• 沒有找到結果。

未來後續研究方向

第五章 最有利標之標價評審模式及其實證應用

6.3 未來後續研究方向

廣義多評準則最有利標選商決策系統包括準則項目的選擇、層級架構分析、準 則項目權重計算、廠商評估及最終廠商名次排序等之建立,雖然本研究運用改良式 AHP 方法(A3)達到準則項目層級架構分析及準則項目權重計算之目標,並且提出創 新的標價項目評審模式,但就整體最有利標選商決策而言,本研究未來後續研究方 向仍包括下列各項:

一、提出一套整合型之選商決策系統

由於一套完善的選商決策系統應該因應不同專案工程特性的需求(包括業主需 求及工程專業屬性等)而有不同的決策考量,故完整或完善的選商決策系統除了核心 的決策模型外,更應該建置方便業主(或決策者)使用之自動化選商決策系統(例如資 料庫的建置、準則項目的選擇、決策方法的選擇、廠商評估等),而本研究未來後續 的研究方向即是如何將這些關鍵性的課題透過電腦化方式整合成一套適用各類型專 案工程之最有利標選商決策系統,其主要研究課題包括:

1. 提出整合型之選商決策模型

將目前本研究視為兩個不同的決策模型(準則項目權重計算方式及標價評審 模式),結合成為一個全面且完整性之選商決策模型,該模型包括準則項目的選 擇、準則項目權重計算、廠商各準則項目之評估及選商資訊回饋等,並透過運用 之決策支援系統,將選商決策系統化,以增加整體選商之效益。

2. 其他技術性項目之評估

在廠商之評估方面,除了標價評審外,其他準則項目可採用其他評估方法,

例如運用成效式(Performance-based model)評估法來進行評估,即訂定準則項目及 次準則項目之廠商未來預期履約成效的標的,並依據每個專案的特性需求訂定未 來履約的成效指標,經由廠商投標後,透過成效指標之評準來評估投標廠商在技 術項目之預期成效。

3. 發展一套多功能之選商決策系統

配合前述各點,將蒐集目前國內工程專案類別(例如建築工程、道路工程、

河川整治工程…等)之選商特性,建置工程需求特性因子資料庫,建立網頁式 (Web-based)決策支援系統及資訊回饋機制,發展一套適用不同工程類型之多功能 選商決策系統。

二、更精進準則項目權重之計算

本研究所提出之A3方法雖然改善傳統 AHP 方法之缺點,但未來仍有下列各點 須繼續探討,以更精進準則項目權重之計算。

1. 發展網頁式(Web-based)之決策判斷系統

本研究所提出之 A3方法主要是以傳統 AHP 方法於初始階段訪調之 PWM 為基礎,因此初始訪調所需花費的人時成本及時程仍無法節省,故發展網頁式 (Web-based)之自動化系統來加速 A3方法在決策資料的蒐集,使能更精減初始資 料蒐集之人時及時程的花費。

2. 多元之群體決策

無論是公共工程或私人公司之工程,採用多評準群體選商決策方法已是必 然的方式,但要如何整合多決策者之群體決策結果,真正達到選商之目的,是 值得後續探討的重點,特別是將多元之群體決策方法應用在傳統 AHP、本研究 之A3,或其他被提出之新的選商決策模型。

3. 更多案例之驗證

模擬更多的案例來證明本研究模式在選商決策上之效益,特別是評估如何 有效選出業主所需要之優良廠商,同時再針對本研究目前所列之 3 種權重計算 方法以模擬的案例進行敏感度分析,以測試模式提出不同方法可能存在不同之 最有利標選商決策條件或潛在之決策知識(decision knowedge)。

三、更精進廠商之標價評審

本研究雖然將詳細表階層之分項工程價格納入廠商標價評審,並以價格分數轉 換方式提出一套最有利標標價評審(或評估)方法,但未來仍有下列各點須繼續探討,

以更精進廠商於審標階段之標價評審。

1. 再將資源分配或運用納入評審

本研究所提出之標價評審模式並未就投標廠商之施工法、材料設備選用及 成本控制方法等更深入探討,而這些廠商資源上之調配與運用亦會反映在分項 工程之單價中,因此為進一步瞭解標價組成之完整性及合理性,如何運用電子 標單將廠商之單價分析表階層(或資源統計量)一併納入最有利標標價評審項 目之一,亦是未來後續研究之重要課題。

