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- MakaleYalnız künye2021Scopus SJRQ1Green supplier selection for textile industry: a case study using BWM-TODIM integration under interval type-2 fuzzy sets
Celik, Erkan; Yucesan, Melih; Gul, Muhammet
Although environmental awareness has reached a high level, enterprises—regardless of their working domains—follow the concept of greenness for their practices. This awareness among the stakeholders and supply chain experts has a positive impact on the purchasing departments of enterprises in various sectors to consider greenness in their procurement processes. The critical decision that must be made in green supply chain management (GSCM) is supplier selection. In the textile industry, a highly competitive market in recent years, suppliers for this industry have crucial roles in business activities considering environmental issues. Therefore, green supplier selection (GSS) in the textile industry is considered a must-be process for the stakeholders. In this study, a GSS problem is tackled as a multi-criteria decision process. Best worst method (BWM) and TODIM (an acronym in Portuguese of interactive and multi-criteria decision-making) methods are merged under an improved fuzzy concept of interval type-2 fuzzy sets (IT2FSs). In determining green suppliers’ evaluation criteria, BWM with interval type-2 fuzzy numbers (IT2F-BWM) is used. In selecting green suppliers, an interval type-2 fuzzy TODIM (IT2F-TODIM) is applied. Considering the characteristics of IT2FSs, BWM, and TODIM methods either individually and in integrated style, the proposed approach can handle uncertainty in the decision-making of GSS. To demonstrate the applicability of the approach, a case study in the Turkish textile industry is performed. Three green supplier alternatives (S1, S2, and S3) are assessed under forty-two sub-criteria. The study shows the most significant sub-criteria are recognized as dye and print quality, product design and pattern suitability, profit on the product, variation in price, and purchase cost. S2 green supplier has been selected as the most appropriate one. A sensitivity analysis is also fulfilled to check variation in the ranking of green suppliers.
AtıfScopus88WoS72OpenAlex100
İncele - MakaleYalnız künye2020Scopus SJRQ4Development and application of a novel hybrid occupational risk assessment model
Gul, Muhammet
Occupational Risk Assessment (ORA) is so crucial for safety management in the weapons industry since numerous hazards may lead to human casualties. Therefore, occupational health and safety stakeholders suggest proactive approaches in reducing risks to an acceptable level. Therefore, this paper aims to develop a novel hybrid ORA model for the weapons industry. The approach merges TODIM with Fine-Kinney concept. Risk parameters used in traditional Fine-Kinney method are weighted by Fuzzy Analytic Hierarchy Process (FAHP). Then, hazards and associated risks are prioritised using the approach. As an illustration, the gun and rifle assembly line of a weapon factory is handled. The application is carried out to improve operational safety and protect employee health. From both theoretical and practice aspects, it contributes to the literature by handling the problem in an integrated style of Fine-Kinney, FAHP and TODIM and by improving overall safety level of the observed factory and by suggesting potential action plans.
AtıfScopus4İncele - MakaleYalnız künye2019Scopus SJRQ1Measuring development levels of NUTS-2 regions in Turkey based on capabilities approach and multi-criteria decision-making
Ozdemir, Yasal; Gul, Muhammet
Regional development seeks to better understand the issues and problems facing the regions because of the contemporary economic and social changes, including the formulation of territorial policies accordingly. In Turkey, in order to coordinate regional development, 26 regional development agencies were founded relating to the nomenclature of territorial units for statistics-2 (NUTS-2) regions. Since these regions have different development levels, it is useful for stakeholders to determine performance measures related to the regional development and propose a ranking model among these regions to provide a balance in delivering financial support mechanisms. Therefore, in this study, an iterative multi-criteria decision-making (MCDM) model is proposed. Firstly, Pythagorean Fuzzy Analytic Hierarchy Process (PFAHP) is used to assign weights to indicators of well-being index for provinces (WiP) in Turkey. Then, a TODIM (an acronym in Portuguese of interactive and multiple attribute decision making) based ranking model for 26 regions was applied. Also, this model takes capabilities and well-being approach into account differently from traditional utilitarian development models which take only some macro-economic and financial parameters. In order to do this, the model uses data from WiP. On conclusion, a comparative ranking projection with two other MCDM methods and WiP is provided and an effective and broader point of view was gained by the regional development performance measuring model.
AtıfScopus31WoS25OpenAlex34İncele