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Shaikh, Salman Ahmed, Mohsin Memon, and Kyoung-Sook Kim. "A Multi-Criteria Decision-Making Approach for Ideal Business Location Identification." Applied Sciences 11, no. 11 (May 28, 2021): 4983. http://dx.doi.org/10.3390/app11114983.
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Location has always been a primary concern for business startups to be successful. Therefore, much research has focused on the problem of identification of an ideal business site for a new business. The process of ideal business site selection is complex and depends on a number of criteria or factors. Since the ultimate goal of all businesses is to increase customer footprints and to thus increase sales, criteria including traffic accessibility, visibility, ease of access, vehicle parking, customers availability, etc. play important roles. In other words, we can say that optimal business site selection is a multi-criteria decision-making (MCDM) problem. MCDM is used to identify an optimal solution or decision out of many alternatives by utilizing a number of criteria. In mathematics, there exist a number of structured techniques for organizing and analyzing complex decisions, for instance, AHP, ANP, TOPSIS, etc. In this work, we present a hybrid of two such techniques to solve the MCDM problem for an optimal business site selection given a set of candidate sites. The proposed approach is based on the AHP (Analytic Hierarchy Process) and TOPSIS (The Technique for Order of Preference by Similarity to Ideal Solution) approaches. The reason for using the proposed hybrid approach is multi-fold. The hybrid approach reduces the computational complexity and require less manual effort, thus improving the efficiency and accuracy of the proposed approach. Given a set of candidate locations for a new business, the proposed approach ranks the candidates. Thus, the candidate locations with higher ranks are identified as suitable or ideal. The approach comes up with the ranking of all of the candidate locations, thus giving business managers room to make calculated decisions. To show the effectiveness of the proposed approach, a detailed step-by-step case study is given to identify an ideal location in New York City for a new gas station. Furthermore, an experimental evaluation is also presented using a number of real New York City datasets.
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Islam, Md Mahbubul, Tanjim Mahmud, and Mohammad Shahadat Hossain. "Belief-Rule-Based Intelligent Decision System to Select Hospital Location." Indonesian Journal of Electrical Engineering and Computer Science 1, no. 3 (March 1, 2016): 607. http://dx.doi.org/10.11591/ijeecs.v1.i3.pp607-618.
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<em>The general public’s demand of Bangladesh for safe health is rising promptly with the improvement of the living standard. However, the allocation of limited and unbalanced medical resources is deteriorating the assurance of safe health of the people. Therefore, the new hospital construction with rational allocation of resources is imminent and significant. The site selection for hospital is one of the crucial policy-related decisions taken by planners and policy makers. The process of hospital site selection is inherently complicated because of this involves many factors to be measured and evaluated. These factors are expressed both in objective and subjective ways where as a hierarchical relationship exists among the factors. In addition, it is difficult to measure qualitative factors in a quantitative way, resulting incompleteness in data and hence, uncertainty. Besides it is essential to address the subject of uncertainty by using apt methodology; otherwise, the decision to choose a suitable site will become inapt. Therefore, this paper demonstrates the application of a novel method named belief rule-based inference methodology-RIMER base intelligent decision system(IDS), which is capable of addressing suitable site for hospital by taking account of large number of criteria, where there exist factors of both subjective and objective nature.</em>
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Mia, Md Mahashin, Atiqur Rahman, and Mohammad Shahadat Hossain. "Evidential reasoning based decision system to select health care location." International Journal of Advances in Applied Sciences 9, no. 3 (September 1, 2020): 201. http://dx.doi.org/10.11591/ijaas.v9.i3.pp201-210.
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<span>The general public’s demand of Bangladesh for safe health is rising promptly with the improvement of the living standard. However, the allocation of limited and unbalanced medical resources is deteriorating the assurance of safe health of the people. Therefore, the new hospital construction with rational allocation of resources is imminent and significant. The site selection for establishing a hospital is one of the crucial policy-related decisions taken by planners and policy makers. The process of hospital site selection is inherently complicated because of this involves many factors to be measured and evaluated. These factors are expressed both in objective and subjective ways where as a hierarchical relationship exists among the factors. In addition, it is difficult to measure qualitative factors in a quantitative way, resulting incompleteness in data and hence, uncertainty. Besides it is essential to address the subject of uncertainty by using apt methodology; otherwise, the decision to choose a suitable site will become inapt. Therefore, this paper demonstrates the application of a novel method named belief rule-based inference methodology-RIMER base intelligent decision system(IDS), which is capable of addressing suitable site for hospital by taking account of large number of criteria, where there exist factors of both subjective and objective nature.</span>
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Kubáňová, Jaroslava, and Iveta Kubasáková. "Optimal Location of Distribution Site Based on Distance." LOGI – Scientific Journal on Transport and Logistics 12, no. 1 (May 1, 2021): 90–98. http://dx.doi.org/10.2478/logi-2021-0009.
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Abstract For most companies, successful business operation is based on the location at the right place, in the right region, on the right plot. New investments in land, buildings and material handling equipment are carried out for the longer term. As the global business environment in which a company needs to decide on location is becoming more uncertain every day, it is of huge importance to make a thoughtful and ‘future-proof’ decision on the location for a new distribution site. Allocation can also be defined as a process that results in finding a position for a warehouse, company, production, people, things, and activities in a specific area. A newly built distribution site is impossible to be moved in a short period of time, so the decision on where to build a distribution site, warehouse, or manufacturing plant is of vital and strategic importance.
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Moutinho, Luiz, and Bruce Curry. "Modelling Site Location Decisions in Tourism." Journal of Travel & Tourism Marketing 3, no. 2 (July 27, 1994): 35–57. http://dx.doi.org/10.1300/j073v03n02_03.
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Curry, Bruce, and Luiz Moutinho. "Expert Systems for Site Location Decisions." Logistics Information Management 4, no. 4 (April 1991): 19–27. http://dx.doi.org/10.1108/eum0000000002886.
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Lee, Jin. "Understanding site selection of for-profit educational management organization charter schools." education policy analysis archives 26 (July 2, 2018): 77. http://dx.doi.org/10.14507/epaa.26.3024.
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The rise of for-profit EMOs often becomes evidence of substantial shifts in the governance of education, through which schooling may become privatized and commercialized. This study is designed to understand the economic behavior of for-profit educational management organization charter schools, by focusing on their site selection decisions as a critical factor in making a profit. Using the locations of for-profit EMO charter schools in Michigan, the study examines determinants of the location decision on charter school markets, with the choice set of potential school districts. This research finds changes of the odds ratio in the percentage of for-profit EMO charter schools, logged expenditures per pupil, and in the proportions of African-American populations, populations who have experienced higher education, and unemployed populations. Provided that for-profit EMO charter schools make a site selection decision according to areas with certain characteristics, the spatial disparity of access to charter schools can raise issues concerning unequal educational opportunities.
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Harrison, R. Wes, and Pramod R. Sambidi. "A Conjoint Analysis of the U.S. Broiler Complex Location Decision." Journal of Agricultural and Applied Economics 36, no. 3 (December 2004): 639–55. http://dx.doi.org/10.1017/s1074070800026924.