2. 價格轉換分數上下限門檻值變異數之探討

本研究在分項工程價格分數轉換部分,無論是梯形或三角形模,各分項工 程價格在訂定轉換分數之上下限門檻值條件時,均假設採用相同之條件(即暫不 考量每一個分項屬性工程之特性或價格之差異性),但實務上不同的屬性工程,

在價格評估的風險、管理成本及可能的利潤分配等都會有不同的考量,這些考 量條件應適當地反映在價格轉換成分數的條件上,故每一分項工程之價格應考 量其特殊性給予不同的變異條件,而如何決定這些分項工程之價格變異數,仍 是本研究未來後續探討的課題。

參考文獻

英文文獻

(按作者名字第一個字母順序遞增排序)

1. Alarcón, L. F. and Mourgues, C., Performance modeling for contractor selection, Journal of Management in Engineering, ASCE, 18 (2), pp.52-60 (2002).

2. Al-Harbi, K. A. S., Application of the AHP in project management, International Journal of Project Management, 19, pp.19-27 (2001).

3. Alhazmi, T. and McCaffer, R., Project procurement system selection model, Journal of Construction Engineering and Management, ASCE, 126 (3), pp. 176-184 (2000).

4. Alsugair, A. M., Framework for evaluating bids of construction contractors, Journal of Management in Engineering, ASCE, 15 (2), pp. 72-78 (1999).

5. Anagnostopoulos, K. P. and Vavatsikos, A. P., An AHP model for construction contractor prequalification, Operational Research an International Journal, 6 (3), pp.218-229 (2006).

6. Balcomb, J. D. and Curtner, A., Multi-criteria decision-making process for buildings, American Institute of Aeronautics and Astronautics Conference, Las Vegas, Nevada (2000).

7. Banaitienė, N. and Banaitis, A., Analysis of criteria for contractors’ qualification evaluation, ŪKIO TECHNOLOGINIS IR EKONOMINIS VYSTYMAS, XII (4), pp.

276-282 (2006).

8. Bertolini, M., Braglia, M. and Carmignani, G., Application of the AHP methodology in making a proposal for a public work contract, International Journal of Project Management, 24, pp.422-430 (2006).

9. Boender, C., Graan, J. and Lootsma, F., Multi-criteria decision analysis with fuzzy pairwise comparisons, Fuzzy Sets and Systems, 29, pp. 133-143 (1989).

10. Brysonand, N.and Mobolurin, A., An approach to using the analytic hierarchy process for solving multiple criteria decision making problems, European Journal of

Operational Research, 76, pp.440-454 (1994).

11. Bubshalt, A. A. and Al-Goball, K. H., Contractor prequalification in Saudi Arabia, Journal of Management in Engineering, ASCE, 12 (2), pp.50-54 (1996).

12. Chan, A. H. S., Kwok, W. Y. and Duffy, V. G.., Using AHP for determining priority in a safety management system, Induction Management Data System, 104 (5), pp.430-445 (2004).

13. Chang, K. F., Chiang, C. M. and Chou, P.C., Adapting aspects of GBTool 2005- searching for suitability in Taiwan, Building and Environment, 42 (1), pp.310-316 (2007).

14. Choi, K. C. and William Ibbs, C., Costs and benefits pf computerization in design and construction, Journal of Computing in Civil Engineering, ASCE, 4 (1), pp. 91-106 (1990).

15. Cheng, E. W. L. and Li, H., Contractor selection using the analytic network process, Construction Management and Economics, 22, pp.1021-1032 (2004).

16. Cheng, E. W. L. and Li, H., Analytic network process applied to project selection, Journal of Construction Engineering and Management, ASCE, 131 (4), pp.459-466 (2005).

17. Cheung, S. O., Lam, T. I., Leung, M. Y. and Wan, Y. W., An analytical hierarchy process based procurement selection method, Construction Management and Economics, 19, pp. 427-437 (2001).

