Optimizing ( s, S ) policies for multi-period inventory models with demand distribution uncertainty: Robust dynamic programing approaches
نویسندگان
چکیده
منابع مشابه
Optimizing (s, S) policies for multi-period inventory models with demand distribution uncertainty: Robust dynamic programing approaches
We consider a finite-horizon single-product periodic-review inventory management problem with demand distribution uncertainty. We formulate the problem as a dynamic program and prove the existence of an optimal (s, S) policy. The corresponding dynamic robust counterpart models are then developed for the box and the ellipsoid uncertainty sets. These counterpart models are transformed into tracta...
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This paper is concerned with a generalization of classical inventory models (with xed ordering costs) that exhibit (s; S) policies. In our model, the distribution of demands in successive periods is dependent on a Markov chain. The model includes the case of cyclic or seasonal demand. The model is further extended to incorporate some other realistic features such as no ordering periods and stor...
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Supply chain management is taken into account as an inseparable component in satisfying customers' requirements. This paper deals with the distribution network design (DND) problem which is a critical issue in achieving supply chain accomplishments. A capable DND can guarantee the success of the entire network performance. However, there are many factors that can cause fluctuations in input dat...
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This study analyzes a stochastic lead time inventory model under the assumptions that (a) replenishment orders do not cross in time and (b) the lead time distribution for a given order is independent of the number and sizes of outstanding orders. The study extends the existing literature on the finitehorizon version of the model and yields an intuitively appealing dynamic program that is nearly...
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Markov-modulated processes have been used in stochastic inventory models with setup costs for modeling demand under the innuence of uncertain environmental factors, such as uctuat-ing economic and marketing conditions. The analyses of these models have been carried out in the literature only under the assumption that unsatissed demand is fully backlogged. We study a Markovian demand model in th...
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ژورنال
عنوان ژورنال: European Journal of Operational Research
سال: 2017
ISSN: 0377-2217
DOI: 10.1016/j.ejor.2017.02.027