Implementation of Continuous Review System Method, Periodic Review System Method and Min-Max Method for Cheese Powder Inventory (Case Study: PT. Mayora IndahTBK)

International Journal of Industrial Engineering

© 2020 by SSRG - IJIE Journal

Volume 7 Issue 2

Year of Publication : 2020

Authors : Muhammad Kholil, Jakfat Haekal, Indra Almahdi, Prof Sualiman Bin Hj. Hasan

10.14445/23499362/IJIE-V7I2P104

How to Cite?

Muhammad Kholil, Jakfat Haekal, Indra Almahdi, Prof Sualiman Bin Hj. Hasan, "Implementation of Continuous Review System Method, Periodic Review System Method and Min-Max Method for Cheese Powder Inventory (Case Study: PT. Mayora IndahTBK)," SSRG International Journal of Industrial Engineering, vol. 7,  no. 2, pp. 17-22, 2020. Crossref, https://doi.org/10.14445/23499362/IJIE-V7I2P104

Abstract:

PT. Mayora Indah, Tbk is a company engaged in manufacturing food and beverage production. This company is located on Jalan Daan Mogot Km. 18 Jakarta-Indonesia. The large demand made PT. Mayora Indah, Tbk requires good inventory control planning. The cheese powder material is an important material for the continuity of the production process of making cheese wafers. Cheese powder in the form of powder/powder used as raw
material to produce cheese wafer products.
The problem that often occurs in this company is the discrepancy between the level of purchase of cheese powder material with the level of use being carried out. This excess material will result in a large total inventory cost to be incurred by the company. This will lead to high inventory on hand which will lead to suboptimal storage costs and leads to high message costs. Following is the cheese powder material data. Therefore, as a developing company, we need control of raw materials that can ensure the continuity of the production process. By seeing the importance of controlling raw materials in the production process, through this research it is expected to be able to control the supply of raw materials as needed by considering the lead time. Based on the results of data processing that have been done Method Q produces a total inventory cost of Rp. 478,552,240, - with an efficiency of 82%, Method P produces a total inventory cost of Rp. 616,338,720, - with an efficiency of 77% and the Min-Max Method produces
a total inventory cost of Rp. 586,650,000, - with an efficiency of 78% the comparison with the minimum total cost criteria, the Q Method is obtained as the method that produces the most optimal level of inventory with the smallest total cost of Rp. 478,552,240, - with an efficiency of 82% of the total
inventory costs incurred by the company.

Keywords:

Class Based Storage Method, New Storage Layout, Displacement, Delivering Goods

References:

[1] Ahyari, A, “Manajemen Produksi”, Edisi keempat. Yogyakarta: BPFE, 2002.
[2] Almahdy, I. And Bayuboro, J.,”Sistem Persediaan Material Lokal Produsen Ice Cream dengan Metode Replenishment”, Jurnal PASTI Universitas Mercu Buana, Vol 4(1), 167-171, (2010)
[3] Aminudin,” Prinsip-prinsip Riset Operasi”, Jakarta: PT. Gelora Aksara Pratama, 2005.
[4] Asrori, H, “ Analisis Pengendalian Persediaan Bahan Baku Kayu Sengon PT. Abhirama Kresna Dengan Metode EOQ”, Surakarta : Fakultas Ekonomi Universitas Sebelas Maret, 2010.
[5] Assauri, S,”Manajemen Produksi dan Operasi”’Edisi Revisi. Jakarta: Fakultas Ekonomi Universitas Indonesia, 2004.
[6] Baroto, T,” Perencanaan dan pengendalian produksi”, Jakarta: Ghalia Indonesia, 2002.
[7] Bedworth, D.D and Bailey, J.E,”Integrated Production Control System Management, Analysis, Design”, New York: John Wiley and Son, Inc, 1982.
[8] Gaspersz, Vincent, “Sistem Manajemen Kinerja Terintegrasi Balanced Scorecard dengan Malcolm Baldrige dan Lean Six Sigma Supply Chain Management”, Jakarta: Gramedia, 2011.
[9] Kholil, M.,and Erin,” Perencanaan Kebutuhan Material (MRP) Dengan Menggunakan Teknik Lot Sizing Pada Bahan Baku Baja di PT.Timah Industri (PT.Timah Tbk)”, Universitas Mercu Buana. Fakultas Teknik, Program Studi Teknik Industri: Jakarta, 2009.
[10] Al-Refaie A. “Optimal performance of plastic pipes’ extrusion process using Min-Max model in fuzzy goal programming”. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering. 2017 Aug;231(4):888-98.
[11] Tanınmış K, Aras N, Altınel İK. Improved x-space Algorithm for Min-Max Bilevel Integer Programming with an Application to Misinformation Spread in Social Networks. arXiv preprint arXiv:2005.08039. 2020 May 16.
[12] Imani A, Montazeri-Gh M. “A Min-Max selector controller for turbofan engines with improvement of limit management and low computational burden”. Transactions of the Institute of Measurement and Control. 2019 Jan;41(1):36-44.
[13] Aguswahyudi, F. D., Cokrodewo, A., & Sin, L. G. (2018, December). “Analysis of the Effectiveness of Probabilistic Economic Order Quantity (Eoq) Method Using Model (Q,r) in Medication Industry (Case Study: Apotek Griya Medika Malang)”. In Journal of International Conference Proceedings (Vol. 1, No. 1).
[14] Dobson G, Pinker EJ, Yildiz O. “An EOQ model for perishable goods with age-dependent demand rate”. European Journal of Operational Research. 2017 Feb 16;257(1):84-8.
[15] Dobson G, Pinker EJ, Yildiz O. “An EOQ model for perishable goods with age-dependent demand rate”. European Journal of Operational Research. 2017 Feb 16;257(1):84-8.
[16] Khalilpourazari S, Pasandideh SH. “Multi-item EOQ model with nonlinear unit holding cost and partial backordering: moth-flame optimization algorithm”. Journal of Industrial and Production Engineering. 2017 Jan 2;34(1):42-51.
[17] Khalilpourazari S, Pasandideh SH, Ghodratnama A. “Robust possibilistic programming for multi-item EOQ model with defective supply batches: Whale optimization and water cycle algorithms”. Neural Computing and Applications. 2019 Oct 1;31(10):6587-614.