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Workshop on Smart Cities, Big Data Analytics and Digital Manufacturing: Inspiring New Organisational forms and Democratising the Means of Design Innovation and Production  - SCBDADM 2018

19 - 21 March, 2018 - Funchal, Madeira, Portugal

In conjunction with the 3rd International Conference on Internet of Things, Big Data and Security - IoTBDS 2018


Gary Graham
University of Leeds
United Kingdom
Brief Bio
Graham is an Associate Professor of Operations and Supply Chain Management and a co-director of the Cities themed Design and Production Group. He is a visiting research scholar at The Massachusetts Institute of Technology’s Centre for Transport and Logistics. He founded and co-ordinates the Smart Cities and Economic Resilience Network (a membership of 60 international scholars, manufacturers, supply chain managers and community workers ( His work focuses on smart city manufacturing, productivity, localization, smaller companies and democratising the means of production. He has research collaboration on “Distributed Manufacturing” and “Industry 4.0” with the Institute for Manufacturing, University of Cambridge.
Patrick Hennelly
Institute for Manufacturing, University of Cambridge
United Kingdom
Brief Bio
Patrick is a research assistant at the Institute for Manufacturing, Cambridge University. Patrick Hennelly's PhD focuses on relationship formation in the UK offshore wind, UK Steel and UK Textile industries. His research interests lie in the areas of supply chain management, distributed manufacturing and smart city production systems. He is part of the Future Cities and Community Resilience network. He has reviewed for journals such as SCM: an international Journal, Production Planning and Control, Technological Forecasting and Social Change. He has presented conference papers at Cambridge’s Annual International Manufacturing Symposium and the annual European Decision Science Institute Conference.
Mukesh Kumar
Cambridge University Institute for Manufacturing
United Kingdom
Brief Bio
Mukesh Kumar is a University lecturer at the Department of Engineering, University of Cambridge. He is based at the Institute for Manufacturing and leading research on industrial resilience. He has developed risk management processes for global manufacturing investment decisions and supply chain management, with industrial funding received from Sealed Air. Before joining the University of Cambridge, Mukesh's previous roles have been in the financial sector as a senior analyst, and corporate finance consultant. He holds a PhD degree from the University of Cambridge.
Samuel Fosso-Wamba
20 Boulevard Lascrosses, TBS Business School
Brief Bio
Dr. Samuel Fosso Wamba is a Professor at Toulouse Business School, France, and Visiting Professor of Artificial Intelligence in Business at The University of Bradford, UK. I earned his Ph.D. in industrial engineering at the Polytechnic School of Montreal, Canada. His current research focuses on business on the business value of I.T., inter-organizational systems adoption, use and impacts, supply chain management, electronic commerce, blockchain, artificial intelligence for business, social media, business analytics, big data, and open data. His work has been published in several international conferences and journals, including the following: Academy of Management Journal, European Journal of Information Systems, International Journal of Production Economics, International Journal of Operations & Production Management, International Journal of Production Research, Journal of Business Research, Electronic Markets, Technology Forecasting and Social Change, Information Systems Frontiers, and Production Planning & Control. In 2017, I won the Best Paper Award by The Academy of Management Journal and by The Electronic Markets: The International Journal on Networked Business. I have been serving as a member of the editorial board of five international journals. Moreover, I am a CompTIA RFID+ Certified Professional, and the Academic Co-Founder of RFID Academia. In my employer institution, apart from teaching and conducting research, I lead the newly created Artificial Intelligence & Business Analytics Cluster. In one of my areas of research, I have been recently recognized as the most influential scholar in big data analytics and enterprises based on the number of published articles and the number of citations[1]. Furthermore, my current Google Scholar h-index is 45, with 8,535 citations by October 10. [1] Khanra, S., Dhir, A. & Mäntymäki, M. 2020. 'Big data analytics and enterprises: a bibliometric synthesis of the literature.' Enterprise Information Systems, 1-32
Rashid Mehmood
King Abdul Aziz University
Saudi Arabia
Brief Bio
Rashid Mehmood is the Research Professor of Big Data Systems and the Director of Research, Training, and Consultancy at the High Performance Computing Centre, King Abdulaziz University, Saudi Arabia. He has gained qualifications and academic work experience from universities in the UK including Swansea, Cambridge, Birmingham, and Oxford. Rashid has over 20 years of research experience in computational modelling and simulation systems coupled with his expertise in high performance computing. His broad research aim is to develop multi-disciplinary science and technology to enable a better quality of life and Smart Economy with a focus on real-time intelligence and dynamic system management. He has published over 150 research papers including 4 edited books.


