Software-Defined Value Networks (SDVN) aim to increase flexibility, value-chain resilience through redundancy, scalability through standardized linkages and data formats as well as data consistency for sustainability requirements such as the carbon footprint, as opposed to current Global Value Chains. For a potential success of implementing SDVNs, the extent to which current research technologies are being utilized in companies and challenges of the companies regarding SDVNs need to be elaborated. This article presents a survey to identify industrial requirements, roadblockers and successfactors for implementing SDVN. The survey was conducted among industrial partners of ARENA2036, a research campus for future mobility and automotive production in Stuttgart, with two representatives, development and management, from each participating company The survey covers the interviewee’s experience with automation systems, the use of emerging technologies throughout the company’s value chains, perceived risks, sustainability factors, the potential of existing value chains, and requirements for further automation in SDVNs. The results of the survey are summarized and interpreted in the context of current technological developments, such as the Eclipse Dataspace Components, the Asset Administration Shell and solutions of Software-defined Manufacturing. They show the need of value-chain orchestration across companies including strategies for solving goal conflicts with e.g. sustainability requirements, as well as applicability of scientific developments and standardization processes to a broad industrial implementation.

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Software-Defined Value Networks: Industrial Requirements and Research Gap

  • David Dietrich,
  • Manuel Zürn,
  • Ann-Kathrin Briem,
  • David Koch,
  • Werner Lober,
  • Jannik Lind,
  • Armin Lechler,
  • Alexander Verl

摘要

Software-Defined Value Networks (SDVN) aim to increase flexibility, value-chain resilience through redundancy, scalability through standardized linkages and data formats as well as data consistency for sustainability requirements such as the carbon footprint, as opposed to current Global Value Chains. For a potential success of implementing SDVNs, the extent to which current research technologies are being utilized in companies and challenges of the companies regarding SDVNs need to be elaborated. This article presents a survey to identify industrial requirements, roadblockers and successfactors for implementing SDVN. The survey was conducted among industrial partners of ARENA2036, a research campus for future mobility and automotive production in Stuttgart, with two representatives, development and management, from each participating company The survey covers the interviewee’s experience with automation systems, the use of emerging technologies throughout the company’s value chains, perceived risks, sustainability factors, the potential of existing value chains, and requirements for further automation in SDVNs. The results of the survey are summarized and interpreted in the context of current technological developments, such as the Eclipse Dataspace Components, the Asset Administration Shell and solutions of Software-defined Manufacturing. They show the need of value-chain orchestration across companies including strategies for solving goal conflicts with e.g. sustainability requirements, as well as applicability of scientific developments and standardization processes to a broad industrial implementation.