型 4-1 S曲線回歸.................. 50 4-1-1模糊集合理論.............. 50 4-1-2 T-S 模糊S曲線模型............ 53 4-2 現金控管................... 59 4-2-1 一般概念................. 59 4-2-2 現金週期................. 61 4-2-3 現金流量................. 63 4-2-4 修訂Miller-Orr模型............ 64 4-3 專案現金控管模型............... 67 第五章 模型驗證與應用 5-1 模型實務應用................. 68 5-2 研究假說驗證................. 72 5-3 S曲線模型之驗證................ 76 5-4 現金流量計算之驗證.............. 78 5-5 現金管理與控制之驗證............. 81 5-6 現金預測之驗證................ 86 第六章 結論與建議 6-1 結論..................... 90 6-2 討論與建議.................. 92 6-3 研究貢獻................... 94 6-4 後續研究建議................. 95 參考文獻...................... 96 附錄A. 模糊迴歸S曲線程式碼............ 105 附錄B. 專案觀測數據................. 109 附錄C. 模型驗證與應用附圖............. 112 附錄D. 研究假說驗證資料............. 132

    1. Abel, D. (1991) Fuzzy Control - eine Einfiihrung ins Unscharfe. Automatisierungstechnik, vol. 39, No. 12, pp. 433-438.
    2. Akaiwa, E. (1990) “Hardware and software of fuzzy logic controlled cardiac pacemaker,” Proceedings of the First International Conference on Fuzzy Logic and Neural Networks, lizuka, Japan, pp. 549-552.
    3. Altrock, C., Krause, B., Zimmermann, H. J. (1992) “Advanced fuzzy logic control of a model car in extreme situations,” Fuzzy Sets and Systems, vol. 48, No. 1, pp. 41-52.
    4. Andrzej, P. (2001) Fuzzy Modeling and Control. Physica-Verlag, Aspringer-Verlag Company. New York
    5. Aoki, S., Kawachi S. (1990) “Application of fuzzy control for dead-time processes in a glass melting furnace,” Fuzzy Sets and Systems, vol. 38, No. 5, pp. 251-256
    6. Arita, S., Tsutsui, T. (1990) “Fuzzy logic control of blood pressure through inhalational anesthesia,” Proceedings of the First International Conference on Fuzzy Logic and Neural Networks, lizuka, Japan, pp. 545-547
    7. Arita, S. (1991) “Development of an ultrasonic cancer diagnosis system using fuzzy theory,” Japanese Journal of Fuzzy Theory and Systems, vol. 3, No. 3, pp. 215-230
    8. Ashe, J. (2000) “THE WORKING CAPITAL EXPERIENCE: Ten Years of Lending and Learning,” Brandeis University
    9. Assilian, S. (1974) Artificial intelligence in the control of real dynamical systems. Ph.D. Thesis, London University
    10. Babuska R., Verbruggea H.B. (1995a) A new identification method for linguistic fuzzy models. Proceedings of the international conference FUZZ-IEEE/IFES''95. Yokohama, Japan, pp. 905-912
    11. Babuska R. (1995b) Fuzzy modeling a control engineering perspective Proceedings of the international Conference FUZZ-IEEE/IFES''95 Yokohama, Japan, pp. 1897-1902
    12. Baldwin J.F. (1995a) Fril method for soft computing, fuzzy control and classification. Proceedings of the International Conference FUZZ-IEEE/IFES''95, vol. 1. Yokohama, Japan, pp. 309-316
    13. Baldwin J.F., Martin T P. (1995b) Fuzzy modeling in an Intelligent Data Browser. Proceedings of the International Conference FUZZ-IEEE/IFES''95, vol. 4. Yokohama, Japan, pp. 1885-1890
    14. Bellon, C., Bosc, P., Prade, H. (1992) “Fuzzy boom in Japan,” International Journal of Intelligent Systems, No. 7, pp. 393-316.
    15. Bezdek J.C. (1981) Pattern recognition with fuzzy objective function algorithms. New York: Plenum Press
    16. Bezdek J.C., Ehrilch R., Full W. (1984) FCM; the fuzzy c-means clustering algorithm. Computer and Geosciences, No. 10, pp. 191-203
    17. Bezdek J.C. (1993) Editorial. Fuzzy models-what are they, and why? IEEE Transactions on Fuzzy Systems, vol. 1, No. 1, pp. 1-6
    18. Bien, Z., Hwang, D.H., Lee, J.H., Ryu, H.K. (1992) “An automatic start-up and shutdown control of a drum-type boiler using fuzzy logic,” Proceedings of the Second International Conference on Fuzzy Logic and Neural Networks, lizuka, Japan, pp. 465-468.
