Application of grey analytic hierarchy process to estimate mode choice alternatives: A case study from Budapest

The aim of this paper is to determining the best solution to overcome Supply Chain Knowledge Flow Barriers (SCKFBs) in an Indian case organization by using an Analytic Hierarchy Process (AHP) and the Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) method in fuzzy environment. The weights of the SCKFBs identified using fuzzy AHP method and ranking of the solutions determined by fuzzy TOPSIS method. The uniqueness of the study comes through the application of the AHP and TOPSIS method under fuzzy environment to find the solutions for SCKFBs in order to make knowledge flow implementation becomes simpler in the organization.

Supply chain management is a discipline dealing with organization, coordination, and optimization of relations within supply chains. Complexity and dynamics of supply chains are not always proportional to their reliability, and supply chain risk management becomes a very important tool in minimizing risk and uncertainties caused by, or impacting on, logistics-related activities or resources in the supply chain. Because risk modeling presents a very important segment of risk management, the paper includes a description of the main characteristics of supply chains and a model for risk assessment based on the Analytic Hierarchy Process (AHP) and Fuzzy Analytic Hierarchy Process (FAHP) methods. The main intention of the research presented here is to propose approaches based on application of the AHP and FAHP methods which are used as a tool for ranking supply chain risk categories, determining its share in total risk, and as a method for the supply chain risk assessment. The proposed approach is based on the experience and the knowledge of experts from insurance companies which are professionally engaged in the process of risk assessment, and possibility of its application is tested on a numerical example.

Landfill location selection is a multi-criteria decision problem and has a strategic importance for many regions. The conventional methods for landfill location selection are insufficient in dealing with the vague or imprecise nature of linguistic assessment. To resolve this problem, fuzzy multi-criteria decision-making methods are proposed. The aim of this paper is to use fuzzy TODIM (the acronym for Interactive and Multi-criteria Decision Making in Portuguese) and the fuzzy analytic hierarchy process (AHP) methods for the selection of landfill location. The proposed methods have been applied to a landfill location selection problem in the region of Casablanca, Morocco. After determining the criteria affecting the landfill location decisions, fuzzy TODIM and fuzzy AHP methods are applied to the problem and results are presented. The comparisons of these two methods are also discussed.

This study seeks to prioritize risks by implementing a hazardous materials transportation risk assessment approach. A three-stage risk assessment method is proposed for the transportation processes of fuel oil, one of the hazardous materials. Fuzzy Fine Kinney and fuzzy analytical hierarchy process (AHP) methods were used in the study. The risk scores were first fuzzified to eliminate the disadvantages of the Fine Kinney method. The fuzzy Fine Kinney risk scores were insufficient for prioritization, and the steps of the fuzzy AHP method were applied by creating a hierarchical structure for hazards with equal scores. Finally, the importance levels of all hazards were determined. According to the risk assessment results, the hazard of “failure to comply with weather conditions and legal speed limits while driving” has the highest level of importance. Risk control measures for high severity of this hazard were prioritized by fuzzy AHP method. As a result of the application, the measure of “instantly checking that vehicles are moving by speed rules with the vehicle tracking system” was prioritized. According to the evaluation, it was concluded that the hazards of high importance are primarily driver-related, i.e., human-related. As a result, this study contributes to the prioritization of fuel transportation hazards.

Forest road design and construction are time-consuming and complicated because various risk factors can be encountered during the process. The aim of this study is to comprehensively assess the risk factors in forest road design and construction using the fuzzy analytic hierarchy process (AHP) method in Turkey, thus contributing to the proper performance of these activities. Within the scope of the study, six main risk factors and 22 sub-risk factors were identified based on literature review. In order to determine the weights of the relevant risk factors, the opinions of three different groups [(group 1: academicians), (group 2: forest engineers (private sector employees + public sector employees)), (group 3: group 1 + group 2)] about the risk factors were obtained. Relevant risk factor weights were determined using the fuzzy AHP method. According to group 3, the most important main risk factors are technical risks and environmental risks. In addition, the most important sub-risk factors for each relevant main risk factor were incorrect road alignment, inadequate work safety in the field, insufficient capital, legal problems on the road alignment, landslide risk during road construction, and illegal logging. Differences were observed between groups 1 and 2 in the weight rankings of relevant risk factor. The results demonstrate that the fuzzy AHP method can be used effectively to assess the risks of forest road design and construction.