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A national survey of broiler industry executives is conducted to analyze site-specific factors related to the broiler-complex location problem. Conjoint analysis is used to analyze the broiler complex location decision. Feed costs, community attitude toward the broiler industry, availability of geographically concentrated growers, unemployment rates, and wage rates were found to be the top five factors affecting broiler company location decisions. The quality of roads between feed mill and growers; electricity, heating, water, and sewage costs; and the number of potential growers in the region were also found to be important.
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Ma, Congguo, Yudong Yang, Jianguo Wang, Yajuan Chen, and Daokuan Yang. "Determining the Location of a Swine Farming Facility Based on Grey Correlation and the TOPSIS Method." Transactions of the ASABE 60, no. 4 (2017): 1281–89. http://dx.doi.org/10.13031/trans.11968.
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Abstract. Making a multi-attribute decision regarding the location of a swine farming facility is difficult because of the vagueness and uncertainty of the evaluation indicators. In this study, after the main factors affecting swine farming were considered, pork quality and the economic benefits of farming were analyzed. Twenty evaluation indicators were selected to establish an index for determining the location of a swine farming facility based on the analytic hierarchy process (AHP). The values of qualitative and quantitative indicators were normalized to construct a weighted standardized matrix. The application of grey correlation analysis and the technique for order preference by similarity to an ideal solution (TOPSIS) were applied to calculate the overall degree of closeness of each candidate site. The pros and cons of the candidate sites were sorted to construct a location decision model according to the size of the overall degree of closeness. The locations of existing Suqian swine farms were used to validate the location decision method. The result showed that the location decision model could obtain satisfactory results for determining the location of a swine farming facility. Keywords: AHP, Grey correlation, Location decision model, Swine farming location, TOPSIS.
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Phelps, Nicholas A., and Andrew M. Wood. "The business of location: site selection consultants and the mobilisation of knowledge in the location decision." Journal of Economic Geography 18, no. 5 (June 25, 2017): 1023–44. http://dx.doi.org/10.1093/jeg/lbx016.
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Agusta Praba Ristadi Pinem, Siti Asmiatun, and Astrid Novita Putri. "Determination of Industrial Location Using the WASPAS Method with Spatial Data as Criteria Data." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 4, no. 4 (August 17, 2020): 691–96. http://dx.doi.org/10.29207/resti.v4i4.2094.
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Today, the development of the use of spatial data is not only used for information geographic or transportation. But also can be used for site selection with integrating decision support system methods. Generated information can help in making decisions and meet the expected aspects. One method that can be used to support the decision making process is the Weighted Aggregated Sum Product Assessment (WASPAS). WASPAS is included in Multi Criteria Decision Making which can produce selected information from the data or criteria used. This study uses the WASPAS method as a determinant of strategic industrial locations by spatial data collection. In determining strategic industrial locations, WASPAS uses several different criteria and weights for each criterion. The WASPAS method can produce precise information related to the determination of strategic industrial locations. The results of the Spearman Rating trial with data on industrial locations in the city of Semarang show a strong conformity, as seen from the resulting compatibility value of 1.0. The results obtained from this study are the establishment of a system model that supports the decision to determine the location of the industry using the WASPAS method.
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Prakash, Surya, Gunjan Soni, and Ajay Pal Singh Rathore. "A grey based approach for assessment of risk associated with facility location in global supply chain." Grey Systems: Theory and Application 5, no. 3 (November 2, 2015): 419–36. http://dx.doi.org/10.1108/gs-12-2014-0059.
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Purpose – Facility location decisions are critical and should be taken after strategic evaluations. Globalization and integration of economies make such decisions further complex and risk prone. The purpose of this paper is to identify and assess the risk factors to be considered while taking new facility location decision associated with global supply chain and device the methodology. A grey-based multi-criteria decision-making (MCDM) approach is used for this purpose, which also takes in to account the uncertainty in decision making. Such approach enables final decision to be more real and practical. The paper also highlighted and discussed the criteria on the basis of which the management can select the best suitable site. Design/methodology/approach – The risk factors related to facility location for a global firm are identified. To select the location of a global facility with least risk, grey-based MCDM approach is formulated. This grey-based MCDM is demonstrated using the hypothetical case of an industrial valve manufacturing global firm. The grey approach is used to analyse location alternatives based on various decision criteria for extracting comparative ranking. Findings – The paper presents a tool for strategic and planning level. It helps supply chain managers to identify the risks related to a candidate location. Then it guides the supply chain manager at strategic level to find the least risky location for a manufacturing facility. Practical implications – This paper demonstrates the grey-based MCDM approach for determining less risky location to locate a new manufacturing unit so that practitioners can use this approach for taking other strategic decisions. The supply chain configuration can be decided subsequently which will yield more practical results and the decision taken will be more fruitful for firm. Originality/value – The extensive literature review reveals that there are many models in the literature that addressed the issue of risk minimization in supply chain, but it was also noticed that there are limited number of models that minimize risk in locating a global facility considering the uncertainty of data in decision making. This is the first time that grey-based MCDM approach is formulated and used to find most suitable facility location under risk.
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Daneshvar Rouyendegh, Babak, Abdullah Yildizbasi, and Ümmühan Z. B. Arikan. "Using Intuitionistic Fuzzy TOPSIS in Site Selection of Wind Power Plants in Turkey." Advances in Fuzzy Systems 2018 (August 16, 2018): 1–14. http://dx.doi.org/10.1155/2018/6703798.
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The reduction of energy resources and the increase in environmental consciousness have recently increased the interest in renewable energy sources. Wind energy is from renewable energy sources, which are used in many countries. Turkey has a lot alternative wind energy plants thanks to its favorable geographical location. Where the wind power plant is to be established is a complex and important decisive factor. It is very important to select the appropriate wind power plant site to take advantage of wind energy and reduce costs. In this study, we aimed to reach the solution of wind energy plant site selection. For this purpose 4 alternative wind power plant locations have been identified. To evaluate the alternatives, 10 criteria in four dimensions including wind potential, location, cost, and social benefits are selected. Since the Multicriterion Decision Making (MCDM) methods are often used in problem of location selection from past to present, TOPSIS method combined with intuitionistic fuzzy set (IFS) has been used to achieve this goal. The main purpose of the TOPSIS method is to rank the alternatives in the worst way. The IFS are used to reflect approval, rejection, and hesitation of decision makers by dealing with real life uncertainty, imprecision, vagueness, and linguistic human decisions. Finally, a numerical example is applied for wind power plant site selection. In order to demonstrate the effectiveness of IFS, the problem is solved by the Fuzzy TOPSIS method using the same data. Then, the obtained results are compared with the IFS method to show the effectiveness of the proposed method.
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Xi, Rui, Daibo Liu, Mengshu Hou, Yujun Li, and Jun Li. "Using Acoustic Signal and Image to Achieve Accurate Indoor Localization." Sensors 18, no. 8 (August 6, 2018): 2566. http://dx.doi.org/10.3390/s18082566.
