Abstract
In today’s rapidly evolving business landscape, organizations are increasingly reliant on Enterprise Resource Planning (ERP) systems to streamline operations and enhance decision-making. However, the rigidity of traditional ERP systems often hampers organizations' ability to adapt to changing market demands and unique business processes. This research addresses these challenges by proposing the development of business rule engines (BREs) tailored for customized ERP workflows. The primary objective is to investigate how BREs can facilitate the dynamic customization of ERP systems, thereby improving flexibility and responsiveness. This study begins with a comprehensive literature review that highlights the limitations of conventional ERP systems, particularly their inflexibility in accommodating diverse business requirements. The review discusses existing frameworks and methodologies for implementing BREs in various business contexts, underscoring their potential to decouple monolithic ERP architectures into more agile and modular systems. By leveraging BREs, organizations can automate decision-making processes, enforce business policies, and modify workflows without extensive coding or system reconfiguration. The proposed methodology encompasses the design and implementation of a BRE framework specifically for ERP systems. The framework includes components such as rule definition, execution, and management, along with integration techniques that allow seamless interaction with existing ERP modules. Results indicate that organizations utilizing BREs experience significant improvements in operational efficiency, reduced time-to-market for new processes, and enhanced compliance with business rules. The discussion elucidates the implications of these findings for both practitioners and researchers, emphasizing the transformative potential of BREs in ERP customization. Furthermore, this research identifies challenges related to the implementation of BREs, including change management and the need for user training, offering recommendations for overcoming these obstacles. Future research directions are proposed to explore advanced integration techniques and the role of artificial intelligence in enhancing the capabilities of BREs within ERP ecosystems.
Keywords
Business Rule Engines, ERP Workflows, Customization, Automation, Decision Logic, Workflow Management, Rule-based Systems, Integration
Citations
IRE Journals:
Sanyasi Sarat Satya Sukumar Bisetty , Rakesh Jena , Rajas Paresh Kshirsagar , Om Goel , Prof. (Dr.) Arpit Jain; Prof. (Dr) Punit Goel
"Developing Business Rule Engines for Customized ERP Workflows" Iconic Research And Engineering Journals Volume 7 Issue 3 2023 Page 596-619
IEEE:
Sanyasi Sarat Satya Sukumar Bisetty , Rakesh Jena , Rajas Paresh Kshirsagar , Om Goel , Prof. (Dr.) Arpit Jain; Prof. (Dr) Punit Goel
"Developing Business Rule Engines for Customized ERP Workflows" Iconic Research And Engineering Journals, 7(3)
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