| Issue |
E3S Web Conf.
Volume 448, 2023
The 8th International Conference on Energy, Environment, Epidemiology and Information System (ICENIS 2023)
|
|
|---|---|---|
| Article Number | 02033 | |
| Number of page(s) | 7 | |
| Section | Information System | |
| DOI | https://doi.org/10.1051/e3sconf/202344802033 | |
| Published online | 17 November 2023 | |
Quasi Monte Carlo for Periodic Review in Inventory Systems
1 Doctoral Program of Information System, Universitas Diponegoro, Semarang, Indonesia
2 Universitas Negeri Semarang, Semarang, Indonesia
* Corresponding author: endangsugiharti@students.undip.ac.id
Periodic Review as a method is widely used especially in inventory system. In this paper Quasi Monte Carlo is used for simulating Periodic Review. The problem: How to implement Quasi Monte Carlo simulation in Periodic Review for inventory system of MSMEs in order to achieve the expected minimum inventory cost? The solution offered: Implementation of Periodic Review with Quasi Monte Carlo in inventory system in MSMEs in order to achieve the expected minimum inventory cost. The method used in this article is a Literature Study on the use of Periodic Review optimization with Quasi Monte Carlo which is implemented in the inventory system. Result: Through the use of Quasi Monte Carlo in Periodic Review in Inventory System, the minimum inventory cost expected by MSMEs is achieved.
© The Authors, published by EDP Sciences, 2023
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