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Location information plays a key role in pervasive computing and application, especially indoor location-based service, even though a mass of systems have been proposed, an accurate and practical indoor localization system remains unsettled. To tackle this issue, in this paper, we present a new localization scheme, SITE, combining acoustic Signals and Images to achieve accurate and robust indoor locaTion sErvice. Relying on a pre-deployed platform of acoustic sources with different frequencies, using proactively generated Doppler effect signals, SITE could track relative directions between the phone and the sources. Given m (m≥5) relative directions, SITE can use the angle differences to compute a set of locations corresponding to different subsets of sources. Then, based on a key observation—while the simultaneously estimated locations using different sets of acoustic anchors are within a small circle, the results converge to a point near the true location—SITE proposes a decision scheme that confirms whether these locations satisfy the demand of localization accuracy and can be used to search the user’s location. If not, SITE utilizes VSFM(Visual Structure from Motion) technique to achieve a set of relative locations using some images captured by the phone’s camera. By exploiting the synergy between the set of relative locations and the set of initial locations computed by relative directions, an optimal transformation relationship is obtained and applied to refine the initial calculated results. The refined result will be regarded as the user’s location. In the evaluation, we implemented a prototype and deployed a real platform of acoustic sources in different scenarios. Experimental results show that SITE has excellent performance of localization accuracy, robustness and feasibility in practical application.
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Biemer, Paul P., and Sheryl E. Kimes. "An Application of Bootstrapping for Determining a Decision Rule for Site Location." Journal of Business & Economic Statistics 9, no. 2 (April 1991): 189. http://dx.doi.org/10.2307/1391787.
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Biemer, Paul P., and Sheryl E. Kimes. "An Application of Bootstrapping for Determining a Decision Rule for Site Location." Journal of Business & Economic Statistics 9, no. 2 (April 1991): 189–96. http://dx.doi.org/10.1080/07350015.1991.10509844.
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Wang, Chia-Nan, Chih-Chiang Su, and Van Nguyen. "Nuclear Power Plant Location Selection in Vietnam under Fuzzy Environment Conditions." Symmetry 10, no. 11 (October 26, 2018): 548. http://dx.doi.org/10.3390/sym10110548.
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The demands for energy in general and electrical power in particular in the process of industrialization–modernization in Vietnam are increasing. Although other renewable energy sources such as wind and solar power have been prioritized, they cannot compensate for the shortages of electricity in Vietnam; moreover, traditional energy sources in Vietnam are not endless and will soon reach exhaustion. Nowadays, the government has chosen a solution to maximize domestic energy resources, i.e., develop renewable energy combined with importing coal and gas in appropriate proportions with the construction of nuclear power plants (NPP), which may be the optimal solution to ensure energy security, environmental protection, and sustainable development. However, site selection for construction of a nuclear power plant is one of the most difficult decisions that management faces. Thus, the authors proposed multicriteria decision-making (MCDM), including a fuzzy analytic network process (FANP) and technique for order preference by similarity of an ideal solution (TOPSIS) for NPP location selection in Vietnam. In the first stages of this research, the weight of all criteria and subcriteria will be calculated by an ANP model using fuzzy logic. A TOPSIS model is proposed for ranking all potential locations in the final stage. The results reveal that Binh Thuan is the best place for building an NPP in Vietnam. The contributions of this research include a fuzzy multicriteria decision-making (F-MCDM) approach for NPP site selection in Vietnam. This research also utilizes the evolution of a new approach that is flexible and practical for the decision-maker and provides useful guidelines for NPP site selection in countries around the world.
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Roig-Tierno, Norat, Amparo Baviera-Puig, Juan Buitrago-Vera, and Francisco Mas-Verdu. "The retail site location decision process using GIS and the analytical hierarchy process." Applied Geography 40 (June 2013): 191–98. http://dx.doi.org/10.1016/j.apgeog.2013.03.005.
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Guan, Zhong Mei, and Wei Fang Qiao. "The Research on the Site Selection of Tourist Resort Based on GIS." Applied Mechanics and Materials 357-360 (August 2013): 1674–78. http://dx.doi.org/10.4028/www.scientific.net/amm.357-360.1674.
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The development of GIS technology provides a new approach for the decision-making of Tourist Resort, which can effectively make up for the deficiencies of traditional methods. The site selection of the tourist resort involved the investors’ marketing strategy, the economic characteristics of the market, the traffic characteristics, the natural conditions of the chosen location, the historical and cultural background, the cultural landscape, the decision-making behavior of the government and the residents' attitude, is a process influenced by various factors. Taking the example of a certain tourist resort, extracting some information related to the spatial location by analyzing the factors of tourist resort site selection can solve the tourist resort location problem with the help of spatial analysis functions based on GIS. The result shows that this technology is of great practical value.
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Unal, Muge, Ahmet Cilek, and Esra Deniz Guner. "Implementation of fuzzy, Simos and strengths, weaknesses, opportunities and threats analysis for municipal solid waste landfill site selection: Adana City case study." Waste Management & Research 38, no. 1_suppl (December 17, 2019): 45–64. http://dx.doi.org/10.1177/0734242x19893111.
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The selection of suitable landfill locations for municipal solid waste has become a top priority, especially in developed countries as a result of rapid population growth, unplanned urbanisation, increasing waste production and the limited area available. However, determining the location of landfill sites is a complex decision-making problem for municipalities and depends on social, environmental, technical and economic factors and regulations. In this study, we combined a geographic information system (GIS), multi-criteria decision-analysis techniques and fuzzy logic to determine the best location for landfill sites in Adana, Turkey, in four steps. Firstly, the threshold values and the coefficient weights of 15 criteria, grouped into environmental and socio-economic factors, were determined by a literature review and expert opinion to select suitable landfill locations. Secondly, selection criteria were standardised using fuzzy logic. Thirdly, we assessed the criteria weights based on their effectiveness on the selection of potential landfill sites using the Simos method. According to the weight coefficients, environmental factors are more important than socio-economic factors. Final maps for each criterion were calculated and overlaid by a GIS. As a result, the final suitability results were divided into four discrete categories: very high, high, moderate and low suitability areas, representing 1%, 76%, 17% and 6% of the location options, respectively. Finally, four different alternative areas were identified as being very highly suitable for landfill locations, which were evaluated in detail using a strengths, weaknesses, opportunities and threats analysis. Three key aspects affect the final decision of a landfill site, in decreasing order of importance: environmental protection, minimising the negative impact on urban life quality and economic issues. Consequently, these results can guide decision-makers (ministries, municipalities, planners, etc.) during the selection of suitable landfill sites in both national and international studies.
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Li, Xiang, Fahui Wang, and Hong Yi. "A two-step approach to planning new facilities towards equal accessibility." Environment and Planning B: Urban Analytics and City Science 44, no. 6 (June 29, 2016): 994–1011. http://dx.doi.org/10.1177/0265813516657083.
