We present a method for approximating the solution of mixed integer non-concave programming problems in bounded variables. We present computational results for 39 test problems which suggest that the procedure offers a practical useful way of approximating solutions of programming problems of...

In a system with several stochastically failing parts and economies of scale in their maintenance, it may be advantageous to follow an "opportunistic" policy for maintenance. In opportunistic policies the action to be taken on a given part at a given time depends on the state of the other parts...

In a team decision problem there are two or more decision variables, and these different decisions can be made to depend upon different aspects of the environment, or information variables, the resulting payoff being a random variable. The choice of optimal rules for selecting information...