A Diffusion Model of Inventory and Production Control.

Abstract

We consider the diffusion limits of several closely related production planning problems. Each involves a make-to-stock producer who faces IID demands over a sequence of future periods. In the simplest formulation, a production capacity or workforce level must be fixed at time zero, and thereafter the actual production rate is adjusted dynamically in response to inventory fluctuations. The capacity decision fixes certain operating costs and constrains subsequent decisions regarding production rates. Fixing the demand process, we consider a sequence of cost structures in which the total inventory carrying cost approaches zero. (This requires that both the physical cost of carrying inventory and the interest rate earned on external investment vanish). Under this condition, the production planning problem approaches a two-stage optimal control problem for Brownian motion. The first stage of the limiting problem involves drift rate selection for a Brownian motion, and its second stage is the instantaneous control problem formulated and solved by Harrison-Taylor (1977). With small holding costs, we find that an optimal capacity decision calls for near equality of the average production and demand rates, which in turn justifies a diffusion approximation for the subsequent problem of inventory control through production rate adjustment.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1982
Accession Number
ADA120645

Entities

People

  • J. Michael Harrison

Organizations

  • Stanford University

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Brownian Motion
  • Diffusion
  • Inventory
  • Inventory Control
  • Military Research
  • Operations Research
  • Production
  • Production Control
  • Production Planning
  • Production Rate
  • Random Variables
  • Random Walk
  • Sequences
  • Stochastic Control
  • Stochastic Processes
  • Two Dimensional
  • United States

Fields of Study

  • Mathematics

Readers

  • Industrial Economics
  • Life Cycle Cost Analysis
  • Statistical inference.