Parts Lifecycle Intelligence Manager at Kalmar
Tampere, Länsi-Suomi, Finland -
Full Time


Start Date

Immediate

Expiry Date

26 Apr, 25

Salary

0.0

Posted On

26 Jan, 25

Experience

0 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Data Analysis, Machine Learning, Data Science, Analytical Skills, Reliability Engineering, Cmrp, Erp Software, R

Industry

Information Technology/IT

Description

Kalmar is moving goods in critical supply chains around the world, with the vision to be the forerunner in sustainable material handling equipment and services.

KEY ACCOUNTABILITIES

  • Ensure accurate and timely reporting of MTBF and reliability metrics
  • Maintain an effective obsolete parts management program
  • Achieve established goals for parts reliability and lifecycle performance
  • Foster collaboration and communication across departments to drive lifecycle initiatives
  • Provide actionable insights to reduce costs and improve operational efficiency related to parts management.
Responsibilities
  • MTBF Analysis: Develop and maintain Mean Time Between Failures (MTBF) metrics for parts. Analyse data to identify trends and implement strategies to improve Parts and Logistics impact on customer machine reliability
  • Reliability-Centred Maintenance (RCM): Lead initiatives to establish and enhance RCM processes. Collaborate with cross-functional teams to integrate RCM principles into maintenance strategies
  • Lifecycle Management Processes: Establish and document lifecycle management processes for parts, from design through obsolescence. Ensure alignment with overall product lifecycle management
  • Collaboration with Engineering: Work closely with engineering teams to provide feedback on parts design and performance. Advocate for design improvements based on lifecycle data and analytics
  • Cross-Functional Communication: Serve as a liaison between different departments to ensure alignment on parts lifecycle strategies and objectives
  • Data Analysis and Reporting: Utilise data analytics tools to generate reports on parts performance and lifecycle metrics. Present findings and recommendations to stakeholders.
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