American Journal of Civil Engineering and Architecture
ISSN (Print): 2328-398X ISSN (Online): 2328-3998 Website: http://www.sciepub.com/journal/ajcea Editor-in-chief: Mohammad Arif Kamal
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American Journal of Civil Engineering and Architecture. 2014, 2(5), 149-159
DOI: 10.12691/ajcea-2-5-1
Open AccessArticle

A Comparison of AHP and PROMETHEE Family Decision Making Methods for Selection of Building Structural System

Vahid Balali1, , Banafsheh Zahraie2 and Abbas Roozbahani3

1Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, USA

2School of Civil Engineering, University of Tehran, Tehran, Iran

3Department of Irrigation and Drainage Engineering, University of Tehran, Tehran, Iran

Pub. Date: September 08, 2014

Cite this paper:
Vahid Balali, Banafsheh Zahraie and Abbas Roozbahani. A Comparison of AHP and PROMETHEE Family Decision Making Methods for Selection of Building Structural System. American Journal of Civil Engineering and Architecture. 2014; 2(5):149-159. doi: 10.12691/ajcea-2-5-1

Abstract

Introduction of new structural systems into construction industry has created a competitive environment wherein selecting the most appropriate structural system has become increasingly difficult. Some structural systems have priority over others due to their unique features,as well as the special requirements of various construction projects. The structural system’s selection process is intended to show the trade-off among different alternatives when evaluated by technical and nontechnical professionals and maximize the agreement between all interested parties. This paper addresses how the best system can be selected using AHP and PROMETHEE family of multiple criteria decision-making techniques. These techniques have been utilized in this study for selecting the appropriate structural system among 3D Panel with light walls in building frames, LSF, ICF, Tunnel Formwork system, and Tronco in a low rise multi-housing project in Iran. A questionnaire has been designed to collect engineering judgments and experts’ opinions on various parameters such as weight of different criteria. The team of experts who has cooperated in this research includes engineers and managers of consultants, contractors, and owners who are involved in different low rise multi-housing projects in Iran. A comparison between the two techniques has been carried out based on the consistency of the results, the required amount of interactions with the decision-makers, and ease of understanding. For the case study of this research, 3D Panel with light walls in building frames has been selected as the most appropriate structural system. The PROMETHEE II has been selected as the preferred method for the appropriate structural system selection process since its results are consistent, easy to understand, and require less information from decision-makers compared to AHP.

Keywords:
Multi-Criteria-Decision-Making AHP PROMETHEE building construction structural system

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References:

[1]  V. Balali, B. Zahraie, A. Hosseini, A. Roozbahani, Selecting appropriate structural system: Application of PROMETHEE decision making method, 2nd International Conference on Engineering Systems Management and Its Applications (ICESMA), Sharjah, UAE., 2010, pp. 1-6.
 
[2]  M. Golabchi, H. Mazaherian, “New Architectural Technologies., University of Tehran Press., Tehran, Iran, 2010.
 
[3]  V. Balali, B. Zahraie, A. Roozbahani, Integration of ELECTRE III and PROMETHEEII Decision Making Methods with Interval Approach: Application in Selection of Appropriate Structural Systems, Journal of Computing in Civil Engineering 28 (2) (2014) 297-314.
 
[4]  M. Rogers, Using Electre III to aid the choice of housing construction process within structural engineering, Journal of Construction Management and Economic 18 (3) (2000) 333-342.
 
[5]  M.A.B. Tabarak, D.S. William, Artificial neural network for the selection of buildable structural systems, Journal of Engineering, Construction and Architectural Management 10 (4) (2003) 263-271.
 
[6]  R.M. Rivard, R.J. Leclercq, FROM ARCHITECTURAL SKETCHES TO FEASIBLE STRUCTURAL SYSTEMS, in: J. Gero (Ed.), Design Computing and Cognition ’06, Springer Netherlands, 2006, pp. 675-694.
 
[7]  J. Messner, V. Sanvido, R. Kumara, StructNet: A Neural Network for Structural System Selection, Journal of Computer-Aided Civil and Infrastructure Engineering 9 (2008) 109-118.
 
[8]  Z. Turskis, E.K. Zavadskas, F. Peldschus, Multi-criteria Optimization System for Decision Making in Construction Design and Management, Journal of Economics of Engineering Decisions 1 (61) (2009) 7-17.
 
[9]  O.S. Shamrani, G.G. Schierle, Selection of optimum structural systems and materials, Journal of Art in Science and Engineering 13 (2009) 91-103.
 
[10]  T.L. Saaty, Mathematical Models for Decision Support, Springer Link, 1988.
 