    19. Brawn M., Ullrich T. (1997) Comparison of node insertion algorithms for Delaunay networks. Proceedings of the IMACS 2nd Mathmod Conference. Vienna, Austria, pp. 775-780
    20. Brown M., Harris C. (1994) Neuro-fuzzy adaptive modelling and control. Preutice Hall, New York, USA
    21. Brown M., Bossley K.M., Mills D.J., Harris C.J. (1995a) High dimensional neurofuzzy systems: overcoming the curse of dimensionality. Proceedings of the International Conference FUZZ-IEEE/IFES''95. Yokohama, Japan. pp. 2139-2146
    22. Brown M., An P.E., Harris G.J. (1995b) On the condition of neuro-fuzzy models. Proceedings of the International Conference FUZZ-IEEE/IFES''95, vol. 2. Yokohama, Japan, pp. 663-670
    23. Bubshalt, A.A. and Al-Gobali, K.H., (1996) “Contractor Prequalification in Saudi Arabia,” Journal of Management in Engineering, ASCE, Vol.12, No.2, pp.50-54.
    24. Chen, H., Mitzumoto, M., Ling, Y. F. (1992) “Automatic control of wewerege pumpstation by using fuzzy controls and neural networks,” Proceedings of the second International Conference on Fuzzy Logic and Neural Networks. Iizuka, Japan, pp. 91-94
    25. Deloof, M. (2001) “Does Working Capital Management Affect Profitability of Belgian Firms?” Working Papers, University of Antwerp
    26. Driankov, D., Hellendoorn, H., Reinfrank, M. (1993) An introduction to fuzzy control Berlin: Springer-Verlag
    27. Edum-Fotwe, F., Price, A. and Thorpe, A., (1996) “A review of financial ratio tools for contractor insolvency,” Construction Management and Economics, 14, pp.189-198.
    28. Fijiwara, Y. (1991) “Image processing using fuzzy logic for video print systems,” Proceedings of the International Conference IFES''91, vol. 2. Tokyo, Japan, pp. 1003-1012.
    29. Fujimoto, J., Nakatani, T., Yoneyama, M. (1989) “Speaker-independent word recognition using fuzzy pattern matching,” Fuzzy Sets and Systems, vol. 32, No. 7, pp. 181-191.
    30. Fujiyoshi, M., Shiraki, T. (1992) “A fuzzy automatic combustion control system of refuse incineration plant,” Proceedings of the Second International Conference on Fuzzy Logic and Neural Networks, lizuka, Japan, pp. 469-472.
    31. Guney, Y, Ozkan, A. and Ozkan, N, (2003) “Additional International Evidence on Corporate Cash Holdings" EFMA 2003 Helsinki Meetings. (http://ssrn.com/abstract=406721 )
    32. Hakata, T., Masuda, J. (1990) “Fuzzy control of cooling system utilizing heat storage,” Proceedings of the First International Conference on Fuzzy Logic and Neural Networks, lizuka, Japan, pp. 77-80.
    33. Hanakuma, Y. (1989) “Ethylen plant destination column bottom temperature control,” Keisi, vol 32, No. 8, pp. 28-39.
    34. Hassim, S., Kadir, M. R. A., Lew, Y.-L. and Sim, Y.-C. (2003) “Estimation of Minimum Working Capital for Construction Projects in Malaysia,” Journal of Construction Engineering and Management, Vol. 129, No. 4, July/August, pp. 369-374
    35. Hishida, N. (1992) “Development of the operator support system applying fuzzy algorithms for glass tube molding equipment,” Proceedings of the Second International Conference on Fuzzy Logic and Neural Networks, lizuka, Japan, pp. 1097-1100.
    36. Hiyama, T., Sameshima, T. (1991) “Fuzzy logic control scheme for on-line stabilisation of multi-machine power system,” Fuzzy Sets and Systems, vol. 39, pp. 181-194.
    37. Homonoff, R. B. (1972) “Cash management: applications and extensions of the Miller-Orr control limit approach,” Master Thesis
    38. Hung T., Sugeno M., Tong R., Yager R.R. (1995) Theoretical aspects of fuzzy control. New York- John Wiley and SODS Inc.
    39. Hwee, N. G., Tiong, R. L. K. (2002) “Model on cash flow forecasting and risk analysis for contracting firms,” International Journal of Project Management, 20 , 351–363.
    40. Kacprzyk J. (1977) Control of a nonfuzzy systems in a fuzzy environment with a fuzzy termination time. Systems Science, No. 3, pp. 320-334
    41. Kageyama, S. (1990) “Blood glucose control by a fuzzy control system,” Proceedings of the First International Conference on Fuzzy Logic and Neural Networks, lizuka, Japan, pp. 557-560.
