Research Interests

Professional Affiliations

Publications

 

Background

Duncan McFarlane is Professor of Industrial Information Engineering at the Cambridge University Engineering Department, fellow of St John's College and head of the Distributed Information & Automation Laboratory within the Institute for Manufacturing. His work involves the development of manufacturing automation and control systems and more broadly the use of digital systems across the industrial supply chain.  His current research work is mainly focused on distributed, intelligent industrial automation, low-cost approaches to digital industrial solutions, resilient and reconfigurable systems in manufacturing and logistics. Previous work has also examined issues relating to RFID integration, track and trace systems, valuing industrial information, and information solutions supporting industrial services. 

 

Prof McFarlane completed a BEng degree at Melbourne University in 1984, a PhD in the design of robust control systems at Cambridge in 1988, and worked industrially with BHP Australia in engineering and research roles between 1980 and 1994. Prof McFarlane joined the Department of Engineering at Cambridge in 1995 as a lecturer in Industrial Automation Systems. He was appointed Professor of Service and Support Engineering between 2006 and 2011 which was supported by both Royal Academy of Engineering and BAE Systems. From October 2011, he became Professor of Industrial Information Engineering at Cambridge.

 

Between 2000 and 2003 he was the European Research Director of the Auto-ID Center. From 2001-2011 he was a co-investigator in the EPSRC funded Innovative Manufacturing Research Centre based in the Institute for Manufacturing. In 2004, he became head of the Cambridge Auto ID Lab (2014-2021) and co founded a series of programmes on information in the aerospace sector including the Aero ID Programme, examining the role of RFID in the aerospace industry.  Professor McFarlane is also Co-Founder and Chairman of RedBite Solutions Ltd (2006) - an industrial RFID and track & trace solutions company.  Prof. McFarlane is was a member of the executive team for the Centre for Smart Infrastructure and Construction, between 2011-17, lead of the Boeing-Cambridge partnership (2017-22) and co-investigator on the Made Smarter Connected Factories Centre (2021-). 

 

From March to July 2020 he led a team which won the RAE Presidents Award for providing Industrial Engineering support to local hospitals managing the Covid-19 Epidemic and from September 2020 to July 2021 was Operations Logistics lead at Cambridge University for its Asymptomatic Covid-19 Student Testing Programme.

 

Prof McFarlane is the lead on the Digital Manufacturing on a Shoestring programme which is investigating how low-cost, readily available digital technologies can be implemented to support growth and productivity in small and medium-sized enterprises (SMEs). The project addressed the common concern that many digital manufacturing solutions are designed for large companies and is now being applied in different regions in the UK and internationally.

 

Research interests

• distributed, intelligent industrial automation,
• low-cost approaches to digital industrial solutions,
• resilient and reconfigurable systems in manufacturing and logistics,
• RFID integration,
• track & trace systems, 
• valuing industrial information, and
• information solutions supporting industrial and healthcare services

Professional affiliations (recent only)

• 2022 - present: OECD International Review Panel on Automation
• 2011 -  present: Steering Board, Cambridge Centre for Smart Construction and Infrastructure (CSIC)
• 2017 - present:   Cambridge Lead, Boeing – Cambridge Research Programme
• 2016 - present: Steering Board: EPSRC Network - Connected Everything
• 2016 - present: Editorial Board, Computers in Industry
• 2016 - present: committee member ATI Market and Economic Advisory Group
• 2016 - present: programme committee, Service Orientation in Holonic and Multi-Agent Manufacturing
• 2015 - present: Member IFAC Technical Committee -5.1 Manufacturing Plant Control
• 2016 - present: EPSRC Expert Review Panel
• 2020 - 2022: Member Joint Universities Expert Panel on Covid Testing
• 2020 - 2021: Logistics Lead, Cambridge University COVID-19 Asymptomatic Student Testing Programme
• 2021 - 2022: OECD International Expert Panel on Task Automatability
• 2017 - 2022: Research Expert panel – Digital Build Britain
• 2018: workshop chairman – Industrial IoT Workshop, IFM Cambridge
• 2017 - 2018: UK Government "Digital 4 Industry" Panel
•  (SOHOMA) Workshop Series
• 2011 - 2016: Chairman, Academic Advisory Board, Cambridge Service Alliance
• 2016: Programme Committee, CSIC International Conference, Cambridge, July
• 2015: Chair, Sohoma’15, Workshop on Service Orientation in Holonic and Multi-Agent Manufacturing, St John’s College, Cambridge
• 2015: Co Chair, Special Track on Industrial Automation, IEEE INDIN, Cambridge
• 2014: Chairman of “Airports 2025” Workshop for the European Aviation Industry, Cambridge, May
• 2014: Organiser of industrial workshop series “Futureproofing of Construction & Infrastructure”, Cambridge, Jan-April.
• 2013: Member of Crossrail BIM Industry Panel
• 2012: Chairman and Organiser, Cambridge Workshop on Product Intelligence, September, 2012
• 2012: Chairman, Cambridge Service Alliance, Industrial Forum, Cambridge, September, 2012
• 2012: Academic Review Panel, Siemens Research & Development, USA.
• 2012: International Programme Committee, INCOM 2012, Bucharest, May, 2012

