The effect of automatic identification on developing lean manufacturing

The main objective is eliminate manufacturing wastes to reduce manufacturingcosts, increase productivity and increase data transfer with adopting LEANphilosophy and tracing the production line using automatic identification (AIDC).The LEAN principles eliminate wastes such as operations and processes wasteswhether waste in time, waste in machine loading or waste in logistics, the automaticidentification and data capture (AIDC) is a technology reduces the recording dataerrors. The main methodologies used in achieving LEAN are KANBAN, ConstantWork in Process (CONWIP) and Hybrid model.The Make span is a LEAN prerequisite used to reduce the waste in time such asidle time in the production schedule by 10% and increase the machine utilization.These merits occurred by applying the proposed rule named idle time priority factor(ITPF), this rule depends on the network-based schedule of jobs with precedenceconstraints.The wastes that occur due to intra-cell movement of parts and logistics when thesystem is very heavily utilized are eliminated by applying cellular manufacturing(CM) and cellular manufacturing layout (CML) designs. The manufacturing costs arereduced by integrating LEAN philosophy and (AIDC) by 35%.