The concept of smart cities has emerged on the background of issues associated with liveable condition of growing urban population and urban planning. Hence the characteristic of smart cities involves solutions for air pollution, human health, traffic congestions, outdated urban infrastructure etc. A majority of suggested solutions revolve around ‘Big Data’ and ‘Analytics’ typically based on digital telecommunication networks, intelligence gathering, sensors and software involving ICT infrastructure. However it appears that smart city economy assumes that the economic activities of smart cities will be based on services. They have largely ignored manufacturing activities in their conceptualisation and implementation of smart cities. This is of major concern when additive production technologies along with ‘Big Data’ and physical and digital infrastructures could provide huge economic potential for urban population livelihood. 


Technological innovations change future production models and the nature of work. The success of technology implementation depends on early involvement, a clear defined strategy and capabilities for digital transformation. The connected world of the Industrial Internet of Things provides great opportunities to develop new business models and expand existing products and services. This thematic area, which maps on closely to and moves beyond the notion of ‘Industry 4.0’. We anticipate that this workshop will include those from manufacturing, computing, digital economy, data science, human factors, sociology, business, design and psychology.

The workshop will bring together a network of researchers who will influence the future research direction, with a particular focus on widening the scientific community who are engaging with challenges associated with future manufacturing and its integration with smart city-big data analytics. 

We particularly invite papers that explore a scenario of a technologically infused production system located close to consumption nodes (maker cities) and compare its resilience (capability and adaptability) against ‘scale-based’ global production systems. This includes the feasibility of digital manufacturing and big data analytics based on ‘maker’ urban spaces, ‘crowd-based’ creative factories, ‘dissolvable’ supply chains and employing crowds of digital labour.

Topics of Interest

Suggested paper topics include:
  • Design and Production Characteristics of Smart Cities.
  • Smart city data environments, innovative data capture (gamification, crowdsourcing).
  • Economic Challenges, Risks and Opportunities.
  • Emerging Production Technologies.
  • Supply chain design for emerging technologies.
  • Industrial case studies.
  • Linking production system to smart city.
  • Implementation of Smart City Production System (feasibility, vulnerability, acceptability resilience (adaptability and capability)).
  • Futuristic maker cities, the crowd-based creativity factory, dissolvable supply chains and digital labour.
  • Big data analytics enabled-business process innovation at the firm and supply chain levels.
  • Assessment of the effect of big data analytics on the decision-making processes in operations.
  • Assessment of facilitators and inhibitors of big data analytics adoption for supply chain management processes.
  • In-depth & longitudinal case studies and pilot studies on the implementation of IT infrastructure to support big data initiatives for improved operations management, lean & agile operations, quality management in operations and supply chain management.
  • Facilitation of innovative electronic business models and operations by using big data analytics in various sectors (e.g., healthcare, retail industry, and manufacturing) • Enabling smart cities, smart organizations and smart homes using big data analytics.
  • New theory development to explain the adoption and use of big data in operations at the organizational and inter-organizational levels.
  • Challenges related to big data analytics-enabled end-to-end supply chain transformation Democratizing means of design, manufacturing and industrial production.
  • Challenges and opportunities to new organizational forms and business models linked to big data, distributed manufacturing the industrial internet of things.
  • Developing approaches, protocols and resources for designers to effectively operate within sustainable local production ecosystems.
  • Democratizing production with communities and schools.
  • Developing approaches, protocols and resources for manufacturers to effectively operate within sustainable local production ecosystems.
  • Developing an understanding of the economics, business models, emerging organizational forms, building new production materiality’s, routes out of austerity and the value creation of sustainable local production ecosystems. This includes both technical and social sides/developments.
  • Building sociological experiments in the areas of distributed and biological manufacturing


Paper Submission: January 17, 2018 (expired)
Authors Notification: January 25, 2018 (expired)
Camera Ready and Registration: February 2, 2018 (expired)


Available soon.


Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.


After thorough reviewing by the workshop program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital support.
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library ( DBLP, Web of Science / Conference Proceedings Citation Index, EI and SCOPUS
SCITEPRESS is a member of CrossRef ( and every paper is given a DOI (Digital Object Identifier).


IoTBDS Workshops - SCBDADM 2018