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Production engineering

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Full-Text Articles in Engineering

Case-Based Reasoning Disassembly System, Ibrahim Zeid, Surendra M. Gupta, Li Pan Sep 2010

Case-Based Reasoning Disassembly System, Ibrahim Zeid, Surendra M. Gupta, Li Pan

Surendra M. Gupta

This paper presents a new approach to address the problem of Planning for Disassembly (PFD). The approach is based on the Case-based reasoning technique. To assist planners to solve PFD problems, a system must have some heuristics and domain specific knowledge, which is related to the representation of the disassembly knowledge. In previous work, the authors suggested to use EMOPs (Eposodic Memory Organization Packet) for the knowledge representation of the PFD plan. This paper demonstrates the implementation of the EMOP memory model. The model has been implemented in C++, and tested. An example is presented to demonstrate the capabilities of …


Pricing Decisions For Product Recovery Facilities In A Multi-Criteria Setting Using Genetic Algorithms, Surendra Gupta, Srikanth Vadde, Sagar Kamarthi Sep 2010

Pricing Decisions For Product Recovery Facilities In A Multi-Criteria Setting Using Genetic Algorithms, Surendra Gupta, Srikanth Vadde, Sagar Kamarthi

Surendra M. Gupta

Independent and small scale product recovery facilities (PRFs) often struggle to achieve profits when faced with inconsistent inflows of discarded products, varying demand patterns for recovered components, and stringent environmental regulations. Inconsistent inflows coupled with the varying demand cause undue fluctuations in inventory levels and frequently affect costs involved in product recovery operations. An effective pricing strategy can stabilize the fluctuations in demand and consequently can allow PRFs to control inventory levels. This research determines the prices of reusable and recyclable components and acquisition price of discarded products that allow PRFs to simultaneously maximize their financial returns and minimize the …


Genetic Algorithm For Disassembly Process Planning, Surendra Gupta Sep 2010

Genetic Algorithm For Disassembly Process Planning, Surendra Gupta

Surendra M. Gupta

When a product reaches it's end-of-life, there are several options available for processing it including reuse, remanufacturing, recycling, and disposing (the least desirable option). In almost all cases, a certain level of disassembly may be necessary. Thus, finding an optimal (or near optimal) disassembly sequence is crucial to increasing the efficiency of the process. Disassembly operations are labor intensive, can be costly, have unique characteristics and cannot be considered as reverse of assembly operations. Since the complexity of determining the best disassembly sequence increases with the increase in the number of parts of the product, it is extremely crucial that …