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Quality Assurance in Remanufacturing with Sensor Embedded Products

  • Onder Ondemir
  • Surendra M. GuptaEmail author
Chapter

Abstract

Emerging information technologies, such as sensors and radio frequency identification (RFID) tags could be used to mitigate planning of remanufacturing operations by reducing or almost eliminating uncertainty. Using the information collected by sensors, existence, types, conditions, and remaining lives of components in an end-of-life product (EOLP) can be determined. Remaining useful life can be taken into account as a good measure of quality. Therefore, determination of remaining useful life allows decision makers to construct sophisticated recovery models that guarantee a minimum quality level on recovered products while optimizing various system criteria. In this paper, we present a remanufacturing-to-order (RTO) system for end-of-life sensor embedded products (SEPs). An integer programming (IP) model is proposed to determine how to process each and every end-of-life product on hand to meet the quality-based product and component demands as well as recycled material demand while fulfilling the minimum cost objective. Demands are met by disassembly, remanufacturing, and recycling operations. Outside component procurement option is used to eliminate the component and material backorders. A case example is considered to illustrate the application of the proposed methodology.

Keywords

Quality Level Reverse Logistics Product Recovery Remanufactured Product Recovery Facility 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag London 2013

Authors and Affiliations

  1. 1.Department of Industrial EngineeringYildiz Technical UniversityIstanbulTurkey
  2. 2.Laboratory for Responsible Manufacturing, 334 SN, Department of Mechanical and Industrial EngineeringNortheastern UniversityBostonUSA

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