Professor Ashutosh Tiwari
Airbus / RAEng Research Chair in Digitisation for Manufacturing
Professor Ashutosh Tiwari PhD CEng FIMechE FIET FHEA
Department of Automatic Control and Systems Engineering (ACSE)
University of Sheffield
Sheffield, S1 3JD
Tel: +44 (0)114 2225624
Professor Ashutosh Tiwari is Airbus/RAEng Research Chair in Digitisation for Manufacturing at the University of Sheffield. The vision of his research is to develop a digitised factory that requires no setups for manufacturing part variants (zero-setup) and no measurements on parts for ensuring quality (zero-measurement). Over the last eighteen years, he has developed three novel internationally recognised research themes to achieve this vision: (i) Digitisation of skill-intensive manufacturing processes, such as wing manufacture and engine assembly. His research is one of the first to focus on simultaneous digitisation of human actions and their impact on workpieces. (ii) Multi-level optimisation of manufacturing processes. He has developed new techniques for optimising the parameters of a manufacturing process at various levels (machine, multi-machine sequence, assembly and manufacturing system). (iii) Real-time simulation of manufacturing processes. His research has introduced the use of live shopfloor data to update factory simulation models in real-time.
Research track record
Professor Tiwari has developed a strong research track record by leading (as principal investigator) 8 Engineering and Physical Sciences Research Council (EPSRC) projects, 5 Innovate UK projects, 3 projects funded by EPSRC Centres for Innovative Manufacturing, 5 Knowledge Transfer Partnership (KTP) projects, a Low Carbon KEEP project, 32 PhD/EngD studentships and several MSc projects with industry. He currently holds an EPSRC High Value Manufacturing Catapult Fellowship and is a co-investigator of the EPSRC Platform Grant on Through-life Performance. He has successfully completed the supervision of 32 PhD/EngD theses, 15 MSc by Research and MPhil theses, and 89 MSc theses. He has secured around £5.5m of research funding in cash (as principal investigator) from Government grants (UK and overseas) and industry. He has also developed strong research collaborations with a number of companies including Airbus, BAE Systems, GE, Edwards, Dathan Tools, Jaguar Land Rover, Nissan, Toyota, Honda, Cosworth, Arup, Housing 21 and BT. He has produced 295 research publications including 125 refereed journal papers, 117 refereed conference papers and 53 book chapters, edited books, workshop papers, research reports and magazine articles. He is a Visiting Professor at Cranfield University where he was Professor of Manufacturing Informatics and Head of the Manufacturing Informatics Centre, prior to joining the University of Sheffield.
|Research grants (principal investigator)||
Principal Investigator of Airbus/RAEng Research Chair (2017-22) on ‘Digitisation for Zero-Setup and Zero-Measurement Manufacturing (Di-Zero)’. Industrial Sponsor: Airbus.
Principal Investigator of EPSRC High Value Manufacturing Catapult Fellowship (EP/L017121, 2016-19) on ‘Human Interventions in Autonomous Manufacturing: Digitisation and Learning’. Industrial Sponsor: Manufacturing Technology Centre (MTC).
Principal Investigator of Feasibility Study Research Project on ‘Digital Re-Distributed Manufacturing (RDM) Studio’, funded by the EPSRC-ESRC Network in Consumer Goods, Big Data and Re-Distributed Manufacturing (RECODE, EP/M017567, 2016-17).
Principal Investigator of EPSRC (EP/M506813, 2014-17) and Innovate UK Project (TSB241247) on ‘Towards Zero Prototyping of Factory Layouts and Operations Using Novel Gaming and Immersive Technologies’. Consortium: GE (lead), Lanner Group Limited and Cranfield University.
Principal Investigator of EPSRC Impact Acceleration Award (IAA) Grant (IAA-CRA, 2016-17) on ‘Self-healing Technologies for Mechanical and Electrical Systems’. Industrial Sponsor: GE.
UK Lead of the Royal Academy of Engineering (RAEng) Newton-Bhabha Fund Project (2016-18) on ‘Faculty Competency and Student Engagement for Industry Related Problems’. Indian Partner: NMIMS.
Academic Lead of Innovate UK Collaborative Research and Development Project (TSB254253, 2014-16) on ‘Real-time Remote Collaboration Platform Using Kinect™’. Consortium: Jaguar Land Rover Limited (lead), Holovis International Limited and Cranfield University.