Due to the geological, topographic and climatic characteristics of Turkey, natural disasters are frequently experienced. 96% of Turkey is in an earthquake zone with different degrees of danger zones. This situation clearly reveals the importance of having TCIP (Turkish Natural Catastrophe Insurance Pool) earthquake insurance in Turkey. Earthquake insurance certificate is an assurance that financial losses are compensated immediately after an earthquake. In the study, 53 number of experts (DM) working in the insurance sector and experts in TCIP insurance, earthquake & buildings’ structural mechanics, who are managers, engineers, insurance experts and instructors in public and private sectors, were interviewed. Criteria and sub-criteria of the study are formed as a result of the interviews and the established criteria and related sub-criteria (21 main criteria/75 sub-criteria) are evaluated. In the study, fuzzy multi-objective mathematical model (FMOM: by using Fuzzy AHP (Analytical Hierarchy Process), Fuzzy TOPSIS and Fuzzy VIKOR methods) are used to evaluate/calculate the damages within the scope of TCIP insurance after the earthquake by insurance experts. "Post-earthquake damage assessment form" is formed by using multi-criteria decision making (MCDM) method which is Fuzzy AHP (Analytical Hierarchy Process), Fuzzy TOPSIS and Fuzzy VIKOR methods. In the study, the criteria were weighted by using Fuzzy AHP method and among the criteria, “Building’s Structural System Type” which has the highest importance weight value, therefore it was the most important criterion. The second criterion is “Status of Column Damages/Fractures”, the third criterion is “The Intensity of the Earthquake”. By using Fuzzy TOPSIS and Fuzzy VIKOR methods, 5 number of insurance experts who evaluate/make TCIP insurance are evaluated and the most suitable/experienced insurance expert is selected.

Determining road handling priority is considered as a complicated multicriteria decision making problem. In so doing, the Analytic Hierarchy Process (AHP) has been widely used to weight the importance. Fuzziness and vagueness however, are typical in many decision-making problems, so that fuzzy sets could be integrated with the pairwise comparison as an extension of the AHP. This study uses Fuzzy Analytic Hierarchy Process (FAHP) and TOPSIS method in determining regencial road handling priority for road links under severe circumstances in Badung regency in Bali province. Data are taken from a previous study, which had also been conducted for Badung regencial road handling priority using the AHP and SK.NO.77/KPTS/Db/1990 method. The weights of main and sub criteria are determined using FAHP and subsequently the ranking of road links is determined using TOPSIS method. The AHP method gave somewhat different result to 'SK.NO.77/KPTS/Db/1990' method. On the other hand, FAHP and TOPSIS method produce the same result to 'SK.NO.77/KPTS/Db/1990' method. This is probably best explained by the fact that they similarly considered traffic volumes as the most significant factor. FAHP and TOPSIS method however, are preferred to the AHP and SK.NO.77/KPTS/Db/1990 method in determining regencial road handling priority in Badung regency.Abstrak. Prioritas penanganan jalan merupakan salah satu tugas berat dan penting yang dihadapi oleh pengambil keputusan pada pemerintah daerah. Pada kenyataannya, penentuan penanganan jalan dapat dilihat sebagai permasalahan pengambilan keputusan yang melibatkan banyak kriteria yang bersifat kompleks. Metode proses hirarki analitik (AHP) telah banyak digunakan untuk menentukan bobot kriteria di dalam penentuan prioritas penanganan jalan. Akan tetapi karena keragu-raguan merupakan hal yang lazim terjadi di dalam pengambilan keputusan, maka teknik fuzzy dapat dikombinasikan ke dalam metode AHP. Pada studi ini penentuan prioritas penanganan jalan kabupaten untuk kondisi rusak berat di Kabupaten Badung, Bali dilakukan dengan metode Fuzzy AHP (FAHP) dan TOPSIS. Data penelitian digunakan dari studi sebelumnya di Kabupaten Badung yang menggunakan metode AHP dan SK.NO.77/KPTS/Db/1990. Metode FAHP digunakan untuk pembobotan kriteria sedangkan metode TOPSIS digunakan untuk penentuan urutan ruas jalan yang akan mendapat penanganan. Metode AHP memberikan hasil yang sedikit berbeda dengan metode SK.NO.77/KPTS/Db/1990. Sementara itu FAHP dan metode TOPSIS memberikan hasil yang sama dengan metode SK.NO.77/KPTS/Db/1990. Hal ini kemungkinan karena kedua metode tersebut menggunakan volume lalu lintas sebagai faktor yang paling berpengaruh pada penelitian ini. FAHP dan metode TOPSIS lebih disarankan untuk digunakan di dalam penentuan prioritas penanganan jalan di Kabupaten Badung.

The main purpose of this article is to use the fuzzy analytic hierarchy process (AHP) method to empirically study the key competency and capabilities affecting the selection of middle managers for global shipping logistics service providers (GSLSPs). To facilitate this theme for obtaining key competency and capabilities, a list of five management competency with twenty-five capabilities are preliminary summarized. Subsequently, the proposed fuzzy AHP method is applied to measure relative weights for evaluating these competency and capabilities. The appraisal approach is then to perform empirical survey via AHP expert questionnaires. Finally, the empirical results show that: (1) ‘professional competency’ is the most important management competency affecting the selection of middle managers for GSLSPs. (2) In order of relative importance, the top six key management capabilities affecting the selection of middle managers for GSLSPs are the ‘capability to manage work pressure,’ ‘capability to manage crisis,’ ‘capability to lead team awareness,’ ‘capability to manage interpersonal networks perfectly,’ ‘capability to use logistics expertise to enhance work efficiency,’ and ‘capability to effectively build team spirit and work atmosphere,’ respectively. Furthermore, concluding remarks are provided in this article.