 

Books and Journal Publications by topic

 For a full list of publications please click here to visit my Google Scholar page.

 

Alternatively please see below a selection of featured publications by subject area.

 

Low Cost Approach to Industrial Digital Solutions and Industry 4.0

Industrial & Healthcare Logistics & Smart Construction

Distributed, Intelligent Automation in Manufacturing

Industrial Resilience, Reconfigurability & Responsiveness

Industrial Application, Integration and Adoption Of RFID

Service & Support Engineering

Robust Control System Design

Steel Mill Control

Societal Issues in Automation

 

 

Low Cost Approach to Industrial Digital Solutions and Industry 4.0

 

McFarlane, D. et al. (2024) "Progress Towards Low-Cost Industrial Digitalisation for SMEs", 18th IFAC Symposium on Information Control Problems in Manufacturing (INCOM 2024), Vienna, Austria, August

Kaiser, J. et al. (2024) "Effective Integration of Low-Cost Digital Manufacturing Systems: A Reference Architecture Driven Approach", International Journal of Computer Integrated Manufacturing

Abdel-Aty, T. et al. (2024) "The Role of Low-Cost Digital Solutions in Supporting Industrial Sustainability", Sustainability, 16(3)

McFarlane, D. et al. (2023) "Evaluation of Industrial Pilots of Low-Cost Digital (Shoestring) Solutions", 13^th International Workshop on Service Orientation in Holonic and Multi-Agent Manufacturing and Robotics (SOHOMA ’23), Annecy, France, September

Ling, Z. et al. (2023) "Enhancing Digital Manufacturing with Affordable Vision Systems: Exploring Low-Cost Applications", Low-Cost Digital Solutions for Industrial Automation (LoDiSA 2023), Cambridge, UK, September

Yilmaz, G. et al. (2023) "Cost-Effective Digital Transformation of SMEs Through Low-Cost Digital Solutions", Low-Cost Digital Solutions for Industrial Automation (LoDiSA 2023), Cambridge, UK, September

Mukherjee, A. et al. (2023) "Analytics on a Shoestring: Evolving the Requirements", Low-Cost Digital Solutions for Industrial Automation (LoDiSA 2023), Cambridge, UK, September

Kaiser, J. et al. (2023) "Evaluating the Effectiveness of Designs for Low-Cost Digital Manufacturing Systems", Applied Sciences, 13(23)

Yilmaz, G. et al. (2023) "Low-Cost (Shoestring) Digital Solution Areas for Enabling Digitalisation in Construction SMEs", Computers in Industry, 150

Kaiser, J. et al. (2022) "A Low-cost Integration Approach for Distributed Manufacturing Information Systems", IEEE 5th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC), Chongqing, China, December

Kaiser, J. et al. (2022) "Configurable Solutions for Low-Cost Digital Manufacturing: a Building Block Approach", 27^th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Stuttgart, Germany, September

Macias-Aguayo, J. et al. (2022) "The Role of Low-Cost Digitalisation in Improving Operations Management", 12^th International Workshop on Service Orientation in Holonic and Multi-Agent Manufacturing and Robotics (SOHOMA ’22), Bucharest, Romania, September

Yilmaz, G. et al. (2022) "Impact Assessment Model for Low Cost (Shoestring) Digitalisation in Small Construction Organizations", CIB W78 Information Technology for Construction 39th Conference, Melbourne, Australia, June

Terrazas, G. et al. (2022) "Hackathons to Accelerate the Development of Low-Cost Digital Solutions", Journal of Computer Information Systems, 63(5), pp. 1124-1138

Macias-Aguayo, J. et al. (2022) "A Catalogue of Digital Solution Areas for Logistics SMEs", IFAC-PapersOnLine, 55(10), pp. 1828-1833

