مدل ارزیابی پیچیدگی پروژه‌های ساخت‌ و ساز بزرگ در ایران - رویکرد ANP فازی

نوع مقاله : علمی - پژوهشی

نویسندگان

1 استادیار، دانشگاه تهران

2 دانشجوی کارشناسی‌ارشد مدیریت صنعتی، دانشگاه تهران

چکیده

پروژه‌های ساخت ‌و ساز همواره پیچیده هستند. همراه با افزایش پیچیدگی پروژه‌های بزرگ ساخت ‌و ساز، مشکلات مربوط به اجرای این پروژه‌ها نیز افزایش می‌یابد. درک درستی از پیچیدگی این نوع پروژه‌ها و ارزیابی آنها از اهمیت قابل ‌توجهی برخوردار است. ارزیابی پیچیدگی پروژه می‌تواند منبعی فراهم آورد که تصمیم‌گیرندگان و مدیران مربوطه از آن بهره گیرند. فرآیند تحلیل شبکه‌ای فازی رویکردی منطقی و سیستماتیک برای شناسایی، ارزیابی و رتبه‌بندی است. این روش اجازه تحلیل سیستم‌های پیچیده و تعیین پیچیدگی سیستم‌های پروژه را می‌دهد. در این پژوهش با استفاده از فرآیند تحلیل شبکه‌ای فازی، شاخص‌های مؤثر در ایجاد پیچیدگی پروژه‌های مربوط به ساخت ‌و سازهای بزرگ در ایران شناسایی و اولویت‌بندی شده‌اند. نتایج نشان داد شاخص‌های پیچیدگی اجتماعی- سیاسی، پیچیدگی وابستگی پروژه و پیچیدگی فنی اولویت‌های اول تا سوم را دارند. همچنین سه پروژه‌ بزرگ تجاری-اداری، بیمارستانی و برج‌های بلند از لحاظ پیچیدگی مورد مقایسه قرار گرفتند و پروژه بیمارستانی پیچیده‌ترین پروژه ارزیابی شد. این مدل برای افراد حرفه‌ای در مدیریت پروژه‌های بزرگ مفید خواهد بود.

کلیدواژه‌ها


عنوان مقاله [English]

Evaluation model of project complexity for large-scale construction projects in Iran - A Fuzzy ANP approach

نویسندگان [English]

  • Aliyeh Kazemi 1
  • Sepideh Afshari 2
1 Assistant professor, Department of industrial management, University of Tehran
2 MSc student in industrial Management, Department of industrial management, University of Tehran
چکیده [English]

Construction projects have always been complex. By growing trend of this complexity, implementations of large-scale constructions become harder. Hence, evaluating and understanding these complexities are critical. Correct evaluation of a project complication can provide executives and managers with good source to use. Fuzzy analytic network process (ANP) is a logical and systematic approach toward defining, evaluation, and grading. This method allows for analyzing complex systems, and determining complexity of them. In this study, by taking advantage of fuzzy ANP, effective indexes for development of complications in large-scale construction projects in Iran have been determined and prioritized.
The results show socio-political, project system interdependencies, and technological complexity indexes ranked top to three. Furthermore, in comparison of three main huge projects: commercial-administrative, hospital, and skyscrapers, the hospital project had been evaluated as the most complicated. This model is beneficial for professionals in managing large-scale projects.

کلیدواژه‌ها [English]

