Research On Application Of Data Mining In BTO Production Planning Of Notebook Computers

Due to the development of mobile computing technology, notebook computers have been gradually used in diverse areas with an increasing market. What major notebook computer manufacturers concern mostly are two key factors—customized computer-design and immediate response to customer demands, which influence the competitiveness of a notebook computer brand. As a result, the build-to-order model is created. In fact, because of several restraints of the industry, BTO production of notebook computers is carried out with the usage of a "push-pull" mixed model. Therefore, the precision of the production plan is crucial to the operation of this model.Based on the research of a particular notebook computer manufacturer, this paper analyses the difficulties of formulating a proper production plan and several special considerations required to carry out the plan. The thesis also proposes to find out the relations between computer components from ERP orders module and PDM data of the company, by employing association rules data mining, in order to help relevant departments formulate the production plan. The main research work includes:1. Regarding the characteristics of the BTO production of notebook computers, this paper suggests improving the classic algorithm of association rules data mining—Apriori algorithm, with multi minimum supports, incremental renewal and heuristic grouping, to enhance the practicality in its implementation.2. This paper explains how to build the data warehouse, the ECTL processing and the user interface in designing and implementation of association rules data mining system.3. The effects of association rules data mining results to production planning are explained with examples. A method based on the Markov chain is proposed to predict the changes of computer configuration relations.