Academic Lead of Advanced Manufacturing Supply Chain Initiative (AMSCI) Project (AMSCI233554, 2014-17) on ‘Flexible Manufacturing Systems through Supply Chain Initiative’. Consortium: Cosworth (lead), Flexeye and Cranfield University.
Principal Investigator of Feasibility Study Research Project on ‘Use of Gaming Interface Technology for Decision-Making in Intelligent Automation Systems’, funded by the EPSRC Centre for Innovative Manufacturing in Intelligent Automation (EP/I033467, 2014-15).
Principal Investigator at Cranfield University for EPSRC Research Project (EP/K026348) on ‘Efficient Cross-sector Use of Heterogeneous Materials in Manufacturing’. Consortium: University of Birmingham (lead), Cranfield University, University of Exeter and University of Manchester. Industrial Sponsors: EADS UK Limited, EnginSoft UK, Kirton Kayaks, Lanner Group, Meggitt Aircraft Braking Systems, National Composites Centre, Technology Strategy Board (TSB) and TWI Limited.
Principal Investigator of Feasibility Study Research Project on ‘Intelligent Composite Lay-up by the Application of Discrete Technologies’, funded by the EPSRC Centre for Innovative Manufacturing in Composites (EP/I033513, 2013-14). Consortium: Cranfield University (lead) and University of Bristol.
Academic Lead of Innovate UK Collaborative Research and Development Project (TSB120193, 2012-15) on ‘Using Gaming Technology to Digitise Complex Manufacturing Process Knowledge’. Consortium: EADS UK Limited (lead), AERTEC Solutions and Cranfield University.
Academic Lead of Innovate UK Collaborative Research and Development Project (TSB101149, 2012-14) on ‘Kinect™-based Platform for Engaging Older Population in the Assessment of Purpose-built Facilities and Services’. Consortium: Housing 21 (lead), EnginSoft UK and Cranfield University.
Principal Investigator of Engineering and Physical Sciences Research Council (EPSRC) Project (EP/I006087, 2011-12) on ‘A Discrete Event Simulator for Modelling Support Services in an Engineering Environment’. Industrial Sponsors: Lanner Group Limited and Cranfield-Boeing Integrated Vehicle Health Management (IVHM) Centre of Excellence.
Principal Investigator of Low Carbon KEEP (Knowledge-East of England-Partners) Project (CRAN-JEB-KEEP, 2011–12) on ‘Optimisation of Medical Device Development Process’. Industrial Sponsor: JEB Engineering Design Limited.
Principal Investigator at Cranfield University for Research Project on ‘Self-healing Technologies for Electronic and Mechanical Components and Subsystems’, funded by the EPSRC Centre for Innovative Manufacturing in Through-life Engineering Services (EP/I033246, 2011-14).
Principal Investigator of EPSRC Project (EP/H006826, 2010-11) on ‘A Web Business Process Optimiser’.
|Research grants (co-investigator)||
Co-investigator of EPSRC Platform Grant (EP/P027121, 2017-22) on ‘Through-Life Performance: From Science to Instrumentation’. Industrial Sponsors: Rolls-Royce, Bombardier Transportation, Soil Machine Dynamics, Network Rail, High Value Manufacturing (HVM) Catapult and XP School.
Co-investigator of Feasibility Study Research Project on ‘Circular 4.0: Digital Intelligence to Enable a Circular Economy’, funded by Network Plus: Industrial Systems in the Digital Age (EP/P001246, 2017-18).
Co-investigator of EPSRC Network Project (EP/M017567, 2015-17) on ‘RECODE: Consumer Goods, Big Data and Re-Distributed Manufacturing’. Industrial Sponsors: Beijing Institute of Technology, Cisco Systems UK, Dragon Rouge Limited, EEF, Ellen Macarthur Foundation, Fraunhofer Institut, Georgia Institute of Technology, Greater Manchester Chamber of Commerce, IBM, Interoute, Teesside University, University of Cambridge, University of Exeter and WRAP.
Co-investigator of EPSRC Research Project (EP/J011630, 2013-17 ) on ‘Integrated Through-Life Support for High-Value Systems’. Industrial Sponsors: Network Rail, Schlumberger, BAE Systems, National Nuclear Laboratory, UK Space Agency, Sellafield and SciSys.
