Comparison of the Operational Characteristics of the Theory of Constraints and Just-In-Time Scheduling Methodologies

Abstract

This study compared the characteristics of scheduling using two approaches: Just-in-Time (JIT) and the Theory of Constraints (TOC). Computer simulation was used to evaluate changes in the throughput of the system due to system variability and varying work-in-process (WIP) levels. The independent variables were processing time, probability of failure, and WIP level. The literature search revealed that these variables impacted performance of JIT systems. Simulation models of three different production systems were developed to determine if the TOC scheduled system would provide greater or equivalent throughput for equivalent levels of WIP, and to determine if the system production flow path had an impact on the performance of the TOC system. The models were scheduled using both JIT and TOC methodologies. The mean throughput for each combination of independent variables was calculated along with the 95 percent confidence interval. The mean and confidence intervals were then graphed for analysis. Simulation results indicated that the TOC system outperforms the JIT system for single product systems while the results of the multiple product systems while the results of the multiple product system were inconclusive. There was no difference between the TOC systems for process time variability, but there was a difference for process station failure.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1991
Accession Number
ADA246706

Entities

People

  • Lynn A. Sines

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Assembly
  • Assembly Lines
  • Business Administration
  • Computer Programming
  • Computer Simulations
  • Computers
  • Confidence Limits
  • Control Simulators
  • Control Systems
  • Engineering
  • Manufacturing
  • Production
  • Production Control
  • Scheduling (Production)
  • Simulations

Readers

  • Military Training and Readiness Simulation
  • Parallel and Distributed Computing.
  • Software Engineering.