Use Of Analytic Hierarchy Process Research Articles

Characterization of groundwater potential zones using analytic hierarchy process and integrated geomatic techniques in Central Middle Atlas (Morocco)

Analytic hierarchy process (AHP) is an invaluable tool that has been applied by different specialists to upgrade their administration capacity. Managing groundwater resources particularly under arid land faces several limitations and problems such as the implications of various spatial factors, which lead managers to utilize multicriteria decision. In this research, a consistent approach was applied to identify groundwater potential (GWP) areas through the use of AHP, geographic information system (GIS), and (RS) techniques in the Central Middle Atlas, Morocco. First of all, the efficient groundwater potential thematic layers including lithology (Lt), karst (K), height above the nearest drainage (HAND) geomorphology, which is called HG, and lineament density (LD) were derived through spatial databases. Then, the weights assigned to the thematic layers on the basis of expert knowledge were standardized by the AHP’s eigen vector technique. To calculate the groundwater potential index, the weighted linear combination (WLC) method was implemented in a GIS environment. The study found that only 3.88% of the study area had very good groundwater potential and 17.22% had a good potential, in addition to 20.20% with moderate potential, whereas in the most part of the region, 29.89% is within poor groundwater potential, and 18.60% are within very poor groundwater potential and 10.49% with non-potential. The very good GWP areas are located where the land cover majority is forests. The good, moderate, and poor GWP zones are located in areas where the land cover majority is shrublands. The poor and non-potential GWP zones are located in areas where the land cover majority is cropland.

The Use of AHP to Prioritize Five Waste Processing Plants Locations in Krakow

The purpose of the paper is to use the analytic hierarchy process (AHP) to determine the prioritization of areas designated for infrastructure investments. The research was carried out using an example of a municipal solid waste incineration plant in Kraków. Based on research tests conducted on actual field data, this paper proves that spatial information systems can be a useful source of information in decision-making processes related to the assessment of the location of an investment project with a function so important for the natural environment and maintaining the principle of sustainable development. Owing to the development of technologies such as remote sensing and GIS, the obtained data are of high quality, and the possibility for processing and making them available in real time makes them up to date. The research methodology for selecting areas for a well-defined purpose includes five separate stages: Defining the parameters, acquiring data from spatial information systems, data standardization, criteria weighting by the analytic hierarchy process (AHP), calculation of the coefficient of area suitability for the location of a particular facility, and its graphic representation on a map. The final result is the ranking of areas in terms of suitability for the implementation of an infrastructural project i.e., the construction of a municipal waste incineration plant.

Prioritising investments in safety measures in the chemical industry by using the Analytic Hierarchy Process

In this paper we review and discuss the use of Analytic Hierarchy Process as a basis for prioritising investments in safety measures in the chemical industry. We point out that such a framework is not, in general, adequate. First, uncertainty is not properly taken into consideration because the focus is on expected values. Second, little weight is given to the strength of additional knowledge. In this paper we recommend some adjustments to a traditional Analytic Hierarchy Process in order to better guide safety investments. The chemical industry is the starting point, but the discussions are to a large extent general.

Prioritizing parameters of green manufacturing in Indian SME’s with Analytical hierarchy process and TOPSIS

This manuscript is focused on identifying the various parameters of green manufacturing and finding a suitable ranking in terms of their most effectiveness towards accruing business excellence. After literature survey eight parameters, that is, support from top management, practices adopted by organisations, government pressure, social pressure, customers, green supply chain management, support from government, new technology adoption; have been identified to examine priority weights by the use of analytical hierarchy process (AHP). These priority weights are used for technique for order preference by similarity to ideal solution (TOPSIS) rankings and further testing the sensitivity of the results. Customers, GSCM, new technology adoption have been ranked at first three places respectively, while government pressure, social pressure has been ranked fourth and fifth. Important factors discussed in this research can assist the different organisations to concentrate on imperative sections and assigning obligatory resources for assuring successful green manufacturing execution in various small and medium scale enterprises.

