Assembly Sequence Planning Using Neural Network Approach

The competition between manufacturing firm’s makes it necessary that those firms must supply highly quality goods with shorter time and chipper for survive in the international market. The intensive research in this field aims at augmenting methods and tools for product development and manufacturing. By the use of new and efficient methods it is possible to shorten the time from design to manufacturing and reduce the mistakes originating from humans. Therefore, full automation in the manufacturing processes can be accomplished. An assembly can be defined as the overall function of individual parts after joining each other’s, each of which has an independent function. It is possible to divide an assembly into various subassemblies depending on its complexity levels (Pahl & Beitz, 1988). Although intensive research efforts in the field of assembly sequence planning, there are still some problems to be solved. For example, there exist some shortcomings to support for full automatic assembly sequence planning or to obtain assembly plans for large systems (Singh, 1997).