18. Cheung, S. O., Lam, T. I., Wan, Y. W. and Lam, K. C., Improving objectivity in procurement selection, Journal of Management in Engineering, ASCE, 17 (3), pp.132-139 (2001).

19. Chu, T. C., Facility location selection using fuzzy TOPSIS under group decision, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 10 (6), pp.687-701 (2002).

20. Crowley, L. G., and Hancher, D. E., Evaluation of competitive bids, Journal of Construction Engineering and Management, ASCE, 121 (2), pp.238-245 (1995).

21. Dyer, R. F. and Forman, E. H., Group decision support with the analytic hierarchy process, Decision Support Systems, 8, pp.99-124 (1992).

22. Ellis, R. D. and Herbsman, Z. J., Cost-time bidding concept: an innovative approach, Transportation Research Record, 1282, pp.89-94 (1992).

23. El-Sawalhi, N., Eaton, D. and Rustom, R., Contractor pre-qualification model:

State-of-the-art, International Journal of Project Management, 25 (5), pp. 465-474 (2007).

24. Fong, S. W. and Choi, K. Y., Final contractor selection using the analytical hierarchy process, Construction Management and Economics, 18, pp.547-557 (2000).

25. Goldberg, D., Genetic Algorithm in Search, Optimization, and Machine Learning, Addison-Wesley Publishing, NY, 1989.

26. Hampton, D., Procurement issues, Journal of Management in Engineering, ASCE, 10 (6), pp.45-49 (1994).

27. Hastak, M., Advanced automation or conventional construction process, Automation in Construction, 7 (4), pp.299-314 (1998).

28. Hastak, M. and Halpin, D. W., Assessment of life-cycle benefit-cost of composites in construction, Journal of Composites in Construction, 4 (3), pp.103-111 (2000).

29. Hatush, Z. and Skitmore M., Contractor selection using multicriteria utility theory: an additive model, Building and Environment, 33 (2), pp.105-115 (1998).

30. Hegazy, T., Optimization of Resource Allocation and Leveling Using Genetic Algorithms, Journal of Construction Engineering and Management, ASCE, 125 (3), pp. 167-175 (1999).

31. Herbsman, Z. J., A+B bidding method – hidden success story for highway construction, Journal of Construction Engineering and Management, ASCE, 121 (1), pp.430-437 (1995).

32. Herbsman, Z. J., Chen, W. T. and Epstein, W. C., Time is money: innovative contracting methods in highway construction, Journal of Construction Engineering and Management, ASCE, 121 (3), pp.273-281 (1995).

33. Herbsman, Z. J. and Ellis, R. D., Multi-parameter bidding system – innovation in contract administration, Journal of Construction Engineering and Management, ASCE, 118 (1), pp.142-150 (1992).

34. Hirano, S., Tsumoto, S., Okuzaki, T., Hata, Y. and Tsumoto, K., Analysis of biochemical data aided by a rough sets-based clustering technique, International Journal of Fuzzy Systems, 4 (3), pp.759-765 (2002).

35. Holland, J. H., Adaptation in natural and artificial systems, The University of Michigan Press, Ann Arbor, Michigan, 1976.

36. Holguín-Veras, J., Comparative Assessment of AHP and MAV in Highway Planning:

Case Study, Journal of Transportation Engineering, ASCE, 121 (2), pp. 191-200 (1995).

37. Holt, G. D., Olomolaiye, P. O. and Harris, F. C., A Review of Contractor Selection Practice in the U.K. Construction Industry, Building and Environment, 30 (4), pp.553-561 (1995).

38. Holt, G. D., Olomolaiye, P. O. and Harris, F. C., Applying multi-attribute analysis to contractor selection decisions, European Journal of Purchasing and Supply Management, 1 (3), pp.139-148 (1994).

39. Holt, G. D., Olomolaiye, P. O. and Harris, F. C., Evaluating prequalification criteria in contractor selection, Building and Environment, 29(4), pp. 437-448 (1994).

40. Holt, G. D., Olomolaiye, P. O. and Harris, F. C., Factors influencing UK construction clients choice of contractors, Building and Environment, 29(2), pp. 241-248 (1994).

