Using Of Distributed And Parallel Computing (DPAC) In The Manufacturing Control

Parallel and distributed computing infrastructure is increasingly being embraced in the context of manufacturing applications, including real-time scheduling. The paper present the design and implementation of one such framework than can work on the Internet, with applications in automation (manufacturing). The architecture of distributed and parallel computing framework (DPAC) has the goal of harnessing the Internet´s vast, growing computational capacity for ultra-large, coarse-grained parallel applications. DPAC idea is to bring together diverse, heterogeneous, geographically distributed computing environments in order to attack large-scale computing problems. In paper is describe an implementation and present case studies showing the effectiveness in solving complex combinatorial optimization problems in the context of manufacturing systems.