IJSTR

International Journal of Scientific & Technology Research

Home About Us Scope Editorial Board Blog/Latest News Contact Us
0.2
2019CiteScore
 
10th percentile
Powered by  Scopus
Scopus coverage:
Nov 2018 to May 2020

CALL FOR PAPERS
AUTHORS
DOWNLOADS
CONTACT

IJSTR >> Volume 2- Issue 10, October 2013 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Integrating Approach For Multi Criteria Decision Making (Case Study: Ranking For Bulk Carrier Shipbuilding Region)

[Full Text]

 

AUTHOR(S)

Mohammed Rizk Awad, Prof. Dr. Taymoor Nazmy, Prof. Dr. Ismael Amr Ismael

 

KEYWORDS

Index Terms: Decision Support System, Fuzzy AHP, TOPSIS.

 

ABSTRACT

Abstract: Investing in the bulk carrier market constitutes risky investment due to the volatility of the bulk carrier earning rates. Ship-owners invariably take several quotations before making an order for building a new ship. Shipbuilding process has indeed swung upwards or downwards depending upon the number of shipyards competing for a given volume of orders, and the shipyard region. The decision makers for strategic purchasing greatly require an efficient, valid and fair tool to assist them in determining the best region to build from forthwith. In this paper, we concentrated a suitable shipbuilding Dry-cargo Bulk Carrier region for decision makers, which belongs to Multi-Criteria Decision Making and attempted to uncover the benefit of using integrated Fuzzy set theory with AHP methodology to decrease the influence of decision maker's subjective preference, and control the uncertain and imprecise variations during evaluation process. The degree of confidence and risk index are also joined, so that decision makers can adjust them to match real context. Finally, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was applied to the final rank of alternatives. The data were collected from "Clarksons Research Studies" (CRS) for quantitative variable which provides a statistical and research service to Clarkson brokers, their clients and the shipping world in general. Four decisions makers in marine strategic purchasing were invited and asked to give the qualitative variables (intangible criteria). Another methodology was employed for the same object called Consensus Group Decision Making (CGDM), with addition of threshold to simplify the process iteration of the methodology and it gives the same rank [21]. The advantages of FAHP is mainly depends of tangible criteria that have accurate values and intangible criteria which Fuzzy theory was used to deals with, compared with the CGDM that mainly depends of experts that may be high risk and have confidence degree of their opinions.

 

REFERENCES

[1]. "Lloyd's Shipping Economist Magazines."London 2000-2011.

[2]. C.Chou, J.Ding "Application of an Integrated Model with MCDM and IPA to Evaluate the Service Quality of Transshipment Port" Journal of Mathematical Problems in Engineering Volume 2013 (2013), Article ID 656757.

[3]. A. F. Guneri, M. Cengiz, S. Seker" A fuzzy ANP approach to shipyard location selection" Journal of Expert System with Application Volume 36 Issue 4, May, 2009 Pages 7992-7999.

[4]. Climaco, J. (1997). Multicriteria analysis. New York: Springer-Verlag.

[5]. Pohekar, S. D.; (2004) Ramachandran, M.. Application of multi-criteria decision-making to sustainable energy planning - A review. Renew. [4] Chen, S.M. (1996)." Evaluating Weapon Systems Using Fuzzy Arithmetic Operations, Fuzzy Sets and Systems".

[6]. Cheng, C.H. (1996) Evaluating Baval Tactical Missile Systems by Fuzzy AHP Based on the Grade Value of Membership Function,European Journal of Operational Reasearch.

[7]. Cheng, C.H. (1999a) Evaluating Weapon Systems Using Ranking Fuzzy Numbers, Fuzzy Sets and Systems.

[8]. Zhu, K.; Jing, Y.; Chang, D(1999), A discussion on ExtentAnalysis method and applications of fuzzy AHP.

[9]. Cheng, C.H., Yang, K.L. and Hwang, C.L. (1999b) Evaluating Attack Helicopters by AHP Based on Linguistic Variable Weight, European Journal of Operational Research.

[10]. Deng, H. (1999) Multicriteria Analysis with Fuzzy Pairwise Comparison, International Journal of Approximate Reasoning.

[11]. Mon, D.L., Cheng, C.H., and Lin, J.C. (1994) Evaluating Weapon Systems Using Fuzzy Analytic Hierarchy Process Based on Entropy Weight.

[12]. Chen, S.J.and Hwang, C.L. (1992)." Fuzzy Multiple Attribute Decision Making: Methods and Applications.Springer-Verlag, Berlin".

[13]. Chen, S.M. (1996)." Evaluating Weapon Systems Using Fuzzy Arithmetic Operations, Fuzzy Sets and Systems".

[14]. Cheng, C.H. (1996) Evaluating Baval Tactical Missile Systems by Fuzzy AHP Based on the Grade Value of Membership Function,European Journal of Operational Reasearch.

[15]. Cheng, C.H. (1999a) Evaluating Weapon Systems Using Ranking Fuzzy Numbers, Fuzzy Sets and Systems.

[16]. Cheng, C.H., Yang, K.L. and Hwang, C.L. (1999b) Evaluating Attack Helicopters by AHP Based on Linguistic Variable Weight, European Journal of Operational Research.

[17]. Weck,M., Klocke,F., Schell, H., and Ruenauver, E. (1997) Evaluating Alternative Production Cycles Using the Extended Fuzzy AHP Method.

[18]. Study on the Competitiveness of the European Shipbuilding Industry 2009

[19]. Saaty, T. L., (1980). The analytic hierarchy process. RWS Publications, Pittsburgh, PA. Shiftan, Y.; Kaplan, S.; Hakkert, S., (2003). Scenario building as a tool for planning a sustainable transportation system.

[20]. Clarkson Research Services Limited Ltd. "Shipping Intelligence Network 2005." (http://www.clarksons.net/markets/) London England 2006.

[21]. Awad-Rizk, M.,Amre, I., Nazmy, T. A Consensus Model For Choosing The Best Bulk carrier Regional Shipbuilding .Global Engineering, Science and Technology Conference, Dubai, UAE.1-2 April,2013.