Neutrosophic LOPCOW-ARAS model for prioritizing industry 4.0-based material handling technologies in smart and sustainable warehouse management systems

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dc.authoridStevi?, ?eljko/0000-0003-4452-5768
dc.authoridSimic, Vladimir/0000-0001-5709-3744
dc.authoridTirkolaee, Erfan Babaee/0000-0003-1664-9210
dc.authoridDabic, Svetlana/0000-0002-9316-0817
dc.authoridAla, Ali/0000-0003-4552-4732
dc.authoridAmirteimoori, Arash/0000-0003-3792-1519
dc.authorwosidDabic, Svetlana/AGW-7049-2022
dc.authorwosidStevi?, ?eljko/P-6467-2018
dc.authorwosidSimic, Vladimir/B-8837-2011
dc.authorwosidTirkolaee, Erfan Babaee/U-3676-2017
dc.contributor.authorSimic, Vladimir
dc.contributor.authorDabic-Miletic, Svetlana
dc.contributor.authorTirkolaee, Erfan Babaee
dc.contributor.authorStevic, Zeljko
dc.contributor.authorAla, Ali
dc.contributor.authorAmirteimoori, Arash
dc.date.accessioned2024-05-19T14:42:40Z
dc.date.available2024-05-19T14:42:40Z
dc.date.issued2023
dc.departmentİstinye Üniversitesien_US
dc.description.abstractIndustry 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.en_US
dc.identifier.doi10.1016/j.asoc.2023.110400
dc.identifier.issn1568-4946
dc.identifier.issn1872-9681
dc.identifier.scopus2-s2.0-85159636179en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org10.1016/j.asoc.2023.110400
dc.identifier.urihttps://hdl.handle.net/20.500.12713/5270
dc.identifier.volume143en_US
dc.identifier.wosWOS:001041724700001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofApplied Soft Computingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240519_kaen_US
dc.subjectIndustry 4en_US
dc.subject0en_US
dc.subjectWarehouse Management Systemen_US
dc.subjectMulti -Criteria Group Decision -Makingen_US
dc.subjectArasen_US
dc.subjectType-2 Neutrosophic Numberen_US
dc.titleNeutrosophic LOPCOW-ARAS model for prioritizing industry 4.0-based material handling technologies in smart and sustainable warehouse management systemsen_US
dc.typeArticleen_US

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