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Optimization of the Energy Consumption for Robotic Kitting in the Automotive Industry

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Robot 2023: Sixth Iberian Robotics Conference (ROBOT 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 976))

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Abstract

This paper presents a comprehensive Integer Programming (IP) model designed to optimize the robotic kitting process in industrial automotive settings. Robotic kitting, involving the efficient assembly and preparation of kits using automated systems, plays a crucial role in modern manufacturing facilities. The proposed IP model considers various key aspects related to the cycle time, including preparation time for kit boxes on Automated Guided Vehicles (AGVs), picking time with Autonomous Mobile Robots (AMRs), image acquisition and processing time, AMR and AGV travel times, and removal time of empty component bins by AMRs. The objective is to minimize the energy consumption of AGVs in the kitting process, enhancing operational efficiency while ensuring accurate kit assembly. The formulation of the mathematical programming model allows for the consideration of flow-related activities, improving the adaptability and flexibility of the kitting process to varying order patterns. Numerical experiments demonstrate the effectiveness of the model in achieving key insights into AGVs’ energy demand, contributing to advancements in mapping this process in industrial automation and logistics.

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Acknowledgements

This research is sponsored by national funds through FCT - Fundação para a Ciência e a Tecnologia, under the project UIDB/00285/2020 and LA/P/0112/2020. Additionally, this work was funded by FEDER in the frame of COMPETE 2020 under the project POCI-01-0247-FEDER-072638.

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Authors and Affiliations

  1. University of Coimbra, CEMMPRE, ARISE, 3004-531, Coimbra, Portugal

    Mário Jorge Simões, Telmo Pinto & Cristóvão Silva

  2. Centro ALGORITMI/LASI, University of Minho, 4704-553, Braga, Portugal

    Telmo Pinto

Authors
  1. Mário Jorge Simões
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  2. Telmo Pinto
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  3. Cristóvão Silva
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Corresponding author

Correspondence to Telmo Pinto .

Editor information

Editors and Affiliations

  1. Dep. de Eng. Electrotecnica e de Computadores, University of Coimbra, Coimbra, Portugal

    Lino Marques

  2. Department of Electrónica Industrial, University of Minho, Escola de Engenharia, Guimarães, Portugal

    Cristina Santos

  3. Department of Electrical Engineering, Polytechnic Institute of Bragança, Bragança, Portugal

    José Luís Lima

  4. Centro Universitario de la Defensa, Zaragoza, Spain

    Danilo Tardioli

  5. Centre for Automation and Robotics UPM-CSIC, Universidad Politecnica de Madrid, Madrid, Spain

    Manuel Ferre

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Simões, M.J., Pinto, T., Silva, C. (2024). Optimization of the Energy Consumption for Robotic Kitting in the Automotive Industry. In: Marques, L., Santos, C., Lima, J.L., Tardioli, D., Ferre, M. (eds) Robot 2023: Sixth Iberian Robotics Conference. ROBOT 2023. Lecture Notes in Networks and Systems, vol 976. Springer, Cham. https://doi.org/10.1007/978-3-031-58676-7_39

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