Analysis of base-stock perishable inventory systems with general lifetime and lead-time

Photo : Analysis of base-stock perishable inventory systems with general lifetime and lead-time

Food waste is a major problem leading to overproduction, pollution and degradation of the environment.  For a better management of perishable inventories, we analyze a base-stock inventory model corresponding to inventories in shops with fruits and vegetables. Our study reveals important differences in performance evaluation when the common assumptions of deterministic or exponential lifetimes are used.  A better fit with the empirical lifetime of perishable products may lead to significant food savings! 

A base-stock inventory system for perishables with Markovian demand and general lead-time and lifetime distributions is investigated. Using a queueing network model, we derive explicit expressions of the stationary distribution of the inventory state together with the total expected cost in a base-stock system with lost-sales. Next, we show some monotonicity properties of the cost function and propose a procedure to derive the optimal base-stock.

Extensions to the backorders case and to a dual-sourcing system with multiple warehouses are also provided. Our results generalize existing ones from the literature where the lifetime and the lead-time follow either deterministic or exponential distributions. Finally, we investigate the effect of the lifetime and lead-time variability on the system cost and the optimal base-stock level. In particular, we show the substantial errors made when assuming deterministic or exponential distributions for the lifetime. This further shows the need to have results beyond exponential or deterministic assumptions.

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    Benjamin Legros Benjamin Legros is a Professor of Finance. He joined EM Normandie Business School in 2017. He has a PhD in management science from the Ecole CentraleSupélec, awarded in 2013. His thesis is on optimising flows in multichannel call centres. His research interests are stochastic models with applications centred around contact centre technologies and finance.

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