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    Agile supply chain management based on critical success factors and most ideal risk reduction strategy in the era of industry 4.0: application to plastic industry
    (Springer, 2023) Korucuk, Selcuk; Tirkolaee, Erfan Babaee; Aytekin, Ahmet; Karabasevic, Darjan; Karamasa, Caglar
    In the global trade economy, the degree of competition and differentiation among organizations working in the sector of Supply Chain Management (SCM) is expanding gradually. For companies, SCM operations are becoming more important than manufacturing, sales, and marketing activities, and new ways and methods are preferred for efficiency and performance. The agility (or agility phenomenon) is one of the applications that aids effective SCM operations in this context. Agile Supply Chain Management (ASCM) and the emergence of Industry 4.0 practices, in addition to offering a cost advantage and business performance improvement, are crucial in providing flexibility to companies and ensuring their survival in the era of Industry 4.0. Meanwhile, companies aim to deal with uncertainty and implement various risk-reduction strategies as part of effective SCM. In this context, the study lists the critical success factors of ASCM and selects the most appropriate risk reduction strategy for companies that manufacture and market rubber and plastic products with a corporate identity and conduct import and export business in Istanbul. For this purpose, the criteria and alternatives specified in accordance with the literature review and experts' opinions are examined using Bipolar Neutrosophic Stepwise Weight Assessment Ratio Analysis (BN-SWARA) and Bipolar Neutrosophic Technique for Order of Preference by Similarity to Ideal Solution (BN-TOPSIS) methods. The ranking results are then discussed in line with the practical implications to provide managerial insights and decision aids. Finally, the main limitations are expressed in order to delineate useful future research directions.
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    Critical success factors of lean six sigma to select the most ideal critical business process using q-ROF CRITIC-ARAS technique: Case study of food business
    (Pergamon-Elsevier Science Ltd, 2023) Aytekin, Ahmet; Okoth, Basil Oluch; Korucuk, Selcuk; Mishra, Arunodaya Raj; Memis, Salih; Karamasa, Caglar; Tirkolaee, Erfan Babaee
    The current market conditions have forced Lean Six Sigma (LSS) upon businesses as one of the must-have practices. The practices have been credited with enhancing the efficiency of the operational and functional processes of enterprises from production to marketing, from personnel management to finance, all the while helping them augment their growth and profitability. LSS has the customer as its main focus and works to create added value for businesses through cost reduction and waste prevention hence can be considered as a process improvement practice. One priority area of improvement in most organizations is the assessment of Critical Business Processes (CBPs) as key processes in the success of businesses that must be tackled in line with the objectives of the businesses due to their extensive impact on customer satisfaction. For this purpose, this study evaluates and ranks the CBPs, and then select the most ideal CBP in food companies with corporate identity in Istanbul following the LSS success factors. Hence, the components attained from the literature are assessed using the suggested q-ROF CRITIC-ARAS method which is based on CRiteria Importance Through Intercriteria Correlation (CRITIC), Additive Ratio Assessment (ARAS) techniques and q-Rung Orthopair Fuzzy Sets (q-ROFSs). The findings demonstrate that the most important criterion for LSS success in food businesses is Top Management and Support, while Education and Culture is the least important. Furthermore, Enlightenment Approach is found to be the most ideal CBP based on LSS success factors.
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    Evaluating and selecting sustainable logistics service providers for medical waste disposal treatment in the healthcare industry
    (Elsevier Sci Ltd, 2023) Gorcun, Omer Faruk; Aytekin, Ahmet; Korucuk, Selcuk; Tirkolaee, Erfan Babaee
    Health institutes are structurally growing depending on the population increase and escalating demands for health services. As a negative result, the health industry produces more healthcare waste daily. Its efforts and resources cannot be sufficient to dispose of such medical wastes as the quantity and variety continue to increase. Therefore, developing solution partnership relations with logistics service providers specialized in collecting, storing, and disposing healthcare waste may be a beneficial and fruitful step for solving this problem. However, the evaluation and selection of service suppliers for healthcare waste disposal may not always result in success. Hence, the present work develops a robust integrated methodology on the basis of Step-wise Weight Assessment Ratio Analysis (SWARA) and COmplex PRoportional ASsessment (COPRAS) techniques based on Interval-Valued Fermatean Fuzzy Sets (IVFFSs) for healthcare decision-makers to make more rational and optimal decisions concerning service supplier selection. The proposed model based on the IVFFSs can also overcome incredibly complicated uncertainties in the assessment processes. A large-scale international hospital chain in Turkey is investigated using the developed methodology to find reasonable and logical solutions to assess and select the best Medical Waste Disposal and Logistics (MWDL) firm. It is revealed that the most important criterion is Storage Conditions where Republic Services, Inc is the most successful supplier of MWDL. Finally, theoretical and practical implications are discussed in detail in order to provide useful managerial insights and decision aids to assist in improving the sustainability of healthcare industry.
