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

Abstract

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.

Adaptive Model-Free Control for Robust and Dynamic Management of Perishable Products*

“…Indeed, faced with the hardship of modeling all the components of the meshed and complex supply chain systems, non-model-based control and particularly, the MFC law seems to be a sturdy alternative to deal with perishable inventory control. A preliminary study of inventory management problem of multiproduct perishables, multi-echelon demand networks with perishability using MFC was started in [37]. Here, in order to achieve excellent delay compensation, considerable net stock reduction and attenuation of bullwhip effect that imply reduction of cost, an adaptive model-free control (AMFC) is developed for a robust and efficient control for supply chains with perishability.…”

A robust inventory management in dynamic supply chains using an adaptive model-free control

“…It might be one of the very few publications that are combine recent advances in time series and model-free control in the frame of SMC. Preliminary results using model-free control are already proposed in [ (Koussaila et al, 2019)], [ (Nyakam and Abouaïssa, 2022b)], [(Nkayam Hachour and Abouaïssa, (2022)], [ (Nyakam and Abouaïssa, 2022a)].…”