Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

LEAN MANUFACTURING TOOLS AND TECHNIQUES IN THE PROCESS INDUSTRY WITH A FOCUS ON STEEL

Abdullah, Fawaz Mohammed (2003) LEAN MANUFACTURING TOOLS AND TECHNIQUES IN THE PROCESS INDUSTRY WITH A FOCUS ON STEEL. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

[img]
Preview
PDF
Primary Text

Download (1MB) | Preview

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.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: University of Pittsburgh ETD
Status: Unpublished
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Abdullah, Fawaz Mohammedfmast10@hotmail.com
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairRajgopal, Jayantrajgopal@pitt.eduRAJGOPAL
Committee MemberBidanda, Bopayabidanda@engrng.pitt.edu
Committee MemberHegde, G.G.hegde@katz.pitt.eduHEGDE
Committee MemberWolfe, Harveyhwolfe@engrng.pitt.edu
Committee MemberLaScola Needy, Kimkneedy@engrng.pitt.edu
Date: 3 September 2003
Date Type: Completion
Defense Date: 13 May 2003
Approval Date: 3 September 2003
Submission Date: 28 May 2003
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Institution: University of Pittsburgh
Schools and Programs: Swanson School of Engineering > Industrial Engineering
Degree: PhD - Doctor of Philosophy
Thesis Type: Doctoral Dissertation
Refereed: Yes
Uncontrolled Keywords: Lean Manufacturing; Process Industries; Simulation; Steel Industry; Taxonomy; Value Stream Mapping
Other ID: http://etd.library.pitt.edu:80/ETD/available/etd-05282003-114851/, etd-05282003-114851
Date Deposited: 10 Nov 2011 19:46
Last Modified: 15 Nov 2016 13:44
URI: http://d-scholarship.pitt.edu/id/eprint/7968

Metrics

Monthly Views for the past 3 years

Plum Analytics


Actions (login required)

View Item View Item