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Growing Science » Decision Science Letters » Company performance improvement by quality based intelligent-ERP

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Decision Science Letters

ISSN 1929-5812 (Online) - ISSN 1929-5804 (Print)
Quarterly Publication
Volume 8 Issue 2 pp. 151-162 , 2019

Company performance improvement by quality based intelligent-ERP Pages 151-162 Right click to download the paper Download PDF

Authors: Kouroush Jenab, Selva Staub, Saeid Moslehpour, Cuibing Wu

📋 Author Affiliations:
K. Jenab¹, C. Wu¹, S. Staub², S. Moslehpour³
¹ Department of Engineering and Technology Management, Morehead State University, KY, United States
² Department of International Trades and Logistics, Bandırma Onyedi Eylül Üniversity, Turkey
³ Department of Electrical and Computer Engineering, Hartford University, CT, United States
doi 10.5267/j.dsl.2018.7.003
Crossmark
23 Source: Scopus

🔑 Keywords: Company operations, Quality, Intelligent based ERP, Decision tree, Machine learning

Abstract: The purpose of this paper is to examine the extent to which the Intelligent Enterprise Resource Planning (I-ERP) System can be used in company operations. Machine learning is embedded in a decision tree algorithm to demonstrate the viability of intelligent technology in an ERP system and to enhance the quality of operations through an I-ERP system. The study consists of two steps. In the first step, the algorithm uses the decision tree algorithm to demonstrate the application of intelligent technology in an ERP system. In the second step, the proposed model analyzes four quality criteria related to company operations through I-ERP system in order to determine whether or not I-ERP has significant improvement on managers’ decisions. As a result, the use of I-EPR may improve the quality of operations, agile respond to market demand, increase the efficiency and the competitiveness in organizations. An illustration example is provided to demonstrate the application of I-ERP.

How to cite this paper
APA: Jenab, K., Staub, S., Moslehpour, S & Wu, C. (2019). Company performance improvement by quality based intelligent-ERP. Decision Science Letters, 8(2), 151-162.
Chicago/Turabian: Jenab, K., Staub, S., Moslehpour, S & Wu, C. 2019. "Company performance improvement by quality based intelligent-ERP." Decision Science Letters 8, no. 2 (2019): 151-162.
AMA: Jenab, K., Staub, S., Moslehpour, S & Wu, C. Company performance improvement by quality based intelligent-ERP. Decision Science Letters. 2019;8(2):151-162.

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Journal: Decision Science Letters | Year: 2019 | Volume: 8 | Issue: 2 | Views: 3028 | Reviews: 0

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