Exploring Best Practices of the I4.0 Technology Application in the Design Phase of CE Implementation: A Dynamic Capabilities Approach

Taichi Arioka
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Abstract

Over the past decade, the manufacturing industry has been propelled by the Fourth Industrial Revolution (I4.0). This new paradigm has driven companies to convert their factories into intelligent ones by seamlessly integrating digital and physical spaces. To achieve this transformation, various I4.0 technologies, such as the Internet of Things (IoT), Big Data Analytics (BDA), Artificial Intelligence (AI), Additive Manufacturing (AM), and Cloud Computing (CC), have been employed. Simultaneously, global interest in sustainability has surged, leading to the advancement of the Circular Economy (CE) as a means to achieve carbon neutrality and resource optimisation at the corporate level. Previous studies have acknowledged the crucial role of I4.0 technologies in realising CE but predominantly focused on some of its specific strategic areas. Notably, extensive attention has been given to "reducing" resource consumption and "recycling" resources, while the area of "rethinking" encompassing product and service design has been understudied despite its profound impacts on the management of resources and processes throughout the subsequent operations. To address this research gap, this study explores how manufacturing companies from New Zealand (NZ) and Japan leverage I4.0 technologies to enhance their dynamic capability in the design phase of CE practices. Drawing on the perspective that product and service design represents a dynamic capability, a qualitative case study approach is designed. By conducting cross-country comparisons between NZ and Japan, this research identifies best practices in leveraging I4.0 technologies during the design phase of CE implementation. The best practices are expected to include supplier involvement in the design phase through IoT, data-driven design through BDA, and precise design specifications through AM. By focusing on the critical aspect, this study will contribute to a more comprehensive understanding of the application of I4.0 technologies in CE implementation. The findings will also offer valuable insights for companies seeking to effectively embrace CE.
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探索工业4.0技术在CE实施设计阶段的最佳实践:一种动态能力方法
在过去十年中,制造业受到第四次工业革命(I4.0)的推动。这种新模式促使企业通过无缝整合数字和物理空间,将工厂转变为智能工厂。为了实现这一转变,各种工业4.0技术,如物联网(IoT)、大数据分析(BDA)、人工智能(AI)、增材制造(AM)和云计算(CC)已经被采用。与此同时,全球对可持续发展的兴趣激增,导致循环经济(CE)的发展,作为在企业层面实现碳中和和资源优化的一种手段。以前的研究已经认识到工业4.0技术在实现CE方面的关键作用,但主要集中在一些具体的战略领域。值得注意的是,对“减少”资源消耗和“回收”资源给予了广泛的注意,而包括产品和服务设计在内的“重新思考”领域却没有得到充分的研究,尽管它对整个后续业务的资源管理和过程产生了深远的影响。为了解决这一研究差距,本研究探讨了新西兰(NZ)和日本的制造公司如何利用工业4.0技术来增强其在CE实践设计阶段的动态能力。从产品和服务设计代表动态能力的角度出发,设计了定性案例研究方法。通过对新西兰和日本进行跨国比较,本研究确定了在CE实施的设计阶段利用工业4.0技术的最佳实践。预计最佳实践将包括供应商通过物联网参与设计阶段,通过BDA进行数据驱动设计,以及通过增材制造进行精确设计规范。通过关注关键方面,本研究将有助于更全面地了解工业4.0技术在CE实施中的应用。研究结果还将为寻求有效采用CE的公司提供有价值的见解。
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