Staircase transportation problems with superadditive rewards and cumulative capacities |
| |
Authors: | Alan J. Hoffman Arthur F. Veinott Jr. |
| |
Affiliation: | (1) IBM Research, Yorktown Heights, NY, USA;(2) Department of Operations Research, Stanford University, 94305 Stanford, CA, USA |
| |
Abstract: | A cumulative-capacitated transportation problem is studied. The supply nodes and demand nodes are each chains. Shipments from a supply node to a demand node are possible only if the pair lies in a sublattice, or equivalently, in a staircase disjoint union of rectangles, of the product of the two chains. There are (lattice) superadditive upper bounds on the cumulative flows in all leading subrectangles of each rectangle. It is shown that there is a greatest cumulative flow formed by the natural generalization of the South-West Corner Rule that respects cumulative-flow capacities; it has maximum reward when the rewards are (lattice) superadditive; it is integer if the supplies, demands and capacities are integer; and it can be calculated myopically in linear time. The result is specialized to earlier work of Hoeffding (1940), Fréchet (1951), Lorentz (1953), Hoffman (1963) and Barnes and Hoffman (1985). Applications are given to extreme constrained bivariate distributions, optimal distribution with limited one-way product substitution and, generalizing results of Derman and Klein (1958), optimal sales with age-dependent rewards and capacities.To our friend, Philip Wolfe, with admiration and affection, on the occasion of his 65th birthday.Research was supported respectively by the IBM T.J. Watson and IBM Almaden Research Centers and is a minor revision of the IBM Research Report [6]. |
| |
Keywords: | Transportation problem assignment problem supply demand staircase capacity lattice sublattice superadditive subadditive greatest element myopic greedy integral linear time complexity bivariate distribution correlation distribution substitution inventory age FIFO LIFO |
本文献已被 SpringerLink 等数据库收录! |
|