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A recent advancement in location-allocation modeling proposes a new objective of minimizing inequality of accessibility. Existing work considers the planning problem as either selecting new sites or adjusting facility capacities, separately. This paper develops a two-step hybrid approach to the problem by optimizing both locations and capacities of facilities towards equal accessibility. A genetic algorithm is first employed to find the best locations to site new facilities, and then a quadratic programming method is used to determine the best capacity of each facility within a pre-defined range. The sequence is consistent with many decision-making practices. Results of a series of experiments demonstrate that location optimization reduces inequality in accessibility more significantly than capacity optimization. The two-step optimization method can be applied for sequential allocation decision-makings towards maximum equal accessibility.
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Deng, Xuchen, and Shaojian Qu. "Cross-Docking Center Location Selection Based on Interval Multi-Granularity Multicriteria Group Decision-Making." Symmetry 12, no. 9 (September 22, 2020): 1564. http://dx.doi.org/10.3390/sym12091564.
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Cross-docking is a new logistics model. The location planning of the crossover center is one of the important issues in logistics management. The location of the cross-docking center is not only a technical issue, but also a management issue. This is a decision made by senior leaders after considering various factors. Therefore, considering the decision-making method, a multicriteria group decision-making method based on an interval multi-granularity language model is proposed. It is suitable for non-static frameworks where the decision-making environment changes at any time during the process. Due to the uncertainty of the location information of the cross-docking center, experts can use their favorite language tag set to provide preferences, so a multi-granular interval fuzzy language model is used to enable experts to reliably provide preference values. At the same time, taking into account the formula threshold for decision-making, after a limited round of discussions, decision-making experts, site selection criteria, and site alternatives can be changed arbitrarily so that when the final opinion is reached, the consensus of experts reaches this threshold. Finally, through the numerical calculation of the site selection center, it is found that the experts will reach a higher level of consensus when joining the experts who change their status. The validity of the method is verified, and the feasibility and applicability of the proposed method are shown.
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Haque, Md Nazmul, Mizbah Ahmed Sresto, and Sharmin Siddika. "Suitable Locations for Industrial Setup in Urban Context: Way Forward To Meet the SDGs for Khulna City, Bangladesh." International Journal of Built Environment and Sustainability 8, no. 2 (May 11, 2021): 89–102. http://dx.doi.org/10.11113/ijbes.v8.n2.679.
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Industrial Site selection is one of the rudimentary decisions to expand or relocate any business start-up process. This paper aimed at finding suitable location for possible industrial site as per reaching the SDGs taking Khulna City as a case. For instance, the targeted SDGs Goal 9: Resilient Infrastructure, Sustainable Industrialization and Innovation. The research also focused on the existing locations of the industries in the Khulna city and filled the gap to propose the new locations. To achieve this, a three-stage method have been adopted. At first, the existing industries were categorized on the basis of basic/non-basic, small/large scale, input/output characteristics in geo-spatial environment. Location Quotient (LQ) technique was applied to detect basic, non-basic industries and industrial zone. Then, Analytic Hierarchy Process (AHP) was conducted to define weights of important criterion such as temperature, slope, water body, land use, city center, connectivity and structures. The calculation of Consistency Ratio (CR<0.1) showed rational consistency of the factors. Finally, Multi Criteria Decision Analysis (MCDA) was adopted in GIS platform to address the suitable locations. The analysis shows 10% of the total KCC area is suitable for constructing industrial zones. According to the results most of the suitable land was found in the eastern side and a few suitable lands was found in the upper western part of the map. Another findings state that, 5% change in vacant land can increase this percentage to 17% which eventually escalates sustainability, resilience and locational advantages. In addition, the study assesses the land use change in Khulna City Corporation for recent years which have potential for industrial establishment through land suitability analysis (LSA) to emphasize both land use and industries with sustainable development
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Wang, Chia-Nan, Nguyen Thanh, and Chih-Chiang Su. "The Study of a Multicriteria Decision Making Model for Wave Power Plant Location Selection in Vietnam." Processes 7, no. 10 (September 23, 2019): 650. http://dx.doi.org/10.3390/pr7100650.
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With about a 7% average annual economic growth rate in Vietnam, the demand for electricity production is increasing, and, with more than 3000 km of coastline, the country has great potential for developing wave energy sources to meet such electricity production. This energy source, also known as renewable energy, comes from tides, wind, heat differences, flows, and waves. Both wind and wave energy are considered to have the most potential for energy sources in Vietnam. Just as hydropower projects are controversial due to depleting water resources and regulating floods, nuclear power projects cause safety concerns. To overcome this problem, Vietnamese scientists are considering using abundant wave energy resources for electricity. Nowadays, the ocean energy sector offers many new technologies to help minimize carbon dioxide emissions (CO2) in the living environment. Further, many countries already have wave power plants. In this research, an integrated model, combining the fuzzy analytical network process (FANP) and the technique for order of preference by similarity to ideal solution (TOPSIS), is proposed for wave energy plant location selection. As a result, Con Co (SITE3) is determined the best site for wave energy production. The primary aim of this study is to provide insight into site selection problems for renewable energy investments of Vietnam. The contribution of this research is to propose a fuzzy multiple-criteria decision-making (MCDM) model for site selection in the renewable energy sector. The proposed model also can address different complex problems in location selection; it is also a flexible design model for considering the evaluation criteria; further, it is applicable to site selection of other renewable energies in the world.
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Buness, Hermann, Gerald Gabriel, and Dietrich Ellwanger. "The Heidelberg Basin drilling project: Geophysical pre-site surveys." E&G Quaternary Science Journal 57, no. 3/4 (April 1, 2009): 338–66. http://dx.doi.org/10.3285/eg.57.3-4.4.
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Abstract. Currently, the Heidelberg Basin is under investigation by new cored research boreholes to enhance the understanding concerning the control on Pliocene and Quaternary sedimentation by (neo)tectonics and climate. The Heidelberg Basin is expected to serve as a key location for an improved correlation of parameters that characterise the climate evolution in North Europe and the Alpine region. The recovery of sediment successions of high temporal resolution that are complete with respect to the deposition of Pleistocene glacials and interglacials in superposition is of special importance. Prior to the new research boreholes in Viernheim and Heidelberg geophysical pre-site surveys were performed to identify borehole locations that best achieve these requirements. In the area of the Heidelberg Basin the strongest negative gravity anomaly of the entire Upper Rhine Graben is observed (apart from the Alps), hinting at anomalously thick sediment deposits. However, especially reflection seismic profiles contributed significantly to the decision about the borehole locations. In the city of Heidelberg for the first time, the depocentre of the Heidelberg Basin, as indicated by additional subsidence compared to its surroundings, was mapped. In this area, sediments dip towards the eastern margin of the Upper Rhine Graben. This is interpreted to represent a rollover structure related to the maximum subsidence of the Upper Rhine Graben in this region. At the Viernheim borehole location the seismic survey revealed several faults. Although these faults are mainly restricted to depths greater than 225 m, the borehole location was fi nally adjusted with respect to this information.
