CASE STUDY OF THE OPTIMIZING THE AUTOMOTIVE MANUFACTURING SYSTEMS EFFICIENCY VIA APPLYING NEW METHOD OF SCHEDULING

Abstract

Efficiency is becoming a pivotal aspect in each man ufacturing system and scheduling plays a crucial ro le in sustaining it. The applicability of distributed com puting to coordinate and execute jobs has been investigated in the past literature. Moreover, it i s significant that even for sensitive industrial sy stems the only criterion of allocating jobs to appropriate ma chines is the FIFO policy. On the other flip, many researchers are of the opinion that the main reason behind failing to provide fairness in distributed systems is considering the only criterion of time stamp to judge upon and form the queue of jobs with the aim of allocating those jobs to the machines. In order to increase the efficiency of sensitive industrial sys tem, this study takes into consideration of three criteria of each job including priority, time action and time stamp. The methodology adopted by this study is definition of job scheduler and positioning jobs in temporary queue and sorting via developing bubble sort. In so rting algorithm criterion of priority, time action should be considered besides time stamp to recognize the t ense jobs for processing earlier. To evaluate this algorithm first a numerical test case (simulation) is programmed and then the case study performing in order to optimize efficiency of applying this method in r eal manufacturing system. Eventually the results of this study provided evidence on that the rate of efficie ncy is increased.