Query：
学者姓名：刘碧玉
Refining：
Year
Type
Indexed by
Source
Complex
Former Name
Co-
Language
Clean All
Abstract ：
Evaluating and improving the performance of green development (GD) is essential for the government to formulate sustainable development policies. This study first analyzes the connotation and structures of GD from systemic perspective. Secondly, based on the two-stage eco-inefficiency (TE) model, non-cooperative theory, the correlation coefficient and standard deviation, and fuzzy set qualitative comparative analysis method (fsQCA), an improved integrated method, i.e., ITNE-fsQCA, is proposed. Thirdly, the validity and accuracy of ITNE-fsQCA are verified using the data from 30 Chinese provinces in 2020, and the results are compared with those obtained from TE and two-stage non-cooperative eco-inefficiency (TNE). Finally, the driving types and configuration pathway are discussed based on ITNE-fsQCA. The results show that: (1) compared to TE and TNE, ITNE-fsQCA helps to avoid the overestimation/underestimation of inefficiency in complex systems; (2) there are 8 configuration pathways that can effectively improve GD performance in 30 Chinese provinces in 2020, and these pathways are categorized into 4 driving types; (3) the enhancement of green technology innovation plays a crucial role in provincial sustainable development; and (4) the provincial GD inefficiencies in China are manifest various combinatorial forms. These findings provide the government with innovative ideas and methodologies for formulating sustainable development policies.
Keyword ：
Fuzzy set qualitative comparative analysis method Fuzzy set qualitative comparative analysis method Green development Green development Green technology innovation Green technology innovation Non-cooperative theory Non-cooperative theory Two-stage eco-inefficiency model Two-stage eco-inefficiency model
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Yang, Haidong , Zhang, Xiangle , Lao, Quanchu et al. How to accurately evaluate and effectively improve the performance of provincial green development in China? An improved integrated method [J]. | ENERGY POLICY , 2025 , 198 . |
| MLA | Yang, Haidong et al. "How to accurately evaluate and effectively improve the performance of provincial green development in China? An improved integrated method" . | ENERGY POLICY 198 (2025) . |
| APA | Yang, Haidong , Zhang, Xiangle , Lao, Quanchu , Liu, Biyu . How to accurately evaluate and effectively improve the performance of provincial green development in China? An improved integrated method . | ENERGY POLICY , 2025 , 198 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
In a manufacturing/remanufacturing leasing system, quality of collected end-of-life leased products is uncertain due to lessees-differentiated demands. Quality affects remanufacturing cost and degradation level of remanufacturing equipment, which in turn affects production and maintenance decisions of equipment and carbon emissions during manufacturing/remanufacturing. A production and maintenance decision-making model is proposed to maximise lessor's profit by considering production, maintenance, carbon emission costs of manufacturing/remanufacturing equipment, inventory and maintenance costs of leased products. The optimal production quantity and preventive maintenance (PM) period for manufacturing/remanufacturing equipment, and remanufacturing cost threshold of leased products are obtained by solving the model with particle swarm optimisation algorithm. The impacts of lease period and PM period for leased products on the decision-makings, lessor's profit and carbon emissions are analysed. The results show: (1) as remanufacturing cost threshold rises, more remanufactured products shall replace new products, and PM period for remanufacturing equipment is significantly shortened; (2) lessor's profit increases first and then decreases as remanufacturing cost threshold increases, while carbon emissions during manufacturing/remanufacturing always decrease; (3) remanufacturing cost threshold shall be set within a moderate range to balance the production and maintenance costs of manufacturing/remanufacturing equipment; (4) extending the lease period and adopting the optimal PM period for the leased products can improve lessor's profit. Strengthening PM for manufacturing/remanufacturing equipment can reduce carbon emissions.
Keyword ：
Carbon emission Carbon emission Leasing Leasing Production and maintenance Production and maintenance Quality uncertainty Quality uncertainty Remanufacturing Remanufacturing
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Liu, Yanping , Liu, Biyu , Yang, Haidong et al. Optimal production and maintenance strategies for manufacturing/ remanufacturing leasing system considering uncertain quality and carbon emission [J]. | INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS , 2025 , 280 . |
| MLA | Liu, Yanping et al. "Optimal production and maintenance strategies for manufacturing/ remanufacturing leasing system considering uncertain quality and carbon emission" . | INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS 280 (2025) . |
| APA | Liu, Yanping , Liu, Biyu , Yang, Haidong , Luo, Kai . Optimal production and maintenance strategies for manufacturing/ remanufacturing leasing system considering uncertain quality and carbon emission . | INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS , 2025 , 280 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
The burgeoning field of the Industrial Internet of Things (IIoT) necessitates advanced fault diagnosis methods capable of navigating the dual challenges of high predictive accuracy and the constraints of edge computing environments. Our study introduces Wave-ConvNeXt, a novel fault diagnosis model that seamlessly integrates the state-of-the-art ConvNeXt architecture with Wavelet Transform. This innovative model stands out for its lightweight design yet delivers exceptional accuracy in fault diagnosis. In Wave-ConvNeXt, we re-engineer the ConvNeXt model for IIoT applications by adopting onedimensional convolution, tailored for processing high-frequency, non-periodic inputs. This adaptation is complemented by replacing the traditional “patchify” layer with a Wavelet transform layer, which simplifies input signals into sub-signals, thereby easing learning complexities and diminishing the dependence on elaborate deep architectures. Further enhancing this model, we incorporate a squeeze-and-excitation module, enriching its ability to prioritize channel-wise feature relevance, akin to self-attention mechanisms. This integration is rigorously validated through an ablation study. Wave-ConvNeXt epitomizes a holistic approach, enabling an end-to-end optimization of feature learning and fault classification. Our empirical analysis on two real-world IIoT datasets demonstrates Wave-ConvNeXt’s superiority over existing models. It not only elevates prediction accuracy but also significantly curtails computational complexity. Additionally, our exploration into the impact of various mother wavelets reveals the effectiveness of using wavelet basis functions with smaller support, bolstering diagnostic precision. The source code of Wave-ConvNeXt is available at https://github.com/leviszhang/waveConvNeXt. Authors
