Replenishment System-An Effective Tool of Optimization of Resources and Maintenance Management

Abstract

Effective inventory management is crucial for optimizing resources and ensuring smooth maintenance operations. This paper explores two primary replenishment systems-Economic Order Quantity (EOQ) and Order Level Control-designed to address the challenges posed by demand variability and lead-time uncertainty. The EOQ model determines the optimal order size to minimize total inventory costs, while replenishment systems guide the timing of orders. We analyze the Fixed Order Quantity System (Q System), which maintains a constant order size with variable ordering frequency, and the Fixed Order Interval System (P System), which fixes the ordering intervals but varies the order size. Each system's advantages and challenges are discussed, highlighting their applicability based on demand stability, lead-time consistency, and inventory value. Through a comparative analysis, this paper provides insights into selecting the appropriate replenishment strategy to achieve efficient inventory control, cost minimization, and resource optimization.

Country : India

1 Monica Mehrotra2 S.C. Sehgal

  1. Professor and Director, BBD Engineering College, Lucknow, India
  2. Materials Management Consultant, Ex-NTPC, Consultant-JSW Energy, APGENCO, APIL and STAG Energy, Greater Noida, India

IRJIET, Volume 8, Issue 6, June 2024 pp. 229-235

doi.org/10.47001/IRJIET/2024.806031

References

  1. H. N. Perera, B. Fahimnia, T. Tokar. Inventory and ordering decisions: a systematic review on research driven through behavioral experiments. International journal of operations & production management, pp. 997-1039, 2020
  2. Jaecky and H. Hidayat. Inventory Management Calculations Using the Economic Order Quantity (EOQ) Method in Determining Optimal Quantity and Costs at CV Standard Entertainment Music, ICAESS, November 07, 2023, DOI 10.4108/eai.7-11-2023.2342298
  3. L.P. Wanti, R.H. Maharrani, N.W.A. Prasetya, E. Tripustikasari, G.N. Khtiagung,Optimization of economic order quantity method for a support system reorder point stock. International Journal of Electrical and Computer Engineering (IJECE), 10 (5), pp. 4992-5000, October 2020.
  4. E. Silver, H. Naseraldin, D. Bischak, Determining the reorder point and order-up-to-level in a periodic review system so as to achieve a desired fill rate and a desired average time between replenishments. Journal of the Operational Research Society, 60, 1244-1253, September 2009. 10.1057/palgrave.jors.2602655.
  5. H.N.Perera, B. Fahimnia. Behavioral Supply Chain Management. In: Sarkis, J. (eds) The Palgrave Handbook of Supply Chain Management. Palgrave Macmillan, Cham., 2024.
  6. H. Setyadi, B. Amin, and P. Widodo, Implementation Economic Order Quantity and Reorder Point Methods in Inventory Management Information Systems. Journal of Information Systems and Informatics, 6(1), 103-117, 2024. https://doi.org/10.51519/journalisi.v6i1.647