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

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Title: Smart contracting for production supply in shared manufacturing: a practical simulation approach.
Authors: Krämer, Larissa1 (AUTHOR) larissa.kraemer@tu-dortmund.de, Stuckmann-Blumenstein, Patrick2 (AUTHOR), Kaiser, Pascal1 (AUTHOR), Henke, Michael2 (AUTHOR), Roidl, Moritz1 (AUTHOR), Kirchheim, Alice1 (AUTHOR)
Source: International Journal of Production Research. Jul2025, Vol. 63 Issue 14, p5142-5168. 27p.
Subjects: Blockchains, Simulation methods & models, Data integrity, Stakeholder analysis, Industrial applications, Computer integrated manufacturing systems
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. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Smart contracting for production supply in shared manufacturing: a practical simulation approach.
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  Data: <searchLink fieldCode="AR" term="%22Krämer%2C+Larissa%22">Krämer, Larissa</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> larissa.kraemer@tu-dortmund.de</i><br /><searchLink fieldCode="AR" term="%22Stuckmann-Blumenstein%2C+Patrick%22">Stuckmann-Blumenstein, Patrick</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kaiser%2C+Pascal%22">Kaiser, Pascal</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Henke%2C+Michael%22">Henke, Michael</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Roidl%2C+Moritz%22">Roidl, Moritz</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kirchheim%2C+Alice%22">Kirchheim, Alice</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Production+Research%22">International Journal of Production Research</searchLink>. Jul2025, Vol. 63 Issue 14, p5142-5168. 27p.
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  Data: <searchLink fieldCode="DE" term="%22Blockchains%22">Blockchains</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation+methods+%26+models%22">Simulation methods & models</searchLink><br /><searchLink fieldCode="DE" term="%22Data+integrity%22">Data integrity</searchLink><br /><searchLink fieldCode="DE" term="%22Stakeholder+analysis%22">Stakeholder analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Industrial+applications%22">Industrial applications</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+integrated+manufacturing+systems%22">Computer integrated manufacturing systems</searchLink>
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  Data: 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. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Type: general
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      – SubjectFull: Data integrity
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      – SubjectFull: Computer integrated manufacturing systems
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              Text: Jul2025
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