Evaluation of Unit Canteen Suppliers Based on Entropy Method and Analytic Hierarchy Process

With the selection of canteen suppliers as the research object, a canteen supplier evaluation indicator system with four primary indicators and 15 secondary indicators is established in this paper by analyzing the key factors influencing the selection of canteen supplier. At the same time, a case study of four food suppliers of a unit canteen in Hefei, Anhui Province is conducted by comprehensive use of analytic hierarchy process (AHP) and entropy weight method, and some relevant countermeasures and suggestions are proposed.

The use of Analytical Hierarchy Process (AHP) decision model for materials and assembly method selection during railcar development

The need for improved performance, operational efficiency as well as cost and environmental sustainability necessitate the selection of appropriate materials and assembly methods during railcar man...

The Use of Analytical Hierarchy Process (AHP) Method in Analysis of Factors Affecting the Demand for Trans Malang Bus Passengers in Malang City

The Use of Analytical Hierarchy Process (AHP) Method in Analysis of Factors Affecting the Demand for Trans Malang Bus Passengers in Malang City

Cyclone risk assessment of the Cox’s Bazar district and Rohingya refugee camps in southeast Bangladesh

Bangladesh has a long history of devastating tropical cyclones. In view of the effects of the storms on the country, risk assessment is essential for devising the mitigation strategies at various levels. By way of bringing the conceptual structure of general risk model in practice, this work aims to examine the spatial patterns of cyclone risk in the Cox’s Bazar district (I) and Rohingya refugee camps (II) located on the southeastern coast of Bangladesh. We use 14 parameters representing the hazard, exposure, and vulnerability as the components of risk. The selected parameters were analyzed and integrated though the complementary use of Analytic Hierarchy Process (AHP) and Geographic Information System (GIS) for depicting the cyclone risk situation comprehensively at both the spatial scales. The status of the cyclone risk was identified and quantified as very high (6.84%, 3.43%), high (45.78%, 27.82%), moderate (5.97%, 39.42%), low (40.62%, 28.70%), and very low (0.81%, 0.61%) for the spatial scale I and II respectively. In general, northwestern and southern peripheral areas exhibited higher risk than the central and northeastern parts of the Cox’s Bazar district; and in the refugee settlements, camp number 1E, 1W, 7, and 13 revealed relatively higher levels of the risk. The results of the assessment (I) were correlated with experiential damage from the 1991 cyclone; a reasonable consistency was noticed between the simulated scenario and the observed impacts. We assume that the deliverables of this spatial analysis could be useful to stakeholders while formulating the cyclone risk mitigation policies for the region. Furthermore, this work demonstrates that the applied method would deliver reliable results if tested in other coastal environments.

Evaluation of Land Cover Change and Agricultural Protection Sites: A GIS and Remote Sensing Approach for Ho Chi Minh City, Vietnam

Ho Chi Minh City (HCMC), economic center and most populous city of Vietnam faces a strong structural change since its market liberalization in the late 1980s. Big challenges occur in the form of uncontrolled urban sprawl due to rapid population growth with encroachment of agricultural land, which leads to environmental and climatic issues like urban heat island effects, air pollution and flooding events. Remote Sensing and Geographic Information Systems (GIS) provide new computer-based technologies for urban planners which can greatly ease the monitoring of agricultural loss as well as improve decision making for future land management. In the first part of this study, land cover change dynamics are thoroughly assessed using moderate and high spatial resolution satellite imagery (Landsat and SPOT) over the period 2010–2017 in 22 districts of HCMC. In the second part, the land cover classification results of 2017 provide the initial map for a GIS-based Multi-Criteria-Decision-Analysis (MCDA) of potential agricultural protection sites. Therefore, criteria of climate adaptation and ecological service are established and embedded in the GIS-compatible Compromise Programming Model (CP). With the use of Analytic Hierarchy Process (AHP) by Thomas L. Saaty and additional expert knowledge, appropriate weighting factors have been affiliated. The results show that agricultural land decreased by more than two thirds in the period considered. However, particularly the western rural districts Bình Chánh and Hóc Môn still offer a great amount of valuable agricultural land suitable for protection. The proposed method can serve as a scientific framework for planning departments of fast growing cities to zone agricultural land for protection on an early planning stage in order to ensure sustainable land use development in the future.

