On-line predictive model for disassembly process planning adaptation
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Energy evaluation method and its optimization models for process planning with stochastic characteristics: A case study in disassembly decision-making
2012, Computers and Industrial EngineeringCitation Excerpt :Some related studies can be summarized as follows. Salomonski and Zussman (1999) present an on-line predictive model for a disassembly process. The prediction enable a planner to adapt the process plan based on the condition of the product (e.g., degree of rustiness, deformation) during process execution.
Disassembly scheduling using stochastic algorithms
2007, IFAC Proceedings Volumes (IFAC-PapersOnline)A review of electronics demanufacturing processes
2006, Resources, Conservation and RecyclingFlexible robotic demanufacturing using real time tool path generation
2006, Robotics and Computer-Integrated ManufacturingApplying equal piles approach to disassembly line balancing problem
2005, IFAC Proceedings Volumes (IFAC-PapersOnline)
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