A SEQUENTIAL STOCHASTIC ASSIGNMENT PROBLEM

Abstract

Suppose there are n men available to perform n jobs. The n jobs occur in sequential order with the value of each job being a random variable X. Associated with each man is a probability p. If a p man is assigned to an X = x job, the (expected) reward is assumed to be given by px. After a man is assigned to a job, he is unavailable for future assignments. The paper is concerned with the optimal assignment of the n men to the n jobs so as to maximize the total expected reward. The optimal policy is characterized, and a recursive equation is presented for obtaining the necessary constants of this optimal policy. In particular, if p1 < or = p2 < or = ... < or = pn the optimal choice in the initial stage of an n stage assignment problem is to use pi if x falls into an ith non-overlapping interval comprising the real line. These intervals depend on n and the CDF of X, but are independent of the p's. The optimal policy is also presented for the generalized assignment problem, i.e., the assignment problem where the (expected) reward if a 'p' man is assigned to an x job is given by a function r(p,x).

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1970
Accession Number
AD0712118

Entities

People

  • Cyrus Derman
  • Gerald J. Lieberman
  • Sheldon M. Ross

Organizations

  • Stanford University

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Angle Of Arrival
  • Classification
  • Contracts
  • Distribution Functions
  • Equations
  • Intervals
  • Military Research
  • New York
  • Operations Research
  • Probability
  • Random Variables
  • Security
  • United States
  • United States Government

Fields of Study

  • Mathematics

Readers

  • Naval Personnel Management
  • Organizational Psychology.
  • Statistical inference.