Implementing MRP (Material Requirement Planning) for Managing Raw Material Inventory in an Indonesian Plastic Blown Film Company

Abstract:

The inventory costs of raw materials and finished goods for manufacturing companies can reach half of the company's assets. Proficient inventory management is needed to accelerate the production process and prevent overstocking or stock-outs. Raw material inventory planning at the company often experiences overstock of raw materials, which results in material damage and also increases operational storage costs. Therefore, this study aims to implement material requirement planning (MRP) in managing raw material inventories. The Min-Max, Reorder Point (ROP), and Economy Order Quantity (EOQ) methods are used in this research. These three methods are implemented on item code CLKG-15000294 from the PT Sidoraya Utama (PT.SRU) order. The result indicates that the most suitable methods to be implemented according to company conditions are Min-Max and Reorder Point (ROP). The Min-Max method is applied to determine the minimum stock of raw materials, the maximum stock of raw materials, and also the quantity that must be ordered. Meanwhile, the Reorder Point (ROP) method is used as a benchmark for repurchasing after reaching that point. Moreover, the study results also showed that the Min-Max method saved the cost of purchasing PE 1 raw materials by 76.97%, PE 2 raw materials by 64.96%, and PE 3 raw materials by 64.03%.

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97-108

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February 2026

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[1] Information on http://kemenperin.go.id.

Google Scholar

[2] C.T. Soares, M. Ek, E.Östmark, M. Gallstedt, S. Karlsson, Recycling of multi-material multilayer plastic packaging: Current trends and future scenarios, Resour. Conserv. Recycl. 176 (2022) 1-10.

DOI: 10.1016/j.resconrec.2021.105905

Google Scholar

[3] R. Sulistyoningrum, C.N. Rosyidi, T.Rochman, Supplier Selection and Order Allocation of Recycled Plastic Materials: A Case Study in a Plastic Manufacturing Company, Int. J. Inf. Manage. Sci. 31 (2020) 315-330.

Google Scholar

[4] D.W. Fogarty, J.H. Blackstone Jr., T.R. Hoffman, Production and Inventory Management, second ed., South Western Publishing, Cincinnati, 1991.

Google Scholar

[5] J.A. Orlicky, Material Requirement Planning: The New Way of Life in Production and Inventory Management, McGraw-Hill, New York, 1974.

Google Scholar

[6] R. Miclo, M. Lauras, F. Fontanilli, J. Lamothe, S.A. Melnyk, Demand driven MRP: assessment of a new approach to materials management, Int. J. Prod. Res. 57 (2019) 166-181.

DOI: 10.1080/00207543.2018.1464230

Google Scholar

[7] J. Olhager, Evolution of operations planning and control: from production to supply chains, Int. J. Prod. Res. 51 (2013) 6836-6843.

DOI: 10.1080/00207543.2012.761363

Google Scholar

[8] T. Ohno, Toyota Production System: Beyond Large-scale Production, CRC Press, Florida, 1988.

Google Scholar

[9] H. ElMaraghy, L. Monostori, G. Schuh, W. ElMaraghy, Evolution and future of manufacturing systems, CIRP Annals - Manufacturing Technology 70 (2021) 635-658

DOI: 10.1016/j.cirp.2021.05.008

Google Scholar

[10] L. Abuhilal, G. Rabadi, A. Sousa-Poza, Supply Chain Inventory Control: A Comparison Among JIT, MRP, and MRP With Information Sharing Using Simulation, Engineering Management Journal 18 (2006) 51-57.

DOI: 10.1080/10429247.2006.11431694

Google Scholar

[11] M. Battesini, C.S. Caten, D.A. Pacheco, Key factors for operational performance in manufacturing systems: Conceptual model, systematic literature review and implications, .J Manuf. Syst. 60 (2021) 265–282.

DOI: 10.1016/j.jmsy.2021.06.005

Google Scholar

[12] M. Gupta, D. Snyder, Comparing TOC with MRP and JIT: a literature review, Int. J. Prod. Res. 47 (2009) 3705–3739.

DOI: 10.1080/00207540701636322

Google Scholar

[13] M. Thürer, M. Stevenson, C. Silva, T. Qu, Drum buffer rope and workload control in High-variety flow and job shops with bottlenecks: An assessment by simulation, Int. J. Prod. Econ. 188 (2017): 116-127.

DOI: 10.1016/j.ijpe.2017.03.025

Google Scholar

[14] T. Rossi, R. Pozzi, M. Pero, R. Cigolini, Improving production planning through finite-capacity MRP, Int. J. Prod. Res. 55 (2016): 377-391.

DOI: 10.1080/00207543.2016.1177235

Google Scholar

[15] P.U. Hartoyo, N.I. Arvitrida, Design and Implementation Of MRP-JIT Hybrid System Under Demand Uncertainty, 10th International Conference on Operations and Supply Chain Management, (2020) 1-12.

Google Scholar

[16] S. Chandra, L. Gozali, A. Tjhia, F.J. Daywin, Production Planning and Control Industry 4.0 on Plastic Bottles with the Blow Moulding Process (case study PT. Peace Industrial Packaging), Proceedings of the Second Asia Pacific International Conference on Industrial Engineering and Operations Management (2021).

DOI: 10.46254/an11.20210458

Google Scholar

[17] P. Phrikthim, P.S. O-Ran, P. Jamnarnwej, The Design and Implementation of Material Requirement Planning: A Case Study of the Plastic Company, Int. Sci. J. of Eng. Tech., 8 (2024) 62-74.

Google Scholar

[18] Relph, G., Newton, M. Both Pareto and EOQ have limitations combining them delivers a powerful management tool for MRP and beyond, Int. J. Prod. Econ. 157 (2014): 377-391.

DOI: 10.1016/j.ijpe.2014.04.015

Google Scholar

[19] Asana, I.; Radhitya, M.L.; Widiartha, K.K.; Santika, P.P.; Wiguna, I. Inventory control using ABC and min-max analysis on retail management information system. J. Phys. Conf. Ser. (2020), 1469, 012097.

DOI: 10.1088/1742-6596/1469/1/012097

Google Scholar

[20] Cahyani, C., Kartika, W. Pengendalian persediaan Minimum dan Maksimum Untuk Maintenance, repair dan Operation Stock. Prosiding Seminar nasional Manajemen Industri dan Rantai Pasok. 1(1) (2020): 230-237.

DOI: 10.53026/sntem.v2i1.721

Google Scholar

[21] Malindzakova, M. Garaj, P. Trpˇcevská, P. Malindzak, D. Setting MRP Parameters and Optimizing the Production Planning Process. Processes 2022, 10, 690.

DOI: 10.3390/pr10040690

Google Scholar