GA‐driven part e‐manufacturing scheduling via an online e‐service platform

Abstract

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 systems and 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.