A systematic review of the applications of multi-criteria decision-making methods in site selection problems

Multi-criteria decision-making methods are an active research area since the 1960s. A number of books, theoretical and applied papers have been published in this research area. About 3000 pa-pers regarding application of various multi-criteria decision-making (MCDM) methods have been published so far just in the field of environmental management. The authors analyzed the review papers about the application of MCDM methods in the field of environmental management, and found that there is no comprehensive overview of the application of these methods to problems related to biomass. This paper is aimed at making a first step towards such a review. Obtained data show that there is 21 paper in which MCDM methods were applied to biomass issues. Those papers were pub-lished in three journals closely related to biomass which are also on the JCR list.

This review paper investigates the application of various multi-criteria decision-making (MCDM) methods in the context of warehouse management, considering papers published from 2010 to date. Warehouses often face many challenges, including efficient inventory management, space optimization, proper resource allocation, and optimal supplier selection. This paper focuses on several well-known MCDM methods that are often used in the context of warehouse management. Full consistency method (FUCOM), analytic hierarchy process (AHP), the technique for order of preference by similarity to ideal solution (TOPSIS), weighted aggregated sum product assessment (WASPAS), criteria importance through intercriteria correlation (CRITIC), measurement of alternatives and ranking according to the compromise solution (MARCOS), best worst method (BMW), evaluation based on distance from average solution (EDAS), correlation coefficient and the standard deviation (CCSD), indifference threshold-based attribute ratio analysis (ITARA), and simple additive weighting (SAW) are some of the methods reviewed in the paper, as well as certain fuzzy versions of the methods. This review paper provides a brief comprehensive overview of the application of these methods in the context of warehouse management. Data collection leads to results that tell us that the methods are mainly used in solving problems during the selection of warehouse location, the selection of warehouse equipment, and also in the management of the warehouse itself and the performance of its management. It has also been seen that the methods are useful even in "green" logistics, as well as in inventory management.

Multi-criteria decision-making (MCDM) methods have improved considerably since the 1970s and are applied in many fields, demonstrating that the field of decision research remains important and valuable. Multi-criteria methods contribute to the research in civil engineering and construction management by identifying the optimal alternatives considering conflicting objectives. Researchers are applying MCDM methods in specific areas of civil engineering to resolve conflicts between economic, environmental and technological criteria. On the occasion of the 80th birthday of Prof. E. K. Zavadskas and 30 years of the Journal of Civil Engineering and Management (JCEM), this article aims to summarize the performance indicators of JCEM and its contribution to the development and application of MCDM methods in construction management. The journal’s performance indicators are outlined using bibliometric analysis.

A reliable decision-making system can help software engineers effectively to manage the software development process. A lot of decisions must be taken throughout the software development process, such as selecting design concepts and selecting alternative solutions. However, most of the decision-making problems encountered in software engineering are relevant to the multiple criteria which need to be considered simultaneously. Multi-criteria decision making (MCDM) has evolved as an efficient method in the software industry for integrating stakeholder values and technical information throughout software development. The contribution of this study is many folds. First, this study presents previous research contributions on applying MCDM methods in software engineering. Second, this work conducts a comparative study of numerous MCDM methods applied in software engineering and other prominent MCDM methods that might be used in software engineering. Third, this study proposes an MCDM based framework for solving various types of decision-making problems in software engineering. Fourth, this paper also presents some future research directions on applications of MCDM methods in software engineering.

Application of MCDM method in material selection for optimal design: A review

Keywords: decision analysis, Chebyshev distance, multi-criteria decision making (MADM), e-commerce analysis, strategic decision-making, optimization techniques At present, under the dominance of managerialism, the decision-making process is becoming increasingly complex, as managers must take into account numerous interrelated and often conflicting criteria. This is especially relevant in the e-business environment, where there is strong pressure to make fast, decisive, and well-analyzed decisions. Multi-criteria decision-making (MCDM) methods represent an appropriate set of tools for addressing such challenges. The aim of this study is to compare the usability of two of the most widely used MCDM methods in the field of e-business, namely TOPSIS and STEM. First, the theoretical foundations of both methods are examined, followed by a practical problem drawn from real-world e-business situations. The results obtained using both methods are compared in terms of efficiency, accuracy, and simplicity. The findings of the study show that both STEM and TOPSIS are applicable in the electronic environment; however, they differ in their decision-making logic and sensitivity to input data. The study contributes to the development of a culture of evidence-based decision-making in e-business by demonstrating how multidimensional data analysis can be used as a tool for strategic management.

Career Preference of University Students: An Application of MCDM Methods

In mining, there are many complex problems that need to be solved in a limited period of time. When solving these complex tasks, it is necessary to take into account many parameters, all in order to determine the optimal solution for a given problem. The application of multi-criteria decision-making methods (MCDM) is very widely used to solve such complex problems. One of the most complex problems in mining is the underground mining method selection. In order to choose the most appropriate method of mining excavation, it is necessary to take into account a large number of influential parameters according to which we will compare mining methods. This paper will discuss the problem of underground mining method selection using the EDAS method. Also, a comparison of the obtained results will be made for a specific example, when applying several methods for multi-criteria decision-making. After comparing the obtained results, the most suitable mining method for a specific example will be determined.

