A Methodology for Modeling a Quality Embedded Remanufacturing System
The uncertain quality of used products highly affects the performances of remanufacturing systems and quality of remanufactured products. Hence the quality issues of used product cannot be neglected in remanufacturing. To apply the quality concept into remanufacturing system control or simulation, individual management of each product is required. To this end, a multi-agent approach can provide good solutions. The first step in applying the quality concept with the multi-agent approach is an effective modeling of a remanufacturing system. This study proposes a methodology for modeling a quality embedded remanufacturing system (QRS) with two layers. The first layer represents elements in a remanufacturing system as it is. The representation also contains the information of a multi-agent structure for a QRS. The second layer expresses the status of each product and resource agent, and their relationships to manage the multi-agent system. As modeling tools to support the proposed methodology, directed graphs and Petri-Nets are used. A case study is introduced to show an application of the proposed methodology.