TY - GEN
T1 - User-Friendly MES Interfaces
T2 - 12th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2020
AU - Mantravadi, Soujanya
AU - Jansson, Andreas Dyrøy
AU - Møller, Charles
PY - 2020/1/1
Y1 - 2020/1/1
N2 - 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.
AB - 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.
KW - AI applications
KW - Chatbot
KW - Manufacturing
UR - http://www.scopus.com/inward/record.url?scp=85082394232&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-42058-1_16
DO - 10.1007/978-3-030-42058-1_16
M3 - Article in proceeding
AN - SCOPUS:85082394232
SN - 978-3-030-42057-4
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 189
EP - 201
BT - Intelligent Information and Database Systems
A2 - Nguyen, Ngoc Thanh
A2 - Trawinski, Bogdan
A2 - Jearanaitanakij, Kietikul
A2 - Chittayasothorn, Suphamit
A2 - Selamat, Ali
PB - Springer
Y2 - 23 March 2020 through 26 March 2020
ER -