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    A neutrosophic approach to evaluate the factors affecting performance and theory of sustainable supply chain management: application to textile industry
    (Emerald Group Holdings Ltd., 2022) Aytekin, Ahmet; Okoth, Basil Oluoch; Korucuk, Selcuk; Karamasa, Caglar; Tirkolaee, Erfan Babaee
    Purpose: Sustainable supply chain management (SSCM) practices and policies are necessary for businesses that seek to take part in international markets and ensure any form of competitiveness. Over time, and especially in the recent past, researchers, governments, and other policymakers have made use of broad and systematic approaches and come to appreciate the value-enhancing activities of sustainability. Design/methodology/approach: Businesses have embraced the integration of sustainable policies and practices within the supply chain as a critical step in ensuring the efficiency of their operations. It is clear in previous studies and operational programs of enterprises that SSCM practices accord businesses certain benefits including improving their environmental, social, and economic performance, and increasing their ecological awareness by way of influencing performance elements within supply networks in enterprises. The study examines the factors influencing performance and theories of SSCM using a neutrosophic method in the textile industry. Findings: SSCM performance is thus of great importance in ensuring business success and competitiveness, realizing customer satisfaction, and leaving the environment in a desirable state for future generations. Performance management, by assisting in the decision-making by managers and ensuring an adequate level of internal interaction, is an integral part of assimilating sustainability management into businesses. SSCM theories also have a strong impact on the determination of the sources of competitive advantage through effective utilization of business capabilities to solve environmental and social challenges that may affect business performance. Originality/value: In line with the benefits highlighted, this study seeks to evaluate and select the factors affecting SSCM performance and theory in textile enterprises with corporate identity in Ordu and Giresun provinces following a neutrosophic approach. To this end, the elements obtained from the literature review are evaluated using the MULTIMOORA-mGqNN method. © 2022, Emerald Publishing Limited.
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    Sustainability performance assessment of freight transportation modes using an integrated decision-making framework based on m-generalized q-neutrosophic sets
    (Springer, 2024) Gorcun, Omer Faruk; Tirkolaee, Erfan Babaee; Aytekin, Ahmet; Korucuk, Selcuk
    The freight transport industry is one of the primary sectors responsible for excessive energy consumption and greenhouse gas emissions. Restructuring international and domestic freight transport chains based on sustainability and green transportation is critical for practitioners and policymakers to reduce pressure on the logistics and transportation industries. This study aims to develop a mathematical model for selecting the most appropriate transportation type, and accordingly, the optimal route in transportation operations to improve the sustainability performance of the freight transportation industry. Therefore, the main goal is to choose the most suitable route and transportation type which contributes to create a more eco-friendly and sustainable transportation system. For this purpose, Neutrosophic Number-based Delphi (NN-Delphi), m-Generalized q-Neutrosophic Sets (mGqNSs)-based Stepwise Weight Assessment Ratio Analysis (MGqNS-SWARA) and mGqNSs-based Additive Ratio Assessment (mGqNS-ARAS) are developed and implemented to set the influential criteria, compute the weights of these criteria, and identify the sustainability performance of the freight mode variants, respectively. According to the final results, Cargo security and Accident rates are the most important criteria with a relative importance score of 0.0237, contributing to the sustainability of load transport modes. Moreover, Maritime Transport Mode is identified as the most sustainable transportation type with a relative importance score of 0.7895. Finally, it is revealed that there is a positive relationship between maritime transport and sustainability.