A Robust Optimization Approach to Inventory Theory

By Dimitris J. Bertsimas, Aurélie C. Thiele. Operational Research, 2006

706 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Management Information Systems, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/563fdc405db7643c24c8b8bdcbaf6abd0b713670

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

In Management Information Systems

In Management Science and Operations Research

Citations in the corpus

Optimal investment and unit sizing of distributed energy systems under uncertainty: A robust optimization approach (2014, methodology): “For the sake of completeness, a proof for equivalency of the following models was presented in [35] and [37].”
A Robust Optimization Perspective on Stochastic Programming (2007, background): “Some applications of robust optimization in a dynamic environment include inventory management ( Bertsimas and Thiele 2006, Ben-Tal et al. 2004) and supply contracts (Ben-Tal et al. 2005).”
Distributionally Robust Optimization and Its Tractable Approximations (2010, background): “Bertsimas and Thiele [9] reported computational results for an inventory model showing that even in the case when the assumed demand distribution had identical first and second moments to the actual demand distribution, an inventory policy which is heavily-tuned to the assumed distribution might per”
Two-Stage Robust Network Flow and Design Under Demand Uncertainty (2007, background): “This result was shown earlier by Bertsimas and Thiele (2006).”
Selected topics in robust convex optimization (2007, methodology): “Extensive research on the subject in the recent years was aimed both at developing the basic RO theory (see [10,14–17,19, 23,24,26,40,44,32,61] and references therein) and at applications of the RO methodology in various areas, including, but not restricted to, Discrete optimization [2,3,21,22], Num”
Optimal Allocation of Surgery Blocks to Operating Rooms Under Uncertainty (2010, positive): “( For research that develops and uses these concepts, see Atamt¨urk (2007), Bertsimas and Sim (2003), Bertsimas and Thiele (2006).)”
Robust Linear Optimization With Recourse (2009, methodology): “Following the approach developed by Bertsimas and Sim [7, 8] and Bertsimas and Thiele [9], we focus on polyhedral uncertainty sets and model the uncertain parameter bi, i = 1, .”
Production, Manufacturing and LogisticsConfidence-based optimisation for the newsvendor problem under binomial, Poisson and exponential demand (2014, positive): “Bertsimas and Thiele [2006] analyse a distribution free inventory problem for which demand in each period is a random variable over a given support identiﬁed by two values: the lower and the upper estimators.”
Increasing Supply Chain Robustness through Process Flexibility and Inventory (2018, background): “Typically, in robust optimization, the uncertainty set is chosen based on some probabilistic interpretation (Bertsimas and Thiele 2006).”
Robust and Data-Driven Optimization: Modern Decision-Making Under Uncertainty (2006, methodology): “Example 3.1 (Inventory management, Bertsimas and Thiele [20]) For i .i.d. demands with mean 100, standard deviation 20, range forecast [60] [140], a time”