Robust optimization of uncertain multistage inventory systems with inexact data in decision rules

Abstract

In production-inventory problems customer demand is often subject to uncertainty. Therefore, it is challenging to design production plans that satisfy both demand and a set of constraints on e.g. production capacity and required inventory levels. Adjustable robust optimization (ARO) is a technique to solve these dynamic (multistage) production-inventory… (More)
DOI: 10.1007/s10287-016-0253-6

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