INFERENCE CONFORMITY BASED ANALYSIS FOR EOL PRODUCT RECOVERY OPTIONS DECISION MAKING

Abstract

The objective of this thesis is to develop a comprehensive assessment framework and models integrating technical, time, economic and environmental aspects to evaluate recoverability of EoL product and provide optimal solution. A technique uses manufacturing information as reference data in this thesis called Inference Conformity Based Analysis (ICoBA) was developed. This technique is applied in characterization of EoL product condition, which it quantifies the EoL product condition in measurable values in terms of time, cost and environmental impact. Subsequently, the final decision is made based on the three aspects using Multi-attribute Utility Theory (MAUT) decision analysis. In order to demonstrate the application of the assessment framework and models in real business environment, real cases collected from industrial partner on consumer product was studied. The case study has confirmed the readiness of the framework and models as a tool to evaluate products at the end of their life.