Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form
D-Scholarship @ Pitt Banner and Links to Homepage

USING SIMULATION TO EXAMINE CUTTING POLICIES FOR A STEEL FIRM

Olsen, Susan Marie (2004) USING SIMULATION TO EXAMINE CUTTING POLICIES FOR A STEEL FIRM. Master's Thesis, University of Pittsburgh. (Unpublished)

[img]
Preview
 PDF
Primary Text
Download (1MB) | Preview

Abstract

Minimizing the cost of filling demand is a problem that reaches back to the foundation of operations research. Here we use simulation to investigate various heuristic policies for a one-dimensional, guillotine cutting stock problem with stochastic demand and multiple supply and demand locations. The policies investigated range from a random selection of feasible pieces, to a more strategic search of pieces of a specific type, to a new policy using dual values from a linear program that models a static, deterministic demand environment. We focus on an application in the steel industry and we use real data in our model. We show that simulation can effectively model such a system, and further we exhibit the relative performance of each policy. Our results demonstrate that this new policy provides statistically significant savings over the other policies investigated.

Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: University of Pittsburgh ETD
Status: Unpublished
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Olsen, Susan Mariesmo133@aol.com
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairSchaefer, Andrewschaefer@ie.pitt.eduSCHAEFER
Committee MemberRajgopal, Jayantrajgopal@pitt.eduRAJGOPAL
Committee MemberShuman, Larryshuman@engr.pitt.eduSHUMAN
Date: 2 February 2004
Date Type: Completion
Defense Date: 24 November 2003
Approval Date: 2 February 2004
Submission Date: 30 November 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: MSIE - Master of Science in Industrial Engineering
Thesis Type: Master's Thesis
Refereed: Yes
Uncontrolled Keywords: one-dimensional cutting stock problem; simulation; stochastic demand
Other ID: http://etd.library.pitt.edu/ETD/available/etd-11302003-233527/, etd-11302003-233527
Date Deposited: 10 Nov 2011 20:06
Last Modified: 15 Nov 2016 13:52
URI: http://d-scholarship.pitt.edu/id/eprint/9867

Metrics

Monthly Views for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item