909 resultados para Ressource allocation
Resumo:
"November 10, 2005."
Resumo:
"Conducted by three Sloan fellows, members of the 1960-61 Stanford-Sloan program."
Resumo:
pt. 1. An equitable solution to the problem. Sect. 1-5 by R. G. Hennes [et al.]--pt. 2. Classification, traffic volumes and annual costs of county roads and city streets in the state of Washington, by G. A. Riedesel.--pt. 3. Bases for weight-distance taxation in the state of Washington. v. 1. Automobiles & taxicabs. v. 2. Trucks & buses.--pt. 4. The benefits of rural roads to rural property, by Wm. L. Garrison.--pt. 5. The effect of freeway access uponsuburban real property values, by R. O. Wheeler.
Resumo:
Cover title.
Resumo:
Before the Interstate Commerce Commission, no. 4116-1.
Resumo:
"October 1998."
Resumo:
"OAEP-10."
Resumo:
Mode of access: Internet.
Resumo:
"DOT HS 807 793"--P. [4] of cover.
Resumo:
Thesis (Ph.D.)--University of Washington, 2016-06
Resumo:
This paper introduces the rank-dependent quality-adjusted life-years (QALY) model, a new method to aggregate QALYs in economic evaluations of health care. The rank-dependent QALY model permits the formalization of influential concepts of equity in the allocation of health care, such as the fair innings approach, and it includes as special cases many of the social welfare functions that have been proposed in the literature. An important advantage of the rank-dependent QALY model is that it offers a straightforward procedure to estimate equity weights for QALYs. We characterize the rank-dependent QALY model and argue that its central condition has normative appeal. (C) 2003 Elsevier B.V. All rights reserved.
The role of expenditure studies in the (mis)allocation of access to fisheries resources in Australia
Resumo:
The buffer allocation problem (BAP) is a well-known difficult problem in the design of production lines. We present a stochastic algorithm for solving the BAP, based on the cross-entropy method, a new paradigm for stochastic optimization. The algorithm involves the following iterative steps: (a) the generation of buffer allocations according to a certain random mechanism, followed by (b) the modification of this mechanism on the basis of cross-entropy minimization. Through various numerical experiments we demonstrate the efficiency of the proposed algorithm and show that the method can quickly generate (near-)optimal buffer allocations for fairly large production lines.