McFarlane, D. et al. (2022) "Digitalisation for SME Manufacturers: A Framework and a Low-Cost Approach", IFAC-PapersOnLine, 55(2), pp. 414-419

Tortorella, G.L. et al. (2022) "Contributions of Healthcare 4.0 digital applications to the resilience of healthcare organizations during the COVID-19 outbreak", Technovation: The International Journal of Technological Innovation, Entrepreneurship and Technology Management, 111

Terrazas, G. et al. (2021) "Student Hackathons for Low Cost Digital Solutions", 2021 International Conference on Computational Science and Computational Intelligence (CSCI 2021), Las Vegas, USA, December

Hawkridge, G. et al. (2021) "Designing Shoestring Solutions: An Approach for Designing Low-Cost Digital Solutions for Manufacturing", 11^th International Workshop on Service Orientation in Holonic and Multi-Agent Manufacturing and Robotics (SOHOMA ’21), Cluny, France, November

Ling, Z. et al. (2021) "A Graphical Environment to Support the Development of Affordable Digital Manufacturing Solutions", 11^th International Workshop on Service Orientation in Holonic and Multi-Agent Manufacturing and Robotics (SOHOMA ’21), Cluny, France, November

Kaiser J, et al. (2021) "Towards Low-Cost Machine Learning Solutions for Manufacturing SMEs", AI and Society, 38, pp. 2659-2665

Tortorella, G. et al. (2021) "What does Operational Excellence mean in the Fourth Industrial Revolution era", International Journal of Production Research, 60(9), pp. 2901-2917

Hawkridge, G. et al. (2021) "Monitoring on a shoestring: Low cost solutions for digital manufacturing", Annual Reviews in Control, 51, pp. 374-391

Schönfuß, B. et al. (2021) "A catalogue of digital solution areas for prioritising the needs of manufacturing SMEs", Computers in Industry, 133

Warne, B. et al. (2021) "Feasibility and efficacy of mass testing for SARS-CoV-2 in a UK university using swab pooling and PCR", Research Square2021

Kaiser, J. et al. (2021) "Towards low-cost machine learning solutions for manufacturing SMEs", AI and Society, 38, pp. 2659-2665

Köbnick, P., Velu, C. and McFarlane, D. (2020) "Preparing for industry 4.0: Digital business model innovation in the food and beverage industry", International Journal of Mechatronics and Manufacturing Systems, 13(1), pp. 59a-89

 

Industrial & Healthcare Logistics & Smart Construction

Moretti, N. et al. (2023) "Low-Cost Digitalisation Opportunities in Healthcare: A Histopathology Department Case Study", Low-Cost Digital Solutions for Industrial Automation (LoDiSA 2023), Cambridge, UK, September

Dhada, M. et al. (2023) "Low-Cost Very Narrow Aisle Pallet Racking Vehicle Utilisation Monitoring Solution", Low-Cost Digital Solutions for Industrial Automation (LoDiSA 2023), Cambridge, UK, September

Mukherjee, A. et al. (2023) "Healthcare Process and Variable Mapping for Identifying Digitalisation Opportunities and Building a Hospital Digital Twin", 2023 European Conference on Computing in Construction and the 40^th International CIB W78 Conference, Crete, Greece, July

Yilmaz, G. et al. (2023) "Low-Cost (Shoestring) Digital Solution Areas for Enabling Digitalisation in Construction SMEs", Computers in Industry, 150

Kumar, V. et al. (2023) "Network Science Approach for Identifying Disruptive Elements of an Airline", Data Science and Management, 6(2), pp. 110-121

McFarlane, D. et al. (2022) "Logistics of a Covid-19 Testing Programme for Students: A Practical Study in Operational Resilience", submitted to International Journal of Production Research

Yilmaz, G. et al. (2022) "Impact Assessment Model for Low Cost (Shoestring) Digitalisation in Small Construction Organizations", CIB W78 Information Technology for Construction 39th Conference, Melbourne, Australia, June

Zhong, S. et al. (2022) "Evaluating the Benefits of Picking and Packing Planning Integration in e-Commerce Warehouses", European Journal of Operational Research, 301(1), pp. 67-81

Giannikas, V. et al. (2022) "A Data-Driven Method to Assess the Causes and Impact of Delay Propagation in Air Transportation Systems", Transportation Research Part C: Emerging Technologies, 143

