IMPLEMENTATION LEARNING AND FORGETTING CURVE TO PREDICT NEEDS AND DECREASE OF LABORS PERFORMANCE AFTER BREAK
DOI:
https://doi.org/10.11113/jt.v77.6909Keywords:
Learning Curve (LC), Forgetting Curve(FC), Predicting, SchedulingAbstract
A company needs to implement production planning to minimize time and cost. Forecasting and scheduling are two methods which should be conducted in production planning. By implementing the learning and forgetting curve methods, the labor needs as well as the decrease of labors performance after break can be predicted. Firstly, various learning curve models are presented, then each model was analyzed one by one so that the model with the smallest error rate could be determined. A case study conducted in the learning curve model is presented with data derived from the production floor. The four main purposes of this study were to calculate the percentage of each station learning curve, learning and forgetting curves in the company, minimum initial cost, and predict the number of employees needed for the lowest in the number of the work station company. The results in the percentage achieved for the learning curve is 91.47%, the gluing station 78.46%, variation sewing station 98.10%, thumb sewing station 88.17%, omo connect sewing station 89.65%, machine sewing station 87.33%, omo folding sewing station 85.42, rubber tide sewing station 92.51%, sewing station tide studs 72.37%, omo tape sewing station 61.74%, and vilcro sewing station 75.89%, respectively. By analyzing the percentage of each station learning curve, a comparison between the highest and lowest percentage learning curve on the company was made. Thus, it is known that omo tape sewing station needs another operator as the additional labor. The percentage of the forgetting curve is 91.59%. Through a search conducted on the cumulative hours of the productive company, the initial cost of production can be minimized to 15.600 Indonesian rupiah.
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