  • Evaluation of complexity
  • project management
  • Large-scale construction projects
  • Multi attribute decision making
  • Fuzzy analytic network process
[1] Sinha, S., Kumar, B. and Thomson, A.; “Measuring project complexity: a project manager’s tool”; Architecture Engineering and Design Management 2 (2006) 187-202.
[2] Kennedy, D.M., McComb, S.A. and Vozdolska, R.R.; “An investigation of project complexity's influence on team communication using Monte Carlo simulation”; Journal of Engineering and Technology Management 28 (2011)109–127.
[3] Thomas, J. and Mengel, T.; “Preparing project managers to deal with complexity — advanced project management education”; International Journal of Project Management 26 (2008) 304–315.
[4] Maylor, H., Vidgen, R. and Carver, S.; “Managerial complexity in project-based operations: a ground model and its implications for practice”, Project Management Journal 39 (2008) 15-26.
[5] Morel, B. and Ramanujam, R.; “Through the looking glass of complexity: the dynamics of organizations as adaptive and evolving systems”; Organization Science 10 No 3 (1999) 278–293.
[6] Baccarini, D.; “The Concept of Project Complexity – A Review”; International Journal of Project Management 14 No 4 (1996) 201-204.
[7] Edmonds, B.; “Syntactic measures of complexity”; Thesis of the University of Manchester for the degree of doctor of philosophy in the faculty of arts. (1999)
[8] Marle, F.; Vidal, L.; Bocquet, J.; “Measuring project complexity using the Analytic Hierarchy Process”; International Journal of Project Management 29 (2011) 718-727.
[9] Austin, S., Newton, A., Steele, J. and Waskett, P.; “Modelling and managing project complexity”; International Journal of Project Management 20 (2002) 191–198.
[10] Vidal, L.A. and Marle, F.; “Understanding project complexity: implications on project management”; Kybernetes 37 No 8 (2008)1094–1110.
[11] Chryssolouris, G., Dicke, K. and Lee, M.; “An approach to real-time flexible scheduling”; International Journal of Flexible Manufacturing Systems 6 No3 (1994) 235–253.
[12] Frizelle, G.D.M. and Gregory, M.J.; “Complexity and the impact of introducing new products. Complexity and Complex Systems in Industry University of  Warwick”; Warwick, UK,  (1994)247–259.
[13] Little, G., Tuttle, D., Clark, D.E.R. and Corney, J.; “A feature complexity index”; proceedings of Institution of Mechanical Engineers 212  (1997), 405-412.
[14] Wiendahl, H.P. and Scholtissek, P.; “Management and control of complexity in manufacturing”; Annals of the CIRP 43 No2 (1999) 533–540.
[15] Williams, T.M.; “The need for new paradigms for complex projects”; International Journal of Project Management 17  No 5 (1999) 269–273.
[16] Xia, B. and Chan, A.P.C.; “ Measuring complexity for building projects: a Delphi study”; Engineering, Construction and Architectural Management 19  No 1 (2012) 7–24.
[17] Remington, K. and Pollack, J.; “Tools for Complex Projects. Gower Publishing company”; aldershott, UK. 2007.
[18] Geraldi, J., Maylor, H. and Williams, T.; “Now, let's make it really complex (complicated): a systematic review of the complexities of projects”; International Journal of Operations & Production Management 31 No 9 (2011) 966–990.
[19] He,Q., Luo,L., Hu,Y. and Chan,A.P.C.; “Measuring the complexity of mega construction projects in China—A fuzzy analytic network process analysis”; International Journal of Project Management 17  (2014) 269-73.
[20] Gidado, K.I. and Millar, A.J.; “The effect of simple overlap of stages of building construction on the project complexity and contract time”, Proceedings of the 8th Annual Conference, Association of Researchers in Construction Management, Isle of Man, September,  (1992) 307-317.
[21] Gidado, K.I.; “Project complexity: the focal point of construction production planning”; Construction Management and Economics 14 No. 3 (1996) 213-225.
[22] Chan, W.M.; “Modeling Construction Durations for Public Housing Projects in Hong Kong”; The University of Hong Kong, Hong Kong. (1998).
[23] Akintoye, A.; “Analysis of factors influencing project cost estimating” (2000).
[24] Cicmil, S. and Marshall, D.; “Insights into collaboration at the project level: complexity, social interaction and procurement mechanisms”; Building Research & Information 33 No. 6, (2005) 523-35.
[25] Leung, W.T.; “Classification of building project complexity and evaluation of supervisory staffing patterns using cluster and factor analysis techniques”; Department of building and Construction, City University of Hong Kong, Hong Kong. (2007).
[26]Stewart, P.; “Complexity Theories, Social Theory, and the Question of Social Complexity”; Philosophy of the Social Sciences 31 No.3, (2001) 323-360.
[27]S Jaafari, A.; “Project Management in the age of complexity and change”; Project Management Journal, 34 No.4, (2003) 8756– 9726.
]28[ صداقت­سرشت، علی، ارائه چهارچوبی برای اندازه گیری میزان پیچیدگی پروژه ها با استفاده از روش فرآیند تحلیل شبکه، پایان نامه کارشناسی ارشد، دانشگاه بین المللی امام خمینی، قزوین، (1391).
[29] Okoli, C., and Pawlowski, S. D.; “The Delphi method as a research tool: an example, design considerations and applications”; Information & Management 42 No 1 (2004) 15–29.
[30] Kauko, K., and Palmroos, P.; “The Delphi method in forecasting financial marketsAn experimental study”; International Journal of Forecasting 30 No 2 (2014) 313–327.
[31] Soon, J. M., Davies, W. P., Chadd, S. A., and Baines, R. N.; “A Delphi-based approach to developing and validating a farm food safety risk assessment tool by expert”;. Expert Systems with Applications 39 No 9 (2012) 8325–8336.
[32] Chu, D., Strand, R. and Fjelland, R.; “Theories of complexity – common denominators of complex systems”;, Essays & Commentaries: Theories of Complexity 8 No 3 (2003) 19-30.
[33] Adler, M., and Ziglio, E.; “Gazing into the oracle: The Delphi method and its application to social policy and public health”; London: Kingsley Publishers. (1996).
[34] Tseng, M. L., Lin, Y. H., Chiu, A. S. F., and Liao, J. C. H.; “Using FANP approach on selection of competitive priorities based on cleaner production implementation: a case study in PCB manufacturer, Taiwan”; Clean Technologies and Environmental Policy 10 No 1 (2008) 17–29.
[35] Bosch-Rekveldt, M., Jongkind, Y., Mooi, H., Bakker, H. and Verbraeck, A.; “Grasping project complexity in large engineering projects: the TOE (Technical, Organizational and Environmental) framework”; International Journal of Project Management 29 (2011) 728–739.
[36] Shyur, H-J. and Shih,H.-S.; “A hybrid MCDM model for strategic vendor selection”; Mathematical and Computer Modeling 44 No 7-8 (2006) 749-761.
[37] Maylor, H.; “Project Management”; 3rd ed. FT Prentice Hall, Harlow, UK.( 2003).
[38] Xia, W. and Lee, G.; “Grasping the complexity Brockmann, C., Girmscheid, G., 2008. The inherent complexity of large scale engineering projects”; Project Perspec  (2004) 22–26.