An online collaborative semiconductor yield forecasting system

2012

Algorithms

Self Cite

Forecasting the unit cost of every product type in a factory is an important task. However, it is not easy to deal with the uncertainty of the unit cost. Fuzzy collaborative forecasting is a very effective treatment of the uncertainty in the distributed environment. This paper presents some linear fuzzy collaborative forecasting models to predict the unit cost of a product. In these models, the experts’ forecasts differ and therefore need to be aggregated through collaboration. According to the experimental results, the effectiveness of forecasting the unit cost was considerably improved through collaboration

Section: Open Accessmentioning

confidence: 99%

Forecasting the Unit Cost of a Product with Some Linear Fuzzy Collaborative Forecasting Models

2012

Algorithms

Self Cite

“…They also wrote some database applications (DBAPs) in ASPs using Visual Basic Script to assist implementation of project learning activities (Figure 14). To generate association rules, MATLAB was applied to mine the project database (Chen, 2009(Chen, , 2011. Finally, a web-based integrated project management system was developed to integrate these sub-systems: and the data flows among these components.…”

Section: Figure 9 the E-commerce Application System Development Proje...mentioning

confidence: 99%

An Integrated Project Management System for Facilitating Knowledge Learning

International Journal of Enterprise Information Systems

Wang

2012

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Numerous difficulties and problems are associated with learning in a project. To tackle these problems, in this paper, an integrated project management model is constructed for facilitating knowledge learning. First, the depth of a professional or management skill is defined and evaluated using the analytic hierarchical procedure. A project cannot start until the depth of every necessary skill reaches a certain level. There is also stepwise increase in the scores of successive projects. A systematic procedure composed of fifteen steps is then embedded in the system to facilitate project learning. The proposed methodology is applied to the development of an e-commerce application system.

“…In Chen (2009a), a fuzzy collaborative forecasting method based on multiple linear regression was proposed to predict the job cycle time. In Chen and Lin (2008) and Chen (2009b), fuzzy collaborative forecasting methods based on the yield learning model were proposed to predict the yield of a semiconductor product. Another fuzzy collaborative forecasting method was applied to estimate the unit cost per die in Chen (2011aChen ( , 2011b.…”

Section: Introductionmentioning

confidence: 99%

Some Linear Fuzzy Collaborative Forecasting Models for Semiconductor Unit Cost Forecasting

International Journal of Fuzzy System Applications

2013

Self Cite

Forecasting the unit cost of every product type in a factory is an important task to the factory. However, it is not easy to deal with the uncertainty in the unit cost. Fuzzy collaborative forecasting is very effective in handling the uncertainty in the distributed environment. This paper presents some fuzzy collaborative forecasting models to predict the unit cost of a semiconductor product. According to the experimental results, the effectiveness of forecasting the unit cost was considerably improved through the objects’ collaboration.