“…The combination of the two approaches, therefore, offers an intermediate case. The WASPAS technique has been applied for energy system management [77,78], third-party logistics providers [79] and indoor construction [80], among others. Jahan [81] extended the WASPAS technique for target-based normalization.…”
The teahouse market has seen an expansion across various countries. In order to identify the most reasonable paths for development, the choice of location for the outlets needs to account for a number of conflicting criteria. Therefore, the multicriteria approach is required to effectively handle the location selection problem. In this paper, we develop a multicriteria framework for teahouse selection and apply it in the context of Lithuania. The indicator system is set up in order to capture the different aspects of the candidate locations. We also apply two multicriteria decision-making techniques (the evaluation based on distance from average solution (EDAS) method and the weighted aggregated sum product assessment with normalization (WASPAS-N) method) in order to ensure the robustness of the results. The weights of criteria were determined based on the expert survey. In addition, a Monte Carlo simulation was applied to check the sensitivity in changes of the criterion weights. The empirical application demonstrated validity of the proposed approach in choosing the optimal location of a teahouse.
“…The combination of the two approaches, therefore, offers an intermediate case. The WASPAS technique has been applied for energy system management [77,78], third-party logistics providers [79] and indoor construction [80], among others. Jahan [81] extended the WASPAS technique for target-based normalization.…”
The teahouse market has seen an expansion across various countries. In order to identify the most reasonable paths for development, the choice of location for the outlets needs to account for a number of conflicting criteria. Therefore, the multicriteria approach is required to effectively handle the location selection problem. In this paper, we develop a multicriteria framework for teahouse selection and apply it in the context of Lithuania. The indicator system is set up in order to capture the different aspects of the candidate locations. We also apply two multicriteria decision-making techniques (the evaluation based on distance from average solution (EDAS) method and the weighted aggregated sum product assessment with normalization (WASPAS-N) method) in order to ensure the robustness of the results. The weights of criteria were determined based on the expert survey. In addition, a Monte Carlo simulation was applied to check the sensitivity in changes of the criterion weights. The empirical application demonstrated validity of the proposed approach in choosing the optimal location of a teahouse.
“…Various methods are available for supporting complex decisions in construction. Some of them are as follows: Kaklauskas et al (2012) proposed a Passive House model for quantitative and qualitative analyses; in Kuzman et al (2013) AHP (Analytic Hierarchy Process) was used to compare passive house construction types; Brown et al (2013) used decision making for assessing renovation; in the work of Bucoń and Sobotka (2015), the alternatives of residential building repair are evaluated, while Cannemi et al (2014), Bhanot and Jha (2012) used decision making as a support tool for policy making; in Kalibatas et al (2011Kalibatas et al ( , 2012, Zavadskas et al (2016) the indoor environment was evaluated from the perspective of an ideal alternative; in the work of Chen et al (2014) MADM was used for evaluating the impacts of VOC emissions in the US single-family houses; Hopfe et al (2013) assessed building performance; in Książek et al (2015) decision-making in construction project development was described; in Zagorskas et al (2014) MADM was used for evaluating thermal insulation alternatives of historical brick buildings in the Baltic Sea Region and Augutis et al (2014) used MADM for assessing energy infrastructure. The papers of Zavadskas et al (2014), Mardani et al (2015aMardani et al ( , 2015b presented the surveys of MADM methods.…”
Section: Using Madm Methods In Constructionmentioning
There are many various methods, techniques and materials for constructing multifunctional inverted flat roofs now. However, in practice, the constructed roofs of this type often have various defects, whose elimination is rather costly. To solve this problem, the analysis of multifunctional inverted flat roofs has been performed and their advantages and disadvantages, as well as building defects and mistakes made in the course of construction, have been demonstrated. Damp-proofing materials available on the market for making waterproofing membranes for multifunctional inverted flat roofs have been evaluated. The problem of choosing the most effective membrane alternative for the investigated type of roofs is solved by analysing ten alternatives with the help of multi-criteria evaluation method, SAW and three game theory rules determined by Hurwicz, Laplace and Bayes, as well as LEVI 3.0 program. The analysis of the results has shown that the alternative No. 5 is the best membrane alternative among the ten considered options.
“…where i D and i D represent the ideal and not-ideal distances for alternative i, respectively, i D represents the closeness coefficient of alternative i. Zavadskas et al (2016) introduced the concept of using the weighted sum model (WSM) and the weighted product model (WPM) results in evaluating alternatives. They termed this process a WASPAS method.…”
The electricity generation policy is a strategic policy that drives development in a community. Energy policies are often analyzed with the aim of generating a reliable and affordable electricity for a community. There is a high probability of achieving this aim when energy policy is combined with a community social, technical, economic and environmental needs. This paper determines a hybrid renewable energy source (HRESs) for a rural community using technical, economic, and techno-economic criteria. The selection process combines Criteria Importance Through Inter-criteria Correlation (CRITIC) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) as a solution method. This approach applicability was tested using six HRESs under economic and technical criteria. Ten technical and nine economic criteria were simulated for the HRESs using HOMER. The results from the HOMER software show that A5(PV/wind/battery) and A6 (PV/battery) had a renewable fraction of 1. The results obtained from the CRITIC method showed that the most important technical and economic criteria were diesel generator and total fuel cost, respectively. From an economic perspective, the best HRES for the case study was A4 (diesel/batteries), while A3 (wind/diesel generator/batteries) was the best HRES from a technical and techno-economic perspectives.
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