원문정보
보안공학연구지원센터(IJUNESST)
International Journal of u- and e- Service, Science and Technology
Vol.6 No.4
2013.08
pp.219-228
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
In mass customization environment, how to quickly meet customer's demands by cluster order demand was proposed in this paper. The customer demand model was established using handling the mass customer orders. In order to improve the efficiency of the configuration, the product family model was established based on the composition of custom module and universal module. By extracting the attributes of product family and demand characteristics of customer orders, the match relationship between order needs and product family was created by similarity, and product configuration program was obtained. Finally, an example of a reducer is presented to verify the feasibility of the proposed method.
목차
Abstract
1. Introduction
2. Handling the Mass Customer Orders
2.1. Fuzzy Clustering of Customer Order Demands
2.2. Fuzzy Transform of Customer Orders
2.3. Calculate the Satisfy of Customer Order
2.4. Customer Order Model
3. Modular Product Family Model
3.1. Product Family Model
3.2. Product Family Physical Model
3.3. Modular Product Family Model
4. Matching Customer Order Demand and Product Family
4.1. Extracting Product Family Property and Order Demand Feature
4.2. Determining Product Family based on Property Similarity
4.3. Modular Product Family Configuration
5. Reducer Product Configuration Example
5.1. Matching Product Family
5.2. Module Instantiation
6. Conclusion
Acknowledgments
References
1. Introduction
2. Handling the Mass Customer Orders
2.1. Fuzzy Clustering of Customer Order Demands
2.2. Fuzzy Transform of Customer Orders
2.3. Calculate the Satisfy of Customer Order
2.4. Customer Order Model
3. Modular Product Family Model
3.1. Product Family Model
3.2. Product Family Physical Model
3.3. Modular Product Family Model
4. Matching Customer Order Demand and Product Family
4.1. Extracting Product Family Property and Order Demand Feature
4.2. Determining Product Family based on Property Similarity
4.3. Modular Product Family Configuration
5. Reducer Product Configuration Example
5.1. Matching Product Family
5.2. Module Instantiation
6. Conclusion
Acknowledgments
References
저자정보
참고문헌
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