Dynamic Modeling and Effective Inventory Management for Uncertain Perishable Supply Chains with non Synchronized Internal Dynamics

Beatrice Ietto, Beatrice Ietto, Valentina Orsini

2024

Abstract

The problem we consider is to define an efficient management strategy for a periodic-review production-inventory system whose dynamics is characterized by various elements of complexity. These elements characterize the vast majority of practical situations and consist of: 1) perishable goods with unknown deterioration rate, 2) an uncertain future customer demand with oscillations that are not statistically modelable, 3) non-synchronized operations of goods stocking and dispatching inside each review period. With reference to this problem we define a general model of supply chain dynamics capturing the mentioned complex features and encompassing, as particular cases, other models proposed in the literature. We also provide a coherent two criteria based evaluation of the Bullwhip Effect (BE) and a Replenishment Policy (RP) resulting from a min-max formulation of Model Predictive Control (MPC) approach. The RP maximizes the satisfied customer demand and contains the BE within precise limits independent of the customer demand randomness.

Paper Citation

in Harvard Style

Ietto B. and Orsini V. (2024). Dynamic Modeling and Effective Inventory Management for Uncertain Perishable Supply Chains with non Synchronized Internal Dynamics. In Proceedings of the 13th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES; ISBN 978-989-758-681-1, SciTePress, pages 25-34. DOI: 10.5220/0012269700003639

in Bibtex Style

@conference{icores24,
author={Beatrice Ietto and Valentina Orsini},
title={Dynamic Modeling and Effective Inventory Management for Uncertain Perishable Supply Chains with non Synchronized Internal Dynamics},
booktitle={Proceedings of the 13th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES},
year={2024},
pages={25-34},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012269700003639},
isbn={978-989-758-681-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES
TI - Dynamic Modeling and Effective Inventory Management for Uncertain Perishable Supply Chains with non Synchronized Internal Dynamics
SN - 978-989-758-681-1
AU - Ietto B.
AU - Orsini V.
PY - 2024
SP - 25
EP - 34
DO - 10.5220/0012269700003639
PB - SciTePress