Abstract:
This study focuses on the production planning of a case study of engineered wood floor factory. According to the data collected, the case study factory has a numerous finished parts in inventory, which could not be packed into boxes. This is because of complex packing constraints and also the inefficiency method of part requirement planning. The present method is based on empirical experiences and skills of the planner. This study therefore proposed a part requirement planning model under the packing constraints. The objective of this study aims to reduce the number of finished parts in the inventory. It applies the method of one dimensional cutting stock problem and linear programming to develop the model that meets the packing constraints e.g. standard-size of the box, average length of pieces, maximum pieces in
a row, number of rows and stacks per box, etc. The results of this study show that the developed model can reduce the number of finished parts down to 52 percents In other words, the number of finished parts is reduced from 41,845 pieces to 17,441 pieces. In addition, it also reduces the planning duration down to 98 percents by average.