An Edge-Based Distributed Decision-Making Method for Product Design Scheme Evaluation

Lou, Shanhe; Feng, Ying; Li, Zhiwu; Zheng, Hao; Gao, Yicong; Tan, Jianrong

doi:10.1109/tii.2020.2983979

Cited by 44 publications

(9 citation statements)

References 37 publications

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“…In the index classification of wireless communication systems, the "weight" value of different levels of decision-making is calculated according to the relevant theoretical knowledge of interval numbers. en, the effectiveness of the system is evaluated using AHP [30].…”

Section: Interval Number Analytic Hierarchy Processmentioning

confidence: 99%

Decision Model of Wireless Communication Scheme Evaluation via Interval Number

Ouyang

Kang

et al. 2022

Security and Communication Networks

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This study aims to evaluate the communication schemes of wireless communication systems to make reasonable decisions. Firstly, the wireless communication scheme is assessed based on the interval number technology, and the primary evaluation process and evaluation index system are described. Secondly, the analytic hierarchy process of interval numbers is studied. Besides, a decision model has been established for wireless communication scheme evaluation. Thirdly, the evaluation index of the wireless communication scheme is determined through the simulation analysis of the model. Finally, experiments verify the decision model for evaluating wireless communication schemes based on interval numbers. Channel encoding can be adjusted automatically and can effectively track electrical signals. The results demonstrate that under the same high signal-to-noise ratio (SNR), the error rate in the 16 quadrature amplitude modulation (QAM) mode decreases faster than that in the 2 frequency shift keying (FSK) mode, so the 16QAM mode is better than the 2FSK mode. Under a low SNR, the binary phase shift keying mode is superior to the 2FSK mode, and the 2FSK mode is superior to the 16QAM mode. The bit error rate of the communication signal in the additive white Gaussian noise channel is the lowest. These findings provide a solid foundation for a universal and scalable wireless communication system. This research has practical application value for scheme evaluation and model decision-making in the wireless communication field. Models need to be tested and evaluated based on large amounts of statistical data in future studies.

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Section: Interval Number Analytic Hierarchy Processmentioning

confidence: 99%

Decision Model of Wireless Communication Scheme Evaluation via Interval Number

Ouyang

Kang

et al. 2022

Security and Communication Networks

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“…The data coming from the monitoring process can be transferred through communication systems to a database where they can be transformed into knowledge available for employees. Knowledge management is important from many perspectives, for example, in the management of product lifecycle data and in supporting related decision-making processes [ 66 ]. Therefore, products can be better-suited to changing requirements.…”

Section: Discussionmentioning

confidence: 99%

Possible Applications of Edge Computing in the Manufacturing Industry—Systematic Literature Review

Kubiak

Dec

Stadnicka

2022

Sensors

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This article presents the results of research with the main goal of identifying possible applications of edge computing (EC) in industry. This study used the methodology of systematic literature review and text mining analysis. The main findings showed that the primary goal of EC is to reduce the time required to transfer large amounts of data. With the ability to analyze data at the edge, it is possible to obtain immediate feedback and use it in the decision-making process. However, the implementation of EC requires investments not only in infrastructure, but also in the development of employee knowledge related to modern computing methods based on artificial intelligence. As the results of the analyses showed, great importance is also attached to energy consumption, both in ongoing production processes and for the purposes of data transmission and analysis. This paper also highlights problems related to quality management. Based on the analyses, we indicate further research directions for the application of edge computing and associated technologies that are required in the area of intelligent resource scheduling (for flexible production systems and autonomous systems), anomaly detection and resulting decision making, data analysis and transfer, knowledge management (for smart designing), and simulations (for autonomous systems).

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“…As a key stage in product development, the design stage is the most appropriate phrase to perfome module task. 36 Although physical details of products are unavailable. The proposed method could divide a new product into modules with CAD models at the design stage.…”

Section: Discussionmentioning

confidence: 99%

Modular design for optimum granularity with auto-generated DSM and improved elbow assessment method

Wei

2021

Proceedings of the Institution of Mechanical Engineers, Part B:

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To cope with an increasingly competitive market environment, manufacturers are utilizing modular technology to guide the production process, and a vital activity in the module partition is to determine the optimal granularity levels. A modular design methodology is developed for obtaining the optimal granularity of a modularized architecture in this paper. A relationship extraction solution is executed to automatically construct the design structure matrix (DSM) from the 3D CAD assembly model. Hierarchical clustering algorithm is implemented to form a hierarchical dendrogram with different granularity levels. An improved Elbow method is proposed to determine the optimum granularity level and corresponding modularity spectrum during the dendrogram process. The computational framework for hierarchical clustering and modularization with improved Elbow assessment operators is explained. Based on a existing literature example and a jaw crusher modular design case, comparative studies are carried out to verify the effectiveness and practicality of the proposed method. The methodology is characterized by running independently on the computer in data visualization format without human involvement, and the obtained result with optimized granularity favor further modular design work.

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An Edge-Based Distributed Decision-Making Method for Product Design Scheme Evaluation

Cited by 44 publications

References 37 publications

Decision Model of Wireless Communication Scheme Evaluation via Interval Number

Decision Model of Wireless Communication Scheme Evaluation via Interval Number

Possible Applications of Edge Computing in the Manufacturing Industry—Systematic Literature Review

Modular design for optimum granularity with auto-generated DSM and improved elbow assessment method

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