Consider the problem of minimizing the required number of work stations on an assembly line for a given cycle time when the processing times are independent, normally distributed random variables. The assignment of tasks to stations is subject to precedence conditions, caused by technological...

In this paper we give some extensions of a result of Nevison and Burstein (Nevison, C. H., M. Burstein. 1984. The dynamic lot-size model with stochastic lead times. Management Sci. 30 100--109.), who discuss a dynamic lot-sizing model with stochastic lead times. They consider a situation in...

We consider an infinite-horizon in problem with stochastic demands where the data vary periodically. Karlin (Karlin, S. 1960a. Dynamic inventory policy with varying stochastic demands. Management Sci. 6 231--258; Karlin, S. 1960b. Optimal policy for dynamic inventory process with stochastic demands...

The paper deals with a nonconvex, bivariate minimization problem arising in a heuristic inventory model of Hadley and Whitin (Hadley, G., T. M. Whitin. 1963. Analysis of Inventory Systems. Prentice-Hall, Inc., Englewood Cliffs, NJ.). An approach is suggested whereby the existence and uniqueness...

We consider the problem of setting safety stock when both the demand in a period and the lead time are random variables. There are two cases to consider. In the first case the parameters of the demand and lead time distributions are known; in the second case they are unknown and must be...

In this paper we develop an approximate model of an inventory control system in which there exist two options for resupply, with one having a shorter lead time. Because the optimal policy appears to be extremely complex, we consider a reasonable extension of the standard (Q, R) policy to allow...

This paper presents a model of an (s, S) inventory system in which there are two priority classes of customers. The model treats excess demands as lost sales and can accommodate an arbitrary deterministic lead time. After considering the associated Markov-chain model, an approximate,...