Macias-Aguayo, J. et al. (2022) "A Catalogue of Digital Solution Areas for Logistics SMEs", IFAC-PapersOnLine, 55(10), pp. 1828-1833

Zhong, S. et al. (2022) "Evaluating the benefits of picking and packing planning integration in e-commerce warehouses", European Journal of Operational Research, 301(1), pp. 67-81

Aggarwal, D. et al. (2022) "Genomic epidemiology of SARS-CoV-2 in a UK university identifies dynamics of transmission", Nat Commun, 13(1), pp. 751

McFarlane, D. et al. (2022) "Logistics of a Covid-19 Testing Programme for Students: A Practical Study in Operational Resilience", submitted to International Journal of Production Research

Giannikas, V. and McFarlane, D. (2021) "Examining the value of flexible logistics offerings", European Journal of Operational Research, 290(3), pp. 968-981

Pan, S. et al. (2021) "Digital interoperability in logistics and supply chain management: state-of-the-art and research avenues towards Physical Internet", Computers in Industry, 128

Pan, S. et al.(2021) "Digital interoperability and transformation in logistics and supply chain management: Editorial" Computers in Industry, 129

Brintrup, A. et al. (2020) "Supply chain data analytics for predicting supplier disruptions: a case study in complex asset manufacturing", International Journal of Production Research, 58, pp. 3330-3341

Wichmann, P. et al. (2020) "Extracting supply chain maps from news articles using deep neural networks", International Journal of Production Research, 58(17), pp. 5320-5336 

Woodall, P. et al. "Potential Problem Data Tagging: Augmenting information systems with the capability to deal with inaccuracies", Decision Support Systems, 121, pp. 72-83

Srinivasan, R. et al.  (2019) "Modelling food sourcing decisions under climate change: A data-driven approach", Computers and Industrial Engineering, 128, pp. 911-919

Giannikas, V. and McFarlane,. D and Strachan, J. (2019) "Towards the deployment of customer orientation: A case study in third-party logistics", Computers in Industry, 104, pp. 75-87

Bintrup, A. et al. (2018) "Predicting Hidden Links in Supply Networks", Complexity

Wichmann, P. et al. (2018) "Towards automatically generating supply chain maps from natural language text", IFAC-PapersOnLine, 51, pp. 1726-1731

Giannikas, V. et al. (2017) "An interventionist strategy for warehouse order picking: Evidence from two case studies", International Journal of Production Economics, 189, pp. 63-76

McFarlane, D., Giannikas, V. and Lu, W. (2016) "Intelligent logistics: Involving the customer", Computers in Industry, 81, pp. 105-115

Wijffels, L. et al. (2016) "An enhanced cycle counting approach utilising historical inventory data", IFAC-Papers OnLine, 49(12), pp. 1347-1352

Schattka, M., Puchkova, A. and McFarlane, D. (2016) "Framework for simulation-based performance assessment and resilience improvement", IFAC-PapersOnLine, 49(12), pp. 289-294

Masood, T. et al. (2016) "Towards the future-proofing of UK infrastructure", Infrastructure Asset Management, 3, pp. 28-41

Jess, T., Woodall, P. and McFarlane, D. (2015) "Evaluating the applicability of multi-agent software for implementing distributed industrial data management approaches", Studies in Computational Intelligence, 594, pp. 199-207

Tsamis, N. et al. (2015) "Adaptive storage location assignment for warehouses using intelligent products", Studies in Computational Intelligence, 594, pp. 271-279

Lu, W. et al. (2014) "An algorithm for dynamic order-picking in warehouse operations", European Journal of Operational Research

McFarlane, D. et al. (2013) "Intelligent products in the supply chain – 10 Years on", Studies in Computational Intelligence, 472, pp. 103-117

McFarlane, D. et al. (2013) "Product intelligence in industrial control: Theory and practice", Annual Reviews in Control, 37(1), pp. 69-88

Giannikas, V. et al. (2013) "Product intelligence in warehouse management: A case study", Lecture Notes in Computer Science, pp. 8062

 

Distributed, Intelligent Automation in Manufacturing

 

Brooks, S. and McFarlane, D. (2024) "Decoding the Diverse Landscape of Manufacturing Execution Systems", 21st International Conference on Manufacturing Research (ICMR 2024), Glasgow, UK, August

Rama Murthy, S. et al. (2024) "Elastic Manufacturing: Provisioning and Deprovisioning Production Capacity to Vary Product Volume and Mix", International Journal of Operations & Production Management, 44(11), pp. 1861-1885

