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A multilevel programming approach to decentralized (or hierarchical) resource allocation systems
Author(s) -
Mitiku Semu
Publication year - 2007
Publication title -
pamm
Language(s) - English
Resource type - Journals
ISSN - 1617-7061
DOI - 10.1002/pamm.200700127
Subject(s) - boss , computer science , hierarchy , operations research , analytic hierarchy process , management science , resource allocation , profit (economics) , decision support system , decision problem , optimal decision , decision process , artificial intelligence , engineering , decision tree , economics , microeconomics , algorithm , mechanical engineering , computer network , market economy
In many decision processes there is a hierarchy of decision‐makers and decisions are taken at different levels in this hierarchy. In business (and many other practical activities) decision making has changed over the last decades. From a single person (the boss!) and a single criterion (e.g. profit), decision environments have developed increasingly to become multi‐person and multi‐criteria and even multi‐level (or hierarchical) situations. In organization with hierarchical decision systems, the sequential and preemptive nature of the decision process makes the problem of selecting an optimum strategy and action very different from the usual operations research methods. Therefore, a multilevel programming approach is considered in modeling such problems. In particular a three‐level mathematical programming model has been proposed for an optimal resource allocation problem in Ethiopian universities. (© 2008 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)