This textbook provides a comprehensive modeling, reformulation and optimization approach
for solving production planning and related supply chain planning problems, covering topics …

Following our previous paper (Brahimi, Dauzère-Pérès, Najid, & Nordli, 2006), we present
an updated and extended survey of Single-Item Lot-Sizing Problems with focus on …

We present an integrated prediction-optimization (PredOpt) framework to efficiently solve
sequential decision-making problems by predicting the values of binary decision variables …

An inventory routing problem is a variation of the vehicle routing problem in which inventory
and routing decisions are determined simultaneously over a given time horizon. The …

Recharging decisions for electric vehicles require many special considerations because of
battery dynamics. Battery longevity is prolonged by recharging less frequently and at slower …

In this paper, we study the interaction between the lot-sizing problem and the storage
assignment problem. Traditional lot-sizing problems have been studied for decades …

The inventory routing problem arises in vendor managed systems, in which a supplier is
responsible for replenishing inventories of products at a set of retailers and manages the …

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We study two different lot-sizing problems with time windows that have been proposed
recently. For the case of production time windows, in which each client specific order must …

In this study, we present a deep learning-optimization framework to tackle dynamic mixed-
integer programs. Specifically, we develop a bidirectional Long Short Term Memory (LSTM) …