Abstract

The effective supply chain design is evaluated by the successful implementation of a strategy deployed, and the index that determine a successful implementation is known as a performance measurement system (PMS). Based on the literature reviews, a good performance evaluation system should be able to anticipate outputs and provide the mechanism for performance improvement. The aim of this dissertation to pay an attention on the performance evaluation and improvement in the supply chain system.This dissertation consists of five chapters. The first chapter deals with the introduction of the PMS and the SCOR model where the research problems are identified. In chapter 2, the literature reviews are provided. It consists of the theory of the SCOR model, the MILP model, uncertainty and the fuzzy set theory (FST), and, the fuzzy QFD approach. These philosophies are provided as the background to support the establishment of the proposed methodology. In chapter 3, this dissertation develops a methodology to evaluate the SCOR KPIs by using the predictive MILP model with fuzzy parameters. The novelty of this chapter is to relate the manufacturing parameters to the SCOR KPIs, and use the MILP model with fuzzy parameters to enable the performance prediction process. The results of this chapter indicate that the proposed methodology can use as a tool to perform the predictive process when the manufacturing parameters are changed. In chapter 4, the dissertation proposes the fuzzy QFD approach to manage the SCOR KPIs for improvement. The eight-step QFD approach for managing the SCOR KPIs are proposed where the SCOR KPIs are identified as Whats, and the manufacturing capabilities are identified as Hows. This dissertation is the first to attempt to develop the fuzzy QFD approach to combine with the SCOR model in performance management issue. In chapter 5, the findings of each chapter are recapped, then the theoretical and practical contributions in this research are summarized. Finally, the limitations and recommendation are outlined.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call