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Faez S. Al-Shihri, Faez S. Al-Shihri. "Model for Industrial Site Selection towards a More Sustainable Dammam Metropolitan Area: Experts-Based Analytic Hierarchy Process." journal of King Abdulaziz University Environmental Design Sciences 10, no. 1 (January 5, 2016): 137–48. http://dx.doi.org/10.4197/env.10-1.5.
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Industrial site selection is the process of choosing the most suitable location(s) that meets the desired requirements set by the selection criteria. Siting an industry is a major long-term investment. In this sense, selection of the most suitable location is imperative in satisfying the social, economic, environmental, and sustainability requirements. Identifying the most suitable site(s) with desired requirements defined by the selection criteria is basically one of the key objectives of industrial site selection. The majority of the data used by managers and decision makers in industrial site selection are geographically related, which denotes the industrial site selection process to be a spatial decision issue. Therefore, this study employed Analytic Hierarchy Process (AHP) model to evaluate the location suitability of the existing industries Dammam Metropolitan Area (DMA) based on a number of decision criteria used in selecting the most suitable industrial sites. Priority weights were calculated after ranking each criterion using the Saaty’s 9 point scale of preference by the experts. Weights were calculated and further normalized through the AHP. The findings of the survey have been used to evaluate the existing and approved industrial sites in DMA. The study have reached an important conclusion and recommendations with regards to the existing and approved industrial sites in DMA.
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Alves, Maria C. M., Beatriz S. L. P. Lima, Alexandre G. Evsukoff, and Ian N. Vieira. "Developing a fuzzy decision support system to determine the location of a landfill site." Waste Management & Research 27, no. 7 (May 26, 2009): 641–51. http://dx.doi.org/10.1177/0734242x09103832.
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Wang, Chia-Nan, Tsang-Ta Tsai, and Ying-Fang Huang. "A Model for Optimizing Location Selection for Biomass Energy Power Plants." Processes 7, no. 6 (June 8, 2019): 353. http://dx.doi.org/10.3390/pr7060353.
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In addition to its potential for wave power, wind power, hydropower, and solar power, it can be said that Vietnam is a country with great potential for biomass energy derived from agricultural waste, garbage, and urban wastewater, which are resources widely available across the country. This huge amount of biomass, however, if left untreated, could become a major source of pollution and cause serious impacts on ecosystems (soil, water, and air), as well as on human health. In this research, the authors present a fuzzy multicriteria decision-making model (FMCDM) for optimizing the site selection process for biomass power plants. All of the criteria affecting location selection are identified by experts and literature reviews; in addition, the fuzzy analytic hierarchy process (FAHP) method was utilized so as to identify the weight of all of the criteria in the second stage. Furthermore, the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) is applied for ranking potential locations in the final stage of this research. As a result, Long An (DMU/005) was found to be the best location for building biomass energy in Vietnam. The main contributions of this work include modeling the site selection decision process under fuzzy environment conditions. The proposed approaches also can address the complex problems in site selection; it is also a flexible design model for considering the evaluation criteria, and is applicable to location selection for other industries.
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Hanawalt, Edward, and William Rouse. "Assessing location attractiveness for manufacturing automobiles." Journal of Industrial Engineering and Management 10, no. 5 (November 27, 2017): 817. http://dx.doi.org/10.3926/jiem.2321.
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Purpose: Evaluating country manufacturing location attractiveness on various performance measures deepens the analysis and provides a more informed basis for manufacturing site selection versus reliance on labor rates alone. A short list of countries can be used to drive regional considerations for site-specific selection within a country.Design/methodology/approach: The two-step multi attribute decision model contains an initial filter layer to require minimum values for low weighted attributes and provides a rank order utility score for twenty three countries studied. The model contains 11 key explanatory variables with Labor Rate, Material Cost, and Logistics making up the top 3 attributes and representing 54% percent of the model weights.Findings: We propose a multi attribute decision framework for strategically assessing the attractiveness of a country as a location for manufacturing automobiles.Research limitations/implications: Consideration of country level wage variation, specific tariffs, and other economic incentives provides a secondary analysis after the initial list of candidate countries is defined.Practical implications: The results of our modeling shows China, India, and Mexico are currently the top ranked countries for manufacturing attractiveness. These three markets hold the highest utility scores throughout sensitivity analysis on the labor rate attribute weight rating, highlighting the strength and potential of manufacturing in China, India, and Mexico.Originality/value: Combining MAUT with regression analysis to simplify model to core factors then using a “must have” layer to handle extreme impacts of low weight factors and allowing for ease of repeatability.
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Braumann, Alfried. "Amazon’s HQ2 Site Selection Criteria: The New ‘Gold Standard’ in FDI Decision-Making." Urban Planning 5, no. 3 (September 29, 2020): 403–17. http://dx.doi.org/10.17645/up.v5i3.3207.
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In 2017–2018, Seattle-based Tech behemoth Amazon executed a highly publicised location-finding process for a $5 billion investment project, dubbed ‘HQ2’. Owing to the combination of high investment volume and the company’s unique public exposure, the HQ2 process is on course to becoming a basic yardstick for future foreign direct investment (FDI) projects all over the world. This article compiles the company’s previously unpublished site selection criteria and develops an evidence-based system of investment decision arguments which is employed to test the currently dominant approaches in location decision theory—behavioural, neoclassical, and institutional. Our results identify gaps vis-à-vis this emerging ‘Gold Standard’ and we propose the addition of a fourth, project-oriented approach to theory to fill the detected shortcomings. Furthermore, this system equips policymakers with a tool to evaluate their investment attraction strategies based on the decision criteria extracted from the HQ2 process.
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Prasertsri, Narueset, and Satith Sangpradid. "Parking Site Selection for Light Rail Stations in Muaeng District, Khon Kaen, Thailand." Symmetry 12, no. 6 (June 25, 2020): 1055. http://dx.doi.org/10.3390/sym12061055.
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Khon Kaen District is in the central, north-east part of Thailand and is being developed to handle the country’s growth. Khon Kaen District is undertaking the project of building a light rail as a facility for the people. Consequently, one of the problems is ensuring adequate parking for people using the light rail service. In general, the symmetry concept naturally used in decision making to finding an optimal solution for decision and optimization problems. In this paper, multi-criteria decision analysis (MCDA) and multi-objective decision making (MODM) were used to solve the parking site selection problem, which made the decision easier. This paper proposed an analytic hierarchy process (AHP) technique, combined with the geographical information system (GIS), to evaluate the weight of the criteria used in the analysis and find potential parking solutions. Furthermore, this paper proposed the application of a linguistic technique with fuzzy TOPSIS methods to analyze the appropriateness of parking site selections from potential candidates to support use of the light rail. The results of the MCDA show that the most suitable parking lot location is along the light rail and closest to the business area. The results of the fuzzy TOPSIS method, both positive and negative ideal decisions, can help inform decision makers in selecting which candidate site is optimal for parking.
