Communications to the Editor—A Stochastic Bottleneck Assignment Problem
Abstract
Consider an n-job stochastic bottleneck assignment problem in which the production rates are independent random variables rather than constants. Assume that the production rate, Rij, (Rij ≧ 0; i, j = 1, 2, …, n) of man i when assigned to job j is: (1) exponentially distributed with mean 1/λij or (2) Weibull distributed with scale parameter λij and shape parameter β. It is shown that in either case, the assignment that maximizes the expected rate of the entire line is found by solving the deterministic assignment problem with “cost” matrix [λij].

