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

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.