Success Mechanisms of Smart Factories in Small and Medium-Sized Enterprises

N. Uchihira
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Abstract

Although large companies have progressed in digital transformation (DT) of factories using Internet of Things (IoT) and artificial intelligence (AI), small and medium-sized enterprises (SMEs) have not progressed enough. However, considering the efficiency and value creation of the entire supply chain, it is important to promote a smart factory in not only large companies but also SMEs. This study examines the success factors and mechanisms based on the case studies of Japanese SMEs that have successfully implemented smart factories. Then, its characteristics are compared with those of large companies. Specifically, in SMEs, where the top management and the factory floor are in close proximity, if the purposes and vision of DT are clear and the top management understands its possibilities and limitations, successful experiences can spread throughout the company through trial and error using an in-house system optimized for the factory floor. This study reveals that the success mechanism makes it easier for SMEs to promote DX than for large companies under certain conditions, which is a new finding and a theoretical contribution. The practical contribution of this study is that it guides SMEs to promote DT in factories in SMEs based on this mechanism.
中小企业智能工厂的成功机制
虽然大企业利用物联网(IoT)和人工智能(AI)在工厂数字化转型(DT)方面取得了进展,但中小企业(SMEs)的进展还不够。然而,考虑到整个供应链的效率和价值创造,不仅要在大公司中推广智能工厂,而且要在中小企业中推广智能工厂。本研究通过对成功实施智能工厂的日本中小企业的案例研究,探讨了成功的因素和机制。然后,将其与大公司的特点进行比较。具体来说,在中小企业中,高层管理人员和工厂车间距离很近,如果DT的目的和愿景清晰,高层管理人员了解其可能性和局限性,成功的经验可以通过使用针对工厂车间优化的内部系统的试验和错误传播到整个公司。本研究揭示了成功机制使得中小企业在一定条件下比大企业更容易推进数字化转型,这是一个新的发现,也是一个理论贡献。本研究的实践贡献在于指导中小企业基于这一机制在中小企业工厂中推行DT。
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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