Title:
Periodic review inventory management with budget constraints: discrete-event simulation and sensitivity analysis
Authors:
- Federico Solari
- Natalya Lysova
- Damiana Caccamo
- Claudio Suppini
- Roberto Montanari
Published in:
(2023). ECMS 2023, 37th Proceedings
Edited by: Enrico Vicario, Romeo Bandinelli, Virginia Fani, Michele Mastroianni, European Council for Modelling and Simulation.
DOI: http://doi.org/10.7148/2023
ISSN: 2522-2422 (ONLINE)
ISSN: 2522-2414 (PRINT)
ISSN: 2522-2430 (CD-ROM)
ISBN: 978-3-937436-80-7
ISBN: 978-3-937436-79-1 (CD) Communications of the ECMS Volume 37, Issue 1, June 2023, Florence, Italy June 20th – June 23rd, 2023
DOI:
https://doi.org/10.7148/2023-0291
Citation format:
Federico solari, Natalya lysova, Damiana caccamo, Claudio suppini, Roberto montanari (2023). Periodic Review Inventory Management With Budget Constraints: Discrete-Event Simulation And Sensitivity Analysis, ECMS 2023, Proceedings Edited by: Enrico Vicario, Romeo Bandinelli, Virginia Fani, Michele Mastroianni, European Council for Modelling and Simulation. doi:10.7148/2023-0291
Abstract:
In this study, a periodically reviewed inventory system with an order-up-to-level policy and budget constraints is considered. A discrete-event simulation model is developed to identify the optimal operating conditions, in terms of reorder period (DT) and order up to level (OUTL). Two different scenarios, characterized by different unit costs, are considered. A sensitivity analysis is finally conducted to evaluate the impact of procurement lead time and budget constraints on optimal conditions. A linear correlation between optimal DT and optimal OUTL is found and the equation of the line is derived as a function of the average daily demand and procurement lead time.
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