Present models for prescribing the configuration of a firm's physical distribution system generally fail to consider order service time as a variable, though there is reason to believe buyers are influenced by service time differentials among suppliers. This article attempts to clarify how retailers discriminate among levels of service time available.
Get full access to this article
View all access options for this article.
References
1.
BaumolWilliam J. and WolfePhilip, “A Warehouse Location Problem,” Operations Research, 6 (March–April 1958), 252.
2.
“The Case for 90% Satisfaction,” Business Week, no. 1637 (January 14, 1961), 82–5.
3.
HeskettJ. L., “Predictive Value of Classroom Simulation,” in DeckerWilliam S., ed., Emerging Concepts in Marketing, Proceedings (Winter1962), Chicago: American Marketing Association, 1963, 77–84.
4.
HeskettJ. L., IvieRobert M., and GlaskowskyNicholas A.Jr., Business Logistics, New York: The Ronald Press Company, 1964, 155–75.
5.
AlfredA. Kuehn and HamburgerMichael J., “A Heuristic Program for Locating Warehouses,” Management Science, 9 (July 1963), 643–66.
6.
MossmanFrank H., “Logistics Systems and Total Cost Analysis,” in Papers—Fourth Annual Meeting of the Transportation Research Forum, Oxford, Ind.: Richard B. Cross Co., 1963, 49–61.
7.
MossmanFrank H. and MortonNewton, Logistics of Distribution Systems, Boston: Allyn and Bacon, Inc., 1965, 245–50.
8.
RiderJohn L., An Evaluation of the Predictive Value of Observational Gaming, Unpublished master's thesis, College of Commerce and Administration, Ohio State University, 1963.
9.
SmillieK. W., An Introduction to Regression and Correlation, New York: Academic Press, 1966, 99–101.
10.
SmykayEdward W., BowersoxDonald J., and MossmanFrank H., Physical Distribution Management, New York: The Macmillan Company, 1961, 77–84.
