Pendekatan Linear Programming Untuk Persoalan Pemotongan Stok (Pola Pemotongan Satu Dimensi)

In this study, one-dimensional cutting pattern is discussed. This includes fulfilling demands for some items with different lengths by cutting some stocks of standard length available. In this problem, the patterns – the way the standard length is cut – is obtained in such an optimal ways that the trim loss becomes as minimum as possible. The decision variables are the amount of the standard lengths cut according to certain patterns. Then the problem is formulated into a linear programming model. Due to very large number of the variables and restriction to integers, the problem is the type of large scale linear integer programming. For simplicity, restriction to integer is dropped. Then the very large number of the variables is handled by considering only the favorable cutting patterns; list of all possibleways in which a standard stock may be cut is not needed. The favorable cutting pattern is then generated by using column generation technique by solving auxiliary problem in the form of a knapsack problem. The integer optimal solution is obtained by rounding it upwar

WORKLOAD ANALYSIS TO DETERMINE THE NUMBER OF LABOR IN SOAP PRODUCTION USING THE FULL TIME EQUIVALENT METHOD: A CASE STUDY OF PT. XY

PT. XY is a manufacturing company in Surabaya that produces household hygienic goods, such as soap bars and liquid soap. It is known that the actual condition of production in the company is still not optimal due to the uneven workload at each work station. This also results in workers experiencing excessive workloads that cause fatigue or illness, and there are more unemployed, causing decreased performance. According to the problems above, this research was conducted to determine the value of the workload received and to find out the optimal number of workers so that in the future work can be more effective and efficient. Solving workload analysis problems in this study using the Full Time Equivalent method. Based on the results of the study, it was known that the workload of the bar soap production section was 16 people, 3 people were found in the Normal category and 13 people experienced the workload in the Overload category. While the results of the workload of the liquid soap production section were 19 people, 6 people were found in the Normal category and 13 people experienced a workload in the Underload category. For calculating the optimal number of workers, the results obtained for the production of bar soap need to add 7 people to the workforce and liquid soap production to reduce the workforce by 3 people