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A systematic approach for the selection of the architect/engineer professional in construction projects

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper presents a model for selecting Architect/Engineer (A/E) professionals for construction projects. The model takes into account all relevant criteria considered by the owner. These criteria were identified through a comprehensive literature review, and were then clustered into seven groups, namely firm background; past experience; technical resources; management capabilities; financial stability; quality assurance; and innovation capability. The Analytic Hierarchy Process (AHP) was utilized to develop a model for A/E professional selection. This involved constructing a hierarchy of the decision, taking into account all of the identified criteria and sub-criteria and comparing the relative importance of each criterion with all other criteria. A synthesis of the results was undertaken to determine the ranking of the different professionals considered in the model. The paper is practically useful to owners interested in achieving the desired cost, quality and time in their projects.
PL
W niniejszym artykule przedstawiono model wyboru specjalistów z zakresu Architekt/Inżynier (A/E) do projektów budowlanych. Model uwzględnia wszystkie istotne kryteria brane pod uwagę przez właściciela. Kryteria te zostały określone w kompleksowym przeglądzie literatury, a następnie zostały zaszeregowane do siedmiu grup, a mianowicie: silne zaplecze; zdobyte doświadczenie; zasoby techniczne; możliwości zarządzania; stabilność finansowa; zapewnienie jakości; i zdolność innowacyjna. Analityczny proces hierarchiczny (AHP) został wykorzystany do opracowania modelu profesjonalnej selekcji A/E. Wymagało to skonstruowania hierarchii decyzji, biorąc pod uwagę wszystkie zidentyfikowane kryteria i podkryteria oraz porównując względne znaczenie każdego kryterium z wszystkimi innymi kryteriami. Podjęto syntezę wyników w celu ustalenia rankingu różnych specjalistów branych pod uwagę w modelu. Artykuł jest praktycznie użyteczny dla właścicieli zainteresowanych osiągnięciem pożądanych kosztów, jakości i czasu w swoich projektach.
Rocznik
Strony
5--14
Opis fizyczny
Bibliogr. 38 poz.
Twórcy
autor
  • Construction Engineering and Management Department, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia
  • Architectural Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia
autor
  • Construction Engineering and Management Department, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia
autor
  • Construction Engineering and Management Department, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia
Bibliografia
  • [1] The Construction Specifications Institute (CSI) (2011). Construction contract administration: practice guide; The Construction Specifications Institute, Wiley, NJ.
  • [2] Saudi Council of Engineers (SCE); www.Saudieng.Sa/English/Pages/Default.Aspx.
  • [3] Al Musallami, A., and Assaf, S. (1996). Public owners’ satisfaction with consultancy practices in Saudi Arabia; Building Research and Information, 24(3), 148-151.
  • [4] Adrian, J. (1981). CM: the construction management process, Reston Publishing Company; Reston, Virginia.
  • [5] Al-Shammari,M. (2010). AHP model for engineering consultant selection in Saudi Arabia, Master Report, Construction Engineering and Management Department, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia.
  • [6] Cushman, R. F., and Palmer, W. J. (1980). Businessman’s guide to construction; Dow Jones Books, Princeton, NJ.
  • [7] Ng, S. T., and Chow, L. K. (2004a). Evaluating engineering consultants’ general capabilities during the pre-selection process - a Hong Kong study; Engineering, Construction and Architectural Management 11(3), 150-158.
  • [8] Al-Besher, M. F. S. (1998). A conceptual model for consultant selection in Saudi Arabia, Master Thesis; Construction Engineering and Management Department, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia.
  • [9] Love, P., Edwards, D., Sangwon, H. (2011). Design error reduction: towards the effective utilization of building information modelling; Research in Engineering Design 22(3), 173-187.
  • [10] Cheung, F. K. T., Kuen, J. L. F., Skitmore, M. (2002). Multi-criteria evaluation model for the selection of architectural consultants, Construction Management and Economics, 20(7), 569y-580.
  • [11] Moore, W. (1986). Selecting a consultant engineer; Journal of Professional Issues in Engineering 112(4) 224-226.
  • [12] Kasma, D. (1987). Consultant selection; Journal of Management in Engineering 3(4) 288-296.
  • [13] Potter, K. J. and Sanvido, V. (1995). Implementing a design/build prequalification systems; Journal of Management in Engineering 11(3), 30-34.
