Analysis of Inventory Control by Using Economic Order Quantity Model – A Case Study in PT Semen Padang

Prima Fithri    (Universitas Andalas - Indonesia)
Alizar Hasan (Universitas Andalas - Indonesia)
Fadhita Maisa Asri (Universitas Andalas - Indonesia)

 ) Corresponding Author
Copyright (c) 2019 Prima Fithri, Alizar Hasan, Fadhita Maisa Asri
Inventory control is a very important issue. It is because the amount of inventory will determine or affect the smoothness of the production process as well as the effectiveness and efficiency of the company. PT Semen Padang is a manufacturing company that produces 10,400,000 tons of cement per year. The achievement of the cement production target at this company depends on the availability of raw materials needed in the cement production process itself. Gypsum is an additional material of the cement production process which is very important because it is a raw material that must exist in the process of making cement. So, if the inventory of gypsum cannot meet the needs of production, then the production process of cement making will be disrupted. PT Semen Padang is using the Min-Max method for inventory control. But the costs are quite high. The cost of inventory can be minimized by using another method such as EOQ (Economic Order Quantity). The conclusions of this research are in 2016 by using EOQ method, the optimal order quantity is 32,073 ton per order, and the frequency is 9 times in a year with total cost Rp. 4,757,673,813.48, and in 2017, the optimal order quantity is 34,856 tons per order and the frequency is 9 times in a year with total cost Rp. 9,694,805,608.36.
PT. Semen Padang, inventory control; EOQ; cement; Bulk Material Gypsum
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[1] E. M. B. Aske and S. Skogestad, “Consistent inventory control,” Industrial & Engineering Chemical Research, vol. 48, no. 24, pp. 10892–10902, 2009.

[2] S. Ziukov, “A literature review on models of inventory management under uncertainty,” Business System and Economics, vol. 5(1), pp. 26-35, 2015.

[3] D. O. N.G. Hai, Z. H. E. N. G. Hao and L. Y. Ping, “Model predictive control for inventory management in supply chain planning,” Procedia Engineering, vol. 15, pp. 1154-1159, 2011.

[4] R. Chaib, M. L. Bouanaka, A. Bellaouar, M. Benidir, and I. Verzea, “Determination of the efficiency of a means of production application in a chain of production,” Management of Technological Changes, vol. 1, pp. 605–608, 2009.

[5] A. Bacchetti, R. Plebani, N. Saccani, and A. Syntetos, “Spare Parts Classification and Inventory Management: a Case Study,” Salford Business School Working Papers Series, vol. 408, 2010.

[6] G. A. Keskin, S. I. Omurca, N. Aydin, and E. Ekinci, “A comparative study of production-inventory model for determining effective production quantity and safety stock level,” Applied Mathematical Modelling, vol. 39(20), pp. 6359-6374.2015.

[7] D. K. Chester, A. M. Duncan, and C. J. L. Dibben, “The importance of religion in shaping volcanic risk perception in Italy, with special reference to Vesuvius and Etna,” Journal of Volcanology Geothermal Research., vol. 172(3–4), pp. 216–228, 2008.

[8] M. Godichaud and L. Amodeo, “Economic order quantity for multistage disassembly systems,” International Journal of Production Economics, vol. 199, pp. 16–25, 2018.

[9] R. Kumar, “Economic Order Quantity (EOQ) Model,” Global Journal of Finance and Economic Management, vol. 5, no. 1, pp. 2249–3158, 2016.

[10] L. B. Schwarz, “The economic order-quantity (EOQ) model,” International Series in Operations Research and Management Science, vol. 115, 2008, pp. 135–154.

[11] K. C. Land, “Forecasting,” in International Encyclopedia of the Social & Behavioral Sciences: Second Edition, 2015.

[12] S. J. Taylor and B. Letham, “Forecasting at Scale,” The American Statistician, vol. 72(1), pp. 37-45, 2018.

[13] C. C. Defee, B. Williams, W. S. Randall, and R. Thomas, “An inventory of theory in logistics and SCM research,” The International Journal of Logistics Management, vol. 21(3), pp. 404-489, 2010.

[14] S. E. Sampson and M. Spring, “Customer Roles in Service Supply Chains and Opportunities for Innovation,” Journal of Supply Chain Management, vol. 48(4), pp. 30-50, 2012.

[15] E. Van Der Laan, M. Salomon, R. Dekker, and L. Van Wassenhove, “Inventory control in hybrid systems with remanufacturing,” Management Science, vol. 45(5), pp. 733-747, 1999.

[16] J. S. Morris and R. J. Tersine, “A simulation comparison of process and cellular layouts in a dual resource constrained environment,” Computers & Industrial Engineering, vol. 26(4), pp. 733-741, 1994.

[17] F. Lestari, Ulfah, Suherman, B. Azwar, and P. Fithri, “Combining ABC and VED analysis for managing medicine inventory (case study at community development elderly in Indonesia),” International Journal on Advanced Science Engineering Information and Technology, vol. 9(3), 2019.

[18] S. Assauri, Manajemen Produksi dan Operasi. Jakarta: Lembaga Penerbit Fakultas Ekonomi Universitas Indonesia, 2008.


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