The potential offered by Industry 4.0Industry 4.0 Core Technologies in the manufacturing, mining, energyEnergy, and logistics sectors requires new models of value generation that articulate the relationships between the different technical, productive, and institutional stakeholders to fully generate positive impact on sustainability. These Core Technologies (i.e., industrial IoTIndustrial IoT and 5G, cyber-physical systemsCyber-Physical Systems (CPS), cloud and edge computing, industrial robotics, data analytics and big data, augmented and mixed realityMixed reality, simulation and digital twin, additive manufacturing, cyber-security and blockchain, machine learning and computer visionComputer vision, human–machine collaboration) are highly disruptive and impossible to implement off-the-shelf in real productive processes. Exploiting this potential requires creating new value networks that orchestrate and articulate the process of economic, social and ecological impact generation. To contribute to these challenges, we propose a methodology for the discovery and build of such value networks. This methodology involves a sequence of collaborative steps between the different stakeholders to work together on the uncertainties related to the generation of value and the configuration of the networks. Its application results seem promising to effectively contribute to accelerate technology adoption, to generate more inclusive and sustainable impact networks, and to build up core competencies for the stakeholders involved.

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Industry 4.0 Value Networks: Discovery and Build Methodology

  • F. Javier Martínez-Borreguero,
  • Isabel García-Gutiérrez

摘要

The potential offered by Industry 4.0Industry 4.0 Core Technologies in the manufacturing, mining, energyEnergy, and logistics sectors requires new models of value generation that articulate the relationships between the different technical, productive, and institutional stakeholders to fully generate positive impact on sustainability. These Core Technologies (i.e., industrial IoTIndustrial IoT and 5G, cyber-physical systemsCyber-Physical Systems (CPS), cloud and edge computing, industrial robotics, data analytics and big data, augmented and mixed realityMixed reality, simulation and digital twin, additive manufacturing, cyber-security and blockchain, machine learning and computer visionComputer vision, human–machine collaboration) are highly disruptive and impossible to implement off-the-shelf in real productive processes. Exploiting this potential requires creating new value networks that orchestrate and articulate the process of economic, social and ecological impact generation. To contribute to these challenges, we propose a methodology for the discovery and build of such value networks. This methodology involves a sequence of collaborative steps between the different stakeholders to work together on the uncertainties related to the generation of value and the configuration of the networks. Its application results seem promising to effectively contribute to accelerate technology adoption, to generate more inclusive and sustainable impact networks, and to build up core competencies for the stakeholders involved.