Abstract
New architectures of manufacturing systems have been proposed aiming at realizing more flexible control structures of manufacturing systems, which can cope with dynamic changes in volume and variety of products. They are so called as autonomous manufacturing system like random manufacturing system, biological manufacturing system and holonic manufacturing system. The purpose of the present research is to develop an integrated process planning and scheduling system, which is applicable to the holonic manufacturing systems. A systematic method is proposed to select suitable machining sequences and sequences of machining equipment for optimal time and cost objectives, by applying a combined method of genetic algorithm (GA) and dynamic programming (DP).
