Research on a Low-Code Platform-Based Supply Chain Collaborative CRM System for Discrete Manufacturing: A Case Study of the Pump and Valve Industry
DOI:
https://doi.org/10.54097/et6y4w45Keywords:
Low-Code Development, Supply Chain Collaboration, Customer Relationship Management (CRM), Pump and Valve IndustryAbstract
The pump and valve manufacturing industry is characterized by significant discrete features, including "high variety, small batch sizes, and high customization." In the deep waters of digital transformation, small and medium-sized enterprises (SMEs) are often constrained by traditional Customer Relationship Management (CRM) systems, which suffer from high development costs, long delivery cycles, and severe disconnection from backend supply chain operations. These limitations lead to challenges in configuring non-standard products, opaque order fulfillment processes ("black boxes"), and inefficient after-sales traceability. Based on empirical research involving 48 typical pump and valve enterprises, this paper proposes a supply chain collaborative CRM architecture based on the low-code development paradigm. Incorporating Model-Driven Engineering (MDE) principles, the study leverages the agile modeling and heterogeneous integration capabilities of low-code technologies to achieve real-time mapping of backend ERP/MES data to frontend interactive interfaces. This approach constructs a collaborative mechanism integrating intelligent configuration and quoting, transparent order progress tracking, and closed-loop service management. The findings not only validate the architectural elasticity and engineering feasibility of low-code technologies in complex discrete manufacturing scenarios but also provide theoretical foundations and practical references for resource-constrained SMEs in the equipment manufacturing sector to explore low-cost, high-adaptability cross-organizational collaboration pathways.
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References
[1] Zhong, R. Y., Xu, X., Klotz, E., & Newman, S. T. (2017). Intelligent manufacturing in the context of Industry 4.0: A review. Engineering, 3(5), 616-630.
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[3] Aslan, B., Stevenson, M., & Hendry, L. C. (2012). Enterprise Resource Planning systems: An assessment of applicability to Make-To-Order companies. Computers in Industry, 63(7), 692-705.
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