A new extension on job allocation with the aim of optimizing DCSs in industrial manufacturing environments

Cating jobs to resources is a main concept of distributed control systems. If we have a fair system to decision and job management, this concept will result in appropriate job allocation in manufacturing industrial environments. In retrospect, too many attempts have been made and enormous results achieved. Especially, distributed control systems (DCS) on the basis of parallel machines. In this regard Pigeon Hole Principle can be a proper tool in order to job allocation in DCSs. Besides, some of other works compared with considering job assigning aspect. Eventually, state-of-the-art extension algorithm named pigeon Hole principle will be presented for assigning jobs to machines in a distributed control systems for the whole the system. This paper presents new algorithms in order to devote job to appropriate machine this algorithm can be applied in particular when the industrial manufacturing system encounters unpredicted bottlenecks. So PHP can be expand and utilize for throughout the industrial manufacturing system (factory) whereby considering induction lemma.