Removing a Self-Imposed Restriction in Modelling Hierarchical Decision Processes

Article Abstract:

A pure pyramidal structure is common to most models of decision making in multi-level hierarchical systems. Other organizational decision problems exist that involve inverted pyramidal structure. This restriction which is found in literature, is self-imposed. Conditions are outlined under which existing formulations can model the inverted pyramidal structure. Exploration of more complex organizational structures is recommended.

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Response to 'use of sample information in stochastic recourse and chance-constrained programming models': on the 'Bayesability' of CCP's

Article Abstract:

Jagannathan's use of a utility function for a chance-constrained programming problem yields a Bayesian utility maximization problem that is not germane to the given programming example. The irregular information-evaluation behavior produced by the Bayesian example is therefore irrelevant and does not negate such examples as Blau's. A brief response by R. Jagannathan is also presented.

Linear programming, Bayesian statistical decision theory, Bayesian analysis, Statistical decision, Statistical decision theory, Utility theory, Utility functions, Stochastic programming

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