Reduction of production using dynamic work sequencing shared with buffer optimization applying genetic procedure in a manufacturing system

Abstract

With the development of computer knowledge and its incorporation with the manufacture system, the production system has become highly flexible to produce large family of goods. One of the main aims of flexibility is to reduce the setup cost and time to respond to the market demands. Even the most flexible system may summon some setup cost in job changes; it is often desirable to change the sequence of jobs to further reduction in the setup cost and its related time. In this work, the effect of dynamic work sequencing on a diverging junction conveyor production line with the objective to save the manufacture cost & time have been presented. A production line which produces different variety of jobs is considered, where the raw part of different jobs arrives from the source randomly. Each batch of job has to undergo dissimilar processing operations. A production line is modelled and simulated using various production essentials and its influence on reducing the manufacturing time is presented. The object oriented, discrete event simulation software is used to model and simulate the production system. It has been observed that dynamic sequencing of the jobs reduces the processing time by an average of 17%.