Kaiser, J. et al. (2024) "An Agent-Based Approach for Energy-Efficient Sensor Networks in Logistics", Engineering Applications of Artificial Intelligence, 127(A)

Brooks, S. et al. (2023) "Design of a Demonstrator Environment for Investigating Multi-Factory Production and Operation Challenges", Advances in Transdisciplinary Engineering, 44, pp. 99-109

Kaiser, J. et al. (2023) "Evaluating the Effectiveness of Designs for Low-Cost Digital Manufacturing Systems", Applied Sciences, 13(23)

Martinez-Arellano, G. et al. (2023) "Enabling Coordinated Elastic Responses of Manufacturing Systems through Semantic Modelling", IFAC-PapersOnLine, 56(2), pp. 7402-7407

Macias-Aguayo, J. et al. (2022) "Industry 4.0 and Lean Six Sigma Integration: A Systematic Review of Barriers and Enablers", Applied Sciences (Switzerland), 12(22)

Mukherjee, A., Parlikad, K. and McFarlane, D. (2022) "Ubiquitous Domain Adaptation at the Edge for Vibration-based Machine Status Monitoring", IEEE Internet of Things Journal, 1

Kaiser J, et al. (2021) "Towards Low-Cost Machine Learning Solutions for Manufacturing SMEs", AI and Society, 38, pp. 2659-2665

Hernandez, M.P. et al. (2021) "Relaxing Platform Dependencies in Agent-Based Control Systems", IEEE Access, 9, pp. 30511-30527

Srinivasan, R. et al. (2018) "Customising with 3D printing: The role of intelligent control", Computers in Industry, 103, pp. 38-46

Borangiu, T. et al. (2016) "Service Orientation in Holonic and Multi Agent Manufacturing", Studies in Computational Intelligence, 640 

Guta, S.A. et al. (2013) "Rationales of holonic manufacturing systems in leather industry", Lecture Notes in Computer Science, pp. 8062

Kruse, B. et al. (2013) "Designing Automated Allocation Mechanisms for Service Procurement of Imperfectly Substitutable Services", IEEE Transactions on Computational Intelligence and AI in Games, 5(1), pp. 15-32

McFarlane, D. et al. (2013) "A framework for distributed intelligent automation systems developments", Studies in Computational Intelligence, 472, pp. 313-326

Lopez, T.S. et al. (2012) "Adding sense to the Internet of Things An architecture framework for Smart Objective systems", Personal and Ubiquitous Computing, 16(3), pp. 291-309 

Kruse, S. et al. (2012) "Self-serving assets are competing! A multi-agent system for handling competition among products", IEEE Computational Intelligence and AI in Games, 99, pp.1

Sanchez-Lopez, T., Harrison, M. and McFarlane, D. (2011) “Adding Sense to the Internet of Things - An Architecture Framework and High-Performance Protocol for Smart Objects”, Journal of Personal and Ubiquitous Computing - Special Issue, pp. 1–18

Brintrup, A. et al. (2011) "Will intelligent assets take off? Towards self-serving aircrafts," IEEE Intelligent Systems, 26(3), pp. 66-75

Framling, K. and McFarlane, D. (2009) "Editorial – Special Issue on Intelligent Products", Computers in Industry, 60(3), pp. 135-136  

Sánchez-López, T. et al. (2009) "Taxonomy, technology and applications of Smart Objects", Journal of Information Systems and Frontiers, 13(2), pp. 1-20

Chokshi, N. and McFarlane, D. (2008) “Reconfigurable Process Control Systems”, Springer Series in Advanced Manufacturing, pp. 15-40

Brusey, J., McFarlane, D. and Thorne, A. (2008) "Non-Autonomous Elementary Net Systems And Their Application To Programmable Logic Control", IEEE Transactions On Systems, Man, And Cybernetics—Part A: Systems And Humans, 38(2), pp. 397-409

Chokshi, N. and McFarlane, D. (2008) "Reconfigurable Control of Chemical Process Operations", Journal of Intelligent Manufacturing, 19(2), pp. 215-232

Farid, A. and McFarlane, D. (2007) "A Design Structure Matrix Based Method for Reconfigurability Measurement of Distributed Manufacturing Systems", International Journal of Intelligent Control and Systems, 12(2), pp. 118-129

Jarvis, J. et al. (2006) "A team-based approach to robotic assembly cell control", Journal of Network and Computer Applications 29, pp. 160–176

Marik, V. and McFarlane, D. (2005) "Industrial adoption of agent based technologies", IEEE Intelligent Systems, 20(1), pp. 27-35

