GLASSHOUSE LOCATING BASED ON SWARA-COPRAS APPROACH

被引:44
作者
Haghnazar Kouchaksaraei, Ramtin [1 ]
Hashemkhani Zolfani, Sarfaraz [2 ,3 ]
Golabchi, Mahmood [1 ]
机构
[1] Univ Tehran, Sch Architecture, Coll Fine Arts, Tehran, Iran
[2] Amirkabir Univ Technol, Dept Management Sci & Technol, Technol Foresight Grp, Tehran Polytech, POB 1585-4413, Tehran, Iran
[3] Amirkabir Univ Technol, Tehran Polytech, Futures Studies Res Inst, Tehran, Iran
关键词
Glasshouse; Locating; SWARA; COPRAS; Multi Criteria Decision Making (MCDM); MACHINE-TOOL SELECTION; FUZZY ANP APPROACH; DECISION-MAKING; AHP; VENTILATION; PROJECTS; MODEL;
D O I
10.3846/1648715X.2015.1004565
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
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.
引用
收藏
页码:111 / 122
页数:12
相关论文
共 56 条
[1]   Decision Making in Machine Tool Selection: An Integrated Approach with SWARA and COPRAS-G Methods [J].
Aghdaie, Mohammad Hasan ;
Hashemkhani Zolfani, Sarfaraz ;
Zavadskas, Edmundas Kazimieras .
INZINERINE EKONOMIKA-ENGINEERING ECONOMICS, 2013, 24 (01) :5-17
[2]   MARKET SEGMENT EVALUATION AND SELECTION BASED ON APPLICATION OF FUZZY AHP AND COPRAS-G METHODS [J].
Aghdaie, Mohammad Hasan ;
Hashemkhani Zolfani, Sarfaraz ;
Zavadskas, Edmundas Kazimieras .
JOURNAL OF BUSINESS ECONOMICS AND MANAGEMENT, 2013, 14 (01) :213-233
[3]   PRIORITIZING CONSTRUCTING PROJECTS OF MUNICIPALITIES BASED ON AHP AND COPRAS-G: A CASE STUDY ABOUT FOOTBRIDGES IN IRAN [J].
Aghdaie, Mohammad Hasan ;
Hashemkhani Zolfani, Sarfaraz ;
Zavadskas, Edmundas Kazimieras .
BALTIC JOURNAL OF ROAD AND BRIDGE ENGINEERING, 2012, 7 (02) :145-153
[4]  
[Anonymous], 1980, ANAL HIERARCHY PROCE, DOI DOI 10.1016/J.SCITOTENV.2019.135554
[5]  
[Anonymous], TIME SAVER STANDARDS
[6]   A MULTI-CRITERIA EVALUATION OF CONTAINER TERMINAL TECHNOLOGIES APPLYING THE COPRAS-G METHOD [J].
Barysiene, Jurgita .
TRANSPORT, 2012, 27 (04) :364-372
[7]   A laboratory experiment of shear-induced natural ventilation [J].
Chu, Chia Ren ;
Chen, Ren-Hao ;
Chen, Jhao-Wei .
ENERGY AND BUILDINGS, 2011, 43 (10) :2631-2637
[8]  
Church R.L. Murray., 2009, BUSINESS SITE SELECT
[9]  
Das ManikChandra., 2012, Socio-Economic Planning Sciences, V46, P230, DOI DOI 10.1016/J.SEPS.2011.12.001
[10]  
Daskin M.S., 1995, NETWORK DISCRETE LOC, DOI DOI 10.1016/j.cor.2006.01.003