Choosing an Appropriate Factorial System Through the Modern and Outmoded System by Two Approaches Anp Ahp-fuzzy

Volume 6, Issue 2, pp 107 - 117 http://dx.doi.org/10.22436/jmcs.06.02.03

Download PDF

Download XML

• Export citations
  • CITATIONS & REFERENCES
  • EndNote (.ENW)
  • Mendeley, JabRef (.BIB)
  • Papers, Zotero, Reference Manager, RefWorks (.RIS)
  • ARTICLE CITATION
  • EndNote (.ENW)
  • Mendeley, JabRef (.BIB)
  • Papers, Zotero, Reference Manager, RefWorks (.RIS)
  • REFERENCES
  • EndNote (.ENW)
  • Mendeley, JabRef (.BIB)
  • Papers, Zotero, Reference Manager, RefWorks (.RIS)

• 2657 Downloads
• 3729 Views

Authors

Gholamreza Abdollahzadeh - Assistant Professor, Faculty of civil Engineering, Babol, Iran. Mohammad Javad Taheri Amiri - Tabari Institute of Higher Education, Dept. Of construction Management, Babol, Iran. Ehsan Akbari Kaffash - Tabari Institute of Higher Education, Dept. Of construction Management, Babol, Iran. Media Hemmatian - Isfahan University of technology, Dept. Of Industrial Engineering, Isfahan, Iran. Soroush Keihanfard - Islamic Azad University, Science and Research Branch, Dept. of Construction Management, Mazandaran, Iran.

Abstract

Today, by introducing the factorial modern systems to the construction industry of the country, it is not easy to make a decision in order to use these modern systems together with the outmoded and conventional systems .Regarding the unique traits in each of these systems, and the special conditions of each project, it is possible that each of these systems to have a priority over the factorial systems prevailing in the country. Thus, it was made an effort to choose the most appropriate factorial system through the modern and outmoded systems in the country using the multi criteria making decision methods, ANP and AHP-FUZZY, and regarding some of the important criteria in choosing the type of the factorial system such as dead load, saving energy, performance facility, etc .finally, light steel frame (LSF) system has been chosen as the most appropriate selection through the ones under study.

Share and Cite

Keywords

• Structural systems
• Industrialization
• Management and structure engineering
• ANP
• AHP-FUZZY

MSC

•  90C70
•  90B30
•  90B06
•  90B50
•  90B10
•  90B90

References

• [1] P. Rieetveld, H. Ouwesloot, Ordinal Data in Multi criteria Decision Making, a Stchastic Dominance Approach to Sitting Muclear Power Plants, European J. Oper, 56 (1992), 249-262
  • View Article
  • Google Scholar


• [2] I. Ozer, Multi-Criteria Group Decision Making Method Using AHP and Integrated Web-Based Decision Support System, M.Sc. Thesis University of Ottawa, Canada (2007)
  • View Article
  • Google Scholar


• [3] P. K. Dey, E. K. Ramcharan, Analytical Hierarchy Process Helps Select Site for Limestone Quarry Expansion in Barbodos, Journal of Environmental Management, 88 (2008), 1384-1395
  • View Article
  • Google Scholar


• [4] H. J. Shyur, H. S. Shih, a hybrid MCDM model for strategic Vendor selection, Mathematical and computer modeling, 44 (2006), 749-761
  • View Article
  • Google Scholar
  • MATH


• [5] R. B. Handfield, S. V. Walton, R. Sroufe, S. A. Melynyk, applying environmental criteria to supplier assessment study in the application of analytic hierarchy process, European Journal of operational Reaserch, 141 (2002), 70-87
  • View Article
  • Google Scholar
  • MATH


• [6] K. S. Bhutta, F. Huq, Supplier selection problem, a comparison of the total cost of ownership and analytic hierarchy process approaches, Supply chain Management an International Journal, 7:3 (2002), 126-135
  • View Article
  • Google Scholar


• [7] S. Shenkerman, Avoiding rank-reversal in AHP decision support models, European Journal of operation Research , 74 (1994), 407-419
  • View Article
  • Google Scholar
  • MATH


• [8] Luis J.Vargis, Reply to Shenkerman s avoiding rank reversal in AHP decision support model, European Journal of operation Research, 74 (1994), 420-425


• [9] G. Buyukozkan, A Fuzzy Multi-Criteria Decision Approach for Software Development Strategy Selection, International Journal of General System, 33 (2-3) (2003), 259-280
  • View Article
  • Google Scholar


• [10] N. B. Chang, G. Parvathinathan, J. B. Breeden, Combining GIS with Fuzzy Multi criteria Decision Making for Landfill Siting in a Fast-Growing Urban Region, Journal of Environmental Management, 139-153 (2007)
  • View Article
  • Google Scholar


• [11] N. F. Pan, Fuzzy AHP Approach for Selecting the Suitable Bridge Construction Method, Automation in construction , 17 (2008), 958-965
  • View Article
  • Google Scholar


• [12] Z. Zhao, C. Chen, A Fuzzy System for Concrete Bridge Damage Diagnosis, Computers and Structure , 80 (2002), 629-641
  • View Article
  • Google Scholar


• [13] Y. M. Wang, M. S. Elhag , A Fuzzy Group Decision Making approach for bridge risk assessment, Computers &Industrial Engineering, 53 (2007), 137-148
  • View Article
  • Google Scholar


• [14] Thomas L. Saaty, DECISION MAKING with dependence and feedback, RWS Publications, Pittsburgh, PA (1996)
  • Google Scholar


• [15] Thomas L. Saaty, Fundamental of The Analytic Network Process, ISAHP, JAPAN: Kobe (1999)
  • Google Scholar


• [16] Thomas L. Saaty, FUNDAMENTALS OF THE ANALYTIC NETWORK PROCESS, Dependence and feedback in Decision-making with a single Network, Pittsburgh: university of Pittsburgh (2004)
  • View Article
  • Google Scholar


• [17] Garuti Claudio, COMPARING AHP AND ANP SHIFTWORK MOODELS; HIERARCHY SIMPLICITY V/S NETWORK CONNECTIVITY, Fulcrum Engineering Ltd, Santiago-Chile (2003)
  • Google Scholar


• [18] D. Peidroa, J. Mulaa, R. Polera, J. Verdegay, Fuzzy optimization for supply chain planning under supply, demand and process uncertainties, Fuzzy Sets and Systems , 160 (2009), 2640–2657
  • View Article
  • MathSciNet
  • Google Scholar
  • MATH


• [19] V. Balali, B. Zahraie, A. Hosseini, A. Roozbahani, Selecting the Appropriate Structural System by Application of PROMETHEE Decision Making Method, Proc. Of the 2nd International Conference on Engineering System Management and its Application, UAE (2010)
  • Google Scholar