Multi-Criteria Optimization for Selection of Components from End-of-Life Products

Abstract

In this chapter, a case of reverse supply chain is considered, where a product recovery facility receives sensors and Radio Frequency Identification (RFID) tags embedded End-Of-Life (EOL) products. Sensors and RFID tags can capture and store component’s life cycle information during its economic life. This technology can provide data about contents and conditions of products and components without the need of actual disassembly and inspection. It also determines the remaining lives of the components which eventually translate into their quality levels.

The example considered here presents an advanced-repair-to-order-and-disassembly-to-order system. It disassembles the components to meet the components’ demands, repairs the products to meet the products’ demands and recycles the materials to meet the materials’ demands. The received EOL products may have different design alternatives. The objective of the proposed multi-criteria decision-making model is to determine which of the design alternatives is best in fulfilling the various criteria.

Citation

Joshi, A.D. and Gupta, S.M. (2017), "Multi-Criteria Optimization for Selection of Components from End-of-Life Products", Applications of Management Science (Applications of Management Science, Vol. 18), Emerald Publishing Limited, Leeds, pp. 3-19. https://doi.org/10.1108/S0276-897620170000018001