41. Holt, G. D., Olomolaiye, P. O. and Harris, F. C., Evaluating performance potential in the selection of construction contractors, Engineering, Construction and Architectural Management , 1(1), 29-50 (1994).

42. Holt, G. D., Which contractor selection methodology, International Journal of Project Management, 16 (3), pp.153-164 (1998).

43. Holt, G. D., Applying cluster analysis to construction contractor classification, Building and Environment, 31 (6), pp. 557-568 (1996).

44. Hong Kong Housing Authority, PASS. Performance Assessment Scoring System, Housing Department, Hong Kong Housing Authority (1994).

45. Hsieh, T. Y., Lu, S. T. and Tzeng, G. H., Fuzzy MCDM approach for planning and design tender selection in public office buildings, International Journal of Project Management, 22, pp.573-584 (2004).

46. Ioannou, P. G., and Leu, S. S., Average-bid method—Competitive bidding strategy, Journal of Construction Engineering and Management, ASCE, 119 (1), pp.131-147 (1993).

47. Jaffray, J. Y., Some experimental findings on decision making under risk and their implications, European Journal of Operation Research, 38 (3), pp.301-306 (1989).

48. Kahraman, C., Cbeci, U. and Ulukan, Z., Multi-criteria supplier selection using fuzzy AHP, Logistics Information Management, 16 (6), pp.382-394 (2003).

49. Keeney, R. and Raiffa, H., Decision with Multiple Objectives: Preferences and Value Tradeoffs, Wiley, NY, 1976.

50. Kumaraswamy, M. M., Contractor evaluation and selection: a Hong Kong perspective, Building and Environment, 31 (3), pp.273-282 (1996).

51. Lai, K. K., Liu, S. L. and Wang, S. Y., A method used for evaluating bids in the Chinese construction industry, International Journal of Project Management, 22, pp.

193-201 (2004).

52. Lakoff, G., Hedges: a study in meaning criteria and the logic of fuzzy concepts, Journal of Philosophical Logic, Springer Netherlands 2, pp.234-281 (1977).

53. Lamata, M. T. and Pelaez, J. I., A method for improving the consistency of judgements, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems , 10(6), pp.677-686 (2002).

54. Lambert, J., The fuzzy set membership problem using the hierarchy decision method, Fuzzy Sets and Systems, 48, pp.323-330 (1992).

55. Leu, S. S., and Yang, C. H., GA-Based Multicriteria Optimal Model for Construction Scheduling, Journal of Construction Engineering and Management, ASCE, 125 (6),

pp. 420-427 (1999).

56. Li, Y., Chen, S. and Nie, X., Fuzzy pattern recognition approach to construction contractor selection, Fuzzy Optimization and Decision Making, 4 (2), pp.103-118 (2005).

57. Li, Y., Nie, X. and Chen, S., Fuzzy approach to prequalifying construction contractors, Journal of Construction Engineering and Management, ASCE, 133 (1), pp.40-49 (2007).

58. Lin, C. C., Wang, W. C. and Yu, W. D., Improving AHP for construction with an Adaptive AHP Approach (A3), Automation in Construction, 17, pp. 180-187 (2008).

59. Lin, C. C., Wang, W. C. and Yang, J. B., Evaluating bid item prices to support contractor selection – a case study, Journal of the Chinese Institute of Engineers, 30 (4), pp. 765-771 (2007).

60. Lo, W., Chao, C. H., Hadavi, A. and Krizek, R., Contractor selection process for Taipei Mass Rapid transit system, Journal of Management in Engineering, ASCE, 14 (3), pp.57-65 (1998).

61. Louw, W. J. A., Kok, M. C. and Sanderson, C., Contractor selection: a quantitative, consensus-friendly, transparent and objective method, Southern African Forestry Journal, 206(1), pp.35-42 (2006).

62. Lu, J., Zhang, G. and Wu, F., Web-based multi-criteria group decision support system with linguistic term processing function, IEEE Intelligent Informatics Bulletin, 5 (1), pp.3543 (2005).

