An Information Theory Inspired Real-Time Self-Adaptive Scheduling for Production-Logistics Resources: Framework, Principle, and Implementation

Yang, Wenchao; Li, Wenfeng; Cao, Yulian; Luo, Yuan; He, Lijun

doi:10.3390/s20247007

Cited by 8 publications

(1 citation statement)

References 34 publications

(65 reference statements)

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“…Edge computing, fog computing and cloud computing enabled digital twin solution can support the real-time monitor, decision and control of synchronized production logistics system [4]. The scheduling represents a special type of production optimization problems, where the optimization of NP-hard problems can be solved with information theory inspired real-time self-adaptive methods including real-time task triggering, collaborative acquisition of realtime information and adaptive scheduling [5]. Real-time monitoring and optimization based indoor positioning systems in production and logistics processes significantly improve the efficiency and availability of production systems [6].…”

Section: Literature Reviewmentioning

confidence: 99%

Impact of digital twin technology on the real-time optimisation of material handling processes

Bányai

2022

IOP Conf. Ser.: Mater. Sci. Eng.

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The application of Internet of Things (IoT) technologies makes it possible to improve the performance of technological and logistic processes. These processes can include a wide range of IoT technologies and solutions, like cloud, fog or edge computing, intelligent tools and gentelligent products, mobile robots, 3D printing, virtual reality or last but not at least digital twin solutions. Within the frame of this article the author describes the potential of digital twin technology to improve the performance of real-time optimisation in complex logistics systems. After a short literature review, this paper introduces the conception of digital twin solutions. The model of digital twin supported real-time optimisation of an in-plant logistics system is described including the structure, the mathematical model, the solution algorithm, and the computational results. The scenario analysis of the described system validates the model and the efficiency of digital twin solutions.

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Section: Literature Reviewmentioning

confidence: 99%

Impact of digital twin technology on the real-time optimisation of material handling processes

Bányai

2022

IOP Conf. Ser.: Mater. Sci. Eng.

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Title: production planning and control in industry 4.0 environment: a morphological analysis of literature and research agenda

Prashar

2022

J Intell Manuf

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Cloud material handling systems: a cyber-physical system to enable dynamic resource allocation and digital interoperability

Aron,

Sgarbossa,

Ballot

et al. 2023

J Intell Manuf

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The existing logistics practices frequently lack the ability to effectively handle disruptions. Recent research called for dynamic, digital-driven approaches that can help prioritise allocation of logistics resources to design more adaptive and sustainable logistics networks. The purpose of this study is to explore inter-dependencies between physical and digital assets to examine how cyber-physical systems could enable interoperability in logistics networks. The paper provides an overview of the existing literature on cyber-physical applications in logistics and proposes a conceptual model of a Cloud Material Handling System. The model allows leveraging the use of digital technologies to capture and process real-time information about a logistics network with the aim to dynamically allocate material handling resources and promote asset and infrastructure sharing. The model describes how cloud computing, machine learning and real-time information can be utilised to dynamically allocate material handling resources to product flows. The adoption of the proposed model can increase efficiency, resilience and sustainability of logistics practices. Finally, the paper offers several promising research avenues for extending this work.

show abstract

An Information Theory Inspired Real-Time Self-Adaptive Scheduling for Production-Logistics Resources: Framework, Principle, and Implementation

Cited by 8 publications

References 34 publications

Impact of digital twin technology on the real-time optimisation of material handling processes

Impact of digital twin technology on the real-time optimisation of material handling processes

Title: production planning and control in industry 4.0 environment: a morphological analysis of literature and research agenda

Cloud material handling systems: a cyber-physical system to enable dynamic resource allocation and digital interoperability

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