Application Of Multi-criteria Decision-making Technique Research Articles

Application of multi-criteria decision-making techniques to develop modify-leachate pollution index.

The modify-leachate pollution index (m-LPI) was developed with the help of multi-criteria decision-making (MCDM) technique based on the landfill leachate pollution potential by considering the limitations of traditional methodologies. Across India, twenty major landfill sites (LS) were selected for which m-LPI was assessed. Twenty-five experts' opinions were taken for the determination of nine input criteria weights, such as pH, COD, TDS, Cl, Zn, Pb, Cu, annual rainfall, and landfill age with the help of a questionnaire-based survey. In this context, six MCDM techniques were investigated to develop m-LPI. Among different MCDM techniques selected, weighted aggregated sum product assessment (WASPAS) proved to be an effective one with an R2 value of 0.828 and IA value of 0.813. WASPAS gave first and last rank to Kadapa, Andhra Pradesh LS (1.677) and Turbhe, Maharashtra LS (2.193), respectively. The investigation revealed that around 90% of LS considered in the present study require leachate treatment. WASPAS sensitivity analysis showed that the least sensitive criteria were pH, followed by Cl and Zn. The m-LPI can be used by researchers and scientists to investigate and evaluate various challenges involved with solid waste management in LS.

Prioritising factors of retention for information technology professionals: an application of multi-criteria decision-making technique

Prioritising factors of retention for information technology professionals: an application of multi-criteria decision-making technique

A Decision Model for Supplier Selection Criteria in Healthcare Enterprises with Dematel ANP Method

The supplier selection decision, within the scope of supply chain management (SCM), is one of the key decisions that plays an important role in the success of the business. The supplier selection problem, which aims to determine the most suitable suppliers in line with the demands of the enterprises, can be defined as a Multi-Criteria Decision Making (MCDM) problem that includes both quantitative and non-quantitative criteria. While there is a large body of literature on supplier selection studies using MCDM methods, the number of studies in the health sector is relatively low compared to other sectors. Although much research can be found regarding the application of MCDM techniques in clinical operations, less research has been conducted on the problem of supplier selection in healthcare services, which has a high complexity level. The main purpose of the study is to develop a holistic MCDM model as a decision support system for supplier selection in the health sector. The decision-making trial and evaluation laboratory (DEMATEL) and Analytical Network Process (ANP) methods were used together to analyze the model. The main criteria used in the study are price, quality, logistics, sustainability, and occupational health and safety (OHS). As sustainability and OHS rarely exist in supplier selection studies in the health sector, this holistic model can contribute to the literature in that aspect. According to the findings and the main criteria ranking, the most important criteria, emerged as price, quality, sustainability, OHS, technique, and logistics. The results indicate the importance of sustainability in supplier selection in the health sector. The method proposed in this study may help health managers as a support system for making purchasing decisions.

Application of MCDM and Taguchi super ranking concept for materials selection problem

Material selection is a topic of pivotal importance in the optimal design and development of industrial products. Increasing demand for high-performance materials with desirable and tailor-made properties is expected to drive the future market. This paper examines the application of multicriteria decision-making techniques like AHP, TOPSIS, EDAS, VIKOR, and Taguchi-based super ranking concepts for the selection of optimal aluminum alloy material for the sheet metal forming process. The criteria used to evaluate the optimal material selection were identified as yield strength, tensile strength, thermal conductivity, impact, density, specific heat, coefficient of thermal expansion, and % elongation. The most ranked aluminum material frequency is selected for sheet metal forming simulation using DEFORM, a process simulation FEM-based tool. An integrated Taguchi DOE and process simulation were carried out for the best-ranked AA2024 aluminum material. The results showed that the MCDM and Taguchi-based super ranking concept provides an intelligent and methodical assessment for solving material selection from a finite set of alternatives for the sheet metal forming process. The group decision behavior, agility, and flexibility in including multiple decision-making criteria for overall comparative analysis of materials, and manufacturing processes with uncertainty make MCDM methods a definitive tool for materials and manufacturing process selection.

Multicriteria based optimization of second generation recycled aggregate concrete

Through experiments with two generations of recycled aggregate concrete and the application of Multi-Criteria Decision-Making techniques, this research aims to establish a sustainable framework of second generation recycled aggregate concrete selection. The technical and environmental performances of seven concrete mixtures were evaluated experimentally and analytically. In addition to the control mixture, six mixtures were produced with two proportions of recycled concrete aggregate or multi-recycled concrete aggregate (30 % and 70 %). Four Multi-Criteria Decision-Making techniques, namely TOPSIS, EDAS, WSM, and WPM, were applied for optimizing the best concrete mixture in terms of technical and environmental based. The results of the four techniques agreed that reusing recycled aggregate concrete is possible as high quality and environmentally friendly concrete. Yet the highest CO2 emissions have belonged to the control mixture where no recycled or multi-recycled aggregate concrete was used.

Prioritizing factors of retention for information technology professionals: an application of multi-criteria decision-making technique

Prioritizing factors of retention for information technology professionals: an application of multi-criteria decision-making technique

Livelihood alternatives model for sustainable rangeland management: a review of multi-criteria decision-making techniques

Although a set of appropriate livelihood alternatives has already been developed to approach sustainable rangeland management (SRM), determining an appropriate livelihood model for supporting policy makers still remains to be a challenge. Livelihood alternatives are affected by multiple factors such as livelihood capital, vulnerability contexts as well as policies, institutions and processes which can be identified by stakeholders from different perspectives. Accordingly, determining appropriate livelihood alternatives is a multifaceted challenge that requires multi-criteria decision-making (MCDM) techniques. This paper aims to review MCDM methods that have the potential to be applied in SRM. It discusses how different MCDM techniques can be used and which techniques are well matched to determine appropriate livelihood alternatives. First, it justifies the need for decision support systems followed by an explanation of the most common MCDM techniques. Among them, two techniques, namely analytic hierarchy process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), are found to be the most suitable MCDM in the case of SRM. Furthermore, based on the reviews on different hybrid approaches, AHP–TOPSIS is introduced as a superior approach to select appropriate livelihood alternatives. Accordingly, AHP is introduced to elicit the relative importance of livelihood criteria and TOPSIS is employed to provide a score for livelihood alternatives. As a conclusion, the application of AHP–TOPSIS approach is proposed where many decision criteria, alternatives and stakeholders are involved. Subsequently, a methodological framework to determine a livelihood model is also developed. This study concludes that, as well as recognizing the theory of appropriate livelihood alternatives, the application of MCDM techniques can be further pursued toward devising a workable policy framework for SRM. At the end, we have elaborated future methodological issues to be considered when selecting feasible alternatives to resolve the current challenges in SRM.

Application of multicriteria decision-making techniques to manoeuvre planning in nonholonomic robots

In the scientific literature, one can find different techniques for tackling the problem involved in generating manoeuvres in robots with nonholonomic restrictions. Among these, probabilistic generation methods have been widely used. This paper presents a new technique that enables the best paths to be selected from among a set provided by a probabilistic planning method (RRT). This selection involved the application of multicriteria decision-making techniques (MCDMT). The particularity of these MCDMT lies in the fact that they provide the same result as would arise if the decision had been taken by a human being. The application of these techniques (generation and ranking) has enabled the development of an automatic tool for finding the best manoeuvres for nonholonomic robots. Lastly, we present the application of these techniques to a real situation, obtaining excellent results.