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    Neutrosophic CEBOM-MACONT model for sustainable management of end-of-life tires
    (Elsevier, 2023) Simic, Vladimir; Dabic-Miletic, Svetlana; Tirkolaee, Erfan Babaee; Stevic, Zeljko; Deveci, Muhammet; Senapati, Tapan
    Management of end-of-life tires (ELTs) has evolved into an important sustainability requirement that should follow circular economy principles. It is increasingly important to find environmentally -friendly and cost-effective solutions for ELT management, particularly in the context of large freight transportation companies. Selecting the most sustainable solution from the set of available ELT management strategies, such as retreading, recycling, energy recovery, and landfilling, presents a decision-making challenge for authorities. This study aims to introduce a practical evaluation frame-work comprised of strategy alternatives and key decision-making criteria to support transportation companies in managing ELT flows. Also, the research introduces an advanced two-stage neutrosophic decision support model to solve the addressed problem and reveal the most sustainable strategy. The model is based on the integration of the cross-entropy-based optimization model (CEBOM) method and mixed aggregation by comprehensive normalization technique (MACONT) under the type -2 neutrosophic number (T2NN) environment. Prominent features of T2NN-CEBOM are hybrid weighting sub-framework and processing controllability. Distinguished characteristics of T2NN-MACONT are av-erage referencing, triple-normalization support, modeling of risk attitude behavior, adjustable ordering schemes, and an advanced scoring system. The real-life study of one of the largest German freight transportation companies that operates along an important European transit route offers practical insights for decision-makers when evaluating ELT management strategies. The research findings show that retreading is the most sustainable solution. The eight sensitivity analyses confirm the high robustness of the introduced decision-support model. The comparative analysis reveals the superiority of T2NN-CEBOM-MACONT for employment in practical settings.& COPY; 2023 Elsevier B.V. All rights reserved.
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    Neutrosophic LOPCOW-ARAS model for prioritizing industry 4.0-based material handling technologies in smart and sustainable warehouse management systems
    (Elsevier, 2023) Simic, Vladimir; Dabic-Miletic, Svetlana; Tirkolaee, Erfan Babaee; Stevic, Zeljko; Ala, Ali; Amirteimoori, Arash
    Industry 4.0 technologies embedded in the warehouse management system (WMS) are needed to improve the automation of material handling activities such as receiving, storing, picking, sorting, packaging, and delivering. This research aims to introduce a neutrosophic multi-criteria group decision -making tool that is intelligible in supporting the transition and upgrading of WMS with Industry 4.0-based solutions. This advanced two-stage model is based on the integration of the logarithmic percentage change-driven objective weighting (LOPCOW) method and the additive ratio assessment (ARAS) method under the type-2 neutrosophic number (T2NN) environment. In the first stage, T2NN-LOPCOW generates an objective importance vector of decision-making criteria. In the second stage, T2NN-ARAS based on the generalized weighted Heronian mean operator provides an advantageous order of Industry 4.0-based material handling technologies. T2NN-LOPCOW-ARAS brings the following novelties: ((i) to straightforwardly represent and explore interconnection levels between weights of criteria, ((ii) to provide wide-scoping insight into the stability of initial priority order, as well as a broad spectrum of flexible solutions, ((iii) to control the normalization procedure and minimize distortions due to the double-normalization backbone. The real-life case study of a logistics company from the Serbian grocery retail sector illustrates the practical applicability of T2NN-LOPCOW-ARAS. A practical evaluation framework is defined to comprehensively assess automated guided vehicles (AGVs), collaborative robotics, and drones. The sensitivity analyses show the high robustness of the proposed framework. The comparative investigation shows that T2NN-LOPCOW-ARAS is superior to the extant methods. The research findings show that AGVs are the most favorable Industry 4.0-based material handling solution.& COPY; 2023 Elsevier B.V. All rights reserved.