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A Fuzzy Knowledge-Based Disassembly Process Planning System Based on Fuzzy Attributed and Timed Predicate/Transition Net

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This paper focuses on graphic-based approaches and proposes a fuzzy knowledge-based disassembly process planning (FDPP) system for DPP. This FDPP system is based on a novel high-level Petri net (PN),… Click to show full abstract

This paper focuses on graphic-based approaches and proposes a fuzzy knowledge-based disassembly process planning (FDPP) system for DPP. This FDPP system is based on a novel high-level Petri net (PN), termed fuzzy attributed and timed predicate/transition net (FATP/T net). An FATP/T net model for DPP is developed and the model is found very compact and general to any products, due to the comprehensive modeling capability and the inclusion of a bill of material component. It avoids issues such as unmanageable big model size and specific to a product, which are often found in the DPP models based on ordinary PNs. Another feature of the FATP/T net model is that it also includes a functional test operation to discern the usability of detached subassemblies/components. In addition, we have proposed a systemic approach to transform the FATP/T net model into an FDPP system to support DPP at a system level. A telephone kit is used as an example to illustrate the applicability of the FDPP system. The FDPP system is found flexible and expandable due to the independence of its components.

Keywords: system; fdpp system; model; based disassembly; fuzzy knowledge; knowledge based

Journal Title: IEEE Transactions on Systems, Man, and Cybernetics: Systems
Year Published: 2017

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