A Simulated transportation problem for improved operational planning: An application in the trucking industry

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Abstract

This paper demonstrates the use of a simulated transportation method as an approach to developing an instructional guide that is operationally flexible and feasible for planning truck rental needs in a way to minimize costs. The informational impact of this approach aids not only the internal operations, but also external relations with truck renting companies by providing a more accurate measure of the anticipated demand on rental equipment, thus allowing the rental companies an opportunity to meet this demand.

The results of the research conducted indicate the simulated transportation method is a reliable and valid planning instrument for minimizing transportation cost and generating useful information for management decision making.

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We wish to thank our colleague, Paul J. Kuzdrall, for his comments on the earlier draft of this paper.

Marc J. Schniederjans is Director of Undergraduate Programs in the School of Business and Administration at Saint Louis University and an Instructor of Quantitative Management at the University of Missouri at St. Louis. He holds a B.S.B.A. from the University of Missouri at St. Louis and an M.B.A. from Saint Louis University. Mr. Schniederjans is a member of the Academy of Management and the American Marketing Association.

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