Robust optimization of uncertain multistage inventory systems with inexact data in decision rules
نویسندگان
چکیده
منابع مشابه
Robust optimization of uncertain multistage inventory systems with inexact data in decision rules
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 problems. In ARO, the decision in each st...
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ژورنال
عنوان ژورنال: Computational Management Science
سال: 2016
ISSN: 1619-697X,1619-6988
DOI: 10.1007/s10287-016-0253-6