Management Information Systems Commons^™

A Risk/Cost Framework For Logistics Policy Evaluation: Hazardous Waste Management, Kimberly Hollister

Department of Information Management and Business Analytics Faculty Scholarship and Creative Works

The management of hazardous waste disposal operations is extremely complex involving a multitude of environmental, engineering, economic, social and political concerns. This article proposes a framework to assist policy makers in the evaluation of logistic policies. A spatial general equilibrium based policy evaluation model is developed to calculate risk, cost, and risk equity tradeoff curves. This framework provides policy makers a tool with which they can relate resulting logistics patterns and their associated risk, cost, and equity attributes to original policy goals.

Sampling Concepts, Paul Boyd, Ph.D.

MBA Faculty Conference Papers & Journal Articles

The usefulness of any research is dependent upon how well the group studied represents the group about which decisions are to be made or conclusions drawn. That is, it depends upon how well the sample reflects relevant characteristics of the population. When it is possible to study every member of that group there is no problem, for on these occasions we can easily calculate the exact attribute (parameter) of interest for our population.

For example, if we were interested in determining the average number of gallons of gasoline sold to customers at our service station yesterday, we …

Pricing And Product Mix Optimization In Freight Transportation, Michael F. Gorman

MIS/OM/DS Faculty Publications

We propose improved pricing and market mix can improve the profitability of the freight transportation provider through the reduction of equipment repositioning costs. We hypothesize that because of complexities surrounding pricing and equipment repositioning costing, existing pricing strategies in freight transportation fail to fully consider these costs. We test this hypothesis in an applied setting in which Monte Carlo simulation captures the stochasticity of market conditions inherent in the problem. We use a heuristic to improve the nondifferentiable, discontinuous objective function.

Our results from test cases show with high confidence that current prices are not optimal, as indicated by a …