User-Friendly MES Interfaces: Recommendations for an AI-Based Chatbot Assistance in Industry 4.0 Shop Floors

  • Soujanya MantravadiEmail author
  • Andreas Dyrøy Jansson
  • Charles Møller
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 12034)


The purpose of this paper is to study an Industry 4.0 scenario of ‘technical assistance’ and use manufacturing execution systems (MES) to address the need for easy information extraction on the shop floor. We identify specific requirements for a user-friendly MES interface to develop (and test) an approach for technical assistance and introduce a chatbot with a prediction system as an interface layer for MES. The chatbot is aimed at production coordination by assisting the shop floor workforce and learn from their inputs, thus acting as an intelligent assistant. We programmed a prototype chatbot as a proof of concept, where the new interface layer provided live updates related to production in natural language and added predictive power to MES. The results indicate that the chatbot interface for MES is beneficial to the shop floor workforce and provides easy information extraction, compared to the traditional search techniques. The paper contributes to the manufacturing information systems field and demonstrates a human-AI collaboration system in a factory. In particular, this paper recommends the manner in which MES based technical assistance systems can be developed for the purpose of easy information retrieval.


AI applications Manufacturing Chatbot 



This research work is partially funded by the Manufacturing Academy of Denmark. The authors would like to thank the informants from the companies for sharing their knowledge.


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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Materials and ProductionAalborg UniversityAalborgDenmark
  2. 2.Department of Computer Science and Computational EngineeringUiT – Arctic University of NorwayNarvikNorway

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