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Solangi, Yasir, Qingmei Tan, Muhammad Khan, Nayyar Mirjat, and Ifzal Ahmed. "The Selection of Wind Power Project Location in the Southeastern Corridor of Pakistan: A Factor Analysis, AHP, and Fuzzy-TOPSIS Application." Energies 11, no. 8 (July 26, 2018): 1940. http://dx.doi.org/10.3390/en11081940.
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Pakistan has sufficient wind energy potential across various locations of the country. However, so far, wind energy development has not attained sufficient momentum matching its potential. Amongst various other challenges, the site selection for wind power development has always been a primary concern of the decision-makers. Principally, wind project site selection decisions are driven by various multifaceted criteria. As such, in this study, a robust research framework comprising of factor analysis (FA) of techno-economic and socio-political factors, and a hybrid analytical hierarchy process (AHP) and fuzzy technique for order of preference by similarity to ideal solution (FTOPSIS) have been used for the prioritization of sites in the southeastern region of Pakistan. The results of this study reveal economic and land acquisition as the most significant criteria and sub-criteria, respectively. From the eight different sites considered, Jamshoro has been prioritized as the most suitable location for wind project development followed by Hyderabad, Nooriabad, Gharo, Keti Bandar, Shahbandar, Sajawal, and Talhar. This study provides a comprehensive decision support framework comprising of FA and a hybrid AHP and Fuzzy TOPSIS for the systematic analysis to prioritize suitable sites for the wind project development in Pakistan.
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Shimray, Benjamin A., Kh Manglem Singh, Thongam Khelchandra, and R. K. Mehta. "Ranking of Sites for Installation of Hydropower Plant Using MLP Neural Network Trained with GA: A MADM Approach." Computational Intelligence and Neuroscience 2017 (2017): 1–8. http://dx.doi.org/10.1155/2017/4152140.
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Every energy system which we consider is an entity by itself, defined by parameters which are interrelated according to some physical laws. In recent year tremendous importance is given in research on site selection in an imprecise environment. In this context, decision making for the suitable location of power plant installation site is an issue of relevance. Environmental impact assessment is often used as a legislative requirement in site selection for decades. The purpose of this current work is to develop a model for decision makers to rank or classify various power plant projects according to multiple criteria attributes such as air quality, water quality, cost of energy delivery, ecological impact, natural hazard, and project duration. The case study in the paper relates to the application of multilayer perceptron trained by genetic algorithm for ranking various power plant locations in India.
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Wang, Yuan, Wei Wei Kong, Yu Wang, Feng Hua Wu, and Lu Min Wang. "The Strategy of Site Location Based on Business Area Theory：Case Study of Wal-Mart, Carrefour and Metro in Xi’an." Applied Mechanics and Materials 209-211 (October 2012): 559–62. http://dx.doi.org/10.4028/www.scientific.net/amm.209-211.559.
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Site location is very important factor for a supermarket’s operation. This paper proposed a location model based on business area theory, and three cases, including Wal-Mart, Carrefour and Metro in Xi’an are compared to indicate the model is useful and feasible. The finding may provide direction to new supermarket’s location decision.
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LEE, WEN-SHIUNG. "A NEW HYBRID MCDM MODEL COMBINING DANP WITH VIKOR FOR THE SELECTION OF LOCATION — REAL ESTATE BROKERAGE SERVICES." International Journal of Information Technology & Decision Making 13, no. 01 (January 2014): 197–224. http://dx.doi.org/10.1142/s0219622014500333.
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Real estate brokerage services have developed from individual stores into a chain-store system, and the location of those stores plays a key role in their operation. The purpose of this study is to define and quantify the factors that affect the selection of a site for real estate brokerage services. Mutual relationships between the factors and sub-factors for site selection and their relative weights are also discussed to provide a complete set of decision evaluation models, then how to reduce the gaps to achieve the aspiration level. This research uses a new hybrid Multiple Criteria Decision Making (MCDM) model, combining the Decision Making Trial and Evaluation Laboratory (DEMATEL), DEMATEL-based Analytic Network Process (DANP), and VIšekriterijumsko KOmpromisno Rangiranje (VIKOR) methods to solve these problems. The DEMATEL technique is used to build an influential network relations map, and DANP is expected to obtain the influential weights using the basic concept of Analytic Network Process (ANP), to solve the dependence and feedback problems in the real world. Then, the VIKOR method is used to integrate the performance gaps from criteria to dimensions and overall. As the result shows, there is an interactive and auto-feedback relationship among the four dimensions. Among the 11 evaluation criteria, the income and consumption level is the most important consideration for selection of the site. The number and density of population ranks second in this regard. This study uses VIKOR method for selection of the best site, among three potential sites. Site A is closest to the aspiration level. Site A is better in this regard than the other two sites. The study develops and provides a decision-making system for the site selection in the real estate brokerage services.
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Hidayat, Rahmat, Ade Irmayanti, and Muhammad Tommy. "Implementasi Multi Factor Evaluation Process untuk Penentuan Tempat Pembuangan Akhir Berbasis Web Aplication." Edumatic: Jurnal Pendidikan Informatika 4, no. 2 (December 20, 2020): 103–11. http://dx.doi.org/10.29408/edumatic.v4i2.2635.
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Determining the final waste disposal site is a complex problem for Lamandau Regency, which is a developing district, the more people there are every year, the more waste is produced. However, determining the location is still done subjectively without considering the influencing factors and is still manual. In problems like this, the decision support system can be used as a solution to help make decisions. This study aims to implement a decision support system in determining the final disposal site using the Multi-Factor Evaluation Process (MFEP) method which is applied in the form of a Web Application using a prototype model. In determining the final disposal site, there are 5 criteria to be assessed, namely: Cover Land with an initial weight of 0.2, Rain Intensity with an initial weight of 0.1, Nature Reserve with an initial weight of 0.2, Agriculture with an initial weight of 0.3 and Entrance roads with an initial weight of 0.2, and the number of alternatives consists of 5 locations. The findings show that the error rate of this system is below 5%. After testing all modules or system components, all of them were successful and feasible to be used as a tool in determining the final place of development.
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Yu, Hang, and Kai Zhang. "Fuzzy Mathematics Theory in Logistics Center Address Selection of Application." Advanced Materials Research 989-994 (July 2014): 5555–58. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.5555.
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Logistics center address selection is logistics system of strategic investment decision-making problem, the whole site whether reasonable logistic system has important implications. According to the principle of modern logistics center location affect the location of the factor analysis, through the system of fuzzy comprehensive evaluation method of center location mathematical model, and taking a regional logistics center location for example was introduced in detail.
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Estay, Manuel, and Carlos Chávez. "Location decisions and regulatory changes: the case of the Chilean aquaculture." Latin American Journal of Aquatic Research 43, no. 4 (February 28, 2017): 700–717. http://dx.doi.org/10.3856/vol43-issue4-fulltext-9.
