The purpose of this theses is to collect and analyze information relating to system performance of the Work Information Management System (WIMS). Information on system performance analysis and tuning is consolidated by means of literature review and interviews of experts. A combination tutorial and questionnaire is developed to collect the data. Two new measurement techniques are developed. Data are collected and summarized on system performance knowledge and involvement in the field. Data are collected on system parameter settings and configuration, external factors related to system performance, and levels of system performance. The data are analyzed to provide a description of current performance conditions, to establish a baseline for future comparisons, and to determine or confirm relationships between performance related variables. Relationships between system performance and other variables are emphasized. Information is collected in fifteen areas of performance from forty-two bases. The research shows larger system memory and unfixed Sharer buffers are strongly related to better system performance. A list of suggested parameter settings is provided. Recommendations for future research in this area are presented.