MCDM model to rank the performance outcomes in the implementation of Industry 4.0
PurposeIndustry 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 necessita...
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Veröffentlicht in: | Benchmarking : an international journal 2024-05, Vol.31 (5), p.1453-1491 |
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description | PurposeIndustry 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/approachBased 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.FindingsThe 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 implicationsThis 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/valuePrevious 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. |
doi_str_mv | 10.1108/BIJ-04-2022-0273 |
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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/approachBased 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.FindingsThe 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 implicationsThis 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/valuePrevious literature has only addressed the relationship between Industry 4.0 enablers and POs in a limited way. 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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/approachBased 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.FindingsThe 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 implicationsThis 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/valuePrevious 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.</description><subject>Analytic hierarchy process</subject><subject>Business competition</subject><subject>Business metrics</subject><subject>Competition</subject><subject>Competitive advantage</subject><subject>Digital technology</subject><subject>Fuzzy sets</subject><subject>Industry 4.0</subject><subject>Literature reviews</subject><subject>Manufacturers</subject><subject>Manufacturing</subject><subject>Methodology</subject><subject>Performance enhancement</subject><subject>Performance evaluation</subject><subject>Product life cycle</subject><subject>Sensitivity analysis</subject><subject>Success factors</subject><subject>Technological change</subject><subject>Technology adoption</subject><issn>1463-5771</issn><issn>1758-4094</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNptkEtPwzAQhC0EEqVw52iJs-k6tmPnCOVV1AohwdlK_RApSRxs99B_T0q5IHHakXZmV_MhdEnhmlJQs9vFMwFOCigKAoVkR2hCpVCEQ8WPR81LRoSU9BSdpbQBgJKqYoJeV_O7Fe6CdS3OAce6_8T5w-HBRR9iV_fG4bDNJnQu4ab_2TXd0LrO9bnOTehx8HjR223KcYf5NZyjE1-3yV38zil6f7h_mz-R5cvjYn6zJIZRmgmnVUmlqWpv10YUgq6FNbJS3lpf0rUquBLWA-el585K5rgRRjAHFVVScMWm6Opwd4jha-tS1puwjf34UjMQpVDVWHJ0wcFlYkgpOq-H2HR13GkKeg9Oj-A0cL0Hp_fgxsjsEBk7xrq1_yX-oGbfBFttMA</recordid><startdate>20240521</startdate><enddate>20240521</enddate><creator>Kumar, Veepan</creator><creator>Vrat, Prem</creator><creator>Shankar, Ravi</creator><general>Emerald Publishing Limited</general><general>Emerald Group Publishing Limited</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TA</scope><scope>8FD</scope><scope>JG9</scope><orcidid>https://orcid.org/0000-0003-0870-470X</orcidid></search><sort><creationdate>20240521</creationdate><title>MCDM model to rank the performance outcomes in the implementation of Industry 4.0</title><author>Kumar, Veepan ; Vrat, Prem ; Shankar, Ravi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c311t-419617c9afdbc5251b5dc798fddf61b82485df0446f4ed73e4c5c53e091875483</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Analytic hierarchy process</topic><topic>Business competition</topic><topic>Business metrics</topic><topic>Competition</topic><topic>Competitive advantage</topic><topic>Digital technology</topic><topic>Fuzzy sets</topic><topic>Industry 4.0</topic><topic>Literature reviews</topic><topic>Manufacturers</topic><topic>Manufacturing</topic><topic>Methodology</topic><topic>Performance enhancement</topic><topic>Performance evaluation</topic><topic>Product life cycle</topic><topic>Sensitivity analysis</topic><topic>Success factors</topic><topic>Technological change</topic><topic>Technology adoption</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kumar, Veepan</creatorcontrib><creatorcontrib>Vrat, Prem</creatorcontrib><creatorcontrib>Shankar, Ravi</creatorcontrib><collection>CrossRef</collection><collection>Materials Business File</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><jtitle>Benchmarking : an international journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kumar, Veepan</au><au>Vrat, Prem</au><au>Shankar, Ravi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>MCDM model to rank the performance outcomes in the implementation of Industry 4.0</atitle><jtitle>Benchmarking : an international journal</jtitle><date>2024-05-21</date><risdate>2024</risdate><volume>31</volume><issue>5</issue><spage>1453</spage><epage>1491</epage><pages>1453-1491</pages><issn>1463-5771</issn><eissn>1758-4094</eissn><abstract>PurposeIndustry 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/approachBased 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.FindingsThe 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 implicationsThis 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/valuePrevious 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.</abstract><cop>Bradford</cop><pub>Emerald Publishing Limited</pub><doi>10.1108/BIJ-04-2022-0273</doi><tpages>39</tpages><orcidid>https://orcid.org/0000-0003-0870-470X</orcidid></addata></record> |
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subjects | Analytic hierarchy process Business competition Business metrics Competition Competitive advantage Digital technology Fuzzy sets Industry 4.0 Literature reviews Manufacturers Manufacturing Methodology Performance enhancement Performance evaluation Product life cycle Sensitivity analysis Success factors Technological change Technology adoption |
title | MCDM model to rank the performance outcomes in the implementation of Industry 4.0 |
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