TY  - JOUR
AB  - This paper is mainly concerned with studying the e‐manufacturing scheduling issue based on the bills of materials (BOM) flows of products. On the basis of e‐manufacturing philosophy, a genetic algorithm (GA)‐based scheduling model for physical e‐manufacturing cells is put forward. By means of building the mapping relationship and dynamic task association among physical e‐manufacturing cells,logic e‐manufacturing cells, e‐manufacturing systemsand e‐manufacturing environment, high‐level scheduling issues can be transformed as an inductive procedure concerning the scheduling results to corresponding physical e‐manufacturing cells. As verification, finally, a case study is given to demonstrate the method mentioned above.
VL  - 14
IS  - 7
SN  - 0957-6061
DO  - 10.1108/09576060310491937
UR  - https://doi.org/10.1108/09576060310491937
AU  - Zhang Yingfeng
AU  - Jiang Pingyu
AU  - Zhou Guanghui
PY  - 2003
Y1  - 2003/01/01
TI  - GA‐driven part e‐manufacturing scheduling via an online e‐service platform
T2  - Integrated Manufacturing Systems
PB  - MCB UP Ltd
SP  - 575
EP  - 585
Y2  - 2024/04/24
ER  -