On the Dynamic and Robust Management of Multi-Product Perishables, Multi-Echelon Demand Networks

This paper addresses a preliminary study of perishable inventory management (PIM). The aim is the development of a robust and efficient control algorithm tacking into account the stock deterioration and its replenishment subject to a delay from a remote supply source and reacting significantly faste...

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Bibliographic Details
Published in2022 26th International Conference on System Theory, Control and Computing (ICSTCC) pp. 294 - 299
Main Authors Nya, Danielle Nyakam, Abouaissa, Hassane
Format Conference Proceeding
LanguageEnglish
Published IEEE 19.10.2022
Subjects
algebraic estimation
bullwhip effect
Control systems
delay systems
Mathematical models
model-free control
Network topology
Perishable inventory management
Predictive models
Stability analysis
Supply chains
Transportation
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DOI10.1109/ICSTCC55426.2022.9931781

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Summary:This paper addresses a preliminary study of perishable inventory management (PIM). The aim is the development of a robust and efficient control algorithm tacking into account the stock deterioration and its replenishment subject to a delay from a remote supply source and reacting significantly faster to the consumer's demand, which is considered as unknown disturbance. Here, instead of model-based control strategies, through a continuous, local identification of the level variations a model-free control that does not need any prior knowledge of the supply chain behaviors is proposed. The developed control policy permits to take into account both the transportation losses which could appear between the suppliers and the final customers and accounts for decay of goods stored in warehouse (perishing inventories) preventing from exceeding the facilities capacities.
DOI:10.1109/ICSTCC55426.2022.9931781