Evaluation of Due Date Assignment Rules for Dynamically Arriving Projects.

Abstract

This research is concerned with the problem of assigning due dates and scheduling projects to meet those due dates in a system where resources are constrained and new projects arrive continuously. In particular, the objective is to evaluate various combinations of due date assignment rules and scheduling heuristics which minimize project completion time and meets the project due date. This research: 1) develops a framework for the dynamic, constrained multiple resource, multi-project scheduling problem; 2) develops and evaluates a number of due date assignment rules; 3) develops and evaluates a number of multi-project scheduling heuristics for the dynamic environment; and 4) presents a simulation model which could be used for academic research on several multi resource scheduling problems. A number of the due date assignment rules that are examined in this study are derivations or extensions of due date assignment rules found in dynamic, job shop scheduling research. The rules are, for the most part, easy to implement and could lead to substantial improvement in estimating/establishing job completion dates. Keywords: computerized simulation.

Document Details

Document Type
Technical Report
Publication Date
Feb 18, 1985
Accession Number
ADA156917

Entities

People

  • J. Dumond

Organizations

  • Air Force Institute of Technology

Tags

DTIC Thesaurus Topics

  • Computer Simulations
  • Engineering
  • Environment
  • Job Shop Scheduling
  • Production Engineering
  • Production Management Methods
  • Scheduling (Production)
  • Simulations
  • Synthetic Environment Simulations
  • Test And Evaluation
  • Virtual Reality

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Operations Research