DE NOVO Programming Method Application for Production Planning

Abstract:

This study aims to determine the most optimal forecasting method and the right combination of products that can be produced by PT. SAJA the manufacturer of textile cushions and bolsters. In determining the combination product is used method of de novo programming, with the objective function maximization four decision variables of dacron pillow, dacron bolsters, microfill pillow, and microfill bolsters, and four limit model of primary like number of available hours, raw materials, total cost raw materials, and fluctuations in demand. Results showed forecasting method most appropriate is Multiplicative Decomposition (Seasonal) method: basic for smoothing: average for all data, predicted demand period of March 2015 are 2.335 dacron pillow, 2.027 dacron bolsters, 1.274 microfill pillow, and 700 microfill bolsters. Meanwhile, the optimal products combination should be produced in March 2015 period is 2,335 dacron pillows, 2,027 dacron bolsters, 1090 microfill pillow and 700 microfill bolsters.