Co-investigator of Advanced Manufacturing Supply Chain Initiative (AMSCI) Project (AMSCI151410, 2013-15) on ‘Manufacturing Process Guidelines’. Consortium: Composites Innovation Cluster (25 organisations).
Co-investigator and Executive Committee Member of the EPSRC Centre for Innovative Manufacturing in Through-life Engineering Services (EP/I033246, 2011-16). Core Industrial Sponsors: Rolls-Royce, Bombardier, BAE Systems and Ministry of Defence.
|Completed PhD/EngD theses supervision||
|Professional activities and recognition||
Professor Tiwari is a fellow of the IMechE, a fellow of the IET, a member of the EPSRC Peer Review College, a fellow of the Higher Education Academy, treasurer of the World Federation on Soft Computing (WFSC), steering committee member of the NAFEMS Optimisation Working Group, and a member of the Digital for Industry Leadership Group (D4I). He is an associate editor of the International Journal of Design Engineering, a survey/review article editor of the Applied Soft Computing Journal, and an editorial board member of the IMechE Journal of Engineering Manufacture. He was the programme chair of CIRP TESConf-2013, finance chair of CIRP Design-2009, general chair of WSC10-2005 and special sessions chair of IEEE CEC-2005. In 2016-17, he has delivered keynote lectures at the International Conference on Manufacturing Research (ICMR) and the NAFEMS European Conference on Simulation-based Optimisation. In 2015, he was invited by the RAEng to be part of the UK delegation to India to present at a workshop on RAEng Newton Fund: Industry-Academia Linkages. He was also invited by the RAEng and the IET to participate in Connecting Data - Manufacturing Sector Workshop in 2015.
Ab Rashid, M.F.F., Hutabarat, W. and Tiwari, A. (2017). Multi-objective discrete particle swarm optimisation algorithm for integrated assembly sequence planning and assembly line balancing. Proceedings of the Institution of Mechanical Engineers (IMechE), Part B, Journal of Engineering Manufacture, IMechE, ISSN: 0954-4054, Accepted for publication, DOI: 10.1177/0954405416673095.
Brintrup, A., Barros, J. and Tiwari, A. (2017). The nested structure of emergent supply networks. IEEE Systems Journal, IEEE, ISSN: 1932-8184, Accepted for publication, DOI: 10.1109/JSYST.2015.2493345.
Astwood, S., Krishnamurthy, K. and Tiwari, A. (2017). A strategy to analyse a composite design to improve automated production speeds. Proceedings of the Institution of Mechanical Engineers (IMechE), Part B, Journal of Engineering Manufacture, IMechE, ISSN: 0954-4054, Accepted for publication, DOI: 10.1177/0954405416660996.
Prabhu, V., Muhandri, N., Song, B. and Tiwari, A. (2017). Decision support system enabled by depth imaging sensor data for intelligent automation of moving assemblies. Proceedings of the Institution of Mechanical Engineers (IMechE), Part B, Journal of Engineering Manufacture, IMechE, ISSN: 0954-4054, Accepted for publication, DOI: 10.1177/0954405416645984.
Brintrup, A., Wang, Y. and Tiwari, A. (2017). Supply networks as complex systems: A network-science-based characterization. IEEE Systems Journal, IEEE, ISSN: 1932-8184, Accepted for publication, DOI: 10.1109/JSYST.2015.2425137.
Prabhu, V., Elkington, M., Ward, C. and Tiwari, A. (2017). Digitisation of manual composite layup task knowledge using gaming technology. Composites Part B, Elsevier, vol. 112, 314-326, ISSN: 1359-8368.
Bell, C., Farnsworth, M., Knowles, J. and Tiwari, A. (2017). Self-repairing design process applied to a 4-bar linkage mechanism. Proceedings of the Institution of Mechanical Engineers (IMechE), Part B, Journal of Engineering Manufacture, IMechE, vol. 231(13), 2291–2301, ISSN: 0954-4054.
Quintana Amate, S., Tiwari, A. and Turner, C. (2017). A new knowledge sourcing framework for knowledge-based engineering: An aerospace industry case study. Computers & Industrial Engineering, Elsevier, vol. 104, 35-50, ISSN: 0360-8352.
Panikowska, K., Tiwari, A., Alcock, J. and Turner, C. (2017). Guidelines for the service-oriented design of microfluidic devices. International Journal of Design Engineering, Inderscience Publishers, vol. 6(4), 281–308, ISSN: 1751-5874.
