queueing process under a specified time-window constraint. Then a stochastic dynamic programming model is formulated to … counter management, and most of those that have looked into this problem have resorted to simulation to study the queue …

To reduce lead-time and its variability, modern supply and transportation contracts often specify the frequency of, and …., Y. Gerchak. 1989. Transportation contracts and safety stocks for just-in-time deliveries. Manufacturing and Oper … transportation costs. We then use the resulting total costs to derive the optimal contract volume. Various examples are provided. The …

the improvement is the use of dynamic programming to model sequential sampling as an option to learn before selecting an …Sequential sampling problems arise in stochastic simulation and many other applications. Sampling is used to infer the …, as is common in the literature. <i>This paper was accepted by Assaf Zeevi, stochastic models and simulation.</i> …

simulation program integrated with a polynomial-time dynamic programming algorithm is developed. The methodology has been …

problems lead to dynamic programming problems with a very large number of state variables. Thus, an exact derivation of the … state variable is overcome by means of an iterative method which combines simulation and recursive estimation to compute …

global warming policies. Because there are typically profound uncertainties in these models, a simulation approach is often …, known as the Dynamic Integrated Model of Climate and the Economy (DICE model). We find that the DICE model is sensitive to …

excessive variability in the repair burden. We apply dynamic programming policy improvement to develop an effective dynamic … concerning the proportions of the warranty population for which the vendors should be responsible overall. Dynamic allocation … suggested by static models. A dynamic greedy allocation heuristic is found to perform well. Dividing the workload equally among …

problem, we propose a provably convergent approximate dynamic programming algorithm. We also adapt the algorithm to an online …. We formulate the problem as a dynamic program, but this encounters the classic curse of dimensionality. To overcome this …

regions, prices differ by the associated transportation cost. The problem has several quadratic programming formulations. We … and represented as a point on a transportation network. The problem addressed is to determine an equilibrium price in each … region so that regional price differences do not exceed unit transportation costs, and when trade takes place between two …