AI-Enhanced Production Planning: Digitalization Thesis

Volvo Construction Equipment

Eskilstuna kommun

Presencial

SEK 201.000 - 268.000

Jornada completa

Hace 5 días
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Descripción de la vacante

Volvo Construction Equipment Eskilstuna is seeking a Master’s thesis student to explore a future-state concept for production planning. You will map current processes, identify AI-enabled improvements, and define the future role and ways of working for planners.

The project aims to reduce manual work, enable proactive decisions, and provide a roadmap toward a digitalized planning approach. Start date is 18 Januari, 2027, with on-site placement preferred.

Formación

  • Master's student in a relevant field focusing on production planning.
  • Proficient in English; able to communicate in writing and speaking.
  • Interest in digitalization, AI, and data-driven decision support.
  • Ability to map, analyze and improve processes and workflows.
  • Strong analytical and problem-solving mindset.

Responsabilidades

  • Map the current production planning process and decision points.
  • Identify activities that AI/digitalization could support or automate.
  • Explore AI for scenario analysis and risk identification.
  • Define the future role and working methods for production planners.
  • Identify gaps between current and desired future state.
  • Develop an actionable A3 describing the future state and roadmap.

Conocimientos

Industrial Engineering and Management
Production Development
Supply Chain Management
Logistics
Data Science / AI
Other relevant backgrounds

Descripción del empleo

Volvo Construction Equipment Eskilstuna is seeking a Master’s thesis student to explore a future-state concept for production planning. You will map current processes, identify AI-enabled improvements, and define the future role and ways of working for planners.

The project aims to reduce manual work, enable proactive decisions, and provide a roadmap toward a digitalized planning approach. Start date is 18 Januari, 2027, with on-site placement preferred.

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