Inventory Model for Order Quantity Optimization with Partial Backlogging on Greater Demand at The Beginning

Authors

  • Reanty Teresa Aritonang Postgraduated Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Sumatera Utara, Medan, Indonesia
  • Open Darnius Department of Mathematics, Universitas Sumatera Utara, Medan, Indonesia
  • Sutarman Department of Mathematics, Universitas Sumatera Utara, Medan, Indonesia

DOI:

10.33395/sinkron.v8i3.12600

Keywords:

Order quantity,optimization Shortest period, Backlogging

Abstract

This article discusses the model of inventory with greater demand at the beginning  which allows shortages. During the shortage period, it is assumed that there is a backlogged demand, and the remainder is considered lost sales. This research is completed by using the deterministic inventory model method, namely the EOQ model. The result of using the EOQ method is to determine the inventory lot size and length, with the goal of minimizing the total cost of inventory and generating maximum profits related to the inventory model. An numerical example is given to show the use of this model.

 

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Author Biography

Sutarman, Department of Mathematics, Universitas Sumatera Utara, Medan, Indonesia

 

 

References

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How to Cite

Aritonang, R. T., Darnius, O. ., & Sutarman, S. (2023). Inventory Model for Order Quantity Optimization with Partial Backlogging on Greater Demand at The Beginning. Sinkron : Jurnal Dan Penelitian Teknik Informatika, 7(3), 1544-1553. https://doi.org/10.33395/sinkron.v8i3.12600

Issue

Vol. 7 No. 3 (2023): Article Research Volume 7 Issue 3, July 2023

Section

Articles

License

Copyright (c) 2023 Reanty Teresa Aritonang, Open Darnius, Sutarman

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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