Author Type

Graduate Student

Date of Award

2002

Document Type

Thesis

Publication Status

Version of Record

Submission Date

October 2026

Thesis/Dissertation Advisor [Chair]

Han, Chingping (Jim)

Abstract

The study of this paper on entropy-based methodology for measuring and analyzing the material and information complexity across organizational interfaces within a logistical framework material and Information flows within the supply chain are often complex. The complexity analysis described in this paper can be used to highlight several issues that are critical to effective supply chain management, and for internal control. My methodology is based on the understanding that the level of control and predictability, as well as the dynamic characteristics and static of the flows contribute to the overall level of complexity within the supply chain. This study demonstrated that supply chain complexity is realistically understood, carefully and accurately assessed it can be used to monitor and effectively control the performance of the entire supply chain and delivery system. At the supply chain interface, the methodology can provide quantitative insights into the transfer of complexity along the supply chain.

Extent

81 p.

Comments

College of Engineering and Computer Science|FAU Electronic Theses and Dissertations Collection|Thesis (M.S.)--Florida Atlantic University, 2002.|College of Engineering and Computer Science

Identifier

FADT12938

Format

pdf

Download

Share

COinS