Healthcare professionals, especially nurses and pre-hospital emergency (PHE) staff, are influenced by many stressors due to their responsibility to provide comfort as well as care and treatment of patients. The aim of the present study was to identify and rank the occupational stressors in nurses and PHE staff using Fuzzy Analytic Hierarchy Process (FAHP) method. In this cross-sectional study, occupational stress factors in nurses and PHE staffs were identified and ranked by 30 experts, using FAHP method. Occupational stress factors were collected by General Health Questionnaire (GHQ), Job Stress Questionnaires as well as a literature review. Among the occupational stress factors in nurses, the highest scores were related to “Incompatibility between work schedule and life conditions” (0.03986) and “Being criticized by supervisors” (0.03723), respectively. The most common stress factors in PHE staff were related to “Care of patients with critical health conditions” (0.07258), “High number of missions” (0.07056), respectively. The overall results of this study showed that managerial factors and factors related to patient care are the most important causes of occupational stress among nurses and PHE staff. These factors should be considered in the implementation of control strategies for reducing and managing occupational stress.

In Indonesia, education funding provided by the central government is made up of the components of personnel costs, investment costs, and operating costs. Since its implementation in 2005, the program has found several obstacles. It’s crucial to have an optimization tool to overcome the complications. The main problems that have arisen in the allocation of these funds so far have been lacking in planning and the lack of participation of the school ecosystem, in particular in determining the planning, planning documents and the priority scale of the projects. Program and activity plans based on the School Operating Assistance (BOS) platform. The Analytical Hierarchy Process (AHP) model is a prioritization approach based on determining the priority scale on the comparison of one option with another. The AHP model is a powerful but simple method that is usually used to make decisions. This approach has been implemented in various sectors, business, government, management, and education. In this study, the AHP model was used to determine the priority scale on the criteria of BOS allocated funds in the current year so that it could be absorbed optimally and can be utilized properly in its implementation for Vocational School activities. The results of the study show that the use of AHP makes it easier for school residents to prioritize the use of funds for school activities. Using the AHP model allows managers to record strategic goals using weighted criteria as the basis for prioritizing the use of funds. AHP can also work among different stakeholders in the school (principals, treasurers, teachers, and committee, parents/guardians) to participate in decisions about the use of BOS funds, to improve the quality and form of decision support taken to improve school performance.

An integrated fuzzy AHP and fuzzy MOORA approach to the problem of industrial engineering sector choosing

One of the most significant factors which affects the success of ERP implementation is to determine the proper software. To successfully implement an ERP project, it is a necessity to determine the proper software compatible with the structure of the enterprise. The implementation of an improper software causes a great amount of loss of funds and time as well as a disruption of activities. This study, through the usage of fuzzy AHP (Analytic Hierarchy Process) and fuzzy MOORA (multi-objective optimization on the basis of ratio analysis) methods, aims to suggest some solutions on determining the most proper software based on the expectations and needs of enterprises active in manufacturing sector. Within the study, Fuzzy AHP and fuzzy MOORA methods are used to determine the most proper ERP software for manufacturing sector. Within this context, as the first step the factors whose reliability has been tested in the literature have been determined and then a survey has been conducted on the decision-makers. With Decision support has been provided for the executives with the decision matrix formed in accordance with executives’ opinions, by using fuzzy AHP method to determine the criteria weight and fuzzy MOORA method to evaluate the alternatives.

Identification of artificial groundwater recharge zones in semi-arid region of southern India using geospatial and integrated decision-making approaches

This paper describes a GIS-based application of a fuzzy analytical hierarchy process (AHP) to map porphyry-Cu prospectivity in the Dananhu metallogenic belt, NW China. Based on a model of porphyry-Cu mineralization, evidential layers were derived from geological, geochemical, and geophysical data. These layers were subsequently assigned weights by implementing a fuzzy AHP method using knowledge from three experts in porphyry-Cu exploration. After obtaining normalized weights, different fuzzy operators were tried to combine the weighted evidential layers into potential maps, which were then compared and evaluated by predication-area (P-A) plots. Subsequently, a ternary map was generated by defuzzification of the optimum prospectivity map as selected by the P-A plot; this ternary map shows zones of high, moderate, and low favorability for porphyry-Cu deposits in the study area. To further evaluate the results, potential zones were analyzed for two-dimensional spatial domain. The results demonstrate that the fuzzy AHP method can be effectively applied to mineral prospectivity mapping in vaguely known areas.

This study presents a fuzzy analytic hierarchy process (FAHP) model based on consistent fuzzy linguistic preference relations to deal with consistency. The proposed method yields decision matrices for making pairwise comparisons using additive transitivity. Only n?1 comparison judgments are required to ensure consistency on a level that contains n criteria. Finally, a practice example is compared with the proposed method and FAHP method. The proposed method is simple and more accuracy than FAHP method.