Welcome to the InfoSci Platform
Reference Hub1
Uncertainty in ERP-Controlled Manufacturing Systems

Uncertainty in ERP-Controlled Manufacturing Systems

S.C.L. Koh, A. Gunasekara, S.M. Saad, S. Arunachalam
Copyright: © 2005 |Volume: 1 |Issue: 3 |Pages: 18
ISSN: 1548-1115|EISSN: 1548-1123|ISSN: 1548-1115|EISBN13: 9781615202843|EISSN: 1548-1123|DOI: 10.4018/jeis.2005070102
Cite Article Cite Article

MLA

Koh, S.C.L., et al. "Uncertainty in ERP-Controlled Manufacturing Systems." IJEIS vol.1, no.3 2005: pp.17-34. http://doi.org/10.4018/jeis.2005070102

APA

Koh, S., Gunasekara, A., Saad, S., & Arunachalam, S. (2005). Uncertainty in ERP-Controlled Manufacturing Systems. International Journal of Enterprise Information Systems (IJEIS), 1(3), 17-34. http://doi.org/10.4018/jeis.2005070102

Chicago

Koh, S.C.L., et al. "Uncertainty in ERP-Controlled Manufacturing Systems," International Journal of Enterprise Information Systems (IJEIS) 1, no.3: 17-34. http://doi.org/10.4018/jeis.2005070102

Export Reference

Mendeley
Favorite Full-Issue Download

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.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.