Association rules mining between service demands and remanufacturing services

Zhou, Wenbin; Xia, Xuhui; Zhang, Zelin; Wang, Lei

doi:10.1017/s0890060420000396

Cited by 6 publications

(6 citation statements)

References 32 publications

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“…At the same time, on the basis of referring to the existing research methods of prediction problems, this paper gives the optimization method in this paper. This section will compare several research methods for such problems such as Apriori [35], FP-growth [36], and BPS-ACO [37], to verify the feasibility and adaptability of the proposed methods.…”

Section: Analysis and Discussionmentioning

confidence: 99%

“…Firstly, this paper takes the hit rate as the evaluation index to verify the accuracy of RMPD [37]. A certain number of data is randomly selected from the empirical data as samples, and the accuracy of the demand information can be obtained by comparing the attributes of RMP and recycled products in the product demand information obtained by the method in this paper with the sample data, as shown in Table 6.…”

Section: Analysis and Discussionmentioning

confidence: 99%

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A Product Evolution Rules Based Method for Retired Mechanical Product Demand Acquisition

et al. 2022

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Accurate acquisition of retired mechanical products demand (RMPD) is the basis for realizing effective utilization of remanufacturing service data and improving the feasibility of remanufacturing schemes. Some studies have explored product demands, making product demands an important support for product design and development. However, these studies are obtained through the transformation of customer and market demand information, and few studies are studied from a product perspective. However, remanufacturing services for retired mechanical products (RMP) must consider the impact of the failure characteristics. Consequently, based on the generalized growth of RMP driven by the failure characteristics, the concept of RMPD is proposed in this paper. Then, the improved ant colony algorithm is proposed to mine the generalized growth evolution law of RMP from the empirical data of remanufacturing services, and the RMPD is deduced based on the mapping relationship between the product and its attributes. Finally, the feasibility and applicability of the proposed method are verified by obtaining the demand for retired rolls. In detail, the results show that the proposed method can obtain the RMPD accurately and efficiently, and the performance of the method can be continuously optimized with the accumulation of empirical data.

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Section: Analysis and Discussionmentioning

confidence: 99%

Section: Analysis and Discussionmentioning

confidence: 99%

A Product Evolution Rules Based Method for Retired Mechanical Product Demand Acquisition

et al. 2022

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“…The absolute difference between the comparison sequence and the reference sequence is found, and then the maximum and minimum differences are found [ 27 ]. The absolute difference between the values of the comparison series and the reference series is Formula ( 5 ): …”

Section: Methodsmentioning

confidence: 99%

Coupling development of sports industry and tourism industry based on internet of things

Hu,

Wang,

et al. 2024

PLoS ONE

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This study investigates the positive coupling between the sports industry and tourism, exploring the ways to promote their interconnection. Under state guidance, the integration of sports industry services is facilitated to attract sports culture and tourism fairs, leveraging regional economic development advantages to enhance the industrial market appeal. The emerging leisure consumption mode of sports tourism injects vitality into the economy, fostering the core sports service industry. The coupling of the education and tourism sectors is strategically aligned with long-term national policies. Using IoT technology, this paper employs a grey relational analysis to assess the coupling between the sports industry and tourism, revealing a significant correlation. Experimental results demonstrate a positive coupling trend, likened to conjoined twins with a natural material basis and technical support. This coupling not only aligns with industry trends but also resonates with the "environmental protection era," "green era," and "ecological era," marking a pivotal aspect of industrial development. The study contributes valuable insights into the symbiotic relationship between the sports and tourism industries, emphasizing their interconnectedness and the positive implications for economic and environmental sustainability.

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“…Recently, many scholars in the manufacturing industry have tried to mine multidimensional association rules by bionic algorithms, which achieve significant progress [27,28]. However, the research on mining association rules in remanufacturing is sparse [29]. The absence of common guidelines for the remanufacturing process adds complexity to the problem of remanufacturing.…”

Section: Literature Reviewmentioning

confidence: 99%

Association Rule Mining-Based Generalized Growth Mode Selection: Maximizing the Value of Retired Mechanical Parts

et al. 2023

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Due to the inability to restore the original performance, a significant portion of retired mechanical products is often replaced with new ones and discarded or recycled as low-value materials. This practice leads to energy waste and a decline in their residual value. The generalized growth remanufacturing model (GGRM) presents opportunities to enhance the residual value of retired products and parts. It achieves this by incorporating a broader range of growth modes compared to traditional restorative remanufacturing approaches. The selection of the growth mode is a crucial step to achieve GGRM. However, there is a limited number of growth mode selection methods that are specifically suitable for GGRM. The capacity and efficiency of the method are also significant factors to consider. Therefore, we propose a growth mode selection method based on association rule mining. This method consists of three main steps: Firstly, the ReliefF method is used to select the core failure characteristics of retired parts. Secondly, a genetic algorithm (GA) is employed to identify the association between core failure characteristics, repair technology, and maximum recoverability. Finally, based on the maximum recoverability, the appropriate growth mode is selected for each retired part. We conduct a case study on retired automobile universal transmission, and the results demonstrate the feasibility, efficiency, and accuracy of the proposed method.

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Association rules mining between service demands and remanufacturing services

Cited by 6 publications

References 32 publications

A Product Evolution Rules Based Method for Retired Mechanical Product Demand Acquisition

A Product Evolution Rules Based Method for Retired Mechanical Product Demand Acquisition

Coupling development of sports industry and tourism industry based on internet of things

Association Rule Mining-Based Generalized Growth Mode Selection: Maximizing the Value of Retired Mechanical Parts

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