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We study the development of aquaculture activities in Chile and the impacts of regulatory changes on location decision for aquaculture production centers. Our study considers a descriptive analysis on the spatial and temporal development of aquaculture production centers. Next, using a panel data we estimate a site selection model to explore determinant factors of site choices for aquaculture production. Our results suggest a clear pattern for the spatial-temporal development of Chilean aquaculture. The pattern is characterized by a movement of the production centers towards the south of Chilean Patagonia, changing the concentration of the production activities from Puerto Montt to the southern region of Chiloé Island. The estimation of a model of site selection suggests that the distance between production centers and the presence of centers devoted to the production of the same species are relevant in explaining the movement of the production activities towards the southern region. The regulatory changes seem to be important determinant factors for the observed spatial and temporal pattern of development of the aquaculture industry in the country.
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Jeong, Ha-Myoung. "The U.S. Supreme Court’s Recent Decision About historical Cell Site Location Information: Carpenter v. U.S." IT & LAW REVIEW 18 (February 28, 2019): 95–120. http://dx.doi.org/10.37877/itnlaw.2019.02.18.4.
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Wood, Steve, and Andrew Tasker. "The importance of context in store forecasting: The site visit in retail location decision-making." Journal of Targeting, Measurement and Analysis for Marketing 16, no. 2 (March 2008): 139–55. http://dx.doi.org/10.1057/jt.2008.3.
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Bayhaqqi, Bayhaqqi, Saiful Bukhori, and Gayatri Dwi Santika. "Implementasi Metode Hybrid AHP dan TOPSIS pada Sistem Pendukung Keputusan Pemilihan Lokasi Tempat Pembuangan Sampah Sementara." INFORMAL: Informatics Journal 6, no. 2 (August 30, 2021): 82. http://dx.doi.org/10.19184/isj.v6i2.25648.
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Temporary Waste Disposal Site (TPSS) is a place to collect waste from various community activities which will later be transported to the final disposal site by garbage trucks. There are many considerations in choosing a TPSS location, so the selection of a TPSS location is very important in supporting the collection of waste that will be transported to final disposal. The Jember Regency Environmental Service is an agency in charge of waste management, including the selection of TPSS locations. Choosing the location of TPSS so far is still manual, where manual selection cannot be separated from human error, so that choosing the location of TPSS is not accurate can cause new problems in the community. In addition, there is no standardized assessment system in the TPSS selection process, so a decision support system is needed that can be used to assist the process of selecting the best TPSS location recommendations. In making this research system, we implemented the hybrid method of AHP and TOPSIS. Where the AHP method is used to determine the weight of the criteria while the TOPSIS method is used for the selection process for TPSS candidates.
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Deveci, Muhammet, Ibrahim Zeki Akyurt, and Selahattin Yavuz. "A GIS-based interval type-2 fuzzy set for public bread factory site selection." Journal of Enterprise Information Management 31, no. 6 (October 8, 2018): 820–47. http://dx.doi.org/10.1108/jeim-02-2018-0029.
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Purpose The purpose of this paper is to present a new public bread factory location selection for Istanbul Metropolitan Municipality (IMM). Design/methodology/approach A two-stage methodology is proposed to determine the location for the public bread factory facility. This framework is based on both geographic information systems (GIS) and multi-criteria decision-making (MCDM) techniques. The first stage of the methodology aims to decrease the number of possible alternative locations to simplify the selection activity by applying GIS; the second stage utilises interval type-2 fuzzy MCDM approach to exactly determine the public bread factory site location. Findings In this study, the authors present weighted normalised-based interval type-2 hesitant fuzzy and interval type-2 hesitant fuzzy sets (IT2HFSs)-based compressed proportional assessment (COPRAS) methods to overcome facility location selection problem for a fourth public bread factory in Istanbul. Practical implications The results show that the proposed approach is practical and can be employed by the bakery industry. Originality/value In this study, the authors present a two-stage methodology for public bread factory site selection. In the first stage, the number of alternatives is reduced by the GIS. In the second stage, an interval type-2 fuzzy set is implemented for the evaluation of public bakery factory site alternatives. A new integrated approach based on COPRAS method and weighted normalised with IT2HFSs is proposed.
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Vandeviver, Christophe, and Wim Bernasco. "“Location, Location, Location”: Effects of Neighborhood and House Attributes on Burglars’ Target Selection." Journal of Quantitative Criminology 36, no. 4 (October 11, 2019): 779–821. http://dx.doi.org/10.1007/s10940-019-09431-y.
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Abstract Objectives To empirically test whether offenders consider environmental features at multiple spatial scales when selecting a target and examine the simultaneous effect of neighborhood-level and residence-level attributes on residential burglars’ choice of residence to burglarize. Methods We combine data on 679 burglaries by 577 burglars committed between 2005 and 2014 with data on approximately 138,000 residences in 193 residential neighborhoods in Ghent, Belgium. Using a discrete spatial choice approach, we estimate the combined effect of neighborhood-level and residence-level attributes on burglars’ target choice in a conditional logit model. Results Burglars prefer burglarizing residences in neighborhoods with lower residential density. Burglars also favor burglarizing detached residences, residences in single-unit buildings, and renter-occupied residences. Furthermore, burglars are more likely to target residences in neighborhoods that they previously and recently targeted for burglary, and residences nearby their home. We find significant cross-level interactions between neighborhood and residence attributes in burglary target selection. Conclusions Both area-level and target-level attributes are found to affect burglars’ target choices. Our results offer support for theoretical accounts of burglary target selection that characterize it as being informed both by attributes of individual properties and attributes of the environment as well as combinations thereof. This spatial decision-making model implies that environmental information at multiple and increasingly finer scales of spatial resolution informs crime site selection.
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Zeferino, Emanuel Fernando Samasseca, Khumbulani Mpofu, Olasumbo Ayodeji Makinde, Boitumelo Innocent Ramatsetse, and Ilesanmi Afolabi Daniyan. "FR/CoG multi-attribute-based comparison methods for selection of the location of a research institute." Journal of Facilities Management 18, no. 1 (January 2, 2020): 20–35. http://dx.doi.org/10.1108/jfm-09-2019-0050.
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Purpose The determination of the appropriate site for the location of a research institute represents a multi-criteria problem which requires a scientific approach for decision-making. The research centre in this study is an institute that intends to carry out the state-of-the-art research activities and provide the requisite skills to expedite and optimize the manufacturing of rail cars in South Africa. Hence, the selection of a suitable and conducive location capable of achieving these aforementioned objectives in an effective manner is a problem which requires scientific justification for the allocation of the weights and biases. In light of this, using various decision techniques, this paper aims to establish a suitable framework for the location selection of the research institute which is capable of meeting the short- and long-term objectives of the institute. Design/methodology/approach This aim was achieved by ascertaining the suitability of potential location alternatives using the factor rating (FR) and centre of gravity (CoG) technique. Findings The CoG revealed that any location within the longitude of 28.28 and latitude of −25.75 (with a Cartesian coordinate position of 5053.62; 2718.69) is suitable for the research institute, while the result of the FR/weighted score matrix revealed that location J3 with a weighted score of 72.6% is the most suitable location for the research institute with the longitude of 5053.62 and latitude of 2718.69. Practical implications The results of this paper helped decision-makers in locating the given research institute which is currently operational. Originality/value The present study is focussed on the application of location decision techniques in the research institute scenario. The combination of FR and CoG techniques for the selection of the most suitable location for a research institute amidst conflicting criteria has not been widely reported by the existing literature.
