Development of an Agent-Based Collaborative Production System Based on Real-Time Order-Driven Approach

Ni, Yanting; Wang, Yi

doi:10.1007/s13369-015-1572-6

Cited by 4 publications

(2 citation statements)

References 20 publications

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“…This work proposes MASs as these have proven to be effective for coordination and collaboration. This can be observed in the later works about MASs such as the Real-time Order-driven approach for collaborative production planning and scheduling [21]. In particular, the current approach develops the customized MASs with a Model-driven Engineering (MDE) approach.…”

Section: Introductionmentioning

confidence: 87%

A model-driven approach for constructing ambient assisted-living multi-agent systems customized for Parkinson patients

García‐Magariño

Palacios-Navarro

2016

Journal of Systems and Software

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This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Highlights • The approach develops multi-agent systems customized for Parkinson patients. • It was compared with three alternatives by 24 developers and 13 patients.

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Section: Introductionmentioning

confidence: 87%

A model-driven approach for constructing ambient assisted-living multi-agent systems customized for Parkinson patients

García‐Magariño

Palacios-Navarro

2016

Journal of Systems and Software

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“…Experimental results showed that the dispatching rule is superior to conventional rules in terms of the ODR of wafers with high priorities. Considering external interference in scheduling problems, Ni et al [44] introduced a novel scheduling method with real-time order driving to aid manufacturers in responding to real-time orders and then coalesce them into the scheduling problems. Through data-driving methods with two different training patterns, Luo et al [45] developed a learning framework with two stages to predict the parameters of the degradation.…”

Section: Goal-driving Methods In Scheduling Problemsmentioning

confidence: 99%

PSO-SVM Based Performance-Driving Scheduling Method for Semiconductor Manufacturing Systems

Yu,

Jiang,

Zhang

et al. 2023

Applied Sciences

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There are currently many studies on data-driven optimization scheduling, but only a few studies have combined “closed-loop optimization” with “performance-driven”. Therefore, this research proposed a PSO-SVM-based (particle swarm optimization optimized support vector machine) scheduling method that reconciles the composite dispatching rules (CDR), performance-driving ideology, and feedback mechanism ideology. Firstly, the composite dispatching rules coalesce flexible equipment maintenance, multiple process constraints, and dynamic dispatching. Secondly, the performance-driving ideology is carried out through two learning models based on the PSO-SVM algorithm, based on targeted optimizing performances. Thirdly, the feedback mechanism ideology makes the scheduling method realize closed-loop optimizations adaptively. Finally, the superiority of the proposed scheduling method is validated in a semiconductor manufacturing system in China. Compared with CDR, the proposed scheduling method combines MOV, PR, and EU, respectively EU_ O, EU_ P, PCSR and ODR increased by 7.85%, 5.11%, 8.76%, 8.14%, 6.60%, and 7.33%, indicating the superiority of this method.

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A multi-methodological collaborative simulation for inter-organizational supply chain networks

Long

2016

Knowledge-Based Systems

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Development of an Agent-Based Collaborative Production System Based on Real-Time Order-Driven Approach

Cited by 4 publications

References 20 publications

A model-driven approach for constructing ambient assisted-living multi-agent systems customized for Parkinson patients

A model-driven approach for constructing ambient assisted-living multi-agent systems customized for Parkinson patients

PSO-SVM Based Performance-Driving Scheduling Method for Semiconductor Manufacturing Systems

A multi-methodological collaborative simulation for inter-organizational supply chain networks

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