One of the techniques of operations research is the design of experiments to collect data for analysis. Various designs are available, such as fractional factorial, Latin hypercube, and response surface methodology (RSM). The purpose of these designs is to allow the identification of the factors (including interactions) that affect the results and to permit estimation of their influences. These methods assume that the controllable factors are actually controllable. Generally, these factors are actually controllable only within certain limits. Thus, the results may not be neat, orthogonal sets of independent data, but messy data. Additionally, many situations do not permit designed experiments. The data have been collected for some other purpose and have no structure at all. This results in very messy data.
Messy data can be analyzed, sometimes yielding valuable results.
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|1978||Milliken & Co. Fashion Fabrics||Define how to enter the dress business.|
|1983||Milliken & Co. Carpets||Lead the Information Management Task Force.|
|1988||JAD||Validate attrition algorithms using historical data.|
|1998||US Forces Japan||Recommend a statement of work for US Forces Japan Construction Management procurement.|
|2000||Federal Bureau of Investigation (FBI)||Make recommendations on FBI staffing.|
|2001||US Army Medical Research and Material Command (MRMC) Telemedicine and Advanced Technology Research Center (TATRC)||Advise on portable computerized medical records for soldiers.|
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Solving Complex Operational and Organizational Problems
Dr. Dean S. Hartley III, Principal