Employee social sustainability: prioritizing dimensions in the UAE’s airlines industry

PurposeThis paper aims to identify and prioritize the dimensions that impact employee social sustainability in the airline industry in the United Arab Emirates (UAE).Design/methodology/approachThe five main criteria (employee well-being, communication, management support, reward and control system and training) and 18 sub-criteria were identified from the literature. The sample comprised four experts covering the HR, finance and training functions from a major UAE airline organization. Applying the analytical-hierarchy-process (AHP) methodology resulted in obtaining priority weights for the factors assigned to employee-social-sustainability implementation.FindingsManagement support was found to have the highest priority among the study dimensions impacting employee social sustainability. Surprisingly, reward system was found to be the least important dimension.Research limitations/implicationsThe study was carried out on a single airline organization, limiting the generalizability of the findings. Future studies should be extended to cater to different organizational contexts and varying operational conditions.Practical implicationsThe findings should be of value to human resource management and policymakers in developing countries, such as the UAE, where employee social sustainability should be sought as a means to develop an efficient and sustainable workforce in different industrial sectors.Originality/valueThis study is among the few pioneering studies that focus on employee social sustainability. The use of AHP to prioritize employee-social-sustainability dimensions is also considered pioneering within the field and is anticipated to support future studies, and a deeper understanding, of employee social sustainability.

Synthesizing expert opinion to assess the at-sea risks to seabirds in the western North Atlantic

Marine environments are subject to a range of human disturbances. Identifying effective conservation strategies, in order to manage or mitigate the negative impacts of human activities, requires a way to first identify and evaluate the impact of activities on ecosystem components. Multicriteria decision analysis (MCDA) techniques such as the Analytic Hierarchy Process (AHP) offer a way to systematically evaluate and integrate stakeholder opinion in order to set priorities and make decisions. With a goal to synthesize current knowledge of the potential impacts of human activity on breeding and non-breeding seabirds in the western North Atlantic Ocean, we present a case study involving the use of AHP to assess sensitivity of species to such hazards as: fisheries bycatch, oiling, light pollution, vessel traffic, marine debris, and offshore wind turbines. Based on responses from ten North Atlantic seabird experts, fisheries bycatch (particularly when involving suspended gill nets) was identified as the greatest risk across a wide range of species, with an overall relative value of 0.47±SE 0.026. Oiling risk was the second most highly ranked (0.26±0.026, of which 0.214 corresponded with surface oil, 0.044 with oil and gas platform interactions), and was considered to have the greatest potential impact on alcids (Common and Thick-billed Murre, Atlantic Puffin, Razorbill, Dovekie). Offshore wind turbines (0.097±0.022), marine debris (0.08±0.016), light pollution (0.058±0.0077), and traffic (0.042±0.0053) were considered to be less serious risks for seabirds than fisheries bycatch and oiling. In addition to demonstrating how relative risk can be quantified using a multicriteria decision analysis technique such as AHP, we summarize the sensitivities of fourteen seabirds and suggest ways in which multicriteria decision analysis can enhance conservation planning.

The use of analytic hierarchy process for measuring the complexity of medical diagnosis.

