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Sox Compliance with OEE, Enterprise Modeling and Temporal-ABC

K. Donald Thama, Asad M. Madnib

a Dept. of Mechanical & Industrial Engineering, Ryerson University, Toronto, Ontario, Canada, M5B2K3;
b Dept. of Electrical Engineering, University of California Los Angeles, Los Angeles, California 90095,USA

* Corresponding Author: K. Donald Tham, email

Intelligent Automation & Soft Computing 2018, 24(1), 17-26. https://doi.org/10.1080/10798587.2017.1284411

Abstract

The Sarbanes-Oxley (SOX) Act 2002 resulted from the mounting accounting and corporate scandals in the late 1990s and early 2000s. Since the passage of the SOX Act, companies are facing even greater challenges to meet raised expectations to provide accurate, visible, and timely information for SOX compliance. This research puts forth a systems design framework to achieve a real time, accurate, consistently traceable and easily verifiable SOX compliant technology. Our multidisciplinary and integrative systems design incorporates Overall Equipment Effectiveness (OEE) to ensure effective business performance within a knowledge represented company modeled as Enveloped Activity Based Enterprise Model (EABEM) that facilitates Temporal-Activity Based Costing (ABC) so as to effectively lead to accurate, traceable and verifiable operational cost transparencies necessary for SOX compliance.

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Cite This Article

APA Style
Tham, K.D., Madni, A.M. (2018). Sox compliance with OEE, enterprise modeling and temporal-abc. Intelligent Automation & Soft Computing, 24(1), 17-26. https://doi.org/10.1080/10798587.2017.1284411
Vancouver Style
Tham KD, Madni AM. Sox compliance with OEE, enterprise modeling and temporal-abc. Intell Automat Soft Comput . 2018;24(1):17-26 https://doi.org/10.1080/10798587.2017.1284411
IEEE Style
K.D. Tham and A.M. Madni, “Sox Compliance with OEE, Enterprise Modeling and Temporal-ABC,” Intell. Automat. Soft Comput. , vol. 24, no. 1, pp. 17-26, 2018. https://doi.org/10.1080/10798587.2017.1284411



cc Copyright © 2018 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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