63. Mahdi, I. M., Riley, M. J., Fereig, S. M. and Alex, A. P., A multi-criteria approach to contractor selection, Engineering Construction and Architectural Management, 9 (1), pp.29-37 (2002).

64. Mitra, S. and Hayashi, Y., Neuro-fuzzy rule generation: survey in soft computing framework, IEEE Transactions on Neural Networks, 11, pp.748-768 (2000). (A3) 65. Palaneeswaran, E., Ng, S. T., Kumaraswamy, M. and Chan, W. H. K., Analytic

hierarchy process based supplier selection framework for construction contractors,

The Construction and Building Research Conference of the Royal Institution of Chartered Surveyors, London (2006).

66. Palaneeswaran, E. and Kumaraswamy, M. M., Contractor selection for Design-Build projects, Journal of Construction Engineering and Management, ASCE, 126 (5), pp.331-339 (2000).

67. Palaneeswaran, E. and Kumaraswamy, M. M., Web-based client advisory decision support system for design-builder prequalification, Journal of Computing in Civil Engineering, ASCE, 19 (1), pp.69-82 (2005).

68. Pongpeng, J. and Liston, J., TenSeM: a multicriteria and multidecision-makers model in tender evaluation, Construction Management and Economics, 21, pp. 21-30 (2003).

69. Potter, K. J. and Sanvido, V., Design-building prequalification system, Journal of Management in Engineering, ASCE, 10 (2), pp.48-56 (1994).

70. Purushottam, S. G., Rationale of contract awards and contract system, Journal of the Construction Division, .106 (4), pp.507-518 (1980).

71. Russell, J. S. and Skibniewski, M. J., Decision criteria in contractor prequalification, Journal of Management in Engineering, ASCE, 4(2), pp. 148-164 (1988).

72. Russell, J. S. and Skibniewski, M. J., QUALIFIER-1: contractor prequalification model, Journal of Computing in Civil Engineering, ASCE, 4(1), pp. 77-90 (1990).

73. Russell, J. S., Skibniewski, M. J. and Cozier, D. R., QUALIFIER-2: knowledge based system for contractor prequalification, Journal of Construction Engineering and Management, ASCE, 116(1), pp. 115-169 (1990).

74. Russell, J. S., Decision analysis framework for evaluating highway contractors, Transportation Research Record, 1282, pp. 66-75 (1990).

75. Russell, J. S. and Jaleskis, E. J., Quantitative study of contractor evaluation programs and their impact, Journal of Construction Engineering and Management, ASCE, 118(3), pp. 621-624 (1992).

76. Russell, J. S., Decision model for analysis and evaluation of construction contractors, Construction Management and Economics, 10(3), pp. 185-202 (1992).

77. Russell, J. S., Hancher, D. E. and Skibniewski, M. J., Contractor prequalification data for construction owners, Construction Management and Economics, 10(2), pp.

117-135 (1992).

78. Saaty, T. L., Exploring the interface between the hierarchies, multiple objectives and the fuzzy sets, Fuzzy Sets and Systems, 1, pp.57-68 (1978).

79. Saaty, T. L., The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation, McGraw-Hill, NY, 1980.

80. Salem Hiyassat, M.A., Construction bid price evaluation, Canadian Journal of Civil Engineering, 28 ( 2), pp. 264-270 (2001).

81. Shapira, A. and Goldenberg, M., AHP-based equipment selection model for construction projects, Journal of Construction Engineering and Management, ASCE, 131 (12), pp.1263-1273 (2005).

82. Shen, L., Drew, D. and Zhang, Z., Optimal bid for price-time bid parameter construction contracts, Journal of Construction Engineering and Management, ASCE, 125 (3), pp.204-209 (1999).

83. Shiau, Y. C., Tsai, T. P., Wang, W. C. and Huang, M. L., Use Questionnaire and AHP Techniques to Develop Subcontractor Selection System, International Symposium on Automation and Robotics in Construction, 19th (ISARC). National Institute of

83. Shiau, Y. C., Tsai, T. P., Wang, W. C. and Huang, M. L., Use Questionnaire and AHP Techniques to Develop Subcontractor Selection System, International Symposium on Automation and Robotics in Construction, 19th (ISARC). National Institute of