DEVELOPMENT OF A SIMULATION SOFTWARE FOR MACHINE ADDITION PLANNING IN A JOB-SHOP ENVIRONMENT

• Main Author: Zainal Arif (NIM : 13500010), Endang
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/7796
• Institution: Institut Teknologi Bandung

Abstract: <br /> <br /> <br /> <br /> <br /> <br /> Simulation is an approach to predicting some result by imitating the real system. The imitation, known as model, is then executed in a computer. The result we obtain from <br /> <br /> <br /> <br /> <br /> <br /> a simulation is just an estimation. Simulation with a good model that is representative enough to the real system, however, will give us a good estimation. <br /> <br /> <br /> <br /> <br /> <br /> In this final project, simulation will be applied to a resources (machines) planning in a typical manufacture environment, known as job-shop environment. In a job-shop <br /> <br /> <br /> <br /> <br /> <br /> environment there are some stations that serve the task of each job that come to them. <br /> <br /> <br /> <br /> <br /> <br /> The more jobs come to a station, the higher 3 measures related to that station will be. The 3 measures are average number of jobs waiting to be served by the machine <br /> <br /> <br /> <br /> <br /> <br /> (average number), average utilization of a machine (average utilization), and average delay of jobs queuing in that machine (average delay). The station with the highest value of this measure will need additional machine the worst. By a simulation execution, the location of a machine with the highest measure can predicted. The result of this final project is a software application that uses the above idea to make a machines addition planning. The plan adds to each station some new <br /> <br /> <br /> <br /> <br /> <br /> machines, so that the new machine configuration is expected to be the most optimal. The optimal system is the one with the overall system delays reduced the most. <br /> <br /> <br /> <br /> <br /> <br /> At the end of this final project, it can be concluded that the configuration of a new job-shop machine obtained by simulation using one of the 3 measures will give a <br /> <br /> <br /> <br /> <br /> <br /> more optimal system than the one obtained using a straight forward way, in which new machines is added with an equal number to every stations.