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A multiple objective embedded network model is proposed to model a variety of human resource planning problems including executive succession planning, compensation planning, training program design, diversity management and human systems design. The Tchebycheff Method, an interactive multiple objective programming solution procedure developed by Steuer and Choo [32], is implemented using NETSIDE, a computer routine for solving network problems with side constraints developed by Kennington and Whisrnan [ 171. This paper demonstrates how the network structure common to many types of human resource planning problems can be exploited to improve solution efficiency, and how our approach extends the use of network models in human resource planning by including multiple objectives and extranetwork constraints. An illustrative example demonstrating the modeling and solution approach is presented, and the potential applications of these approaches in two specific areas of human resource planning are discussed. Subject Areas: Managetid Problem Solvlng Processes, Mathematical hgmnuning, Network Theov, and Quantitative TechniquedMethodobgy. human resource planning problems in the U.S. Navy; Glover and Klingman [12], for scheduling undergraduate flight training in the U.S. Air Force; Collins, Meinhardt, Lemon, Gillete and Gass [4], for long-range planning in the Army; Drinka [7] [8], for human systems design; and Gass [lo], for other military manpower planning problems.The effectiveness of network models for these problems is a result of two factors: (1) the natural isomorphic relationship between the flows of individuals through various classifications, various jobs, or both, and the flows through the arcs and nodes of networks, and (2) the computational efficiency of network solution 319 1. Within an organization, individuals possessing certain attributes need to be assigned to jobs each period;

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