Prioritisation and causal relationships of industry 4.0 readiness determinants: empirical validation of an assessment framework

IF 7.3 2区 工程技术 Q1 ENGINEERING, INDUSTRIAL
Premaratne Samaranayake, Krishnamurthy Ramanathan, Weerabahu Mudiyanselage Samanthi Kumari Weerabahu
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引用次数: 0

Abstract

Purpose

The main purpose of this research is to (1) prioritise key determinants of Industry 4.0 (I4.0) readiness assessment and (2) evaluate causal relationships among those determinants and associated sub-criteria based on inputs from industry experts.

Design/methodology/approach

The methodology involved two phases: (1) an MCDM approach for determining causal relationships among determinants and (2) empirical validation of findings from the first phase using industry experts' inputs.

Findings

It was found that while the choice of I4.0 technologies is important, organisational factors are also critical, as evidenced by the ranking of the “Strategy and Organisation” determinant as the highest rank prominent determinant. Also, the ranking of the sub-criteria within each determinant shows the importance of several organisational influencing and resulting sub-criteria.

Research limitations/implications

This research extends the existing literature on I4.0 by demonstrating the prioritisation of determinants and delineating causal relationships among them and associated sub-criteria as a basis for developing I4.0 adoption guidelines. This research is limited to the specific scope of determinants selected/considered and experts' inputs from the Sri Lankan manufacturing sector. Future studies could consider extending this research into a broader global manufacturing context.

Practical implications

Prioritisation and causal relationships of I4.0 readiness assessment determinants, supported with inputs from functional managers and industry experts, could be used to guide practitioners in developing guidelines for I4.0 adoption in a phased manner.

Originality/value

This research provides a re-evaluation and validation of a selected I4.0 readiness assessment framework from the perspectives of interdependencies and casual relationships among its determinants and sub-criteria, based on inputs from industry experts as a basis for developing guidelines for I4.0 adoption.

工业4.0准备就绪决定因素的优先级和因果关系:评估框架的实证验证
本研究的主要目的是:(1)优先考虑工业4.0 (I4.0)准备评估的关键决定因素,(2)根据行业专家的输入评估这些决定因素和相关子标准之间的因果关系。设计/方法/方法该方法包括两个阶段:(1)确定决定因素之间因果关系的MCDM方法;(2)使用行业专家的输入对第一阶段的发现进行实证验证。研究发现,虽然工业4.0技术的选择很重要,但组织因素也很关键,“战略和组织”决定因素排名最高,这证明了这一点。此外,每个决定因素中的子标准的排名显示了几个组织影响和产生的子标准的重要性。本研究扩展了现有的关于工业4.0的文献,展示了决定因素的优先级,描述了它们之间的因果关系,并将相关的子标准作为制定工业4.0采用指南的基础。本研究仅限于选定/考虑的决定因素的具体范围和专家从斯里兰卡制造业部门的投入。未来的研究可以考虑将这项研究扩展到更广泛的全球制造业背景下。实际意义工业4.0准备评估决定因素的优先级和因果关系,在职能经理和行业专家的支持下,可以用来指导从业者以分阶段的方式制定工业4.0采用的指导方针。原创性/价值本研究根据行业专家的意见,从决定因素和子标准之间的相互依赖关系和偶然关系的角度,对选定的工业4.0准备程度评估框架进行了重新评估和验证,作为制定工业4.0采用指南的基础。
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
Journal of Manufacturing Technology Management
Journal of Manufacturing Technology Management Engineering-Control and Systems Engineering
CiteScore
16.30
自引率
7.90%
发文量
45
期刊介绍: The Journal of Manufacturing Technology Management (JMTM) aspires to be the premier destination for impactful manufacturing-related research. JMTM provides comprehensive international coverage of topics pertaining to the management of manufacturing technology, focusing on bridging theoretical advancements with practical applications to enhance manufacturing practices. JMTM seeks articles grounded in empirical evidence, such as surveys, case studies, and action research, to ensure relevance and applicability. All submissions should include a thorough literature review to contextualize the study within the field and clearly demonstrate how the research contributes significantly and originally by comparing and contrasting its findings with existing knowledge. Articles should directly address management of manufacturing technology and offer insights with broad applicability.
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