-------- Weitergeleitete Nachricht -------- Betreff: [AISWorld] FW: AMCIS2017 - Workshop on Smart Manufacturing CALL FOR ABSTRACTS Datum: Wed, 12 Jul 2017 11:03:48 +0000 Von: Nikolai Kazantsev nikolai.kazantsev@postgrad.manchester.ac.uk An: aisworld@lists.aisnet.org aisworld@lists.aisnet.org
**** Apologies for multiple copies due to cross-posting **** *** Please forward to colleagues who might be interested ***
AMCIS 2017 - Workshop on Smart Manufacturing / B2B Collaboration / Industry 4.0 / Cyber-physical systems - CALL FOR ABSTRACTS
Dear colleagues,
please consider sending an extended abstract on Smart Manufacturing/Industrial IoT (Industry 4.0) related topics for a specialized workshop during AMCIS 2017.
This is the second workshop of the newly established SIG, that comprises now more than 100 academic and industrial specialists in Big Data, Internet of Things and Industry 4.0. We aim to bring industrial experience from aerospace and automotive sectors to the AIS community. The main Industry 4.0 project highlighted during the event will be DIGICOR - ( Decentralised Agile Coordination Across Supply Chains - http://www.digicor-project.eu/)
On behalf of the workshop organizational committee, Nikolai Kazantsev
--- CALL FOR EXTENDED ABSTRACTS: Smart Manufacturing in aerospace and automotive industries
2nd Workshop of the AIS Special Interest Group for Big Data application in processes During AMCIS 2017, Boston, USA
The Association for Information Systems (AIS) presents the Americas Conference on Information Systems (AMCIS), one of the main information systems research conferences in the world, and a leading conference in the Americas Region. AMCIS 2017 theme, A Tradition of Innovation, features research that present novel additions to methodological or theoretical directions to previous IS knowledge and tackles challenges arising from emerging technologies.
Smart Manufacturing is the dramatically intensified and pervasive application of networked information-based technologies throughout the manufacturing and supply chain enterprise[1]. Smart manufacturing companies of today operate in an environment of global supply chain and hyper-competitive strategies demanding rapid change, yet the IT support systems are generally local rather than global and rigid rather than flexible. IT support thus fails to support both the necessary level of coordination across partners in the global supply chain and the rapid speed of change typical for hyper-competition.
The workshop on the academic and practical cases of Big Data Application in Manufacturing will be mainly oriented towards Smart Manufacturing in aerospace and automotive industries. The objective of the workshop is to build a dynamic community for open and constructive discussions and exchange of academic and industrial experience for Big Data and Industry 4.0 researchers on topics:
1. Smart collaborative manufacturing and logistics
2. Industry 4.0 and factory automation
3. Knowledge protection in collaborative infrastructures
4. Cyber-physical systems towards the factory of the future
The workshop will be accepting extended abstracts from research-in-progress and industry case studies/reports. Additionally, the workshop will be accepting novel, early and creative research ideas as posters:
1st Round Abstract submission due: Jul 7th, 2017 (passed)
1st Notification of acceptance: Jul 11th, 2017 (passed)
2nd Round Abstract submission due: Jul 27th, 2017
2nd Notification of acceptance: Aug 7th, 2017
Workshop date: Aug 11th, 2017, 6:30 PM - 10:30 PM
Publications
All accepted papers will be indexed in the AIS Library. The Authors of the best papers will be invited to Scopus Q1 indexed Journal (TBC).
Submit your abstract now!
https://easychair.org/conferences/?conf=sigbda2017
Organizing Committee
Prof. Dr. Nikolay Mehandjiev, The University of Manchester
Prof. Dr. Svetlana Maltseva, National Research University "Higher School of Economics"
Dr. Dr. Mikhail Komarov, National Research University "Higher School of Economics"
Dr. Pedro Sampaio, The University of Manchester
Nikolay Kazantsev, The University of Manchester
Sonia Cisneros-Cabrera, The University of Manchester
Dr. Asia Ramzan, Aston University
Maria Fay, University of Liechtenstein
Co-Sponsored by
Special Interest Group (SIG) of Big Data Applications (http://aisnet.org/members/group.aspx?code=SIGBD)
Decentralised Agile Coordination Across Supply Chains (DIGICOR) Project (http://www.digicor-project.eu/)
The Alliance Manchester Business School, The University of Manchester (https://www.mbs.ac.uk/)
Submit your abstract now!
https://easychair.org/conferences/?conf=sigbda2017
For further information please contact Mr. Nikolay Kazantsev, via e-mail: sigbdworkshop@gmail.com
[1] Davis, J., Edgar, T., Porter, J., Bernaden, J., & Sarli, M. (2012). Smart manufacturing, manufacturing intelligence and demand-dynamic performance. Computers & Chemical Engineering, 47, 145-156.
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