Diagnostic complexity is an important contextual factor affecting a variety of medical outcomes. Existing measurements of diagnosis complexity either rely on crude proxies or use fine-grained measures that employ indicators from proprietary data that are not readily available. Hence, the study of this important construct in fields such as medical informatics has been hampered by the difficulty of measuring diagnostic complexity. This article presents a novel approach for conceptualizing and operationalizing diagnostic task complexity as a multi-dimensional construct, which employs the readily available International Classification of Diseases codes from medical encounters in hospitals and uses Analytic Hierarchical Process methodology. We demonstrate the reliability of the proposed approach and show that despite using a relatively simple procedure, it is able to predict readmission rates just as well as (or even better) than some of the sophisticated measures that have been used in recent studies (namely, the LaCE score index).

Application of AHP and corrective factors for the determination of best available techniques and emission limit values at installation level: A case study in four cement installations

After the adoption of the Industrial Emissions Directive in the European Union, requirements regarding emission limit values were made legally binding, and the competent authorities shall ensure that they do not exceed the emission levels associated with the best available techniques. This paper describes a two-stage method for the determination of best available techniques (BAT) and emission limit values (ELV) at installation level, applicable to all industrial sectors covered by the IED and to all pollutants to air and to water. This new method may support competent authorities to implement BAT conclusions into the IED permits. The determination of BAT is based on the use of analytical hierarchy process, while the ELV is determined by using corrective factors based on consumption and emission indicators from the installation. The method is applied in a case study on four existing cement installations in the region of Andalucia (Spain).

SELECTION OF THICK COAL SEAM MINING METHOD USING ANALYTIC HIERARCHY PROCESS

In thick coal seams, it is very important to select the correct mining method. Choosing a wrong method may be very costly to the company. All the factors affecting the mining method and the relations in between should be considered. When there are many factors under consideration, Analytic Hierarchy Process (AHP) is a very useful tool to analyze them. By use of AHP, errors that show up in conventional methods are minimized. In this study AHP is employed to select the mining method in a thick coal seam. The proposed approach starts with identifying the alternative mining methods that are applicable in thick coal seams. Then all the criteria affecting the mining method and the relations between them are defined by experts of the system. Finally AHP is used to find the method with the highest performance according to the selection criteria defined. Within this study the highest performance scores belong to Multi-slice retreatment longwall with filling (M4), Multi-slice retreatment longwall with caving (M3), Multi-slice advanced longwall with filling (M2) and Room and pillar (M9).

Decisor: A Software Tool to Drive Complex Decisions with Analytic Hierarchy Process

Addressing consistent and reliable decision-making are crucial activities when choosing seemingly related alternatives for a set of criteria. Models and methods for aiding decisions such as analytic hierarchy process (AHP) were developed to handle quantified assessments of quality attributes, usually intangible and numerically hard to cope. We introduce the Decisor software tool to assist the use of AHP to drive complex decision modeling. We present a study of related tools describing advantages and drawbacks. The tool is user friendly, with intuitive data entry fields. Users may input alternatives and criteria, assigning weights from different judgment scales. Decisor’s main characteristic is its simple interface where the tool computes priority vectors for all alternatives and its consistency rates. It is also possible to operate with negative weighting, inferring Benefits, Opportunities, Costs, and Risks. The tool implements Group Decisions, using the geometric mean to combine criteria comparisons from selected stakeholders.

Landfill site selection using a hybrid system of AHP-Fuzzy in GIS environment: A case study in Shiraz city, Iran

Landfilling with simplicity and economic advantages is the most common element for waste management in both developed and developing countries. Landfill site selection in a proper way is an important municipal planning process which prevent environmental issues including water pollution imposed for insanitary landfills. The present research was developed to exhibit a simplified method of multi criteria decision making (MCDM) and Fuzzy memberships in GIS environment to ascertain best landfill sites for Shiraz county, located south of Iran. 15 most common sub-criteria, documented in literature and implicated by Iranian environmental protection organization (IEPO) including surface water, ground water, land use, distance to well, soil type, slope, protected area, fault in environmental group, residential area, road, airport, village, infrastructure, historical area, wind direction in socio-economical group were selected and the weight of each criterion was determined based on expert’s knowledge with use of analytical hierarchy process (AHP). The results of the present research are as follows:•Distance to residential area and groundwaters with weight of 0.36 and 0.28 were recognized as the most important criteria for landfill site selection.•The six suitable areas for landfill in Shiraz county is 1.003% of total area equal to 8710 ha.•AHP and Fuzzy memberships has a great potential and ability for landfill site selection.

