Uncertainty in ERP-Controlled Manufacturing Systems

S.C.L. Koh; A. Gunasekara; S.M. Saad; S. Arunachalam

doi:10.4018/jeis.2005070102

10% Discount on All E-Books through IGI Global’s Online Bookstore Extended(10% discount on all e-books cannot be combined with most offers. Discount is valid on purchases made directly through IGI Global Online Bookstore (www.igi-global.com)
and may not be utilized by booksellers and distributors. Offer does not apply to e-Collections and exclusions of select titles may apply. Offer expires June 30, 2022.)Browse Titles

Special Offers
- 10% Discount on All E-Books through IGI Global’s Online Bookstore
  With the continued paper shortages and supply chain issues, we have been informed by our partners that there will be substantial delays in printing and shipping publications, especially as we approach the holiday season. To help incentive the electronic format and streamline access to the latest research, we are offering a 10% discount on all our e-books through IGI Global’s Online Bookstore. Hosted on the InfoSci^® platform, these titles feature no DRM, no additional cost for multi-user licensing, no embargo of content, full-text PDF & HTML format, and more.
  Browse Titles
- IGI Global to Convert an Additional 30 Journals to Full Gold Open Access for the 2022 Volume Year
  IGI Global is to convert an additional 30 journals to full gold open access (OA) for their 2022 volume year, which will expand their OA collection to contain 60 gold open access and one (1) platinum open access journal.
  Learn More
- All IGI Global Scholarly Journals Shift to "Digital Preferred" Format
  In response to the overwhelming demand for electronic content coupled with the mission to decrease the overall environmental impacts of print production and distribution, all IGI Global journals will shift into a digital preferred model for the 2022 volume year. Under this model, journals will become primarily available under electronic format and articles will be immediately available upon acceptance. Print subscriptions and print + electronic subscriptions will still be available, but for the print version, all articles that are published during the volume year will become available at the end of the year in a single (1) printed volume.
  Learn More
- IGI Global’s New DEI e-Book Collection
  Acquire Over 320+ E-Books on Diversity, Equity, and Inclusivity from a publisher that has been dedicated to DEI since its inception over 30 years ago. Now, benefit from a collection of all of our DEI e-Books at a 90% Discount.
  Learn More
- Offering a 5% Pre-Publication Discount on
  All Reference Books Ordered Through IGI Global’s Online Bookstore*
  To support customers with accessing the latest research, IGI Global is offering a 5% pre-publication discount on all hardcover, softcover, e-books, and hardcover + e-books titles.
  *5% discount offer is eligible on hardcover, softcover, e-books, and hardcover + e-books titles and is automatically applied directly to the shopping cart. Discount offer only valid on purchases made directly through IGI Global’s Online Bookstore and offer expires 30 days after the publication’s release. This automatic discount is not intended for use by book distributors or wholesalers.
  Browse Titles
Books
Journals
e-Collections
- - e-Collections
  - Transformative Open Access (Read & Publish)
Open Access
Publish with Us
Resources
- - Instructors
  - Course Adoption
  - Teaching Cases
  - K-12 Online Learning Collection
  - Authors and Editors
  - eEditorial Discovery^® System
  - Peer Review Process
  - Ethics and Malpractice
  - COPE Membership
  - Fair Use Policy
  - Open Access Publishing
  - Author Services
  - FAQ
Catalogs
About Us
Newsroom

Uncertainty in ERP-Controlled Manufacturing Systems

S.C.L. Koh (University of Sheffield, UK), A. Gunasekara (University of Massachusetts-Dartmouth, USA), S.M. Saad (Sheffield Hallam University, UK) and S. Arunachalam (University of East London, USA)

Source Title: International Journal of Enterprise Information Systems (IJEIS) 1(3)

DOI: 10.4018/jeis.2005070102

OnDemand PDF Download:

Available

$37.50

Current Special Offers

No Current Special Offers

Abstract

The use of Enterprise Resource Planning (ERP) is becoming increasingly prevalent in many modern manufacturing enterprises. However, knowledge of their performance when perturbed simultaneously by several significant uncertainties is not as widespread as it should have been. This paper presents the developmental and experimental work on modeling uncertainty within an ERP multi-product, multi-level dependent demand manufacturing planning, and scheduling system in a simulation model developed using ARENA/SIMAN. To enumerate how uncertainty affects the performance of an ERP-controlled manufacturing system, the percentages of Finished Products Delivered Late (FPDL) and Parts Delivered Late (PDL) are measured. Sensitivity analysis shows that PDL gives a more accurate effect. Simulation results are analyzed using Analysis of Variance (ANOVA), which identifies four uncertainties; namely, late delivery from suppliers, machine breakdowns, unexpected/urgent changes to machine assignments, and customer design changes, which significantly affect PDL. Some uncertainties are found significantly interactive in two and three ways. They produce either knock-on and/or compound effects, a factor not generally recognized as a criterion for decision-making.

Complete Article List

Search this Journal:

Reset

Volume 18: 4 Issues (2022): 1 Released, 3 Forthcoming

Volume 17: 4 Issues (2021)

Volume 16: 4 Issues (2020)

Volume 15: 4 Issues (2019)

Volume 14: 4 Issues (2018)

Volume 13: 4 Issues (2017)

Volume 12: 4 Issues (2016)

Volume 11: 4 Issues (2015)

Volume 10: 4 Issues (2014)

Volume 9: 4 Issues (2013)

Volume 8: 4 Issues (2012)

Volume 7: 4 Issues (2011)

Volume 6: 4 Issues (2010)

Volume 5: 4 Issues (2009)

Volume 4: 4 Issues (2008)

Volume 3: 4 Issues (2007)

Volume 2: 4 Issues (2006)

Volume 1: 4 Issues (2005)

View Complete Journal Contents Listing

MLA

APA

Chicago

Export Reference

Uncertainty in ERP-Controlled Manufacturing Systems

Abstract

Complete Article List