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Richard A. Ehrhardt

**Educational Background: 1973-76 MA, Ph.D., Administrative Sciences: Yale University-- 1970-71 MS, Nuclear Engineering: University of California, Berkeley-- 1967-69 MS, Physics: University of Massachusetts, Amherst-- 1963-67 BS, Physics: The Cooper Union, New York, New York **Professional interests: Operations research, stochastic modeling, inventory theory, analysis of production planning systems, materials management

There are 8 included publications by Richard A. Ehrhardt :

TitleDateViewsBrief Description
Cost effectiveness of high risk and population approaches for preventing CHD: A comparative study in New Brunswick, Canada. 2008 182 This paper uses management science methodology to compare the cost-effectiveness of two different approaches to preventing coronary heart disease in the province of New Brunswick, Canada. The general model utilized included realistic assumptions abou...
A Dynamic Inventory Model with Random Replenishment Quantities 1995 726 A periodic-review, random-demand inventory model is analyzed under the assumption that replenishment quantities are random fractions of the amounts ordered. Results of a previous study of a single-period model are generalized to form an easily comput...
Finished goods management for JIT production: new models for analysis 1998 949 A firm is considered that manages its internal manufacturing operations according to a just-in-time system, but maintains an inventory of finished goods as a buffer against random demands from external customers. The finished goods inventory may be a...
An inventory model with random replenishment quantities. 1987 1511 A single-period random demand inventory model is analysed under the assumption that the replenishment quantity is a random function of the amount ordered. The structure of optimal policies is characterized for linear ordering cost functions, both wit...
A model of JIT make-to-stock inventory with stochastic demand 1997 1102 We consider a firm that manages its internal manufacturing operations according to a just-in-time (JIT) system but maintains an inventory of finished goods as a buffer against random demands from external customers. We formulate a model in which fini...
The Power Approximation for Computing (S, S) Inventory Policies 1979 1678 In this paper we present a new analytic approximation for computing (s, S) policies for single items under periodic review with a set-up cost, linear holding and shortage costs, fixed replenishment lead time, and backlogging of unfilled demand. The...
A Revision of the Power Approximation for Computing (s,S) Policies 2010 854 A revision of the Power Approximation for computing (s, S) inventory policies is presented. The revision incorporates modifications which (1) ensure homgeneity in the units chosen to measure demand and (2) ensure the proper limiting behavior of S -...
(s, S) Policies for a Dynamic Inventory Model with Stochastic Lead Times 1984 1005 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. ...