Lynn A. Sines

Date of Award

9-1991

Document Type

Thesis

Degree Name

Master of Science

First Advisor

Richard I. Moore, PhD

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.

AFIT Designator

AFIT-GSM-LSM-91S-24

DTIC Accession Number

ADA246706

Comments

Presented to the Faculty of the School of Systems and Logistics of the Air Force Institute of Technology, Air University, in Partial Fulfillment of the Requirements for the Degree of Master of Science.

The author's Vita page is omitted.

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