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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 Hence the characteristic of smart cities involves solutions for air pollution, human health, traffic congestions, outdated urban infrastructure etc.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.

征稿信息

重要日期

2018-01-11
初稿截稿日期
2018-01-25
初稿录用日期
2018-02-02
终稿截稿日期

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
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重要日期
  • 会议日期

    03月19日

    2018

    03月21日

    2018

  • 01月11日 2018

    初稿截稿日期

  • 01月25日 2018

    初稿录用通知日期

  • 02月02日 2018

    终稿截稿日期

  • 03月21日 2018

    注册截止日期

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