Abstract
Discrete manufacturing faces challenges to improve quality and efficiency, reduce labor and costs, as well as the shifting market from customized manufacturing to short-seriesproduction, just to name a few. Cyber-Physical System (CPS) which combines physical world and cyber world is a key technology of coping these challenge particularly in the shop floor level. However, due to its complexities and heterogeneities, CPS development and implementation in discrete manufacturing field is still in rudimentary phase which requires feasible methods to evaluating the maturity of current system. This paper proposes an evolution process of CPS in discrete manufacturing which can be characterized by two-dimensional perspectives concerning MT(manufacturing technology) and ICT(information and communication technology) elements. A maturity model (CPSMM) is presented to conceptualize the maturity of CPS implementation process in discrete manufacturing shop floor. The importance weights of indicators in the maturity model are acquired based on AHP with group decision. A semantic grading approach is proposed to guide and constrain accessing process which allows to use triangle fuzzy numbers. Procedures and algorithms on calculating CPS-AHP are given and applied in a mechanical shop floor for illustration. DOI: http://dx.doi.org/10.5755/j01.mech.24.1.18370
Highlights
Along with Industry 4.0, Smart Manufacturing has been expected to be an inspiring and feasible manufacturing paradigm to improve productivity, quality and utilization of resources, reduce operation costs and development cycle as well [1].Shop floor is the execution level of product manufacturing which underlines the fundamental and crucial facet concerning SM implementation
Considering the uncertainty and vagueness of practical applications, a more appropriate way of representing values of indicators with Linguistic Variables which can further transform into Triangular Fuzzy Numbers (TFNs) is presented
Assessing the Cyber-Physical Systems (CPS) maturity in discrete shop floor gives enterprises a feasible approach to be aware of the implementation status thereby to improve its weak aspects
Summary
Along with Industry 4.0, Smart Manufacturing has been expected to be an inspiring and feasible manufacturing paradigm to improve productivity, quality and utilization of resources, reduce operation costs and development cycle as well [1]. The concept of Smart shop-floor can be defined as a product manufacturing utility with self-control, self-scheduling and self-organization capabilities, based on real-time data acquiring, transformation and processing. Previous researches had pointed out that Cyber-Physical Systems (CPS) which fusion cyber world and physical world is the key technology to develop smart shop floors [2,3,4]. National Institute of Standards and Technology (NIST) defines CPS as smart system that includes interacting networks of physical and computational components [5]. This paper proposes an evolution process of CPS in discrete manufacturing which can be characterized by two-dimensional perspectives concerning MT (manufacturing technology) and ICT (information and communication technology) elements. A maturity model (CPSMM) is presented to conceptualize the maturity of CPS implementation process in discrete manufacturing shop floor. Procedures and algorithms of proposed methods are given and applied in a mechanical shop floor for illustration
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