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    University of Skövde, link to startpage

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      University of Skövde, link to startpage

      Digitalized and optimized production planning for energy-efficient production

      Research Group Production and Automation Engineering
      Resarch Environment Virtual Engineering

      Digitalized and optimized production planning for energy-efficient production

      Research Group Production and Automation Engineering
      Resarch Environment Virtual Engineering

      Quick Facts

      Full project name

      Digitalized and optimized production planning for energy-efficient production (PREFER)

      Duration

      May 2022 – April 2025

      Funding and collaboration

      Vinnova, Daloc, Volvo

      Optimal production planning is one of the most time-consuming and challenging tasks for many production experts, especially in diverse manufacturing environments where humans, robots, and machines work independently or collaboratively. Therefore, in this Industry 4.0 era, it is crucial to equip manufacturers with a digital decision support tool to plan their production efficiently. This project aims to develop an optimization tool to assist production planners in determining the optimal production sequence and assigning tasks and resources to workstations.

      The PREFER project will significantly impact the production process by enhancing resource efficiency, robust and efficient production, and smart production planning. The outcomes of the project are expected to contribute to the competitiveness of the manufacturing industry in four main ways:

      1. Better balance at workstations which leads to an increase in production or decrease in time/cost
      2. Optimal usage of machines and robots which leads to energy saving
      3. Swift production planning with the use of a digital tool
      4. Sustainable production through improvements in energy consumption and lead time.

      The project results will contribute to improving three important KPIs: throughput, energy consumption, and production planning lead time.

      Planned approach and implementation

      The project consortium includes three partners: (i) the University of Skövde as the project coordinator and the academic partner of the project (ii) Volvo Trucks and Daloc AB as the industrial partners that will support the project by providing use cases and involvement in various project activities.

      The project has been planned for over three years and consists of five work packages, three technical and two general work packages. The technical work packages are dependent and need to be completed in sequence. The two other work packages are concerned with project coordination and dissemination. The solution and tools developed within the project will be tested and verified by industrial demonstrators.

      Publications

      2024

      Masood Fathi, Arash Sepehri, Morteza Ghobakhloo, Mohammad Iranmanesh, Ming-Lang Tsenge

      Computers & industrial engineering

      2024. Article, review. https://doi.org/10.1016/j.cie.2024.110254 Open Access

      Ehsan Mahmoodi, Masood Fathi, Madjid Tavana, Morteza Ghobakhloo, Amos H. C. Ng

      Journal of manufacturing systems

      2024. Article. https://doi.org/10.1016/j.jmsy.2023.11.019 Open Access

      2023

      Amir Nourmohammadi, Amos H. C. Ng, Masood Fathi, Janneke Vollebregt, Lars Hanson

      CIRP - Journal of Manufacturing Science and Technology

      2023. Article. https://doi.org/10.1016/j.cirpj.2023.09.002 Open Access

      Project Leader

      Associate Professor of Production Engineering

      Participating Researchers

      Prof. Nils Boysen
      Scientific Advisor
      Prof. Dalila Martins Fontes
      Scientific Advisor

      Funding and collaboration

      Volvo Group
      The Volvo Group is one of the world's leading manufacturers of trucks, buses, construction equipment and marine and industrial engines.
      Published: 5/5/2022
      Edited: 3/6/2024
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