Locating Lighting Manufacturing Unit Based on Idrisation Limit Mapping
Subject Areas : GISArezoo Safavian 1 , Mohammad Amani 2
1 - M.Sc. student, Department of Environmental Management, Faculty of Environmental, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran.
2 - - M.Sc. student, Department of Watershed Management, Faculty of Watershed, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran. *(Corresponding Author)
Keywords: buffer, overlay, Massachusetts, location,
Abstract :
In recent years, location studies have emerged as one of the key elements in the success and survival of industrial units. Facility location studies have received much attention both nationally and internationally. Understanding the goals and methods of resolving problems is very important. Locating is one of the engineering sciences of industry which focuses on reducing costs and success of industrial units. Locating centers (locating buildings and centers) consider choosing a location for one or more centers, taking into account other centers and constraints, in order to optimize a specific purpose. This can be the cost of shipping, providing fair service to customers, capturing the largest market, and so on. Location studies require specializations, including: research in operations, decision making methods, geography (geology and weather), engineering economics, computer science, mathematics, marketing, city design, and more. The main issue in this article is to find all the appropriate areas for a light manufacturing plant in a small area in Kazerun. Therefore, after considering the constraints with the buffering tool, overlay appropriate areas were created for the purpose. From the 9221000/74 hectare area, we obtained the 0700000/11 hectare.
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12- Padmavathy,A.S.Ganesha,Raj,K.Yogarajan,N.,Thangavel,p.&Chandrasekhar,M.G 2002.Check Dam Site Selection Using GIS Approach.National Natural Resources Management System,ISRO Headquarters, New BEL Road, AntarikshBhavan,Bangalore-560 094,India. 123_127. pp.
13- Ron Store and Jyrki Kangas., (2001). Integrating spatial Multi-criteria evaluation and expert knowledge for GIS-based habitat suitability modelling, Journal of Landscape and Urban Planning, volume 55, pp 79-93.
14- Tal Svoray, Pua Bar (Kutiel), Tsafra Bannet., (2005). Urban land-use allocation in a Mediterranean ecotone: Habitat Heterogeneity Model incorporated in a GIS using a multicriteria mechanism, Journal of Landscape and Urban Planning, volume 72, pp 337–351.
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1- Ahmad Nazri Muhamad Ludin, Ahris Yaakup, Siti Zalina Abu Bakar, Anuar Maidin, Lily Hammadah Ramle.,(2006). GIS And Planning Support System For Klang Valley Region, Malaysia. In: ASIA GIS 2006, international conference, March 9-10, 2006, Johor, Malaysia.
2- Burrough, P.A. (1990) “Methods of spatial analysis in GIS”. International journal of geographic information system, 4, pp. 221-223.
3- Carver, S. & Openshaw, S. (1992) A Geographic Information Systems approach to locating nuclear waste disposal sites. In: Clark, M., Smith, D. & Blowers, A. (eds): Waste Location: Spatial Aspects of Waste Management, Hazards and Disposal, pp. 105–127. Routledge, London.
4- Chrisman, N. (2002) “Exploring geographic information system”. John Wiley and sons. New york, pp. 143-151.
5- Deren Li, Mingjun Peng, Zhenfeng Shao.,(2006), Design and Implementation of Urban Management and Service Grid Based on Spatial Database, In: ASIA GIS 2006, international conference, March 9-10, 2006, Johor ,Malaysia.
6- Eastman, J.R., Kyem, A.K., Toledano, J., 1993. A procedure for multi-objective decision making in GIS under conditions of conflicting objectives. In: Proceedings of the Fourth European Conference on Geographic Information Systems, 29 March–1 April 1993, and Genoa, Italy.
7- Gary Higgs., (2006), integrating multi-criteria techniques with geographical information Systems in waste facility location to enhance public participation, Journal of Waste Management & Research, volume24, pp 105-117.
8- Giovanni, F. Marco Gardenti, Francesca Capering, Fabio Castelli .2008. A methodology for the pre-selection of suitable sites for surface and underground small dams in arid areas: A case study in the region of Kidal, Mali. Physics and Chemistry of the Earth 74–85. pp.
9- IDRISI for windows software (version 2.008) (1998). Help Menu. Program Modules. Decision support section. Clark University.
10- Malczewski, J., 1999. GIS and Multicriteria Decision Analysis. John Wiley and Sons, New York.
11- Mui-How Phua, Mitsuhiro Minowa., (2005), A GIS-based multi-criteria decision making approach to forest conservation planning at a landscape scale: a case study in the Kinabalu Area, Sabah, Malaysia, Journal of Landscape and Urban Planning, volume 71, pp 207-222.
12- Padmavathy,A.S.Ganesha,Raj,K.Yogarajan,N.,Thangavel,p.&Chandrasekhar,M.G 2002.Check Dam Site Selection Using GIS Approach.National Natural Resources Management System,ISRO Headquarters, New BEL Road, AntarikshBhavan,Bangalore-560 094,India. 123_127. pp.
13- Ron Store and Jyrki Kangas., (2001). Integrating spatial Multi-criteria evaluation and expert knowledge for GIS-based habitat suitability modelling, Journal of Landscape and Urban Planning, volume 55, pp 79-93.
14- Tal Svoray, Pua Bar (Kutiel), Tsafra Bannet., (2005). Urban land-use allocation in a Mediterranean ecotone: Habitat Heterogeneity Model incorporated in a GIS using a multicriteria mechanism, Journal of Landscape and Urban Planning, volume 72, pp 337–351.
15- Tim, S.2010.Manual Small Earth Dams (A guide to siting,design and construction).124 pp.
16- Singh,J.P.darshdeep Singh, P.K. litoria,2009. Selection of Suitable Site for water harvesting Structures in SoankhadWatershed,Punjab using Remote Sensing and Geographical Information System (RS&GIS) Approach-A Case Study.Indian.21-35.pp.