Petri nets-based digital twin drives dual-arm cooperative manipulation

Hu, Fuwen; Wang, Wei; Zhou, Jinghua

doi:10.1016/j.compind.2023.103880

Cited by 9 publications

(6 citation statements)

References 71 publications

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“…The big reason making DTs stand out is that they can connect the physical counterpart and other related digital twins and dynamically update themselves to support more efficient and effective decision making. To this end, scholars have carried out DT-based or DT-driven decision-making studies over the years [12][13][14][15]. Drawing on the lessons from several different DT cases, it is confirmed that DTs can integrate insights from multiple stakeholders and support them to make joint decisions within the ecosystem and develop the system wisdom from the codified information [16].…”

Section: Decision-making Paradigm Under Industry 40mentioning

confidence: 99%

Cooperative Game-Based Digital Twin Drives Decision Making: Overall Framework, Basic Formalization and Application Case

Hu,

Bi,

Zhu

2024

Mathematics

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The emerging progress brought about by Industry 4.0 generates great opportunities for better decision making to cope with increasingly uncertain and complex industrial production. From the perspective of game theory, methods based on computational simulations and methods based on physical entities have their intrinsic drawbacks, such as partially accessible information, uncontrollable uncertainty and limitations of sample data. However, an insight that inspired us was that the digital twin modeling method induced interactive environments to allow decision makers to cooperatively learn from the immediate feedback from both cyberspace and physical spaces. To this end, a new decision-making method was put forward using game theory to autonomously ally the digital twin models in cyberspace with their physical counterparts in the real world. Firstly, the overall framework and basic formalization of the cooperative game-based decision making are presented, which used the negotiation objectives, alliance rules and negotiation strategy to ally the planning agents from the physical entities with the planning agents from the virtual simulations. Secondly, taking the assembly planning of large-scale composite skins as a proof of concept, a cooperative game prototype system was developed to marry the physical assembly-commissioning system with the virtual assembly-commissioning system. Finally, the experimental work clearly indicated that the coalitional game-based twinning method could make the decision making of composite assembly not only predictable but reliable and help to avoid stress concentration and secondary damage and achieve high-precision assembly. Obviously, this decision-making methodology that integrates the physical players and their digital twins into the game space can help them take full advantage of each other and make up for their intrinsic drawbacks, and it preliminarily demonstrates great potential to revolutionize the traditional decision-making methodology.

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Section: Decision-making Paradigm Under Industry 40mentioning

confidence: 99%

Cooperative Game-Based Digital Twin Drives Decision Making: Overall Framework, Basic Formalization and Application Case

Hu,

Bi,

Zhu

2024

Mathematics

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“…The literature presents many examples that demonstrate the feasibility of the realization of DTs by using the AAS [ 25 , 26 , 27 , 28 ]. In particular, in [ 27 , 28 ], the current state of the art about realizations of DTs by the AAS metamodel is presented, proving the relevant feasibility of representing heterogeneous industrial assets. Considering the ISO 23247 digital twin framework, ref.…”

Section: Introductionmentioning

confidence: 99%

Digital Twin of a Water Supply System Using the Asset Administration Shell

Cavalieri,

Gambadoro

2024

Sensors

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The concept of digital twins is one of the fundamental pillars of Industry 4.0. Digital twin allows the realization of a virtual model of a real system, enhancing the relevant performance (e.g., in terms of production rate, risk prevention, energy saving, and maintenance operation). Current literature presents many contributions pointing out the advantages that may be achieved by the definition of a digital twin of a water supply system. The Reference Architecture Model for Industry 4.0 introduces the concept of the Asset Administration Shell for the digital representation of components within the Industry 4.0 ecosystem. Several proposals are currently available in the literature considering the Asset Administration Shell for the realization of a digital twin of real systems. To the best of the authors’ knowledge, at the moment, the adoption of Asset Administration Shell for the digital representation of a water supply system is not present in the current literature. For this reason, the aim of this paper is to present a methodological approach for developing a digital twin of a water supply system using the Asset Administration Shell metamodel. The paper will describe the approach proposed by the author and the relevant model based on Asset Administration Shell, pointing out that its implementation is freely available on the GitHub platform.

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“…Additive manufacturing offers numerous notable benefits, including direct production without the need for molds and tooling, enabling greater design flexibility, efficient material utilization, and environmentally friendly processes [3]. The DT model generates a new opportunity to identify and eliminate the unpredicted undesirable behavior, which has a major impact on the reduction in wasted resources in the life cycle of our systems [4]. The blockchain technology, which has proven to be compatible with Industry 4.0, allows for supporting an emissions trading application framework [5].…”

Section: Introductionmentioning

confidence: 99%

“…Means that one factor is slightly more important than the other in the comparison of two factors. 4 Between the mid-value of the two adjacent judgments above.…”

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confidence: 99%

Proposal of Industry 5.0-Enabled Sustainability of Product–Service Systems and Its Quantitative Multi-Criteria Decision-Making Method

Jin,

Chen,

2024

Processes

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In the wake of Industry 4.0, the ubiquitous internet of things provides big data to potentially quantify the environmental footprint of green products. Further, as the concept of Industry 5.0 emphasizes, the increasing mass customization production makes the product configurations full of individuation and diversification. Driven by these fundamental changes, the design for sustainability of a high-mix low-volume product–service system faces the increasingly deep coupling of technology-driven product solutions and value-driven human-centric goals. The multi-criteria decision making of sustainability issues is prone to fall into the complex, contradictory, fragmented, and opaque flood of information. To this end, this work presents a data-driven quantitative method for the sustainability assessment of product–service systems by integrating analytic hierarchy process (AHP) and data envelopment analysis (DEA) methods to measure the sustainability of customized products and promote the Industry 5.0-enabled sustainable product–service system practice. This method translates the sustainability assessment into a multi-criteria decision-making problem, to find the solution that meets the most important criteria while minimizing trade-offs between conflicting criteria, such as individual preferences or needs and the life cycle sustainability of bespoke products. In the future, the presented method can extend to cover more concerns of Industry 5.0, such as digital-twin-driven recyclability and disassembly of customized products, and the overall sustainability and resilience of the supply chain.

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Petri nets-based digital twin drives dual-arm cooperative manipulation

Cited by 9 publications

References 71 publications

Cooperative Game-Based Digital Twin Drives Decision Making: Overall Framework, Basic Formalization and Application Case

Cooperative Game-Based Digital Twin Drives Decision Making: Overall Framework, Basic Formalization and Application Case

Digital Twin of a Water Supply System Using the Asset Administration Shell

Proposal of Industry 5.0-Enabled Sustainability of Product–Service Systems and Its Quantitative Multi-Criteria Decision-Making Method

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