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Penerapan Konsep Continuous Review (Q,r) Pada Model Economic Order Quantity (EOQ) Uutuk Mengoptimalkan Persediaan Bahan Baku Minuman

*Adi Wahyu Romariardi  -  Universitas Diponegoro, Indonesia
Mustafid Mustafid  -  Universitas Diponegoro, Indonesia
Suryono Suryono  -  Universitas Diponegoro, Indonesia
Open Access Copyright (c) 2022 JSINBIS (Jurnal Sistem Informasi Bisnis)

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Abstract
The challenge in controlling the supply of beverage ingredients is strongly influenced by the stable condition of supply, prices and differences in the shelf life of the beverage ingredients themselves. The high cost of beverage ingredients such as milk, flavoring powder and the difficulty of finding supplies of certain beverage ingredients, all of the increase in prices and difficulties will certainly affect operations. There are three choices, either increase the price, reduce the profit, or reduce the portion size. All these choices will not be easy to decide. This study aims to build an information system by applying the concept of continuous review (Q,r) on the economic order quantity (EOQ) model to optimize the supply of beverage ingredients. With the application of the concept of continuous review (Q, r) in the economic order quantity (EOQ) model on robusta coffee beans  produces  the order quantity is 521.15 grams each time an order is at the inventory level at 746 grams, palm sugar produces the order quantity is 1,430.71 grams every time you order at a stock level at 1124 grams, UHT milk produces the order quantity is 1,188.4 ml each time you order at a stock level at 7462 ml, and sweetened condensed milk produces an order amount of 802,6 grams each time you order at a stock level of 758 grams.

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Keywords: Inventory; Continuous Review (Q,r); Economic Order Quantity (EOQ)

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  1. Chen S.C., Teng J.T., 2014. Retailer’s optimal ordering policy for deteriorating items with maximum lifetime under supplier’s trade credit financing. Applied Mathematical Modelling, vol. 38, no. 15, pp. 4049-4061
  2. McKendall A. R., Shang J., and Kuppusamy S., 2006. Simulated annealing heuristics for the dynamic facility layout problem. Computers & operations research, vol. 33, no. 8, pp. 2431-2444
  3. Muller, M. 2003. Essentials of Inventory Management. AMACOM, New York
  4. P. Siriruk and K. Dungkhokkruad, 2017. Ordering quantity decisions for perishable inventory control using simulated annealing. 4th International Conference on Industrial Engineering and Applications (ICIEA), pp. 111-115
  5. Rosmania, F. A., & Supriyanto, S., 2015. Analisis Pengelolaan Obat sebagai Dasar Pengendalian Safety Stock pada Stagnant dan Stockout Obat (Vol. 3). Surabaya: Jurnal Administrasi Kesehatan Indonesia
  6. Salurante , A. T., 2014. Analisis Perencanaan Persediaan Bahan Baku Dengan Metode Economic Order Quantity (EOQ) Pada CV. D & D Handcraft Collections Yogyakarta. Yogyakarta: Institut Sains & Teknologi AKPRIND Yogyakarta
  7. Schroeder, R.G., 2000. Operations Management: Contemporary Concepts and Case. New York: McGraw-Hill Companies, Inc
  8. Syaiful,Bahri., 2016. Pengantar Akuntansi Berdasarkan SAK ETAP dan IFRS. Penerbit Andi.Yogyakarta
  9. Taleizadeh A. A., 2014. An economic order quantity model for deteriorating item in a purchasing system with multiple prepayments. Applied Mathematical Modelling, vol. 38, no. 23, pp. 5357-5366
  10. Y. Akikuni, K. Okuhara and Y. Fujisaki, 2017. Optimal control of inventory systems with multiple suppliers. 56th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE), 2017, pp. 353-354

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