Prioritizing failures by using hybrid multi criteria decision making methodology with a real case application

In complex decision making, using multicriteria decision-making (MCDM) methodologies is the most scientific way to ensure an informed and justified decision between several alternatives. MCDMs have been used in different ways and with several applications that proved their efficiency in achieving this goal. In this research, the advantages and disadvantages of the different MCDM methodologies are studied, along with the different techniques implemented to increase their accuracy and precision. The main aim of the study is to develop a hybrid MCDM process that combines the strengths of several MCDM methods and apply it to choose the best fit maintenance policy/strategy for industrial application. Moreover, fuzzy linguistic terms are utilized in all of the used MCDM techniques in order to eliminate the uncertainty and ambiguity of the results. Through an extensive literature review performed on studies that have used MCDM methods in a hybrid context and using fuzzy linguistic terms, a model is developed to use fuzzy DEMATEL-AHP-TOPSIS hybrid technique. The model with its application is the first of its kind, which combines the strengths of fuzzy DEMATEL in establishing interrelationships between several criteria, as well as performing a pairwise comparison between the criteria for prioritization using the fuzzy AHP method. Thereafter, the alternatives are compared using fuzzy TOPSIS method by establishing negative and positive solutions and calculating the relative closeness for each of the alternatives. Furthermore, six main criteria, twenty criteria, and five alternatives are selected from the literature for the model application.

Energy storage alternatives that help storing excess energy and then using it when the system needs it has become more important in recent years. Determination of the most suitable energy storage alternative can be analyzed by using multi criteria decision making (MCDM) techniques. There are many criteria that affect the best energy storage alternative and the aims are contrasting so, MCDM methodology is a good approach to solve these problems. In this paper, a hybrid MCDM methodology that consists of analytic hierarchy process (AHP) and TOPSIS based on type-2 fuzzy sets is proposed. To obtain more flexible evaluation and more precise results the proposed methodology combines type-2 fuzzy AHP that used to determine the weights of criteria and type-2 fuzzy TOPSIS methodology that analyzes the alternatives with respect to criteria and weights. The proposed methodology has been used to determine the most suitable energy storage alternatives. For this aim, 6 electrical energy storage alternatives are ...

The quality of the public transport sector affects the economy and the daily livelihoods of passengers. One of the most important objectives of policymakers is to choose the influencing criteria for performance evaluations. A variety of factors are crucial for raising the standards of public transportation services. In this investigation, we used a decision-based model with uncertainty in order to identify significant criteria in the public transport sector. We also performed a comparative analysis to rank the Rajasthan State Road Transport Corporation (RSRTC) bus depots based on their performance using hybrid multi-criteria decision-making (MCDM) techniques such as TOPSIS, VIKOR, and ELECTRE. To handle judgement ambiguities, in this work we incorporated the Delphi method (DM) and the analytic hierarchy process (AHP), along with fuzzy set theory. The fuzzy Delphi method was used to filter the important criteria. Using a fuzzy AHP approach, the screening criterion weights and rankings were determined. Furthermore, the bus depots were ranked using TOPSIS, VIKOR, and ELECTRE. Our findings can be applied in assisting policy-managers in formulating appropriate policies targeted at improving the overall health and competitiveness of bus depots using significant criteria and associated key indicators. In this study we investigated performance measures and proposed recommendations for the sustainable development of transportation in India.

Energy is a critical factor to obtain a sustainable development for countries and governments. Selection of the most appropriate energy alternative is a completely critical and a complex decision making problem. In this paper, an integrated multi-criteria decision-making (MCDM) methodology based on type-2 fuzzy sets is proposed for selection among energy alternatives. Then a roadmap has been created for Turkey.To overcome uncertainties in decision making process, the fuzzy set theory (FST) is suggested.For this aim, two of the most known MCDM methodologies are reconsidered by using type-2 fuzzy sets.Fuzzy Analytic Hierarchy Process (FAHP) based on interval type-2 fuzzy sets is constructed and is used to obtain the weights of the criteria affecting energy alternatives. To rank the energy alternatives, the other MCDM method that is Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is fuzzified by interval type-2 fuzzy sets. The proposed integrated MCDM methodology based on interval type-2 fuzzy sets is applied to obtain a road map of energy policies for Turkey.

Prioritization of renewable energy alternatives by using an integrated fuzzy MCDM model: A real case application for Turkey

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.

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.

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.

In recent years, with the increase in the usage of internet-enabled electronic devices and information systems, the upsurge and availability of volumes of high dimensional data have become one of the sources of high business value. The need for businesses to make informed decisions by leveraging on the patterns from the multi-dimensional data have become paramount. However, the major issue is whether or not the patterns can optimize business decision making process to increase profit. Hence, there is need for actionable knowledge discovery (AKD). Therefore, this paper proposed an hybridized interval type-2 fuzzy Multi Criteria Decision Making (MCDM) model for evaluating patterns based on three subjective interestingness measure which are unexpectedness, actionability and novelty. The interval type-2 Fuzzy Analytical Hierarchy Process (AHP) was employed to weigh the patterns and Compensatory AND approach was utilized for ranking the patterns using the three subjective interestingness measures. The proposed model depicts its applicability in identifying and ranking the patterns which are more relevant for enhancing business decision making.

