The Value of Digital Inventory Governance for Spare Parts: Case Study from the Norwegian Oil and Gas Industry

This research explores the governance of digital inventory platforms for spare parts in the Norwegian oil and gas industry, focusing on both centralized and decentralized configurations.Research methods, including an extensive literature review, comprehensive industry interaction, and detailed interviews with additive manufacturing experts, highlight key characteristics of digital inventory platforms and identify the influencing factors toward optimal formation.Additionally, it evaluates the risk implications of these configurations, demonstrating how centralized models ensure data integrity and compliance to industry standards, while decentralized models potentially facilitate innovation and increased responsiveness within the value chain.Effective governance of these platforms can not only boost operational efficiency but also strengthen the industry's resilience amid a dynamic and turbulent global business environment.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.3850/978-981-94-3281-3_esrel-sra-e2025-p1196-cd
Primary Topic
Robotic Process Automation Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

The Value of Digital Inventory Governance for Spare Parts: Case Study from the Norwegian Oil and Gas Industry

Jawad Raza, Farbod Farshchi
Robotic Process Automation Applications
article

The Value of Digital Inventory Governance for Spare Parts: Case Study from the Norwegian Oil and Gas Industry

Jawad Raza, Farbod Farshchi
article en

Abstract

This research explores the governance of digital inventory platforms for spare parts in the Norwegian oil and gas industry, focusing on both centralized and decentralized configurations.Research methods, including an extensive literature review, comprehensive industry interaction, and detailed interviews with additive manufacturing experts, highlight key characteristics of digital inventory platforms and identify the influencing factors toward optimal formation.Additionally, it evaluates the risk implications of these configurations, demonstrating how centralized models ensure data integrity and compliance to industry standards, while decentralized models potentially facilitate innovation and increased responsiveness within the value chain.Effective governance of these platforms can not only boost operational efficiency but also strengthen the industry's resilience amid a dynamic and turbulent global business environment.

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