# Critical Spare Parts Identification and Quantification for BESS Projects

**Company**: Rolls-Royce Power Systems
**Location**: Friedrichshafen
**Experience**: entry
**Job type**: temporary
**Category**: Engineering
**Industry**: Manufacturing

**Apply**: https://rollsroyce.wd3.myworkdayjobs.com/en-US/Intern_Graduate/job/Friedrichshafen/Abschlussarbeit--Optimierung-der-Ersatzteilplanung-fr-Batteriespeichersysteme--BESS--durch-den-Einsatz-des-RCM--Reliability-Centered-Maintenance--Prozesses-_JR6155990-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
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## Description

This job focuses on identifying and quantifying critical spare parts for Battery Energy Storage Systems (BESS) projects. The goal is to develop and validate a process for spare part planning and inventory strategy using conventional Reliability-Centered Maintenance (RCM) methods and AI-based approaches.

**Key Tasks:**

- Investigate current RCM processes in the industry and evaluate existing scientific literature and best practices.

- Assess and improve existing RCM processes for BESS at Rolls-Royce, identifying potential areas for enhancement.

- Analyze interactions between sales, service, procurement, and quality in the context of RCM.

- Develop a method to scientifically identify and plan critical spare parts and required quantities over the system lifespan, assuming constant failure rates.

- Determine the optimal inventory strategy for spare parts, considering local versus global storage.

- Generate and validate results for spare part and inventory strategies using conventional and AI-based approaches.

- Optional: Methodologically describe and analyze failure chain analysis and error code mapping.

- Optional: Compare traditional and AI-based methods for pattern recognition and risk assessment.

**Requirements:**

- Master's student in Engineering, Data Science, or a related field.

- Knowledge of reliability engineering, maintenance strategies, and risk modeling.

- Experience with data analysis and machine learning/KI methods.

- Strong analytical and conceptual skills.

- Independent and structured work style.

- Excellent English language skills.

- Interest in digitalization and process optimization in the energy sector.

**What We Offer:**

- Healthy and fair working conditions.

- Attractive compensation.

- Flexible working hours and overtime compensation.

- On-site restaurant.

- Occupational medical care provided by our in-house company doctor.

## Skills

### Required
- Reliability-Centered Maintenance (RCM)
- Data Analysis
- Machine Learning
- Risk Modeling
- English Language

### Nice to have
- Failure Chain Analysis
- Error Code Mapping
- Pattern Recognition

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