Ilias Vlachos, Rodrigo Martinez Pascazzi, G. Zobolas, Panagiotis P. Repoussis, M. Giannakis
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引用次数: 31
Abstract
Abstract Industry 4.0 represents a new industrial paradigm ignited by disruptive technologies that can transform manufacturing into a cyber-physical system that integrates products, people and processes. However, there is little guidance concerning how to implement and integrate Industry 4.0 technologies by existing lean manufacturing (LM) systems. We select autonomous guided vehicles (AGVs) and internet of things (IoT) to develop an action plan that helps managers integrate Industry 4.0 technologies into their manufacturing systems and achieve lean automation. We conducted a case study of a large manufacturing company that introduced AGVs and IoT to automate its lean operations. We used socio-technical systems (STSs) design logic to integrate the two distinct domains (lean and automation) into an action plan that successfully meets six lean automation objectives. The findings demonstrate that AGVs implementation should include three phases: design, integration and continuous improvement. The lean automation objectives are: cost, reusability, reliability, simplicity, compactness, fit, engage and culture. The lean automation plan successfully manages the interactions and interplay between social factors (people and culture), technical factors (infrastructure and technology) and operational factors (routines and processes). The lean automation plan has significant managerial implications helping companies integrate lean philosophy, which is people-centric, with Industry 4.0 technologies, which promote efficiency via automation.
期刊介绍:
Production Planning & Control is an international journal that focuses on research papers concerning operations management across industries. It emphasizes research originating from industrial needs that can provide guidance to managers and future researchers. Papers accepted by "Production Planning & Control" should address emerging industrial needs, clearly outlining the nature of the industrial problem. Any suitable research methods may be employed, and each paper should justify the method used. Case studies illustrating international significance are encouraged. Authors are encouraged to relate their work to existing knowledge in the field, particularly regarding its implications for management practice and future research agendas.