Work

Optimizing Spare Parts Inventory and Logistics for Maximum Plant Uptime in the Energy Sector

Year: 2025

Type: article

Abstract: Equipments play a critical role in Oil Gas (ONG) operations. Failure of their proper and efficient functioning has direct and significant bearing on plant uptime, energy output and supply chain (SC) stability. This article delves into the mechanical failure modes and predictive maintenance techniques, to enhance spare part forecasting. It establishes the usefulness of predictive analytics in deciding optimum spare parts inventory levels necessary for ensuring cost rationalization for balancing operational cost and efficiency. The article focuses on the application of sophisticated technology for achieving maximum plant uptime.

Source: International Journal of Supply Chain Management

DOI: 10.59160/ijscm.v14i2.6305

Author: Shankar Bhaskaran Narayanan

Institution: Amazon (United States)

Language: English

Topic: Reliability and Maintenance Optimization

Subfield: Safety, Risk, Reliability and Quality

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W4409852188

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