McFarlane, D., Marik, V. and Valckenaers, P. (2005) "Intelligent control in the manufacturing supply chain", IEEE Intelligent Systems, 20(1), pp. 24-26

Peng, Y. and McFarlane, D. (2004) "Adaptive Agent-Based Manufacturing Management Systems And Their Application To Flow Shop Control", Journal of Production Planning and Control, 15(4)

Jarvis, D., Jarvis, J. and McFarlane, D. (2003) "Achieving Holonic Control – an Incremental Approach",  Computers in Industry, 51(2), pp. 211-223

Marik, V., McFarlane, D. and Valckenaers, P. (eds) (2003) "Holonic and Multi-Agent Systems for Manufacturing", Springer Verlag

McFarlane, D. et al. (2002) “Development of Algorithms for Agent-based Control of Manufacturing Flow Shops”, Studies in Informatics and Control, 11(1), pp. 41-52

Bongaerts, L. et al. (2000) "Hierarchy In Distributed Shop-Floor Control", Computers in Industry, 43(2), pp. 123-137

McFarlane, D. and Bussmann, S. (2000) "State of the Art of Holonic Systems in Production Planning and Control", International Journal of Production Planning and Control, 11(6), pp. 522-536

 

Industrial Resilience, Reconfigurability & Responsiveness

 

Martinez-Arellano, G. et al. (2023) "Enabling Coordinated Elastic Responses of Manufacturing Systems through Semantic Modelling", IFAC-PapersOnLine, 56(2), pp. 7402-7407

Giannikas, V. et al. (2022) "A Data-Driven Method to Assess the Causes and Impact of Delay Propagation in Air Transportation Systems", Transportation Research Part C: Emerging Technologies, 143

Puchkova, A. et al. (2020) "Resilient planning strategies to support disruption-tolerant production operations", International Journal of Production Economics, 226

Covanich, W. and McFarlane, D. (2011) "Comparing the Control Structures of ISA S88 and Holonic Component-Based Architecture", IEEE Trans on Systems Man and Cybernetics – Part C Applications and Reviews, 41(1)

Covanich, W. and McFarlane, D. (2009) "Assessing the The Ease of Reconfiguration of Distributed Manufacturing Systems and Conventional Manufacturing Systems", Engineering Applications of Artificial Intelligence, 22(7), pp. 1015-1024

Covanich, W., McFarlane, D. and Farid, A.M. (2008) "Guidelines for evaluating the ease of reconfiguration of manufacturing systems", IEEE International Conference on Industrial Informatics (INDIN), pp. 1214-1219

Chokshi, N.N. and McFarlane, D. (2008) "A distributed architecture for reconfigurable control of continuous process operations", Journal of Intelligent Manufacturing, 19(2), pp. 215-232

Farid, A. and McFarlane, D. (2008) "Production Degrees of Freedom as Manufacturing System Reconfiguration Potential Measures", Journal of Engineering Manufacture, 222(10), pp. 1301-1314

Covanich, W. et al. "Ready Configuration of Machines into an Existing Manufacturing System”, International Journal of Agile Manufacturing, 10(2), pp. 5-18

Shaw, A. et al. (2004) "Measuring Response Capabilities in the Order Fulfillment Process", ICFAI Journal of Supply Chain Management, 1(4), pp. 27-39

Matson, J. and McFarlane, D. (1999) "Assessing the Responsiveness of Existing Production Operations", International Journal of Operations and Production Management, 19(8), pp. 765-784

 

Industrial Application, Integration and Adoption Of RFID

 

Kelepouris, T. McFarlane, D. and Giannikas, V. (2012) "A Supply Chain Tracking Model Using Auto-ID Observations", International Journal of Information Systems and Supply Chain Management, 5(4)

Kelepouris, T., McFarlane, D. and Harrison, M. (2011) "Bayesian Supply Chain Tracking Using Serial-Level Information", IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 41(5), pp. 733-742

Ranasinghe, D.C. et al. (2011) "Enabling through life product-instance management: Solutions and challenges", Journal of Network and Computer Applications, 34(3), pp. 1015-1031 

Parlikad, A. and McFarlane, D. (2010) "Value of information in product recovery decisions: a Bayesian approach", International Journal of Sustainable Engineering, 3(2), pp. 106-120 

Brintrup, A., Ranasinghe, D.C. and McFarlane, D. (2010) "RFID opportunity analysis for leaner manufacturing", International Journal of Production Research, 48(9), pp. 2745-2764

