Service BOM Management in the Datacenter Domain: Strategies for Optimal Equipment Reliability

Authors

  • Jitesh Sreedharan Nambiar University of Mumbai, India

DOI:

https://doi.org/10.32996/jcsts.2025.7.3.107

Keywords:

Service Bill of Materials, Field Replaceable Units, Datacenter Reliability, Spare Parts Optimization, Predictive Maintenance

Abstract

Service Bill of Materials (BOM) management represents a critical discipline for ensuring reliability and operational efficiency in datacenter environments. The complex ecosystem of datacenter equipment from cooling systems to servers and networking components demands sophisticated approaches to spare parts management throughout the equipment lifecycle. This comprehensive exploration of Service BOM management examines the fundamental concepts, implementation strategies, and enabling technologies that drive effective practices. Field Replaceable Units (FRUs) form the foundation of service strategies, with standardized modular architectures dramatically reducing mean time to repair across datacenter operations. Various management approaches, including family-based, product-specific, hybrid, and lifecycle-based strategies, offer distinct advantages depending on operational requirements and equipment profiles. Implementation success hinges on integration across configuration management systems, enterprise ecosystems, geographical considerations, and vendor relationships. Modern technology enablers, including specialized Commercial Off-The-Shelf products, Product Lifecycle Management platforms, predictive analytics capabilities, and integration frameworks, have transformed traditional reactive maintenance into proactive, data-driven spare parts management. The demonstrated benefits include substantial reductions in inventory carrying costs, downtime, and administrative overhead while improving parts availability and operational reliability.

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Published

2025-05-23

Issue

Section

Research Article

How to Cite

Jitesh Sreedharan Nambiar. (2025). Service BOM Management in the Datacenter Domain: Strategies for Optimal Equipment Reliability. Journal of Computer Science and Technology Studies, 7(3), 957-963. https://doi.org/10.32996/jcsts.2025.7.3.107