PT Kurabo Manunggal Textile Industries (PT. KUMATEX) is a company that produces half- finished woven fabric or Gray fabric. During the production process, this company implements an Engineering to Order production scheme in which the company accepts orders of fabric that have not been produced before, thus they need to fulfill the order as a new order. This fabric ordering scheme consists of continuous order, repeat order and new order. In order to convince the consumers that the company is able to produce the desired fabric, firstly, the company must produce the tester fabric. The time when the tester fabric must be produced is not exactly known; hence a perfect task for weaving machine is needed. The machines in this company do not have a fix task, therefore, this situation results in tardiness for fulfilling the order from consumers. This study aims to do the work task on the weaving machine by using a modification Hungarian method and analyze the result of the weaving machine task that has been done. The weaving machine work task is performed twice to achieve the optimal work task machine by using a modification of the Hungarian method I and II. On the tasks using the I and II method, the task uses the function to maximize the number of pieces of fabric each week and to minimize the tardiness. Second method emphasizes the need for the additional of the machine in order to avoid tardiness. Besides, some modifications are done to do the work task by using the first method, if it has not been optimal yet, the work task is repaired by using the II assignment for better result. The result of work task I method in May 2015 found that 17% machine out of 48 machine that were assigned, delayed, and then the task performed to optimize work machine with II method. So, in May 2015 there were no delayed machines. Work task for weaving machine using the I method assigned all machines in May 2015 and 30 machines in June 2015, while the task by using the II method assigned all machines in May 2015 and 28 machines in June 2015. |