Parlikad, A. and McFarlane, D. (2010) "Quantifying the impact of AIDC technologies for vehicle component recovery", Computers and Industrial Engineering, 4(1/2/3), pp. 129

Kelepouris, T. and McFarlane, D. (2010) "Determining the value of asset location information systems in a manufacturing environment", International Journal of Production Economics, 126(2), pp. 324-334

Parlikad, A. et al. (2009) "The role of AIDC technologies in product recovery – an Information Quality perspective", International Journal of Product Lifecycle Management, 4(1/2/3), pp. 129-145 

Parlikad, A. and McFarlane, D. (2009) "Strategies for product recovery decisions", International Journal of Product Lifecycle Management, 4(1/2/3), pp. 186-206

Parlikad, A. and McFarlane, D. (2009) "A Bayesian Decision Support system for vehicle component recovery", International Journal of Sustainable Manufacturing, 1(4), pp. 415-436

Brusey, J. and McFarlane, D. (2009) "Effective RFID-based Part Tracking for Manufacturing", International Journal of Computer Integrated Manufacturing, 22(7), pp. 1362-3052

Sarma, S. et al. (2009) "Guest Editorial Special Section on RFID", IEEE Transactions on Automation Science and Engineering, 6(1), pp. 1-3

Staake, T. et al. (2008) "Anti-counterfeiting and supply chain security", Networked RFID Systems and Lightweight Cryptography: Raising Barriers to Product Counterfeiting: First Edition, pp. 33-43

Kulkarni, A. et al. (2007) "The Impact of RFID on Product Recovery Industry", Supply Chain Forum: International Journal

Parlikad, A. and McFarlane, D. (2007) "RFID-based product information in end-of-life decision making", IFAC Control Engineering Practice Journal, 15(11), pp. 1348-1363

Wong, C.Y. and McFarlane, D. (2007) "Radio frequency identification data capture and its impact on shelf replenishment", International Journal of Logistics, 10(1), pp. 71-93

Kulkarni, A., Ralph, D. and McFarlane, D. (2007), "Value of RFID in Remanufacturing", Journal of Service Operations and Informatics, 2(3)

McFarlane, D. and Shaw, A. (2006) "The challenge of unified RFID", Sensor Review, 26(2)

McFarlane, D. et al. (2003) "Auto ID systems and intelligent manufacturing control", Engineering Applications of Artificial Intelligence, 16(4), pp. 365-376

McFarlane, D. and Sheffi, Y. (2003) "The Impact of Automatic Identification on Supply Chain Operations", International Journal of Logistics Management, 14(1), pp. 1-17

McFarlane, D. and Sheffi, Y. (2003) "Speeding the Supply Chain", Information Economics Journal, pp. 26-27

 

Service & Support Engineering

 

Mukherjee, A., Parlikad, K. and McFarlane, D. (2022) "Ubiquitous Domain Adaptation at the Edge for Vibration-based Machine Status Monitoring", IEEE Internet of Things Journal, 1

McFarlane, D. and Cuthbert, R. (2012) "Modelling Information Requirements in Complex Engineering Services", Computers in Industry, 63(4), pp. 349-360 

Ng, I. et al. (2011) "Complex Service Systems: Concepts & Research", Series on Decision Engineering, Springer

Ng, I. et al. (2011) "Towards A Core Integrative Framework For Complex Engineering Service Systems", Complex Service Systems: Concepts & Research, Springer

McFarlane, D. (2011) "An Engineering Perspective on Service Science", The Science of Service Systems

Cuthbert, R., McFarlane, D. and Neely, A. (2011) "A Framework for Service Information Requirements", Complex Service Systems: Concepts & Research, Springer

Cuthbert, R. et al. (2011) "Investigating the Role of Information on Service Strategies Using Discrete Event Simulation", Complex Service Systems: Concepts & Research, Springer

Ng, I. et al. (2011) "Complex Engineering Service Systems: A Grand Challenge", Complex Service Systems: Concepts & Research, Springer

Ng, I. et al. (2011) "Introduction and a framework for Complex Engineering Service Systems", Complex Service Systems: Concepts & Research, Springer

Cuthbert, R., McFarlane, D. and Neely, A. (2011) "The Impact of Contract Type on Service Provider Information Requirement", International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), 3(3), pp. 21

 

Robust Control System Design

 

