Solution of Stochastic Capital Budgeting Problems in a Multidivisional Firm.

Abstract

In this paper we formulate an iterative solution procedure for stochastic capital budgeting problems in multidivisional firms where headquarters must arrive at an optimal divisional allocation of capital assets. It is assumed that headquarters allows for its responsibility by accepting a calculated risk that periodic budgetary constraints might be violated. This attitude towards risk is modelled via the use of chance constraints. The organization of the information exchange between headquarters and divisions is basically derived from the decomposition principle but possible variations are discussed. The proposed procedure allows the consideration of divisions who are cheating while submitting divisional information to headquarters. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1980
Accession Number
ADA089522

Entities

People

  • Gerhard W. Schiefer
  • James R. Freeland

Organizations

  • Stanford University

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Agricultural Economics
  • Algorithms
  • Business Administration
  • Computations
  • Convex Programming
  • Decomposition
  • Information Exchange
  • Linear Programming
  • Mathematical Programming
  • New York
  • Operations Research
  • Optimization
  • Probability
  • Probability Distributions
  • Random Variables
  • Simplex Method
  • United States

Readers

  • Defense Financial Management and Audit.
  • Industrial Economics
  • Operations Research