Developing a sound performance measurement model is a critical task for a supply chain and its members in order to examine their current status and identify improvement opportunities for steering their future direction. This research proposes an integrated framework for supply chain performance measurement. It adopts the six-sigma metrics and includes three components (i.e., team structure measurement, supply chain process measurement, and output measurement) to provide a more complete coverage of performance requisites, which has not been adequately addressed in relevant literatures before. Also, a case is applied to demonstrate the feasibility of the model. Complying with the application of this framework, the whole chain or individual members in a supply chain can advance the performance in a more effective way.
During the recent years, the major driving forces of customer preference, vehicle safety, environmental protection, and flat demand for new cars led to a proliferation of car models and associated price reduction in the auto supply chain. To react to the complex and competitive environment, auto suppliers are urgent to conduct continual improvement (CI) in an effective and systematic way. Thus, this paper presents a framework for CI. The Integrated Development System is proposed to integrate both capability maturity model integration and six-sigma approach. By implementing the framework, an automaker can establish a solid process-based management system, identify critical processes, and optimize these processes. For demonstrating the application of this framework, a case study is presented and the result shows that all expected processes' performance targets are achieved, which has dramatically improved by 70% compared with the past records. Apparently, the proposed framework would act as a useful reference to improve an organization's process maturity.
With the uncertain influential factors of demands and the lack of required historical data, demand estimation for new telecommunication services have generally relied just on marketing survey and analysis. However, the data collected from marketing survey are usually expressed in human linguistic forms and hence are fuzzy in nature. That means the estimation method derived from traditional sampling theory cannot fully represent such fuzzy data and thus biased consequences caused often. Therefore, in this study, to completely capture the uncertainty of the surveyed data, we adopt a series of analytical methods based on fuzzy set theory to construct a fuzzy estimation model. Based on the proposed model, a solution procedure is developed to aid users to acquire the demands of new telecommunication services. Finally, the solution procedure is employed to estimate demands of mobile phone service within one year in Taiwan with satisfactory results.
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