    42. Kahlert J. (1995) Fuzzy Control fur Ingenieure. Vieweg Verlag. Braunschweig, Germany
    43. Kaka, A., P., (1994) “Contractors’ financial budgeting using computer simulation,” Construction Management and Economics, 12, pp.113-124.
    44. Kandel A., Langbolz G. (1994) Fuzzy Control Systems. London: CRC Press
    45. Kaufmaim A., Gupta M. (1985) Introduction to fuzzy arithmetic-theory and applications. New York: Van Nostrand Remhold
    46. Kawai, H. (1990) “Engine control system,” Proceedings of the First International Conference on Fuzzy Logic and Neural Networks, lizuka, Japan, pp. 929-937.
    47. Kitamura, T. (1991) “Design of intelligent support system for artificial heart control,” Japanese Journal of Fuzzy Theory and Systems, vol. 3, No. 3, pp. 231-240
    48. Kruse, R., Gobhard J., Klawona F. (1994) Foundations of Fuzzy Systems. New York: John Wiley and Sons
    49. Kuhn, T., Wernstedt J. (1996) Robust design of fuzzy control. Proceedings of the International Conference EUFIT''96, vol. 2. Aachen, Germany, pp. 970-973
    50. Kytönen, E. (2004) “CASH MANAGEMENT BEHAVIOR OF FIRMS AND ITS STRUCTURAL CHANGE IN AN EMERGING MONEY MARKET,” University of Oulu, Finland
    51. Lee, K.C., Min, S.S., Song, J.W., Cho, K.B. (1992) “An adaptive fuzzy current controller with neural network for field-oriented controlled induction machine,” Proceedings of the Second International Conference on Fuzzy Logic and Neural Networks, lizuka, Japan, pp. 449-452
    52. Lo, N. (2005) “GO WITH THE FLOW: For the top tier of performers in this year’s ranking, the challenge is keeping working capital cool as markets get hot,” THE MAGAZINE FOR FINANCIAL DIRECTORS AND TREASURERS, http://www.cfoasia.com/archives/200503-02.htm
    53. Mamdani, E.H. (1997) “Application of fuzzy logic to approximate reasoning using linguistic synthesis,” IEEE Transactions on Computers, vol. C-26, No. 12, pp. 1182-1191.
    54. Miskawi, Z., (1989) “An S-curve equation for project control,” Construction Management and Economics, 7, pp.115-124.
    55. Murakami, S. (1989) “Weld-line tracking control of arc welding robot using fuzzy logic controller,” Fuzzy Sets and Systems, 1989, vol. 32, pp. 221-237.
    56. Neves, J. C.and Valadas, J. (2005) “Cash cycle management, profitability and size: An empirical study onPortuguese companies,” 28th Annual Congress of the European Accounting Association,Gothenburg, pp18-20.
    57. Nguyen T.H., Sugeno M., Tong R., Yager R.R. (1995) Theoretical aspects of fuzzy control. New York: John Wiley and Sons, Inc.
    58. Ohnishi, T. (1991) “A self-learning fuzzy control system for an urban refuse incineration plant,” Japanese Journal of Fuzzy Theory and Systems, vol. 3. No. 2, pp. 187-200.
    59. Opler, T., Pinkowitz, L., Stulz, R., Williamson, R. (1999) “The determinants and implications of corporate cash holdings,” Journal of Financial Economics ,52 ,pp. 3-46
    60. Ozkan, A. and Ozkan, N. (2004) “Corporate cash holdings: An empirical investigation of UK companies,” Journal of Banking & Finance, 28, pp. 2103–2134.
    61. Pedrycz W. (1993) Fuzzy control and fuzzy systems. New York: John Willey and Sons 238. Pedrycz W. (1995) Fuzzy control engineering: reality and challenges. Proceedings of the International Conference FUZZ-IEEE/IFES''95, vol. 1. Yokohama, Japan, pp. 437-446.
    62. Pedrycz W. (1996) Fuzzy multi-models. IEEE Transactions on Fuzzy Systems, vol. 4, No. 2, pp. 139-148.
    63. Pricewaterhousecoopers, LTD. (2004)“As active Working Capital management increases the performance: Results of a long-term analysis (1997-2002) with boersenkotierten enterprises in Switzerland ,” http://www.pricewaterhousecoopers.co.uk/ch/ger/ins-sol/survey-rep/download/pwc_0604_wcm_d.pdf
    64. Ruoning, X., (1997) “S-curve regression model in fuzzy environment,” Fuzzy Set and System, 90, pp.317-326.
    65. Russell, J.S. and Skibniewwski, M.J., (1988) “Decision Criteria in Contractor Prequalification,” Journal of Management in Engineering, ASCE, Vol.4, No.2, pp.148-164.
