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Published on 8 November 2024
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Li,X.;Ji,X.;He,J. (2024). Modular design and custom development in ERP systems. Applied and Computational Engineering,93,155-160.
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Modular design and custom development in ERP systems

Xu Li 1, Xiaoheng Ji 2, Jiahong He *,3,
  • 1 The University of Sheffield, Sheffield, The UK
  • 2 The University of Auckland
  • 3 Shenzhen Technology University, Guangdong, China

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/93/20240955

Abstract

Enterprise Resource Planning (ERP) systems are integral to modern business operations, offering streamlined processes and enhanced efficiency. This paper explores the advantages and disadvantages of modular design in ERP systems and examines custom development methods to address unique industry requirements. The study highlights the benefits of modular design, such as flexibility, scalability, and reduced complexity, while also addressing challenges like integration issues and system fragmentation. Strategies for efficient module integration, including standardized protocols and middleware solutions, are discussed to mitigate these challenges. Custom development methods, including vendor tools, scratch-built modules, and third-party collaborations, are analyzed for their effectiveness in achieving tailored ERP solutions. Case studies from the manufacturing, healthcare, and retail industries illustrate the practical applications and outcomes of modular ERP systems, providing insights into the implementation process and potential obstacles. The findings underscore the importance of careful planning, stakeholder involvement, and comprehensive training to ensure successful ERP system deployment and utilization.

Keywords

ERP systems, modular design, custom development, integration strategies, manufacturing industry

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Cite this article

Li,X.;Ji,X.;He,J. (2024). Modular design and custom development in ERP systems. Applied and Computational Engineering,93,155-160.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2nd International Conference on Machine Learning and Automation

Conference website: https://2024.confmla.org/
ISBN:978-1-83558-627-3(Print) / 978-1-83558-628-0(Online)
Conference date: 21 November 2024
Editor:Mustafa ISTANBULLU, Xinqing Xiao
Series: Applied and Computational Engineering
Volume number: Vol.93
ISSN:2755-2721(Print) / 2755-273X(Online)

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