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

IF 4.5 Q1 MANAGEMENT
Veepan Kumar, P. Vrat, Ravi Shankar
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引用次数: 0

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.
MCDM模型对实施工业4.0的绩效结果进行排名
工业4.0在当今竞争激烈的商业市场中受到了极大的关注,几乎每个制造组织都需要对功能领域进行重组。为准备实施工业4.0而提高绩效的综合战略需要几个步骤,其中一个是建立绩效结果(POs)。本文的目的是识别和排名由于采用工业4.0推动者而实现的POs。设计/方法论/方法基于广泛的文献审查和专家的意见,编制并最终确定了一份全面的促成因素和采购计划清单。本文提出了一个基于混合解决方案方法的框架,即中性分析层次分析法(N-AHP)和中性综合折衷方案(N-CoCoSo),对由于采用工业4.0推动因素而实现的POs进行排名。采用N-AHP方法计算工业4.0推动因素的相对权重。相比之下,采用N-CoCoSo方法对工业4.0的POs进行排名。研究结果将提出的框架应用于一家印度制造组织,以测试该组织的实际适用性。此外,还进行了灵敏度分析,以检验所提出框架的稳定性。研究结果显示,“在当今竞争激烈的商业环境中提高对市场状况的响应能力”是工业4.0的首要目标,其次是“提高竞争力和更好的市场份额”,“通过智能管理生产过程提高产品质量”和“减少制造废物和环境可持续性”,这些都可以通过采用其使能器来实现。实际意义本研究将通过提高从业者理解和优先考虑实施工业4.0推动者所产生的各种POs的能力来帮助从业者。制定明确的战略计划将进一步帮助从业者提高工业4.0的实施效率。原创性/价值以前的文献只以有限的方式解决了工业4.0推动者和POs之间的关系。本文试图编制一份与制造组织相关的工业4.0推动者的综合清单,以填补这一知识和研究空白。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
10.40
自引率
16.10%
发文量
154
期刊介绍: Benchmarking is big news for companies committed to total quality programmes. Its enthusiastic reception by many prominent business figures has created high levels of interest in a technique which promises big rewards for co-operating partners. Yet, like total quality itself, it must be understood in its proper context, and implemented single mindedly if it is to be effective - this journal helps companies to decide if benchmarking is right for them, and shows them how to go about it successfully.
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