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Shah, R. K. "Earthwork Planning and Visualisation of Time-Location Information in Road Construction Projects." Journal of Advanced College of Engineering and Management 1 (May 13, 2016): 75. http://dx.doi.org/10.3126/jacem.v1i0.14924.
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<p>Accurate information of locations from visual aspect is vital for efficient resource planning and managing the workspace conflicts in the earthwork operations, which are missing in the existing linear schedules. Hence, the construction managers have to depend on the subjective decisions and intangible imagining for resources allocation, workspace conflicts and location-based progress monitoring in the earthwork projects. This has caused uncertainties in planning and scheduling of earthworks, and consequently delays and cost overruns of the projects. To overcome these issues, a framework of computer based prototype model was developed using the theory of location-based planning. This paper focuses on the case study experiments to demonstrate the functions of the model, which includes automatic generation of location-based earthwork schedules and visualisation of cut-fill locations on a weekly basis. The experiment results confirmed the model’s capability in identifying precise weekly locations of cut-fill and also visualising the time-space conflicts at the earthwork projects. Hence, the paper concludes that the model is a useful decision supporting tool to improve site productivity and reduce production cost of earthworks in the construction projects like roads and railways. </p><p><em>Journal of Advanced College of Engineering and Management, Vol. 1, 2015</em>, pp. 75-84</p>
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Yang, Rui, Jinsong Huang, D. V. Griffiths, Jinhui Li, and Daichao Sheng. "Importance of soil property sampling location in slope stability assessment." Canadian Geotechnical Journal 56, no. 3 (March 2019): 335–46. http://dx.doi.org/10.1139/cgj-2018-0060.
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Site investigations provide characterization of soil properties, but inevitable uncertainty remains at locations that have not been examined. Only a limited scope of site investigation can be conducted due to budget and time constraints, hence there are always risks associated with design based on limited investigation information. An efficient geotechnical site investigation should involve choosing the optimal number and location of borehole sites to gain adequate information for a given cost. Using a slope as an example, this paper proposes a framework to find the best sampling location that gives the most information while minimizing the probability of making the wrong decisions. The results suggest that the slope crest appears to be the optimal location to conduct geotechnical site exploration for slope stability assessment.
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Alossta, Abdulaziz, Omar Elmansouri, and Ibrahim Badi. "Resolving a location selection problem by means of an integrated AHP-RAFSI approach." Reports in Mechanical Engineering 2, no. 1 (June 9, 2021): 135–42. http://dx.doi.org/10.31181/rme200102135a.
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The optimal Site selection operation is one of the most important challenges facing planners. Many location-allocation models have been developed based on multi-criteria decision making process. Recent methods take into account site, network, and user characteristics to determine the appropriate location. The development of optimum system has been a growing focus for most authorities across the world. It is generally thought that utlities allocation is the ultimate goal for service providers, which has been attributed to giving assistance in a time- and cost-efficient manner. In this paper, a multi-criteria decision making approach was implemented in two steps. Analytical hierarchy process (AHP) was adopted in the first step to determine the criteria weights. Results of AHP showed that response time had the highest weight among other criteria. Ranking of different alternatives was conducted in the second step using RAFSI model to choose the optimal location. Model ranking clearly indicated road-network as the best alternative to locate EMS centers.
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Akkas, Ozge Pinar, Mustafa Yasin Erten, Ertugrul Cam, and Nihat Inanc. "Optimal Site Selection for a Solar Power Plant in the Central Anatolian Region of Turkey." International Journal of Photoenergy 2017 (2017): 1–13. http://dx.doi.org/10.1155/2017/7452715.
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Primary energy sources are running out due to the increase in electrical energy consumption. Environmental problems caused by primary energy sources are also increasing. Using more renewable energy resources (RES) can be considered as one of the most powerful solutions to address these problems. Today, required photovoltaic power systems (PVPS) and wind energy systems (WES) are widely used as RES for addressing these problems. Because of their high costs, feasibility studies are required for locating large systems associated with these resources. In this study, various suggestions are determined about location selection, which is an important stage in the PVPS’s establishment. Hence, the criteria for selecting the appropriate location are analyzed by the multicriteria decision making (MCDM) methods and the results are evaluated for 5 cities in the Central Anatolian Region of Turkey. In conclusion, it is determined which city is the most suitable place for installation of solar power plants.
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Ali Mohammed, Hussein, Mohammed Neamah Ahmed, and Aymen J. Alsaad. "Evaluation of Sustainable Site Selection Using Analytical Hierarchy Process for Hospitals: Karbala City as A Case Study." International Journal of Engineering & Technology 7, no. 4.20 (November 28, 2018): 347. http://dx.doi.org/10.14419/ijet.v7i4.20.26132.
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Site selection for a hospital location is one of the pivotal strategy- related decisions taken by the government. The selection of a suitable site for a hospital requires consideration of multiple alternative solutions and assessment factors. The present study aims at determine the optimum site out of three alternative sites to build a new hospital in Kerbala city. The main sustainability factors are; urban factors (including size, accessibility, restrictions, availability), environmental factors (including geomorphology, hydrology, vegetation, climate, other environmental factors) and economic factors (including service and utilities, cost) factors. The Analytical Hierarchy Process (AHP) as a multi criteria decision support system was adopted to find the weights of each factor and reach to select the most suitable site from three alternative sites. The results showed the site number (2) was the most sustainable site to construct the hospital project, where the alternative site records a biggest normal index of 0.419.
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Mytilinou, Varvara, Estivaliz Lozano-Minguez, and Athanasios Kolios. "A Framework for the Selection of Optimum Offshore Wind Farm Locations for Deployment." Energies 11, no. 7 (July 16, 2018): 1855. http://dx.doi.org/10.3390/en11071855.
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This research develops a framework to assist wind energy developers to select the optimum deployment site of a wind farm by considering the Round 3 available zones in the UK. The framework includes optimization techniques, decision-making methods and experts’ input in order to support investment decisions. Further, techno-economic evaluation, life cycle costing (LCC) and physical aspects for each location are considered along with experts’ opinions to provide deeper insight into the decision-making process. A process on the criteria selection is also presented and seven conflicting criteria are being considered for implementation in the technique for the order of preference by similarity to the ideal solution (TOPSIS) method in order to suggest the optimum location that was produced by the nondominated sorting genetic algorithm (NSGAII). For the given inputs, Seagreen Alpha, near the Isle of May, was found to be the most probable solution, followed by Moray Firth Eastern Development Area 1, near Wick, which demonstrates by example the effectiveness of the newly introduced framework that is also transferable and generic. The outcomes are expected to help stakeholders and decision makers to make better informed and cost-effective decisions under uncertainty when investing in offshore wind energy in the UK.