Browsing by Author "Mu-Chen Chen"

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A data mining approach to product assortment and shelf space allocation
(2007-05-01)
Mu-Chen Chen
;
Chia-Ping Lin
;
運輸與物流管理系註：原交通所+運管所
;
Department of Transportation and Logistics Management
In retailing, a variety of products compete to be displayed in the limited shelf space since it has a significant effect on demands. To affect customers' purchasing decisions, retailers properly make decisions about which products to display (product assortment) and how much shelf space to allocate the stocked products (shelf space allocation). In the previous studies, researchers usually employed the space elasticity to optimize product assortment and space allocation models. The space elasticity is usually used to construct the relationship between shelf space and product demand. However, the large number of parameters requiring to estimate and the he non-linear nature of space elasticity can reduce the efficacy of the space elasticity based models. This paper utilizes a popular data mining approach, association rule mining, instead of space elasticity to resolve the product assortment and allocation problems in retailing. In this paper, the multi-level association rule mining is applied to explore the relationships between products as well as between product categories. Because association rules are obtained by directly analyzing the transaction database, they can generate more reliable information to shelf space management. (C) 2006 Elsevier Ltd. All rights reserved.
A web services based collaborative management framework for semiconductor equipment
(2006)
Mu-Chen Chen
;
Kai-Ying Chen
;
Ming-Fu Hsu
;
Cheng-Tah Yeh
;
運輸與物流管理系註：原交通所+運管所
Web Services have afforded inter-enterprise information technologies to integrate heterogeneous systems in the e-manufacturing environment along the supply chain. In a semiconductor foundry, the equipment failure has long been recognized as a major source of unpredicted production process breakdown and excessive production loss. Equipment maintenance management is one of the important tasks in semiconductor manufacturing. Due to the prosperity of Internet and information technologies, e-diagnostics and c-maintenance through Internet have been considered as important applications in industry. Web Services can asist the data integration in heterogeneous e-manufacturing systems to support faster and remote maintenance functions. In this paper, a Web Services based Collaborative Planning, Forecasting and Replenishment (CPFR) platform, namely WS-CPFR, is developed to collaboratively manage spare parts in semiconductor equipment between equipment suppliers and semiconductor factories. The global application involving multi-factory and multi-supplier of this WS -CPFR platform can be easily achieved with Web Services technology.