Multi-Criteria Decision Making (MCDM) models are valuable tools for addressing complex decision-making within multiple domains of supply chain management. Considering the complex and uncertain environments that Food Supply Chains (FSCs) operate in, MCDM applications are crucial for optimizing FSC performance across multiple dimensions. Consequently, several research studies focused on the application of MCDM methods within FSCs, with a few focusing on reviewing the literature. However, the literature studies till date revolved around a particular type of FSC or towards enhancing specific FSC capabilities. Besides, no review has used innovative frameworks – such as TCM-ADO, TCCM, 5W+H, etc. to synthesize the existing literature. Hence, this article uses Theories-Contexts-Methods-Antecedents-Decisions-Outcomes (TCM-ADO) framework to enhance the scope of the review. This framework for research synthesis stands unique in comparison with the regular systematic reviews, as it covers holistic synthesis of literature through handling both fronts of research aspects i.e., “what (content)” and “how (methodology)’. The results and findings highlight concentration of studies: a) within specific contexts (agri-food chains-31%, generic-food chains-30%, etc.), b) addressing specific capabilities (sustainability-28%), and c) additionally reveal a research gap in developing unique, hybrid MCDM models to address other contexts (cold chains, perishable food chains etc.) and other capabilities (food quality, food safety, food security, etc.).

Over the past decade, Multi-Criteria Decision Making (MCDM) has become a foundational tool in energy system design. Numerous technical methodologies and algorithms are available for evaluating and designing energy systems, optimizing either single or multiple criteria. MCDM aids decision-makers (DMs) in solving complex problems, such as site and supplier selection, ranking, and assessment. This paper provides a comprehensive review of both historical and contemporary MCDM techniques referenced in the literature. India is a rapidly developing and highly populated country with a high demand for energy to sustain its economic growth. To meet this demand, the Indian government want to achieve a target to increase the share of renewable energy upto 40% of the total installed capacity by year 2030. This target is a clear indication of the potential for hybrid renewable energy in India. We select solar and wind energy sources among various renewable energy sources based on various study that choose the optimal site selection criteria among them. we provide an overview of recent research on the application of MCDM for the selection of renewable hybrid power plants and identify that social factor is one of the main criteria that play a crucial role in site selection. Several MCDM methods have been applied to the selection of renewable hybrid power plants and compare them for optimal result. The use of sustainable MCDM techniques can help in the evaluation of the suitability of the sites based on multiple criteria. It increases the flexibility and sensitivity of the decisionmaking efforts in such type of approach. This approach allows to comprehensively and effectively assess and tackle the impending issues in the field of renewable energy. These techniques can use in site selection in other industry.

Renewable energies are noticeably developing due to their various advantages such as low greenhouse gases emission, availability and their reducing cost trend. In order to achieve the favorable objectives in energy projects, it is crucial to consider all the related parameters affecting the decision making. Multi Criteria Decision Making (MCDM) methods are reliable and efficient tool for policy making and achieving the most appropriate solution. These approaches consider the influential factors and their relative importance in prioritizing the alternatives. Since the outcome of the MCDM approaches depend on the employed algorithm and the used criteria, this article focuses on the studies related to the applications of these methods in renewable energy technology selection. The aim of the present paper is extracting the criteria which are necessary to be used in decision making for renewable energy systems. In addition, the approaches employed for improving the performance of MCDM methods as decision making aids are represented. According to this review study, technical, economic and environmental criteria are utilized in the majority of decision making researches. Moreover, some of the studies have considered other criteria such as social and risk to achieve more reliable decision. Some ideas are represented in the reviewed researches such as integrating different methods and using fuzzy sets, instead of crisp sets, to improve the performance of the MCDM methods and reduce the uncertainties.

The applications of MCDM methods in COVID-19 pandemic: A state of the art review

Each decision-making tool should be tested and validated in real case studies to be practical and fit to global problems. The application of multi-criteria decision-making methods (MCDM) is currently a trend to rank alternatives. In the literature, there are several multi-criteria decision-making methods according to their classification. During our experimentation on the Combined Compromise Solution (CoCoSo) method, we encountered its limits for real cases. The authors examined the applicability of the CoCoFISo method (improved version of combined compromise solution), by a real case study in a university campus and compared the obtained results to other MCDMs such as Preference Ranking Organisation Method for Enrichment Evaluations (PROMETHEE), Weighted Sum Method (WSM) and Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS). Our research finding indicates that CoCoSo is an applied method that has been developed to solve complex multi variable assessment problems, while CoCoFISo can improve the shortages observed in CoCoSo and deliver stable outcomes compared to other developed tools.The findings imply that application of CoCoFISo is suggested to decision makers, experts and researchers while they are facing practical challenges and sensitive questions regarding the utilization of a reliable decision-making method. Unlike many prior studies, the current version of CoCoSo is unique, original and is presented for the first time. Its performance was approved using several strategies and examinations.

Selecting a discrete multiple criteria decision making method for Boeing to rank four global market regions

Selection of discrete multiple criteria decision making methods in the presence of risk and uncertainty