Simple Ranking Methods for Allocation of One Resource

This paper considers optimization problems with a nonlinear-additive objective function and a single linear constraint. Such models have numerous direct applications and serve as subproblems in procedures for more complex problems. Some important portfolio selection problems can be expressed in this...

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Vydané v:Management science Ročník 26; číslo 1; s. 34 - 43
Hlavný autor: Zipkin, Paul H
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Linthicum INFORMS 01.01.1980
Institute of Management Sciences
Institute for Operations Research and the Management Sciences
Edícia:Management Science
Predmet:
Algorithms
Budget allocation
Budget constraints
Budgets
Capital
Capital budgeting
Capital costs
Economic resources
Economic theory
Financial portfolios
Generalizations
Knapsack problem
Management science
Methods
Nonlinear programming
nonlinear programming algorithms
Optimal solutions
Optimization
Portfolio management
Portfolios
Ratings & rankings
Resource allocation
Rules
Selection
Variants
ISSN:0025-1909, 1526-5501
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Shrnutí:This paper considers optimization problems with a nonlinear-additive objective function and a single linear constraint. Such models have numerous direct applications and serve as subproblems in procedures for more complex problems. Some important portfolio selection problems can be expressed in this form, and the problem also arises in economic theory. Several authors have noticed independently that special cases and variants of the problem can be solved exactly by surprisingly simple, finite algorithms. The major purpose of this paper is to present these results in a unified framework, which then permits substantial generalizations and extensions. The results lend themselves to an appealing managerial interpretation, similar to the rate-of-return cutoff rules of capital budgeting.
Bibliografia:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ObjectType-Article-1
ISSN:0025-1909
1526-5501
DOI:10.1287/mnsc.26.1.34