  • [14] Al-Sobiei, O. S., Assaf, S., Arditi, D. (1996). Construction claims in residential building projects in Saudi Arabia; International Journal for Housing Science and its Applications 20(2), 79-89.
  • [15] Assaf, S., Al-Hammad, A., Al-Shihah, M. (1996). Effects of faulty design and construction on building maintenance; Journal of Performance of Constructed Facilities 10(4), 171-174.
  • [16] Ling, Y. Y. (2002).Model for predicting performance of architects and engineers; Journal of Construction Engineering and Management 128(5), 446-455.
  • [17] Ling, Y. Y. (2003). A conceptual model for selection of architects by project managers in Singapore; International Journal of Project Management 21, 135-144.
  • [18] Abdulwahab, M. F. (2006). Evaluation of consultant performance, Master Thesis; Construction Engineering and Management Department, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia.
  • [19] Sporrong, J. (2011). Criteria in consultant selection: public procurement of architectural and engineering services; Australian Journal of Construction Economics and Building 11(4), 59-76.
  • [20] Chow, L. K. and Ng, S. T. (2007); Expectation of performance levels pertinent to consultant performance evaluation; International Journal of Project Management 25(1), 90-103.
  • [21] Basham, A. P. (1983). Consultant selection: the two envelope system of bidding; Industrial Marketing Management 12(4), 271-279.
  • [22] Ng, S. T., and Chow, L. K. (2004). Framework for evaluating the performance of engineering consultants; Journal of Professional Issues in Engineering Education and Practice 130(4), 280-288.
  • [23] Ng, S. T. (2004). Factors pertinent to the selection of architectural and building services consultants; HKIE Transactions, 11(3), 42-49.
  • [24] Omar, M. F., Trigunarsyah, B., and Wong, J. (2009). A design science approach for consultant selection decision support system; Proceedings of the 4th International Conference on Cooperation and Promotion of Information Resources in Science and Technology, November 21-23, Beijing, China, IEEE Computer Society, 90-94.
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  • [26] Zavadskas, E. K., Vilutiene, T. (2006); A multiple criteria evaluation of multi-family apartment block’s maintenance contractors: I - Model for maintenance contractor evaluation and the determination of its selection criteria; Building and Environment, 41(5), 621-632.
  • [27] Darvish, M., Yasaei, M., Saeedi, A. (2009). Application of the graph theory and matrix methods to contractor ranking; International Journal of Project Management, 27(6) 610-619.
  • [28] Plebankiewicz, E. (2010). Construction contractor prequalification from Polish clients’ perspective; Journal of Civil Engineering and Management, 16(1), 57-64.
  • [29] Plebankiewicz, E. (2012). A fuzzy sets based contractor prequalification procedure; Automation in Construction, 22, 433-443.
  • [30] Nieto-Morote, A., Ruz-Vila, F. (2012). A fuzzy multicriteria decision-making model for construction contractor prequalification; Automation in Construction, 25, 8-19.
  • [31] Zhang, Y., and Fan, Z. (2014). An optimization method for selecting project risk response strategies; International Journal of Project Management, 32(3), 412-422.
  • [32] Canada, J. R., Sullivan, W. G., Kulonda, D. J, White, J. A. (2005). Capital investment analysis for engineering and management; 3rd Ed., Prentice Hall, NJ.
  • [33] Traintaphyllou, E. (2000). Multi-criteria decision making methods: a comparative study; Springer, The Netherlands.
  • [34] Saaty, T. L. (1994). Fundamentals of decision making and priority theory with the analytic hierarchy process; RWS Publications.
  • [35] Hwang, C. L., Yoon, K. (1981). Multiple attribute decision making: methods and applications; Springer- Verlag, NY.
  • [36] Yoon, K. (1987). A reconciliation among discrete compromise situations; Journal of Operational Research Society, 38(3), 277-286.
  • [37] Figueira, J., Greco, S., Ehrgott, M. (2005). Multiple criteria decision analysis: state of the art surveys; International Series in Operations Research and Management Science, 78, Springer, NY.
  • [38] Expert Choice software (2015). Expert Choice software for collaborative decision making, http://expertchoice.com/14
Uwagi
PL
Opracowanie w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-5ae6e281-af1f-4f12-970b-78647ec49442
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