Greenhouse Locating Based on Anp-Copras-G Methods – An Empirical Study Based on Iran

Rezaeiniya, Nahid; Zolfani, Sarfaraz Hashemkhani; Zavadskas, Edmundas Kazimieras

doi:10.3846/1648715x.2012.686459

Cited by 47 publications

(24 citation statements)

References 35 publications

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Section: Identification Of Necessary Criteria For Glasshouse Locatingmentioning

confidence: 99%

“…The first point should be considered to design greenhouses is to choose the suitable site (location), (Jaafarnia, Homaei 2009;Rezaeiniya et al 2012Rezaeiniya et al , 2014. Designers have to consider a number of factors in greenhouse locating: heating supply, greenhouse expansion plans, access to electricity, access to specialized labor, access to fuel (Jaafarnia, Homaei 2009; Rezaeiniya et al 2012Rezaeiniya et al , 2014. Greenhouse is a place which covered by transparent or translucent materials and its temperature, light, humidity and other environmental factors should be managed (Hasandokht 2005;Rezaeiniya et al 2012Rezaeiniya et al , 2014.…”

Section: Identification Of Necessary Criteria For Glasshouse Locatingmentioning

confidence: 99%

“…Greenhouse is a place which covered by transparent or translucent materials and its temperature, light, humidity and other environmental factors should be managed (Hasandokht 2005;Rezaeiniya et al 2012Rezaeiniya et al , 2014. Land costs, construct costs, accessibility of raw materials (Hasandokht 2005;Rezaeiniya et al 2012Rezaeiniya et al , 2014, use of appropriate soil, labor costs, access to proper transportation (Hasandokht 2005;Jaafarnia, Homaei 2009;Rezaeiniya et al 2012Rezaeiniya et al , 2014, land topography, proximity to market, access to adequate water (Jaafarnia, Homaei 2009;Mollahoseini, Seylsepur 2008;Rezaeiniya et al 2012Rezaeiniya et al , 2014, are a part of the important criteria for greenhouse locating.…”

Section: Identification Of Necessary Criteria For Glasshouse Locatingmentioning

confidence: 99%

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Glasshouse Locating Based on Swara-Copras Approach

Kouchaksaraei

Zolfani

Golabchi

2015

International Journal of Strategic Property Management

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ABSTRACT.Glasshouse is a kind of greenhouse that is larger than prevalent greenhouses. Glasshouses may have wide various applications and totally, is more applicable than greenhouse. One important point about glasshouse that should be considered is selecting a good location. Besides, finding a suitable location for this purpose is so hard because establishing a glasshouse needs a large area. Financial justification which is a major issue in glasshouse Investments highlights the importance of its locating. This research is based on strategic property management perspectives and its results can be used to properly locate an economically justifiable glasshouse in both governmental and private levels. There are some other important criteria affects on this issue. This research aimed at presenting new hybrid framework for glasshouse locating based on two MCDM methods. SWARA and COPRAS are applied in this research for glasshouse locating. This methodology for the first time is applied in a research. SWARA is applied for evaluating criteria and COPRAS is applied for evaluating alternatives. For illustrating the research methodology, a case study in Tehran, Iran is presented in the research. This research can be useful as a framework for this aim and also has the advantage to apply in other research areas.

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Section: Identification Of Necessary Criteria For Glasshouse Locatingmentioning

confidence: 99%

Section: Identification Of Necessary Criteria For Glasshouse Locatingmentioning

confidence: 99%

Section: Identification Of Necessary Criteria For Glasshouse Locatingmentioning

confidence: 99%

See 1 more Smart Citation

Glasshouse Locating Based on Swara-Copras Approach

Kouchaksaraei

Zolfani

Golabchi

2015

International Journal of Strategic Property Management

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“…Thus, the alternative L1 is superior to the others and the ranking presented in Table 17 is acceptable. MAIRCA presents a new MCDA method so it should be compared with other already proven methods. There are different studies associated with location selection decisions that have been commonly carried out by using multi-criteria decision-making techniques, location problems with MOORA and COPRAS method [67][68][69], selecting distribution centers for a firm and location choice of distribution centers with VIKOR [70], location selection of logistics centres based on Fuzzy AHP and TOPSIS [71], and selection of logistics centres' locations with fuzzy TOPSIS based on entropy weight [72]. The methods VIKOR, TOPSIS, MOORA and COPRAS are proposed in the previously stated references as prominent for location ranking.…”

Section: Sensitivity Analysismentioning

confidence: 99%

The Combination of Expert Judgment and GIS-MAIRCA Analysis for the Selection of Sites for Ammunition Depots

et al. 2016

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This paper suggests spatial multi-criteria model in order to assist decision makers in the selection of sites which are suitable for ammunition depots (AD). They represent military facilities which have more criteria that need to be matched than civil structures. The proposed model is based on combined use of Geographic information systems (GIS) and multi-criteria techniques. The model application is presented in the case study of Carpathian region, the Eastern part of Serbia. The model deals with nine restrictions and six evaluation criteria. Decision Making Trial and Evaluation Laboratory-Analytic Network Process (DEMATEL-ANP) multi-criteria techniques are used to determine weight coefficients of evaluation criteria. Along with the above mentioned methods, this paper introduces a new technique for the multi-criteria decision making-MAIRCA (MultiAttributive Ideal-Real Comparative Analysis) method. The MAIRCA method is used for the ranking and selection of suitable locations. The results have shown that 45 km 2 of the Carpathian region is very suitable for ammunition depot construction. The MAIRCA method chose location L1 as the most appropriate. Sensitivity analysis shows that the model is capable of identifying a suitable ammunition depot location. This approach can be helpful in determining suitable ammunition depot locations in other regions with similar geographic conditions and can also be successfully used for the suitability assessment of existing ammunition depots.

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“…For the same problem Aragonés-Beltrán, PastorFerrando, García-García, and Pascual-Agulló (2010) proposed ANP and AHP methods. Rezaeiniya, Hashemkhani Zolfani, and Zavadskas (2012) developed the hybrid of MCDM methods -ANP and COPRAS-G -for greenhouse locating. The article by Lee (2015) proposes a strengths, weaknesses, opportunities, and threats -fuzzy analytic network process (SWOT-FANP) analysis of location selection for a second tier city in China.…”

Section: Introductionmentioning

confidence: 99%