The schedule of World Cup and its impact on the team

This paper discusses the organization of the World Cup competition, in which through the establishment of a number of scheduling model, the use of analytic hierarchy process and stochastic simulation and other methods to solve this problem and obtain a more reasonable arrangement of the competition. For the arrangement of the Order of the game, first of all, the existing competition is studied. On the premise of the increase in the number of teams and the previous arrangement of the group points, it is considered from the appropriateness of the field, whether the schedule is wonderful, whether the arrangement is simple and whether the ranking is reasonable. 3 new competition competitions are proposed for the improvement of the original competition. Then, the analytic hierarchy process is used to compare and analyze the 3 new competition methods, and the optimal competition method is selected. Finally, under the previously established game, FIFA’s integral algorithm formula is used to analyze and calculate the impact of the results produced under the competition on FIFA rankings. In the application of formula calculation, the stochastic factor is introduced, and the results are simulated by computer, which can get the approximate upward trend of the team in different ranking intervals.

Developing a social sustainability assessment framework

Green building appraisal tool evaluates, enhance and promote the level of sustainable development in the built environment. However, with a focus on the social criteria, the context of the building assessment tool has remained unexamined. Moreover, since a large number of green building evaluation tool, has been established throughout the years, there is by all accounts a significant lacuna in the classification and estimation of the investigation of social criteria in building assessment tools. Therefore, the study aims at developing a social criteria framework, supported by categories and indicators to evaluate sustainable development in buildings. The set of categories and indicators were proposed based on the adoption of LEED working sheet. Against the background, the study is organized by adopting Delphi techniques and interviews for building users. In doing so, a two-round questionnaire was responded to by qualified experts to help in the selection of key categories and indicators that support the evaluation of social criteria for GBAT. Also, the use of Analytic Hierarchy Process was employed to find the most relevant measurement and weight for the resulting indicators and categories. The findings will contribute to building practitioners in order to evaluate building projects socially, with a focus to attain sustainable development in the built environment.

Combining the use of analytical hierarchy process and lexicographic goal programming in selecting project executor

The aim of this study was to determine selected project executor based on multicriteria decision making. Analytic Hierarchy Process (AHP) is applied for selecting chosen project. The global priorities were obtained based on relation criterias respect to alternatives in order to select the best one. Next, a new approach for solving optimization of chosen executor project is developed that is lexicographic goal programming by zero one method. By an illustrative example, that is found the method is efficient in reaching solution. Final result showed the Ltd. A is the best chosen project. For each criteria this model enabled the decision maker to choose the optimal solution.

The Use of Analytical Hierarchy Process in Identifying Weight age Criteria for Academic Staff Selection

The academic staff selection for any organization is an important process that involves in decision making process. The process must be carried out carefully because it involves some important aspects towards the staff selection. During the interview session, the selection process based on five criteria of the applicant. The five selection criteria consists of academic qualification, religious knowledge, community services, knowledge, and communication skills. Furthermore, the selection of applicants for the academic ability and suitability with the field in order to make the selection process is becoming more complex. The selection of the applicants for academic staff also relies on judgments of the committee that was appointed for interviewing the applicants with a lot of experience in the selection of academic staff applicant. The study finds that the objectives are to identify all criteria relevant to the selection of staffs. The technique used in giving weights to each criterion is Analytical Hierarchy Process (AHP) technique. As a result, the highest weight was assigned to the first criteria which are academic qualification with the weight 0.3423. It shows that the academic qualification was the most important criterion compared to the other criteria. In addition, the selection of applicant for academic staff is able to assist in the selection of potential qualified academic staff.