Menu evaluation based on rough MAIRCA and BW methods

Arsić, Slaviša N.; Pamučar, Dragan; Suknović, Milija; Janošević, Miljojko

doi:10.5937/sjm14-18736

Cited by 9 publications

(4 citation statements)

References 23 publications

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“…prioritizing of industrial wastewater management processes (Adar et al, 2022), waste clothing recycling channel selection (Wang et al, 2022) and assessment of sustainable development goals (Stanujkic et al, 2020). MAIRCA method has been performed in some studies like prioritizing the railway infrastructure projects (Pamucar et al, 2022), flood susceptibility evaluation (Hadian et al, 2022), material selection (Chatterjee and Chakraborty, 2022), supplier selection (Badi and Ballem, 2018), evaluation of macroeconomic performance (Belke, 2020), location selection for waste disposal (Pirbasti et al, 2020), vaccine selection (Ecer, 2022), overtourism assessment (Garc ıa Mestanza and Bakhat, 2021), selection of sites for ammunition depots (Gigovi c et al, 2016), menu evaluation for restaurant management (Arsi c et al, 2019) and determination of constructive elements of weapons (Bo zani c et al, 2020).…”

Section: Applications Of Mcdm Methodsmentioning

confidence: 99%

Applications of MCDM methods for the assessment of sustainable development: a case study of fashion textile group

Özdağoğlu,

Acar,

Güner

et al. 2024

MEQ

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PurposeThe textile industry harms the environment at every stage of production, from the acquisition of raw materials to the disposal of finished products. It is very important for the textile industry to adapt to the basic policies on environmental sensitivity and sustainability to keep up with the transformation in production processes and the rapid changes occurring around the world in order to exist in global competition. Within the scope of sustainable development goals, it is of great importance to measure and evaluate indicators of all processes of the sector. This paper aims to present application of multi-criteria decision making (MCDM) methods for the assessment of sustainable development in textile industry.Design/methodology/approachThe data of a multinational clothing company’s four-year sustainability performance between 2018 and 2021 were evaluated under 22 sustainability parameters determined using two new MCDM techniques, namely the combined consensus solution method and multi-attribute ideal real comparative analysis. In determining the criteria, priority key indicators were determined by taking into account the sector’s relationship with the environment, raw material consumption and social adequacy.FindingsAccording to the application results of both methods, the year 2021 shows the best performance. It has been seen that the sustainability performance of the Inditex group has increased over the years and the results of the applied models support each other. It can be suggested that the proposed approach be applied to evaluate the progress in the textile sector with the relevant data on a particular company or on a macro scale.Originality/valueThis study makes an important contribution to the field in terms of the fact that the methods used are recent and have no application in the field of textiles. It allows the evaluation of different sustainability criteria together using a single method. It is very important to share data on sustainability indicators with customers, employees, suppliers, investors, partner organizations and society and evaluate performance. Analyzing sustainability performance on the basis of annual reports is important in terms of identifying good practices, sharing them with the community and setting an example. In addition, using scientific methods in the evaluation of the sustainability report data published by companies regularly provides significant feedback for policymakers and academics.

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Section: Applications Of Mcdm Methodsmentioning

confidence: 99%

Applications of MCDM methods for the assessment of sustainable development: a case study of fashion textile group

Özdağoğlu,

Acar,

Güner

et al. 2024

MEQ

View full text Add to dashboard Cite

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“…In 2018, Badi and Ballem combined MAIRCA with the Best-Worst Method (BWM) [55]; Chatterjee et al coupled MAIRCA with the Analytic Network Process [56]; in 2019, Ulutaş combined MAIRCA with Step-Wise Weight Assessment Ratio Analysis. To determine the ideal staffing level for an organization's IT department [57], Aycin (2020) created the inter-criteria correlation (CRITIC) and MAIRCA methods [58], Arsić et al (2019) conducted a multi-criteria evaluation with the adoption of BWM and MAIRCA methods [59]. In the research by Chatterjee et al (2020), the MAIRCA method was used to evaluate environmentally friendly lightweight materials in terms of their performance in the automotive manufacturing sector [60].…”

Section: The Mairca Methods For Gap Analysis Implementationmentioning

confidence: 99%

A Sensitivity Index to Perform the Territorial Sustainability in Uncertain Decision-Making Conditions

Sica

Tajani

Guarini

et al. 2023

Land

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The issue of sustainability is central to development strategies. Although this alignment is acknowledged and shared world-wide, territorial development in a sustainable light must also take the ongoing COVID-19 pandemic into consideration, specifically by evaluating the effects of COVID-19 on the global health, social order, and economic-environmental system. The research suggests a sensitivity index to gauge the degree of territorial sustainability taking the COVID-19 pandemic’s impacts into account. A study set of countries, as identified by the Organization for Economic Co-operation and Development (OECD), is used to test the developed index. The index evaluates a country’s performance in terms of economic, social, and environmental sustainability while also considering the relative risk of COVID-19. The proposed index measures territorial sustainability from a variety of angles by enabling comparisons between the circumstances before and after current shocks in the socioeconomic and environmental performance frames by pandemic emergency. The index was created using an integrated assessment method that was based on the Choquet Integral (CI) mathematical framework and Multi-Attributive Ideal-Real Comparative Analysis (MAIRCA). The study establishes a unique and up-scaling methodology for constructing the sensitivity index, significantly advancing the suggestions for sustainable accounting under uncertain circumstances at the territorial scale. Adopting indices that quantify territorial sustainability under uncertainty may help guide policy decisions from an investment programming viewpoint, particularly when it comes to allocating financial resources to the economic sectors most impacted by shock events such as the COVID-19 pandemic.

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“…The MAIRCA method was first published in papers [16,17]. Since then it has been used in a large number of papers in its initial version [18,19,20,21,22,23] or as a modified MAIRCA method -in fuzzy and rough environments [13,24,25,26,27,28,29,30]. Modified IR-MAIRCA method has seven steps [13,27].…”

Section: Ir-mairca Methodsmentioning

confidence: 99%

A Hybrid Lbwa - Ir-Mairca Multi-Criteria Decision-Making Model for Determination of Constructive Elements of Weapons

et al. 2020

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The paper demonstrates a model whose goal is to define the construction elements of weapons necessary to meet minimum requirements of users. The complexity of the problem, conditioned by different construction elements of weapons and specific situations of their use, is the reason for using methods of multi-criteria decision-making. In the paper we used the hybrid LBWA – IR-MAIRCA model. With this model, one can conduct an analysis of characteristics of the existing weapons, based on which we define the construction elements for modifying the existing and manufacturing new weapons. Regarding a large number of different types of weapons, the paper is limited to the analysis of close-quarters combat weapons. The LBWA method was used to calculate weight coefficients of the criteria. The MAIRCA method, which was modified by interval rough numbers, was used to select the best close-quarters combat weapon that has the best characteristics in accordance with the requests of the users. Based on the analysis, the users have the option to clearly and precisely define requests for improvement of the existing, and manufacturing new weapons.

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Menu evaluation based on rough MAIRCA and BW methods

Cited by 9 publications

References 23 publications

Applications of MCDM methods for the assessment of sustainable development: a case study of fashion textile group

Applications of MCDM methods for the assessment of sustainable development: a case study of fashion textile group

A Sensitivity Index to Perform the Territorial Sustainability in Uncertain Decision-Making Conditions

A Hybrid Lbwa - Ir-Mairca Multi-Criteria Decision-Making Model for Determination of Constructive Elements of Weapons

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