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An optimal algorithm for the robotic assembly system design problem: An industrial case study

  • Published:2020-11 Issue: Volume:31 Page:500-513
  • ISSN:1755-5817
  • Container-title:CIRP Journal of Manufacturing Science and Technology
  • language:en
  • Short-container-title:CIRP Journal of Manufacturing Science and Technology

Author:

Hagemann Simon,Stark Rainer

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering

Reference36 articles.

1. Multi criteria assembly line design and configuration – an automotive case study;Michalos;CIRP J Manuf Sci Technol,2015

2. Digitale Fabrik: Methoden und Praxisbeispiele, VDI-Buch;Bracht,2011

3. Automated body-in-white production system design. Data-based generation of production system configurations;Hagemann,2018

4. Konzepte und Anwendungsfälle für die intelligente Fabrik;Niggemann,2014

5. Systemkomplexität in der Automation beherrschen, atp edition;Jasperneite,2012

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1. Machine Learning Approach for Early Assembly Design Cost Estimation: A Case from Make-to-Order Manufacturing Industry;International Journal of Technology;2024-07-10

2. Robotic assembly systems planning and scheduling problems: A review;INT J IND ENG COMP;2024

3. Evaluation of process planning in manufacturing by a neural network based on an energy definition of hopfield nets;Journal of Intelligent Manufacturing;2023-06-27

4. Creating a 6-Axis Robot for Enhanced Assembly Line Safety in Automotive Manufacturing;2023 3rd International Conference on Pervasive Computing and Social Networking (ICPCSN);2023-06

5. A New IT Architecture for the Digital Factory;Advances in Automotive Production Technology – Towards Software-Defined Manufacturing and Resilient Supply Chains;2023
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