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Smart contracting for production supply in shared manufacturing: a practical simulation approach

Author

Listed:
  • Larissa Krämer
  • Patrick Stuckmann-Blumenstein
  • Pascal Kaiser
  • Michael Henke
  • Moritz Roidl
  • Alice Kirchheim

Abstract

Enhancing transparency in production processes, especially in shared manufacturing, relies heavily on sharing data. Information asymmetries and coordination problems between parties with conflicting interests pose a challenge in this multi-stakeholder interaction. Blockchain technology with smart contracting can be a solution due to its immutable data and decentralised data storage features. Designing and executing blockchain in industrial applications is a highly intricate task that requires extensive testing, expertise, and proficiency. This paper is the first to propose a holistic simulation model for evaluating the impact of smart contracting on shared manufacturing, including a novel approach to simulated smart contracting in time-lapse for Ethereum-based networks. The introduced model guides the design and implementation process of blockchain applications in shared manufacturing to address this challenge. A systematic literature review establishes ten design process requirements and ten smart contract functions. The implementation is developed based on the design benchmarks of three Ethereum-based frameworks to investigate the simulation model's respective feasibility and scalability. The simulation model validation demonstrates our approach's suitability for simulating smart contracting in shared manufacturing within a hybrid production. It enables fast and scalable simulations, offering an innovative approach to extensively testing blockchain applications before their introduction to ongoing industrial operations.

Suggested Citation

  • Larissa Krämer & Patrick Stuckmann-Blumenstein & Pascal Kaiser & Michael Henke & Moritz Roidl & Alice Kirchheim, 2025. "Smart contracting for production supply in shared manufacturing: a practical simulation approach," International Journal of Production Research, Taylor & Francis Journals, vol. 63(14), pages 5142-5168, July.
  • Handle: RePEc:taf:tprsxx:v:63:y:2025:i:14:p:5142-5168
    DOI: 10.1080/00207543.2024.2430449
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