Environment-friendly policies have developed the awareness to protect the environment from hazardous effects. ISO 9000 certification, legal laws and public demands enhance the green corporate social responsibilities. Organizational traditional processes changed into green concepts. A dramatic shift from supplier selection to green supplier selection has been adopted in organizations to reduce the product impact on environment. Supplier selection is the most important organizational strategic decision to design, produce and distribute green. This paper is focused to develop the criteria for green supplier selection. This decision is based on both quantitative and qualitative methods. So, Multi Criteria Decision Making (MCDM) has been used to take the rational decisions. In this study, a hybrid multi criteria decision making approach based on Decision Making Trial and Evaluation Laboratory Model (DEMATEL), the Analytical Network Process (ANP), and Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) in fuzzy environment have been used to take the ideal decisions. This study will focus on the development of hybrid MCDM model for green supplier selection.

Investigation of the pharmaceutical warehouse locations under COVID-19—A case study for Duzce, Turkey

The austere environmental and resource developing situation in China poses adverse conditions to power generation enterprises, especially thermal power enterprises. Moreover, the new round electric market reform is being pushed forward vigorously, which greatly affects the future developing path for power generation enterprises. A comprehensive competition performance and ability evaluation is significant for power generation enterprises' laudable and sustainable development in the current situation. In this paper, a novel hybrid multi-criteria decision making (MCDM) framework is established for the evaluation. To effectively deal with the hesitation and uncertainty frequently occurring in the evaluation process, we combine the fuzzy set theory and the hesitant fuzzy linguistic term set (HFLTS) with traditional MCDM methods, Analytic Hierarchy Process (AHP), and Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR). The HFLTS-AHP method is used to determine the weight allocation of criteria, and fuzzy-VIKOR further gives performance rankings of the alternatives. The evaluation index system is established based on sustainable perspective and enterprise management, which contains ten sub-criteria from four aspects, “economy,” “environment and society,” “resource and technology,” and “sustainable development.” In empirical analysis, four large power generation enterprises are selected to perform the competition ability evaluation with the proposed framework. The results provide a reliable competition performance rank for the four alternatives and indicate that during the evaluation process, the sub-criteria “return on capital,” “electricity trading rate,” and “renewable energy installed capacity proportion” are more important. Finally, to verify the validity and robustness of the model, a set of sensitivity analyses are conducted. The proposed hybrid MCDM framework shows the advantages and practical value for competition ability evaluation of power generation enterprises.

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

Mountainous watershed faces significant challenges, such as water scarcity during the summer and land degradation in the monsoon season. In these watersheds, water harvesting and conservation are essential for promoting ecological harmony and achieving sustainable development goals. Moreover, the absence of a canal system and the depletion of tube wells exacerbate the situation in hot summers. To address these issues, sub-surface dams offer an effective solution by conserving underground water with minimal evaporation loss, low maintenance costs, easy construction, reduced contamination risks, and no threat to human life. This paper compared multi-criteria decision-making approaches (analytical hierarchy process and fuzzy logic) for proposing sites for constructing the sub-surface dam through surface parameters in the Morni watershed, India. For the selection of parameters, maturity assessment has been performed. The parameters including slope, fault, geology, and land use/land cover were considered as constraints used for site identification, and then comparison was made based on conditional parameters such as climate (annual rainfall), geology (distance from fault, geomorphology), hydrogeology (slope, stream order), and socio-economic (distance from road, distance from agricultural land, distance from village) parameters. Three decision-making techniques were employed: Boolean Algorithm, Analytical hierarchy process, and Fuzzy logic. In the initial step, 1430 sites were identified as suitable for construction using Boolean approach. The overlayed analytical hierarchy process and Boolean Algorithm approach found 68 sites, whereas the overlayed Fuzzy and Boolean algorithm approach found 28 sites appropriate for the construction of sub-surface dam in the research area. The best sites proposed based on their presence on stream order greater than or equal to 3, which becomes 15 sites by the analytical hierarchy process and 12 sites in the Fuzzy approach. The field and online Google map survey were used to validate the proposed sites based on distance from the existing sub-surface dams. From comparing the distance, the Fuzzy approach was found to be more appropriate than the analytical hierarchy process approach for the selection of sub-surface dam construction sites in mountainous watersheds.

Compression ignition engine performance modelling using hybrid MCDM techniques for the selection of optimum fish oil biodiesel blend at different injection timings