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Journal : Industrial and Systems Engineering Assessment Journal (INASEA)

OPTIMASI PROSES PRODUKSI UNTUK PRODUK MAKANAN DENGAN METODE INTEGER LINEAR PROGRAMMING (ILP) PADA PT PSA Abbas, Bahtiar S.; Indriani, Wiwi
Industrial and Systems Engineering Assessment Journal (INASEA) Vol 11, No 1 (2010): INASEA Vol. 11 No. 1
Publisher : Industrial and Systems Engineering Assessment Journal (INASEA)

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Abstract

PT PSA in its 16 months of operations do not have a structured production planning, beside that material planning and management is conducted based on intuition. Based on these conditions, this study aims to create a global production image to maximize profit, and material planning and management for the June 2008 period. The integer linear programming method is used due to the integer unit characteristics of the final product; thereby the optimization results should also be in in integer. The optimum results from the profit maximization problem is Rp 968,184,500.00 derived from production of 11058 balado crisps boxes, 19455 cheese crisps boxes, 16636 pea boxes and 13166 pilus boxes. From the profit maximization problem results, it is concluded that the resource capacity of PT PSA is enough to fulfill production plan for the June 2009 period.
PENJADWALAN PREVENTIVE MAINTENANCE MESIN B.FLUTE PADA PT AMW Abbas, Bahtiar S.; Steven, Edi; Christian, Harry; Sumanto, Tedy
Industrial and Systems Engineering Assessment Journal (INASEA) Vol 10, No 2 (2009): INASEA Vol. 10 No. 2
Publisher : Industrial and Systems Engineering Assessment Journal (INASEA)

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Abstract

PT Adina Multi Wahana has a lot of machine used in the production process therefore the maintenance process must be well scheduled and does not hinder or obstruct the existing production process schedule. The current frequency of machine breakdown is quite high and the repair time is quite high. Focus of this research is to decrease machine breakdown in order not to hinder the production process and impede the production schedule. Therefore it is recommended to implement preventive maintenance scheduling using the Age Replacement method in the company. Component replacement schedule is conducted based on 3 replacement time scenarios, namely: optimal time scenario, 60 hours replacement scenario, and 120 hours replacement scenario. The calculated results show that the monthly expenses will amount to Rp 87,554,392.60 for optimal time scenario, Rp 91,637,427.45 for 60 hours replacement scenario, and Rp 75,294,381.50 for 120 hours replacement scenario.