Control Inventory of Raw Materials Using Supply Probabilistic with Q Method (Continuous Review Method) in the Animal Feed Industry Shrimp
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Abstract
The ingredients used to make shrimp feed include soybean meal, shrimp head meal, squid flour, wheat flour, fish head meal, and other components. The demand for companies to produce shrimp feed varies and is unpredictable, leading to a shortage of raw materials and the inability to fulfill orders. To solve this problem, the company places special raw material orders or surprise orders. However, sudden orders result in higher inventory costs than normal company orders. This study aims to determine the optimal raw material order, to minimize inventory costs through a probabilistic model of raw material inventory control with the Q method (continuous review method). Based on the results of the Q method, optimal order quantity (q), reorder points (r), and safety stock (Ss) were obtained. The total inventory cost generated in the Q method was lower than the total inventory cost used by the company, with a total savings of 6.11% per year.
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References
Ackermann, A. E. F., & Sellitto, M. A. (2022). Demand forecasting methods: a review of the literature. Innovar , 32 (85). https://doi.org/10.15446/innovar.v32n85.100979
Alfi, R., Harif, M., & Pharmayeni, P. (2022). Application of Tire Raw Material Inventory Control with Probabilistic Models and Fixed Order Quantity Systems. INVENTORY: Industrial Vocational E-Journal On Agroindustry , 3 (1), 33. https://doi.org/10.52759/inventory.v3i1.71
Almalika, R. (2021). Raw Material Inventory Control as an Important Factor in the Smooth Production Process . https://ilmu.lpkn.id/2021/02/13/pengendalian-persediaan-bahan-baku-as-politik-cepat-dalam-kelancaran-produk-produk/
Arif, M., Supriyadi, S., & Cahyadi (Serang Raya University), D. (2017). Analysis of FX Coal Inventory Planning Using the Material Requirement Planning Method. Journal of Industrial Management and Logistics , 1 (2), 148. https://doi.org/10.30988/jmil.v1i2.25
Chandra, SL, & Sunarni, T. (2020). Application of the Probabilistic Inventory Model Q Considering Lost Sales at Pharmacy X. Scientific Journal of Industrial Engineering , 8 (2), 90–100. https://doi.org/10.24912/jitiuntar.v8i2.7313
Fadilah, MF, & Aryanny, E. (2021). Control of Palm Oil Raw Material Inventory Using Continuous (Q) and Periodic (P) Methods Review at Pt. Xyz. Juminten , 2 (4), 97–108. https://doi.org/10.33005/juminten.v2i4.309
Hidayat, U., Suhara, A., Fariza, AN, & Wathoni, AZ (2020). Raw Material Inventory Planning Using Probabilistic Methods (Pt Sintas Kurama Perdana). Conference on Innovation and Application of Science and Technology (CIASTECH) , Ciastech , 793–802.
Mosca, A., Vidyarthi, N., & Satir, A. (2019). Integrated transportation – inventory models: A review. Operations Research Perspectives , 6 (January). https://doi.org/10.1016/j.orp.2019.100101
Nirfison. (2017). Inventory Planning for Compressor Materials Using Probabilistic Economic Order Quantity for Air Conditioner Products. Operation Excellence , 9 (3), 282–289.
Pratiwi, AI, Fariza, AN, & Yusup, RA (2020). Evaluation of Raw Material Inventory Using the Continuous Review System and Periodic Review System Approach. Options , 13 (2), 120. https://doi.org/10.31315/opsi.v13i2.4137
Prayudha, H., Kusmaningrum, & Amila, K. (2015). Size of the Optimal Order Quantity of Wedge and Taper Components on a Lathe Using the Q Model (Continuous Review Method). National Institute of Technology Online Journal , 3 (4), 330–341.
Puspita, A., & Rahmawati, Y. (2018). Control Method of Palm Oil's Raw Materials Supplies to Guarantee the Quality of the Product. International Journal of Transportation and Infrastructure , ISSN 2597 - 4769 , 65–69.
Rachman, R. (2018). Application of Moving Average and Exponential Smoothing Methods in Garment Industry Production Forecasting. Journal of Informatics , 5 (2), 211–220. https://doi.org/10.31311/ji.v5i2.3309
Shin, J. S., Kim, S., & Lee, J. M. (2015). Production and inventory control of auto parts based on predicted probabilistic distribution of inventory. Digital Communications and Networks , 1 (4), 292–301. https://doi.org/10.1016/j.dcan.2015.10.002
Sukardi. (2021). Educational Research Methodology: Competencies and Practices (R. Damayanti (ed.); Revised). Literary Earth.
Suparno. (2018). Production planning uses the aggregate method for turning processed wood, umbrella model, measuring 4.5 cm x 81 cm to minimize production costs. Management Systems & Industrial Engineering , 1 (2), 74–83.
Suwandi, A., Zagloel, TY, & Hidayatno, A. (2018). Conceptual model of failure risk control on raw materials inventory system. IOP Conference Series: Materials Science and Engineering , 453 (1). https://doi.org/10.1088/1757-899X/453/1/012007