A SWOT framework for analyzing the electricity supply chain using an integrated AHP methodology combined with fuzzy-TOPSIS

ABSTRACT Supply chain refers to the integrated chain of organizations, loops, persons who are involving in stuff generation and costumer servicing. One of these services is the electricity which can be consumed as domestic, industrial, agriculture and etc. It can be considered that the electric power supply chain network has four stages which are electricity generation, transmission, distribution and consumption. In this paper, a framework of Strengths-Weaknesses-Opportunities-Threats (SWOT) is presented to analysis the electricity supply chain in north-west of Iran. In this regard, some interviews are done with several experts of electricity industry. In addition, an integrated AHP method which is combined with fuzzy-TOPSIS is proposed to prioritize the SWOT factors for the proposed electricity supply chain. The results show that the proposed method can be used effectively in order to determine a strategy plan with high prioritizing for planning and decision-making in electricity supply chain.

[1]  Young Hae Lee,et al.  A framework for measuring the performance of service supply chain management , 2012, Comput. Ind. Eng..

[2]  Kuo-liang Lee,et al.  A fuzzy quantified SWOT procedure for environmental evaluation of an international distribution center , 2008, Inf. Sci..

[3]  Ding-Hong Peng,et al.  Consolidating SWOT analysis with nonhomogeneous uncertain preference information , 2011, Knowl. Based Syst..

[4]  P. Dwivedi,et al.  Stakeholders’ perceptions on forest biomass-based bioenergy development in the southern US , 2009 .

[5]  Wenli Li,et al.  Collaborative production planning of supply chain under price and demand uncertainty , 2011, Eur. J. Oper. Res..

[6]  Young Hoon Lee,et al.  Decomposition heuristic to minimize total cost in a multi-level supply chain network , 2008, Comput. Ind. Eng..

[7]  Rong-Gang Cong,et al.  Electric Power Supply Chain Management Addressing Climate Change , 2012 .

[8]  J. Alavalapati,et al.  Exploring the potential for silvopasture adoption in south-central Florida: an application of SWOT–AHP method , 2004 .

[9]  Yi-Kuei Lin,et al.  Maximal network reliability with optimal transmission line assignment for stochastic electric power networks via genetic algorithms , 2011, Appl. Soft Comput..

[10]  Shuo-Yan Chou,et al.  A fuzzy simple additive weighting system under group decision-making for facility location selection with objective/subjective attributes , 2008, Eur. J. Oper. Res..

[11]  Mohammad Babaesmailli,et al.  Integrating analytical network process and fuzzy logic to prioritize the strategies - A case study for tile manufacturing firm , 2012, Expert Syst. Appl..

[12]  O. Okoro,et al.  Power sector reforms in Nigeria: opportunities and challenges , 2017 .

[13]  Sherif Ali Mohtady Mohamed,et al.  Strategic implementation of IT/IS projects in construction , 2002 .

[14]  N. Shah,et al.  Fair electricity transfer price and unit capacity selection for microgrids , 2013 .

[15]  Deng-Feng Li,et al.  Compromise ratio method for fuzzy multi-attribute group decision making , 2007, Appl. Soft Comput..

[16]  I. Graham.  Fuzzy set theory and its applications (2nd Edition): This book by H.-J. Zimmermann is published by Kluwer Academic Publisher, Dordrecht (1991, 399 pp, US$69.95, ISBN 0-7923-9075-X). , 1991 .

[17]  J. Kangas,et al.  The use of value focused thinking and the A’WOT hybrid method in tourism management , 2004 .

[18]  Mikko Kurttila,et al.  Utilizing the analytic hierarchy process (AHP) in SWOT analysis — a hybrid method and its application to a forest-certification case ☆ , 2000 .

[19]  Chen-Tung Chen,et al.  A fuzzy approach for supplier evaluation and selection in supply chain management , 2006 .

[20]  M. Naim,et al.  Engineer-to-order supply chain management: A literature review and research agenda , 2009 .

[21]  Yu-Jie Wang,et al.  The evaluation of financial performance for Taiwan container shipping companies by fuzzy TOPSIS , 2014, Appl. Soft Comput..

[22]  Rajat Bhagwat,et al.  Performance measurement of supply chain management: A balanced scorecard approach , 2007, Comput. Ind. Eng..

[23]  Zvi Drezner,et al.  Facility location - applications and theory , 2001 .

[24]  Caroline M. Eastman,et al.  Response: Introduction to fuzzy arithmetic: Theory and applications : Arnold Kaufmann and Madan M. Gupta, Van Nostrand Reinhold, New York, 1985 , 1987, Int. J. Approx. Reason..

[25]  H. Zimmermann,et al.  Fuzzy Set Theory and Its Applications , 1993 .

[26]  Chen-Tung Chen,et al.  Extensions of the TOPSIS for group decision-making under fuzzy environment , 2000, Fuzzy Sets Syst..

[27]  T. Saaty,et al.  The Analytic Hierarchy Process , 1985 .

[28]  Hayato Yoshioka,et al.  Quantitative SWOT analysis on global competitiveness of machine tool industry , 2006 .

[29]  John A. Pearce,et al.  Strategic Management , 1996 .

[30]  Anjali Awasthi,et al.  A fuzzy multicriteria approach for evaluating environmental performance of suppliers , 2010 .

[31]  Esra Bas,et al.  The integrated framework for analysis of electricity supply chain using an integrated SWOT-fuzzy TOPSIS methodology combined with AHP: The case of Turkey , 2013 .

[32]  Z. Yue.  A method for group decision-making based on determining weights of decision makers using TOPSIS , 2011 .

[33]  Mohammad Izadikhah,et al.  Extension of the TOPSIS method for decision-making problems with fuzzy data , 2006, Appl. Math. Comput..

[34]  Saman Hassanzadeh Amin,et al.  A three-stage model for closed-loop supply chain configuration under uncertainty , 2013 .

[35]  Wen-Chih Huang,et al.  Application of a quantification SWOT analytical method , 2006, Math. Comput. Model..

[36]  P. Hofbauer,et al.  Elastic collaboration for automotive supplier networks , 2011, 2011 17th International Conference on Concurrent Enterprising.

[37]  Metin Dagdeviren,et al.  Using the analytic network process (ANP) in a SWOT analysis - A case study for a textile firm , 2007, Inf. Sci..

[38]  Thomas L. Saaty,et al.  DECISION MAKING WITH THE ANALYTIC HIERARCHY PROCESS , 2008 .

[39]  Anna Nagurney,et al.  Dynamic electric power supply chains and transportation networks: An evolutionary variational inequality formulation , 2007 .

[40]  Ching-Lai Hwang,et al.  Fuzzy Multiple Attribute Decision Making - Methods and Applications , 1992, Lecture Notes in Economics and Mathematical Systems.

[41]  E. Stanley Lee,et al.  An extension of TOPSIS for group decision making , 2007, Math. Comput. Model..

[42]  Sanjay Kumar,et al.  Intuitionistic fuzzy entropy and distance measure based TOPSIS method for multi-criteria decision making , 2014 .

[43]  Yuh-Jen Chen,et al.  Structured methodology for supplier selection and evaluation in a supply chain , 2011, Inf. Sci..