Farnsworth, M., Tiwari, A. and Zhu, M. (2017). Multi-level and multi-objective design optimisation of a MEMS bandpass filter. Applied Soft Computing, Elsevier, vol. 52, 642-656, ISSN: 1568-4946.
Alrabghi, A., Tiwari, A. and Savill, M. (2017). Simulation-based optimisation of maintenance systems: Industrial case studies. Journal of Manufacturing Systems, Elsevier, vol. 44, 191-206, ISSN: 0278-6125.
Gonzalez-Franco, M., Pizarro, R., Cermeron, J., Li, K., Thorn, J., Hutabarat, W., Tiwari, A. and Bermell, P. (2017). Immersive mixed reality training for complex manufacturing scenarios. Frontiers in Robotics and AI, Frontiers Publishers, vol. 4(3), 16 February 2017, doi.org/10.3389/frobt.2017.00003, ISSN: 2296-9144.
Daniel Ani, U.P., He, H. and Tiwari, A. (2017). Review of cybersecurity issues in industrial critical infrastructure: Manufacturing in perspective. Journal of Cyber Security Technology, Taylor & Francis, vol. 1(1), 32-74, ISSN: 2374-2917.
Hu, L., Peng, C., Evans, S., Peng, T., Liu, Y., Tang, R. and Tiwari, A. (2017). Minimising the machining energy consumption of a machine tool by sequencing the features of a part. Energy, Elsevier, vol. 121, 292-305, ISSN: 0360-5442.
Prajapat, N. and Tiwari, A. (2017). A review of assembly optimisation applications using discrete event simulation. International Journal of Computer Integrated Manufacturing, Taylor and Francis, vol. 30, issue 2-3, 215-228, ISSN: 0951-192X.
Liu, Y., Farnsworth, M. and Tiwari, A. (2017). A review of optimisation techniques used in the composite recycling area: State-of-the-art and steps towards a research agenda. Journal of Cleaner Production, Elsevier, vol. 140, part 3, 1775–1781, ISSN: 0959-6526.
Turner, C., Thoppur Ravi, P., Tiwari, A., Starr, A. and Blacktop, K. (2017). A software architecture for autonomous maintenance scheduling: Scenarios for UK and European rail. International Journal of Transport Development and Integration, WIT Press, vol. 1, issue 3, 371-381, ISSN: 2058-8305.
Srai, J.S., Kumar, M., Graham, G., Phillips, W., Tooze, J., Ford, S., Beecher, P., Raj, B., Gregory, M., Tiwari, M.K., Ravi, B., Neely, A., Shankar, R., Charnley, F. and Tiwari, A. (2016). Distributed manufacturing: Scope, challenges and opportunities. International Journal of Production Research, Taylor and Francis, vol. 54, issue 23, 6917-6935, ISSN: 0020-7543.
Turner, C., Hutabarat, W., Oyekan, J. and Tiwari, A. (2016). Discrete event simulation and virtual reality use in industry: A review of literature. IEEE Transactions on Human-Machine Systems, IEEE, vol. 46, issue 6, 882–894, ISSN: 2168-2291.
Oyekan, J., Prabhu, V., Baskaran, V., Burgess, M., Mcnally, R. and Tiwari, A, (2016). Remote real-time collaboration through synchronous exchange of digitised human-workpiece interactions. Future Generation Computer Systems, Elsevier, vol. 67, 83–93, ISSN: 0167739X.
Alrabghi, A. and Tiwari, A. (2016). A novel approach for modelling complex maintenance systems using discrete event simulation. Reliability Engineering and System Safety, Elsevier, vol. 154, 160–170, ISSN: 0951-8320.
Li, K., Tiwari, A., Alcock, J. and Bermell-Garcia, P. (2016). Categorisation of visualisation methods to support the design of human-computer interaction systems. Applied Ergonomics, Elsevier, vol. 55, 85–107, ISSN: 0003-6870.
Rybicka, J., Tiwari, A. and Leeke, G.A. (2016). Technology readiness level assessment of composites recycling technologies. Journal of Cleaner Production, Elsevier, vol. 112, part 1, 1001–1012, ISSN: 0959-6526.
For a complete list of Journal Articles, see Google Scholar.