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Digital Twin Approach for Solving Reconfiguration Planning Problems in RMS

Abstract : Reconfigurable Manufacturing System (RMS) appeared as a solution to high variation in customer demands allowing manufacturers to satisfy different amount of demands in different period. RMS satisfies demands by rapidly reconfiguring its hardware and software components, in order to quickly adjust its production capacity and functionality within a part family in response to sudden market changes or intrinsic system change depends on the demand of every single period. This reconfiguration process brings a critical issue within the RMS that is called as reconfiguration planning problems (RPP) introduced in this paper. With the rise of digital twin that has been a global issue, many companies or manufacturers are trying to integrate it into their production systems. There is a need of RMS to apply digital twin in order to hopefully improve the effectiveness and efficiency so that RPP can be automatically solved and controlled. The goal of this paper is to address the importance and requirement of the integration of digital twin simulation into RMS by providing comparison study between normal simulation program and digital twin simulation program. A case study is presented for comparison of two simulation models. Plant Simulation 11 is used for a normal simulation model, while Visual Components is used to build a digital twin simulation model.
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Kezia Kurniadi, Sangil Lee, Kwangyeol Ryu. Digital Twin Approach for Solving Reconfiguration Planning Problems in RMS. IFIP International Conference on Advances in Production Management Systems (APMS), Aug 2018, Seoul, South Korea. pp.327-334, ⟨10.1007/978-3-319-99707-0_41⟩. ⟨hal-02177876⟩

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