This thesis describes the development and application of a decision support system for logistics strategy modelling. The decision support system that is developed enables the modelling of logistics systems at a strategic level for any country or area in the world. The model runs on IBM PC or compatible computers under DOS (disk operating system). The decision support system uses colour graphics to represent the different physical functions of a logistics system. The graphics of the system is machine independent. The model displays on the screen the map of the area or country which is being considered for logistic planning. The decision support system is hybrid in term of algorithm. It employs optimisation for allocation. The customers are allocated by building a network path from customer to the source points taking into consideration all the production and throughput constraints on factories, distribution depots and transshipment points. The system uses computer graphic visually interactive heuristics to find the best possible location for distribution depots and transshipment points. In a one depot system it gives the optimum solution but where more than one depot is involved, the optimum solution is not guaranteed. The developed model is a cost-driven model. It represents all the logistics system costs in their proper form. Its solution very much depends on the relationship between all the costs. The locations of depots and transshipment points depend on the relationship between inbound and outbound transportation costs. The model has been validated on real world problems, some of which are described here. The advantages of such a decision support system for the formulation of a problem are discussed. Also discussed is the contribution of such an approach at the validation and solution presentation stages.

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The thesis reports a research programme designed to answer two research questions. These are concerned with improving the practice of Visual Interactive Modelling in the context of an Operational Research activity and the potential contribution of Visual Interactive Modelling towards overcoming certain long term concerns which the Operational Research community has regarding the service it provides. The literature of Visual Interactive Modelling is reviewed, as is that of wider aspects of Operational Research concerned with the paradigm used by its practitioners and researchers. Two series of experimental studies are undertaken to collect data to help answer the research questions. Action Research is used for a series of six studies of Visual Interactive Modelling cases. The second series is more laboratory based to gain a type of data which is not available from Action Research. Results are presented in three forms. A 'body of experience' is collated from the data collected during the studies. This will form a base for future researchers in the Visual Interactive Modelling field. Secondly, a series of guidelines is tentatively proposed which could be used by practitioners as a basis for good practice in Visual Interactive Modelling. Finally, in the light of the data collected and reviews of the literature, a new way of considering the contribution of Visual Interactive Modelling to the Operational Research process is proposed. Suggestions for further research are offered.

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Thesis (M.S.)--Virginia Polytechnic Institute and State University, 1991. / Vita. Abstract. Includes bibliographical references (leaves 104-106). Also available via the Internet.

Thesis (Ph.D.)--State University of New York at Buffalo, 1991. / Adviser: Stanley Zionts. Includes bibliographical references.

Timely and appropriate clinical decisions can be lifesaving, and decision support systems could help facilitate this. However, user adoption of clinical decision support systems (CDSS) and their impact on patient care have been disappointing. Contemporary theories in information systems and several evaluation studies have failed to explain or predict the adoption of CDSS. To find out why I conducted a qualitative inquiry using the constructivist grounded theory method. Guided by the theory of planned behaviour, I designed a functional clinical decision support system called DermML. Then, I used it as a stimulus to elicit responses through semi-structured interviews with doctors, a community to which I also belong. Besides the interview data, I also collected demographic data from the participants and anonymous clickstream data from DermML. I found that the clinical community is diverse, and their knowledge needs are varied yet predictable. Using theoretical sampling, constant comparison and iterative conceptualization, I scaled my findings to a substantive theory that explains the difference in practitioners' knowledge needs and predicts adoption based on CDSS type and use context. Having designed DermML myself, the data provided me with design insights that I have articulated as prescriptive design theory. I posit that GT can generate explanatory and predictive theories and prescriptive design theories to guide action. This study eliminates the boundaries between the developers of CDSS, study participants, future users and knowledge mobilization partners. I hope the rich data I collected and the insights I derived help improve the adoption of CDSS and save lives. / Thesis / Doctor of Philosophy (PhD)

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