Title page for ETD etd-05282003-114851
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Type of Document Dissertation
Author Abdullah, Fawaz Mohammed
Author's Email Address fmast10@hotmail.com
URN etd-05282003-114851
Title LEAN MANUFACTURING TOOLS AND TECHNIQUIS IN THE PROCESS INDUSTRY WITH A FOCUS ON STEEL
Degree Doctor of Philosophy
Program Industrial Engineering
School School of Engineering
Advisory Committee
Advisor Name Title
Jayant Rajgopal Committee Chair
Bopaya Bidanda Committee Member
G.G. Hegde Committee Member
Harvey Wolfe Committee Member
Kim LaScola Needy Committee Member
Keywords
  • Process Industries
  • Lean Manufacturing
  • Simulation
  • Taxonomy
  • Value Stream Mapping
  • Steel Industry
Date of Defense 2003-05-13
Availability unrestricted
Abstract
This research addresses the application of lean manufacturing concepts to the continuous production/ process sector with a focus on the steel industry. The goal of this research is to investigate how lean manufacturing tools can be adapted from the discrete to the continuous manufacturing environment, and to evaluate their benefits on a specific application instance. Although the process and discrete industry share several common characteristics, there are areas where they are very different. Both manufacturing settings have overlap, but at the extreme, each has its unique characteristics. This research attempts to identify commonalities between discrete and continuous manufacturing where lean techniques from the discrete side are directly applicable. The ideas are tested on a large steel manufacturing company (referred to as ABS). Value stream mapping is used to first map the current state and then used to identify sources of waste and to identify lean tools to try to eliminate this waste. The future state map is then developed for a system with lean tools applied to it. To quantify the benefits gained from using lean tools and techniques in the value stream mapping, a detailed simulation model is developed for ABS and a designed experiment is used to analyze the outputs of the simulation model for different lean configurations. Generalizations of the results are also provided.

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