An Algorithm for Multi-Attribute Assignment Models and Spectral Analyses for Dynamic Organization Design.
TEXAS UNIV AUSTIN CENTER FOR CYBERNETIC STUDIES
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A new algorithm for multi-attribute assignment models is presented. Built around the concept of a biased quadratic objective, it proceeds via a sequence of related assignments. Optional stopping is applied when an approximation to the optimum assignment is identified. A second part of the paper deals with manpower planning and organization designs which interact dynamically. A spectral analysis approach is utilized to obtain estimates of career patterns and aspirations in terms of observed and potential transition problems. Goal programming approaches are utilized in both parts of this paper. This is done not only to relate them to each other but also to relate these developments to prior modeling efforts which the authors have undertaken in related areas of manpower planning. Author
- Administration and Management
- Operations Research