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MCDM model to rank the performance outcomes in the implementation of Industry 4.0

Veepan Kumar, Prem Vrat, Ravi Shankar

2023Benchmarking An International Journal18 citationsDOI

Abstract

Purpose Industry 4.0 has received significant attention in today's competitive business market, necessitating a restructuring of functional domains in nearly every manufacturing organization. A comprehensive strategy to improve performance in preparation for Industry 4.0 implementation necessitates several steps, one of which is the establishment of performance outcomes (POs). The aim of this paper is to identify and rank the POs realized due to the adoption of Industry 4.0 enablers. Design/methodology/approach Based on an extensive literature review and inputs received from experts, a comprehensive list of enablers and the POs was prepared and finalized. This paper proposes a framework based on hybrid solution methodology, namely Neutrosophic Analytical Hierarchy Process (N-AHP) and Neutrosophic Combined Compromise Solution (N-CoCoSo), to rank the POs realized due to the adoption of Industry 4.0 enablers. The N-AHP methodology has been adopted to calculate the relative weights of the Industry 4.0 enablers. In comparison, the N-CoCoSo method has been adopted to rank the POs of Industry 4.0. Findings The proposed framework is applied to an Indian manufacturing organization to test the organization's practical applicability. Additionally, sensitivity analysis is also carried out to check the steadiness of the proposed framework. The findings of this study revealed that “Improved responsiveness to market conditions in today's competitive business environment” is the top-ranked PO of Industry 4.0, followed by “Enhanced competitiveness and better market share”, “Better product quality, through smart management of production process” and “Reduction in manufacturing waste and environmental sustainability” which could be realized due to adoption of its enablers. Practical implications This research would aid practitioners by enhancing the practitioners' capacity to understand and prioritize the various POs resulting from implementing Industry 4.0 enablers. Embracing a clear strategic plan will further assist practitioners in improving the efficiency of Industry 4.0 implementation. Originality/value Previous literature has only addressed the relationship between Industry 4.0 enablers and POs in a limited way. This paper attempts to compile a comprehensive list of Industry 4.0 enablers relevant to manufacturing organizations in order to fill this knowledge and research gap.

Topics & Concepts

Analytic hierarchy processRank (graph theory)RestructuringProduct (mathematics)Quality (philosophy)Computer scienceProcess managementProcess (computing)Quality managementHierarchyManufacturingMultiple-criteria decision analysisBusinessManufacturing engineeringOperations managementOperations researchMarketingEngineeringManagement systemMathematicsEconomicsGeometryOperating systemPhilosophyMarket economyFinanceCombinatoricsEpistemologyDigital Transformation in IndustrySustainable Supply Chain ManagementQuality and Supply Management
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