Job-Fill Inventories for Sequences of Jobs

Abstract

We consider the problem of determining optimal stock levels for a multi-item inventory system in which demands for items occur in randomly selected groups, causing interdependent demand processes. This structure introduces dependencies that significantly affect the selection of item stock levels in systems whose performance is measured in terms of number of jobs completed or time until first stockout. Performance bounds and stock level selection techniques for several such systems are developed and analyzed.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Aug 18, 1988
Accession Number
ADA204651

Entities

People

  • John W. Mamer
  • Stephen A. Smith

Organizations

  • University of California, Los Angeles

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Commonality
  • Data Science
  • Equations
  • Information Science
  • Inventory
  • Inventory Analysis
  • Knowledge Management
  • Monte Carlo Method
  • Optimization
  • Probability
  • Probability Distributions
  • Production
  • Random Variables
  • Sequences
  • Time Intervals
  • Universities

Readers

  • Logistics and Supply Chain Management.
  • Operations Research
  • Psychometric Testing or Psychological Assessment.