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SUMMARYAn optimal empirical Bayesian stopping rule for the Poisson compounded with the geometric distribution is developed and applied to the problem of the sequential testing of computer software. For each checkpoint in time, either the software satisfies a desired economic criterion, or else the software testing is continued.

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A technique for solving large‐scale mixed‐integer plant‐location problems is developed and utilized. The plant‐location problem is formulated as a minimum‐cost‐flow network problem and solved with a special purpose network code in conjunction with implicit enumeration. Implicit enumeration reduces the number of plant combinations that need to be examined. The technique was applied to resolve a cotton‐ginning subindustry's least‐cost organizational adjustment to exogenous factors and involved consideration of short‐run plant costs that were piecewise linear with fixed charges, two‐levels of variable labor cost, storage costs, and assembly costs.