| dc.description.abstract | As an integrated textile company agroindustry, PT. Unitex, Tbk has developed into one of the companies that successfully survive in the competitive global textile industries in the world. With the increasingly tight competition, require an industry to make the production process at an optimal and efficient. To achieve maximum production, each industry to do some planning of production. Aggregate production planning is the planning that is comprehensive and general. Planning will be conducted to provide a broad picture of the conditions that will come. Thus, in decision making can be determined is the best policy for the company in achieving the target and the efficiency of production. This study aims to identify the factors and issues that effect in aggregate production planning at PT. Unitex, Tbk., Make forecasts and forecasting demand for products to meet consumer needs, plan a schedule of aggregate production and optimal efficiency by considering the target to be achieved by the company. Planning is reviewed in this research are limited in the process of cloth production, the Yard Dyed and Piece dyed. Planning horizon for 12 periods (months). In the demand forecasts, the model used was the model ARIMA (Auto Regressive Integrated Moving Average), which was developed by Box Jenkins. In its processed with the program package Minitab 14. Results from the demand forecasts is the basis for the preparation of the production planning model. Aggregate production planning is done by considering the factors in the decision making of management company associated with the production capacity, product supply, the determination of regular working hours and overtime with the cost of production may be minimize. Determining the optimal level of efficiency as the settlement of aggregate production planning to use this method or model linier goal programming with the help of the program package LINDO (Linier discrete Interactive Optimizer). Policy management company set three priority objectives in the aggregate production planning, namely: (1) Level of production to meet the number of requests, (2) Production is not more than regular working hours are available, and (3) Production is not be in romance of overtime work hours are available. Planning is the result of the optimal planning that minimize distortions of the target to be achieved by the company in production. Appropriate model is used to model the demand forecasts ARIMA (1,0,1) with a total of 12.914.586 forecasts demand meters. Aggregate production planning results indicate that the amount of production in the regular working hours of 12.311.759 meters, so that production takes time in the overtime hours worked during the 309 hours and the amount of production on overtime working hours of 602.827 meters. The results of this plan required the total cost of production of up to Rp. 134.828.277.840,00. | id |
