, cultural and demographic differences and variations in store format. Accounting for these variations appropriately in inventory … store demands leads to a higher expected profit, for a given inventory and total mean demand. If more than one inventory …-optimizing store inventory policies in midseason. In this paper, we formulate a dynamic stochastic optimization model that determines …

In this paper, we present a simulation optimization algorithm for solving the two-echelon constrained inventory problem …. The goal is to determine the optimal setting of stocking levels to minimize the total inventory investment costs while … optimization algorithms, and can be applied to any multi-item multi-echelon inventory system, where the cost structure and service …

, and to other stochastic inventory problems are indicated. …

Quality of decisions in inventory management models depends on the accuracy of parameter estimates used for decision … better implementation of the model. Though the newsvendor model is one of the most researched inventory models, little is …

costs, repair costs of the new components, inventory holding costs and downtime costs. We perform exact analysis and provide …

inventory hedging under three hierarchies. We derive an easy-to-implement coordination contract and a simple policy structure … balanced adaptiveness, resilience and intertemporal imperatives. It outperforms the conventional inventory hedging and lean … management by reducing premature inventory holding in good times, and timely ramping up safety stock ahead of looming disruptions …

We propose a constraint programming approach for the optimization of inventory routing in the liquefied natural gas …