Sustainable closed-loop supply chain network optimization for construction machinery recovering

Sadrnia, Abdolhossein; Sani, Amirreza Payandeh; Langarudi, Najme Roghani

doi:10.3934/jimo.2020074

Cited by 15 publications

(6 citation statements)

References 57 publications

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“…According to the company's construction and needs, the warehousing staff will provide asset in and out services. During this process, the warehouse ledger data for the metered asset is updated and maintained [11][12].…”

Section: Business Analysismentioning

confidence: 99%

Optimization of intelligent supply chain of metering materials based on data mining technology

song²,

Sun³

et al. 2022

Third International Conference on Computer Communication and Network Security (CCNS 2022)

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Metering asset equipment is an important basis for building a smart grid, and is mainly used for power metering at power supply terminals. Due to the big difference between the inventory management requirements of metering asset equipment and other materials of power supply enterprises, for example, it needs to be stored in special storage areas, warehouses and storage spaces. Therefore, it is usually necessary to use a dedicated inventory business for management. The main purpose of this paper is to optimize the intelligent supply chain of metering materials based on data mining technology. This paper mainly analyzes the organizational performance of the smart supply chain and the differences in metering materials. During the 10 iterations of the experiment, the maximum and average response times of the system gradually increased with the number of concurrent users. 1.965s and 1.224s, the maximum response time of which did not exceed the preset 3s target value, so the performance test passed.

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Section: Business Analysismentioning

confidence: 99%

Optimization of intelligent supply chain of metering materials based on data mining technology

song²,

Sun³

et al. 2022

Third International Conference on Computer Communication and Network Security (CCNS 2022)

View full text Add to dashboard Cite

show abstract

“…The inference engine is responsible for acquiring knowledge from the knowledge base, and reasoning and diagnosing faults according to the user input received by the man-machine interface. The inference engine in the system consists of two parts, one part is used for simple rule reasoning in conventional systems, and the other part is used for fuzzy reasoning with fuzzy neural network to complete intelligent FD [14][15].…”

Section: Demand Analysis Of Fd Of CMmentioning

confidence: 99%

Design and Implementation of Intelligent Fault Diagnosis System for Construction Machinery Supporting Wireless Communication Network

2020

KME

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The traditional fault diagnosis(FD) system of construction machinery(CM) is not competent for the task of FD of modern construction equipment because of its own bottleneck. Nowadays, the computer network information technology and wireless communication technology are highly developed, so it is the development trend and trend of mechanical FD technology to design a FD system based on wireless communication network for CM. The FD system in this paper is constructed based on wireless communication network and fuzzy FD method, which is used for FD and maintenance of CM and equipment, and realizes intelligent collection of mechanical fault data in construction site. By testing the performance of the system and the accuracy of the FD model, it shows that the system performance test is good, and the FD rate is over 90%, which can meet the system objectives and requirements.

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“…Entrepreneurial enterprises are an important force in promoting technological innovation and high-quality industrial development in China [1]. In the era of open innovation, innovation in enterprises is no longer the task of a single organization, but the task of an innovation ecosystem that spans multiple organizations [2][3].…”

Section: Introductionmentioning

confidence: 99%

Self-employment in the Construction Machinery Industry with Blockchain Technology in Mind

2022

KME

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Although the product varieties of China's construction machinery industry are diversified, they lack the ability of independent innovation. The data among the blockchain can meet the requirements of investors and creditors and stakeholders for the reliability of financial information. Therefore, this paper takes into account the blockchain technology to explore and study the independent entrepreneurship of construction machinery industry. This paper discusses self-employment in three parts: the basic overview of self-employment in construction machinery, the construction of blockchain system and the analysis of self-employment results. Through the comparative analysis of inventory models, it is found that the information interaction system based on blockchain technology can make collective decisions based on real business information.

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Sustainable closed-loop supply chain network optimization for construction machinery recovering

Cited by 15 publications

References 57 publications

Optimization of intelligent supply chain of metering materials based on data mining technology

Optimization of intelligent supply chain of metering materials based on data mining technology

Design and Implementation of Intelligent Fault Diagnosis System for Construction Machinery Supporting Wireless Communication Network

Self-employment in the Construction Machinery Industry with Blockchain Technology in Mind

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