Application Multicriteria Decision Making Method to Determine the Placement of Power Distribution System
American Journal of Theoretical and Applied Business
Volume 3, Issue 2, June 2017, Pages: 23-30
Received: Dec. 1, 2016;
Accepted: May 15, 2017;
Published: Jun. 16, 2017
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Gholamreza Jandaghi, Faculty of Management and Accounting, College of Farabi, University of Tehran, Tehran, Iran
Fatemeh Alah Akbari, Faculty of Management and Accounting, College of Farabi, University of Tehran, Tehran, Iran
Exploring the historical path of theories and placement models indicates the deployment in terms of effective criterions and useful approaches in various industries. The distribution of electricity is important because of different reasons and all the efforts are for the sake of decreasing casualties of this network and supplying customer needs. The following research tries to come up with a model for placement the electricity distributer posts and that only happens with the recognition of effective priorities. The following research has used measurement to collect data and samplings were executed with a non-accidental and judgmental method. After asking 11 experts the research detected six criterions and 28 subsets. These criterions are as follows: Technical, Economical, Exploitation, Executive Surveillance and Biological. In the beginning there was a dual comparison between the factors and the effectiveness of these factors was determined by AHP approach. Then with the assessment of all the nominated factors and performing a matrix, some of the Fuzzy TOPSIS were used. In the end the following model was executed by EXCEL and a factor has been determined as the final solution.
Fatemeh Alah Akbari,
Application Multicriteria Decision Making Method to Determine the Placement of Power Distribution System, American Journal of Theoretical and Applied Business.
Vol. 3, No. 2,
2017, pp. 23-30.
Akbari Foroud, Asghar, Seifi, Hossin, Golsaz Shirazi, Mohammad Reza, & Asiaei, Khodrahm. (2011). A Heuristic Algorithm for Ranking of Transmission and Subtransmission Expansion Plans. The Modares Journal of Electrical Engineering, 10 (2), 83-99.
Applebaum, William. (1968). The analog method for estimating potential store sales. Guide to store location research, 3, 127-144.
Asgharpoor, MJ. (2010). Group decision making and game theory with operations research approach. Tehran university publication.
Azar, A, & Rajabzadeh, A. (2002). Practical decision making (MADM approach). Tehran. Negah Publication, 94, 216-287.
Badri, Masood A. (1999). Combining the analytic hierarchy process and goal programming for global facility location-allocation problem. International Journal of Production Economics, 62 (3), 237-248.
Canel, Cem, Khumawala, Basheer M, Law, Japhett, & Loh, Anthony. (2001). An algorithm for the capacitated, multi-commodity multi-period facility location problem. Computers & Operations Research, 28 (5), 411-427.
Chase, Richard, & Aquilano, Nicholas. (1995). Production and Operations Management. Chicago: Irwin.
Cheng, Eddie WL, & Li, Heng. (2004). Exploring quantitative methods for project location selection. Building and Environment, 39 (12), 1467-1476.
Chu, Ta-Chung. (2002). Facility location selection using fuzzy TOPSIS under group decisions. International journal of uncertainty, fuzziness and knowledge-based systems, 10 (06), 687-701.
Comley, Warwick J. (1995). The location of ambivalent facilities: Use of a quadratic zero-one programming algorithm. Applied mathematical modelling, 19 (1), 26-29.
Dağdeviren, Metin, Yavuz, Serkan, & Kılınç, Nevzat. (2009). Weapon selection using the AHP and TOPSIS methods under fuzzy environment. Expert Systems with Applications, 36 (4), 8143-8151.
Gumus, Alev Taskin. (2009). Evaluation of hazardous waste transportation firms by using a two step fuzzy-AHP and TOPSIS methodology. Expert Systems with Applications, 36 (2), 4067-4074.
Kahraman, Cengiz, Ruan, Da, & Doǧan, Ibrahim. (2003). Fuzzy group decision-making for facility location selection. Information Sciences, 157, 135-153.
Kelemenis, Alecos, & Askounis, Dimitrios. (2010). A new TOPSIS-based multi-criteria approach to personnel selection. Expert Systems with Applications, 37 (7), 4999-5008.
Kulak, Osman, Durmuşoğlu, M Bülent, & Kahraman, Cengiz. (2005). Fuzzy multi-attribute equipment selection based on information axiom. Journal of materials processing technology, 169 (3), 337-345.
Mansor, Shattri, Ahmed, Nordin, Shiriff, Rashid, Al-shalabi, Mohamed A, Mansor, Shattri Bin, & Ahmed, Nordin Bin. (2006). GIS Based Multicriteria Approaches to Housing Site Suitability Assessment.
Mehrabi Koshki, Ali. (2003). INDUSTRIAL FACILITIES LOCATION SELECTION OF BAHMANGROUP AUTOMOTIVE USING FUZZY TOPSIS. University Of TEHRAN.
Melkote, Sanjay, & Daskin, Mark S. (2001). Capacitated facility location/network design problems. European journal of operational research, 129 (3), 481-495.
Momeni, Mansour. (2008). Modern Topics in Operations Research. Faculty of Management, Tehran University.
Nanthavanij, Suebsak, & Yenradee, Pisal. (1999). Predicting the optimum number, location, and signal sound level of auditory warning devices for manufacturing facilities. International Journal of Industrial Ergonomics, 24 (6), 569-578.
Roshan Milani, Karim. (2002). Airlines electricity distribution networks.
Saaty, Thomas L. (1997). That is not the analytic hierarchy process: what the AHP is and what it is not. Journal of Multi-Criteria Decision Analysis, 6 (6), 324-335.
Satani, Nobuaki, Uchida, Akira, Deguchi, Atsushi, Ohgai, Akira, Sato, Seiji, & Hagishima, Satoshi. (1998). Commercial facility location model using multiple regression analysis. Computers, environment and urban systems, 22 (3), 219-240.
Torfi, Fatemeh, Farahani, Reza Zanjirani, & Rezapour, Shabnam. (2010). Fuzzy AHP to determine the relative weights of evaluation criteria and Fuzzy TOPSIS to rank the alternatives. Applied Soft Computing, 10 (2), 520-528.
Tsung-Yu, Chou, Chia-Lun, Hsu, & Mei-Chyi, Chen. (2008). A fuzzy multi-criteria decision model for international tourist hotels location selection. International journal of hospitality management, 27 (2), 293-301.
Yu, Chian-Son. (2002). A GP-AHP method for solving group decision-making fuzzy AHP problems. Computers & Operations Research, 29 (14), 1969-2001.
Yurdakul, Mustafa, & Ic, Yusuf Tansel. (2004). AHP approach in the credit evaluation of the manufacturing firms in Turkey. International Journal of Production Economics, 88 (3), 269-289.
Zhang, Fengli, Johnson, Dana M, & Sutherland, John W. (2011). A GIS-based method for identifying the optimal location for a facility to convert forest biomass to biofuel. Biomass and Bioenergy, 35 (9), 3951-3961.