Document Type
Thesis
Degree
Master of Science (MS)
Major/Program
Please see currently inactive department below.
Major/Program
Industrial Engineering
First Advisor's Name
Ronald Giachetti
First Advisor's Committee Title
Committee Chair
Second Advisor's Name
Chin-Sheng Chen
Third Advisor's Name
Martha A. Centeno
Date of Defense
3-30-2005
Abstract
The purpose of this study is to define and measure workflow modularity. There is an increasing need for organizations to implement processes that can be easily configured to offer distinctive capabilities compared to the competition. The concept of modularity provides the foundation for organizations to design flexible processes.
The Event-Driven Process Chain (EPC) approach is used to model an example workflow to illustrate. Based on the model of atomic tasks, rules are developed to guide the creation of modules with high cohesion between tasks in a module and loose-coupling between modules. Matrices of atomic tasks interdependencies are developed and tasks are then clustered based on interdependence strengths.
The main deliverable is a mathematical model for defining and analyzing a modular workflow to enable the creation of flexible workflow processes. The modularization model represents tasks relationships that maximizes cohesion between tasks, minimizes coupling between modules, while minimizing workflow time.
Identifier
FI14060805
Recommended Citation
Chin, Dawn-Marie, "A definition and measure of workflow modularity" (2005). FIU Electronic Theses and Dissertations. 2338.
https://digitalcommons.fiu.edu/etd/2338
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Comments
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