PERANCANGAN METODE PENJADWALAN PADA AREA MOLD PRESS VULCANIZING UNTUK MEMINIMALKAN TARDINESS

• Main Author: Wafiq Azizah, Isna
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/79943
• Institution: Institut Teknologi Bandung

The research object company under research is a manufacturing company engaged in the natural rubber industry located in Bandung City, West Java. Based on the flow of the production process, there is one department location that applies the flexible Job shop concept with the Make to Order (MTO) manufacturing system. This can be seen in the many uses of similar Press machines despite having different specifications (flexibility process) used by the research object company. The problem faced by the company at this time is the inability of the company to meet the due date that has been agreed between marketing and consumers. This is due to the use of scheduling which is still based on the intuition of production supervision and PPIC supervision. During the last 10 months from July 2022 to April 2023, there was a delay in orders above 50% and the biggest occurred in April 2023 at 85.71%. This research aims to determine and design a flexible Job shop analytical scheduling model that is able to minimize Tardiness in accordance with the characteristics of the research object company. The reference analytical model used in this research is a mathematical model that has been developed by Roshanaei (2012). This model will be readjusted to fit the requested objective function and produce decision variables to determine the selected machine to perform the operation of a particular Job, the start and finish time of each Job, and the total tardiness value. The inputs required to complete are operation routing data, processing time, and due date for each Job. This computation is assisted by using GUROBI software which begins by testing the proposed model using historical data from the company during the scheduling period of April 15, 17, 18, and 19, 2023. The results of this test succeeded in reducing tardiness by 34.5 hours or 76.029%. After comparison with the existing model owned by the company, the proposed model provides better results.