    66. Sugiura T. (1991) “Fuzzy control of a rate-adaptive cardiac pacemaker with multiple indicators,” Japanese Journal of Fuzzy Theory and Systems, vol. 3, No. 3, pp. 241-249.
    67. Roffel, B., Chin, P.A. (1991) “Fuzzy control of a polymerization reactor,” Hydrocarbon Processing, No. 6, pp. 47-50.
    68. Sasaki T., Akiyama T. (1988) Traffic control process of expressway by fuzzy logic. Fuzzy Sets and Systems, vol. 26, pp. 165-178.
    69. Takagi T., Sugeno M. (1985) “Fuzzy identification of systems and its applications to modeling and control.” IEEE Transactions on Systems, Man and Cybernetics, vol. 15, No. 1, pp. 116-132.
    70. Takahashi, M. (1990) “Biomedical applications of fuzzy logic controllers,” Proceedings of the First International Conference on Fuzzy Logic and Neural Networks, vol. 1. lizuka, Japan, pp. 553-556.
    71. Tarawneh, S. A. (2004) “Evaluation of Pre-qualification Criteria: Client Perspective; Jordan Case Study,” Journal of Applied Sciences 4 (3): pp.354-363.
    72. Tobi, T., Hanaflisa, T. (1991) “A practical application of fuzzy control for an air-conditioning system,” International Journal of Approximate Reasoning, No. 5, pp. 331-348.
    73. Wang, H.O., TanakaK, Griffin M. (1996) An approach to fuzzy control of nonlinear system: stability and design issues. IEEE Transaction on Fuzzy Systems, vol. 4, No. I, pp. 14-23
    74. Wang L.X (1994a) Adaptive fuzzy systems and control, design and stability analysis. Englewood Cliff''s: Prentice Hall
    75. Wang L.X. (1994b) A supervisory controller for fuzzy control systems that guarantees stability. IEEE Transactions on Automatic Control, vol. 39, No. 9, pp. 1845-1847
    76. Wang L.X. (1995a) Design and analysis of fuzzy identifiers of nonlinear dynamic systems. IEEE Transactions on Automatic Control, vol. 40, No. 1. pp. 11-23
    77. Wang L.X., Jordan J.R. (1995b) The robust step performance of PID and fuzzy logic controlled SISO systems. Proceedings of the International Conference FUZZ-IEEE/IFES''95, vol. 1. Yokohama, Japan, pp. 325-330
    78. Watanabe, T. (1990) “Al and fuzzy-based tunnel ventilation control system,” Proceedings of the First International Conference on Fuzzy Logic and Neural Networks, vol. 1. lizuka, Japan, pp. 71-75
    79. Watanabe, T., Ichihashi, H. (1991) “Iterative fuzzy modeling using membership function of degree n and its application to crane control,” Japanese Journal on Fuzzy Theory and Systems, vol. 3, No. 2, pp. 173-186
    80. Yager, R.. Filev, D. (1994) Essentials of fuzzy modeling and control. New York: John Wiley and SODS
    81. Yamashita, R., Yamakawa, T. (1992) “Application of fuzzy control to a localized cleanroom.” Proceedings of the Second International Conference on Fuzzy Logic and Neural Networks, lizuka, Japan, pp. 1101-1102.
    82. Yu, C., Cao, Z., Kaudel, A. (1990) “Application of fuzzy reasoning to the control of an activated sludge plant.” Fuzzy Sets and Systems, vol. 38, No I, pp. 1-14.
    83. Zadeh, L.A. (1965) “Fuzzy sets,” Information and Control, vol. 8, pp. 338-353.
    84. Zadeh, L.A. (1973) “Outline of a new approach to the analysis of complex systems and decision processes” IEEE Transactions on Systems, Man and Cybernetics, vol. 3, pp. 28-44.
    85. Zimmerman, H. J. (1994) Fuzzy set theory and its applications, London. Kluwer Academic Publishers
    86. 石東生、謝俊明(2000),「泥水工職業性皮膚病調查研究與改善對策」,中華公共衛生雜誌,第十九卷第六期。
    87. 朱凌毅(2005),從財務分析觀點研究2004年營造產業經營管理,財團法人中華民國營造業研究發展基金會(http://www.cifrd.org.tw/research/download/94052303.pdf)
    88. 沈景鵬(2003),”土木工程產業發展策略”,土木水利半月集,第七十三集(http://www.ciche.org.tw/semimonth/vol73.htm)

    QR CODE
    :::