Petersen, I.R., McFarlane, D. and Rotea, M. (1998) "Optimal Quadratic Guaranteed Cost Control for Uncertain Linear Systems", Journal of Robust & Non Linear Control, 8(8), pp. 649-657

Petersen, I.R. and McFarlane, D., (1996) "Optimal Guaranteed Cost Filtering for Uncertain Linear Systems", Journal of Robust & Non Linear Control, 6, pp. 267-280

Petersen, I.R. and McFarlane, D., (1994) "Optimal Guaranteed Cost Control and Filtering for Uncertain Linear Systems", IEEE Transactions of Automatic Control, 39(9)

Glover, K., Sefton, J. and McFarlane, D. (1992) "A tutorial on loop shaping using H- infinity robust stabilisation", Transactions of the Institute of Measurement & Control, 14(3)

McFarlane, D. and Glover, K. (1992) "A loop shaping design procedure using H-infinity synthesis", IEEE Transactions on Automatic Control, 37(6)

McFarlane, D., Glover, K. and Vidyasagar, M. (1990) "Reduced order controller design using coprime factor model reduction", IEEE Transactions of Automatic Control, 35(3), pp. 369-373

McFarlane, D. and Glover, K. (1990) "Robust Controller Design Using Normalised Coprime Factor Plant Descriptions", Springer Verlag

Glover, K. and McFarlane, D. (1989) "Robust stabilisation of normalised coprime factor plant descriptions with H-infinity bounded uncertainty", IEEE Transactions of Automatic Control, 34(8)

Ober, R. and McFarlane, D. (1988) "Balanced canonical forms for minimal systems: a normalised coprime factor approach", Linear Algebra and its Applications, 122-124, pp. 23-64

 

 

Steel Mill Control

 

McFarlane, D. et al. (1995) "Application of Holonic Methodologies to Problem Diagnosis in a Rod Mill Cooling Control System", IEEE Conference on Systems, Man and Cybernetics, Vancouver, Canada

Moheimani, R. et al. (1994) "Robust control of a Sendzimir Mill", IEEE Conference on Industrial Applications, Glasgow, UK

Agre, J. et al. (1994) "Holonic Control of a Water Cooling System for a Steel Rod Mill", Rensselaer's 4th International Conference on Computer Integrated Manufacturing and Automation Technology, New York, USA

Cheng, J.K.C., Stone, P.M. and McFarlane, D. (1993) "A Generalised Extended Kalman Filter and its Application to Steel Rolling Temperature Estimation", 12th IFAC World Congress, Sydney, Australia

McFarlane, D. and Elsley, G. (1993) "Model Tuning for Bar Mill Tension Control at BHP", 12th IFAC World Congress, Sydney, Australia

Hodgson, P., McFarlane, D. and Gibbs, R. (1993) "The modelling of hot rolling: accuracy versus utility", 1st International Conference on Modelling of Metal Rolling Processes, London, UK

McFarlane, D. et al. (1992) "Model Tuning using ANNs and related techniques", IFAC MMM '92 Symposium, Beijing, China  

McFarlane, D. and Stone, P. (1990) "Dynamic process modelling for tension control in a merchant bar rolling mill", 5th International Rolling Conference, London, UK 

McFarlane, D. and Stone, P. (1990) "Minimum tension in a merchant bar rolling mill using modern control techniques", IFAC World Congress, Tallinn, USSR

Stone, P., Day, E. and McFarlane, D. (1988) "Computer control of a continuous annealing line", Australian J. Instrumentation & Control

 

Societal Issues in Automation

 

Fisher, O. et al. (2024) "Promoting Equality, Diversity and Inclusion in Research and Funding: Reflections from a Digital Manufacturing Research Network’, Research Integrity Peer Review, 9

Chen, Y., Velu, C. and McFarlane, D. (2024) "Robot Adoption and Profitability: The Opportunities and Challenges Ahead", IEEE Engineering Management Review, pp. 1-9 

Chen, C. et al. (2023) "Intelligent Low-Cost Monitoring for Smart Digital Manufacturing", Low-Cost Digital Solutions for Industrial Automation (LoDiSA 2023), Cambridge, UK, September

Chen, Y., Velu, C. and McFarlane, D. (2023) "The Effect of Robot Adoption on Profit Margins", IEEE Transactions on Engineering Management, 71, pp. 8951-8963

Terrazas, G. et al. (2021) "Student Hackathons for Low Cost Digital Solutions", 2021 International Conference on Computational Science and Computational Intelligence (CSCI 2021), Las Vegas, USA, December