Study Key Factors in Selecting Proper Location for Insurance Branches
International Journal of Management and Fuzzy Systems
Volume 4, Issue 3, September 2018, Pages: 46-52
Received: Jun. 30, 2017; Accepted: Dec. 1, 2017; Published: Sep. 13, 2018
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Sahar Ataee Ashtiani, Department of Industrial Engineering, University of Eyvanekey, Eyvanekey, Iran
Alimohamad Ahmadvand, University of Eyvanekey, Eyvanekey, Iran
Hossein Eghbali, Department of Industrial Engineering, University of Eyvanekey, Eyvanekey, Iran
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Choosing the proper location is one of the most important implementation activities in industrial engineering for large-scale projects. So far, most researches has been done in this field. Location studies location is such important that today, it is used for places on the agenda, but these proceedings must be based on scientific approaches. Appropriate studies for location, in addition to the economic impact, has an influence on the performance of industrial units, social, environmental, cultural and economic affects in the constructed area. In this article we have tried to identify key factors to select proper place for insurance branches to be totally scientific, so that the ultimate decision maker ensures that the process of site selection be precise and comprehensive and make sure that it is not based on personal judgment. In this process it is important to consider all factors in location optimal insurance branches as well as the views of different interest groups in the deployment location.
Location, Insurance Branches, Fuzzy Logic
To cite this article
Sahar Ataee Ashtiani, Alimohamad Ahmadvand, Hossein Eghbali, Study Key Factors in Selecting Proper Location for Insurance Branches, International Journal of Management and Fuzzy Systems. Vol. 4, No. 3, 2018, pp. 46-52. doi: 10.11648/j.ijmfs.20180403.12
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This article is an open access article distributed under the Creative Commons Attribution License ( which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Niknam, Omid Ali. (1385). Formulation of appropriate decision making for optimal locating of insurance agencies deployment using fuzzy logic-based approach, Journal of the insurance industry, Fall, No. 83, 29-50.
Schmid, V., and Doerner, K. F. (2010). Ambulance Location and Relocation Problems with Time-dependent Travel Times. European Journal of Operational Research, 207(3), 1293-1303.
Mottaghi, Hayedeh. (1383). Production and operations management, Kiumars publication.
Mahdipour, Fatemeh. (1380). A pattern for locating based on multi-criteria decision-making methods in GIS, GIS master's student paper, Khajeh Nasir University.
Parhizgar, Akbar. (1376). Presenting proper pattern for locating urban service centers, Ph. D. Thesis, Tarbiat Modarres University.
Jiaxi, L. (2003). Multi Functional Parking Facility site selection in tourist towns: A case study of Chang yang, China, M. S thesis International Institute for Geo Information science and earth Observation.
Craig, C. S., Ghosh, A., and McLofferty, S. (1984). Models of retail location process: a review, international Journal of Retailing, vol.60, no. 1.
Bach, L. (1980). Location models for systems of private and public facilities based on concepts of accessibility and access opportunity, Environmental and planning (A), no 12.
Drenzer, Z. V. I. (1995). Facility location: A survey of applications and methods, Springer.
Finch, B. J. (2003). Operation prices (value, and profitability), McGrave Hill, New York.
Meshkani Farahani, Leila. (1385). Presenting locating for car insurance agencies pattern based on the opinions of Parsian bank insurance experts using Analytical Hierarchy Process (AHP) approach, Master's thesis, Tarbiat Modarres University, Faculty of Humanities.
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