[11]  K.M.A.-S. Al-Harbi, Application of the AHP in project management, International Journal of Project Management 19 (1) (2001) 19-27.
 
[12]  M.K. Tiwari, R. Banerjee, A decision support system for the selection of a casting process using analytic hierarchy process, Journal of Production Planning & Control: The Management of Operations 12 (7) (2001) 689-691.
 
[13]  J. Wong, H. Li, J. Lai, Evaluating the system intelligence of the intelligent building systems: Part 2: Construction and validation of analytical models, Automation in Construction 17 (3) (2008) 303-321.
 
[14]  L. Juhua, T. Lishou, Y. Lei, Application of AHP Method in Building Construction and Cultural Combined - By Human Living Environment Construction of PengAn as the Background, Management and Service Science (MASS), 2011 International Conference on, 2011, pp. 1-4.
 
[15]  D.C. Morais, A.T. de Almeida, Group decision-making for leakage management strategy of water network, Resources, Conservation and Recycling 52 (2) (2007) 441-459.
 
[16]  R. Ginevičius, V. Podvezko, M. Novotny, The Use Of PROMETHEE Method For Evaluating The Strategic Pptential Of Construction Enterprises, The 10th International Conference on Modern Building Materials, Structures, and Techniques, Vilnius, Lithuania, 2010, pp. 407-413.
 
[17]  J. San Cristobal, Critical Path Definition Using Multicriteria Decision Making: PROMETHEE Method, Journal of Management in Engineering 29 (2) (2013) 158-163.
 
[18]  V. Balali, A. Mottaghi, O.R. Shoghli, M. Golabchi, Selection of Appropriate Material, Construction Technique, and Structural System of Bridges by Use of Multi-Criteria Decision-Making Method, Transportation Research Record: Journal of the Transportation Research Board (TRR) (2431) (2014) 79-87.
 
[19]  R.U. Bilsel, G. Büyüközkan, D. Ruan, A fuzzy preference-ranking model for a quality evaluation of hospital web sites, International Journal of Intelligent Systems 21 (11) (2006) 1181-1197.
 
[20]  M. Dağdeviren, Decision making in equipment selection: an integrated approach with AHP and PROMETHEE, Journal of Intelligent Manufacturing 19 (4) (2008) 397-406.
 
[21]  M. Fathollah, F. Taham, A. Ashouri, Developing a Conceptual Framework for Simulation Analysis in a Supply Chain Based on Common Platform (SCBCP), Journal of applied research and technology 7 (2) (2009) 163-184.
 
[22]  A. Kasaeian, O. Shoghli, A. Afshar, T. Narmak, Nondominated archiving genetic algorithm for multi-objective optimization of time-cost trade-off, Proc., 8th WSEAS Int. Conf. on Evolutionary Computing, 2007.
 
[23]  J. Wang, C. Wei, D. Yang, A decision method for vendor selection based on AHP/PROMETHEE/GAIA, Journal of Dalian University of Technology 46 (6) (2006) 926-931.
 
[24]  J.-J. Wang, D.-L. Yang, Using a hybrid multi-criteria decision aid method for information systems outsourcing, Computers & Operations Research 34 (12) (2007) 3691-3700.
 
[25]  J.P. Brans, Lingenierie de la Decision. Elaboration DinstrumentsDaide a la Decision, Methode PROMETHEE In: Nadeau, R., Landry, M. (Eds.), Laide a la Decision: Nature, Instruments et Perspectives Davenir., de Universite Laval, Quebec, Canada, 1982, pp. 183-214.
 
[26]  J.P. Brans, P. Vincke, A Preference Ranking Organisation Method: (The PROMETHEE Method for Multiple Criteria Decision-Making), Management Science 31 (6) (1985) 647-656.
 
[27]  J.P. Brans, P. Vincke, B. Mareschal, How to select and how to rank projects: The Promethee method, European Journal of Operational Research 24 (2) (1986) 228-238.
 
[28]  S.K. Amponsah, K.F. Darkwah, A. Inusah, Logistic preference function for preference ranking organization method for enrichment evaluation (PROMETHEE) decision analysis., African Journal of Mathematics and Computer Science Research 5 (6) (2012) 112-119.
 
[29]  V. Podvezko, A. Podviezko, Dependence of multi-criteria evaluation result on choice of preference functions and their parameters, Technological and Economic Development of Economy 16 (1) (2010) 143-158.
 
[30]  J.P. Brans, B. Mareschal, The PROMETHEE GAIA Decision Support System for Multicriteria Investigations, Journal of Investigation Operative 4 (2) (1994) 107-117.