Keyword ：
Computational Efficiency Computational Efficiency Computational modeling Computational modeling Computer architecture Computer architecture Continuous wavelet transforms Continuous wavelet transforms ConvNeXt Architecture ConvNeXt Architecture Fault diagnosis Fault diagnosis Fault Diagnosis Fault Diagnosis Industrial Internet of Things Industrial Internet of Things Industrial Internet of Things (IIoT) Industrial Internet of Things (IIoT) Time-frequency analysis Time-frequency analysis Transforms Transforms Wavelet Transform Wavelet Transform
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Zhang, L. , Lin, J. , Yang, Z. et al. Wave-ConvNeXt: An Efficient and Precise Fault Diagnosis Method for IIoT Leveraging Tailored ConvNeXt and Wavelet Transform [J]. | IEEE Internet of Things Journal , 2024 , 11 (13) : 1-1 . |
| MLA | Zhang, L. et al. "Wave-ConvNeXt: An Efficient and Precise Fault Diagnosis Method for IIoT Leveraging Tailored ConvNeXt and Wavelet Transform" . | IEEE Internet of Things Journal 11 . 13 (2024) : 1-1 . |
| APA | Zhang, L. , Lin, J. , Yang, Z. , Shao, H. , Liu, B. , Li, C. . Wave-ConvNeXt: An Efficient and Precise Fault Diagnosis Method for IIoT Leveraging Tailored ConvNeXt and Wavelet Transform . | IEEE Internet of Things Journal , 2024 , 11 (13) , 1-1 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
The increase in e-commerce and online shopping has resulted in a significant amount of packaging waste from express delivery, posing a considerable burden on the environment. To address this issue, reusable express packaging has emerged as one of potential solutions to reduce packaging waste in express delivery. This study analyzes the evolutionary stability strategy of local governments and express delivery enterprises by constructing an evolutionary game model. The model considers the limited rationality and group behavior of decision makers, as well as the economies of scale and diseconomies of scale in operating cost of reusable express packaging. Results indicate that the variability in the cost of reusable express packaging may lead to the simultaneous emergence of two evolutionary stability strategies, contrasting traditional evolutionary game studies. Due to the present low uptake of reusable express packaging among express companies, coupled with the lack of subsidies support from local governments, it is difficult to attain the optimal situation in which businesses actively utilize reusable express packaging. To accomplish this objective, it is crucial to establish subsidy amounts that are balanced and reasonable, rather than merely elevating them to the highest possible levels. The study proposes an optimal range for government subsidy levels and gives corresponding policy suggestions.
Keyword ：
Evolutionary game Evolutionary game Express delivery Express delivery Green logistics Green logistics Reusable express packaging Reusable express packaging Subsidy policy Subsidy policy
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Sun, Hong , Liu, Biyu , Jiang, Peng et al. Evolutionary game analysis of government subsidies for reusable express packaging promotion [J]. | CLEANER LOGISTICS AND SUPPLY CHAIN , 2024 , 13 . |
| MLA | Sun, Hong et al. "Evolutionary game analysis of government subsidies for reusable express packaging promotion" . | CLEANER LOGISTICS AND SUPPLY CHAIN 13 (2024) . |
| APA | Sun, Hong , Liu, Biyu , Jiang, Peng , He, Qingsong . Evolutionary game analysis of government subsidies for reusable express packaging promotion . | CLEANER LOGISTICS AND SUPPLY CHAIN , 2024 , 13 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
For a capital-constrained manufacturer, in the context of carbon reduction, whether products should be sold or leased and which financing mode is more beneficial are usually debated. By considering Carbon Emission Permits Repurchase Financing (CEPRF) and Green Credit Financing (GCF), the optimal decision-making models with different strategies are presented. The Karush-Kuhn-Tucker theorem is applied and the results are compared. Meanwhile, the influence of initial capital and interest rates on the manufacturer's decision-makings, profits, and environment are explored. The results show that: under the selling strategy, when the initial capital is small, GCF is better for the manufacturer; otherwise, CEPRF is better; under the leasing strategy, both optimal production and carbon reduction investment with CEPRF are lower than that with GCF, but their profits are higher. With CEPRF, the leasing strategy would bring more economic and environmental benefits to the manufacturer; with GCF, the selling strategy would result in more economic and environment benefits.
Keyword ：
capital constraint capital constraint carbon reduction investment decision carbon reduction investment decision financing mode financing mode leasing and selling leasing and selling production decision production decision
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Liu, Biyu , Shi, Yaling , Yang, Haidong . Optimal production and carbon reduction investment decision for manufacturers with leasing-selling strategies considering financing [J]. | INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH , 2024 , 32 (5) : 3168-3196 . |
| MLA | Liu, Biyu et al. "Optimal production and carbon reduction investment decision for manufacturers with leasing-selling strategies considering financing" . | INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH 32 . 5 (2024) : 3168-3196 . |
| APA | Liu, Biyu , Shi, Yaling , Yang, Haidong . Optimal production and carbon reduction investment decision for manufacturers with leasing-selling strategies considering financing . | INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH , 2024 , 32 (5) , 3168-3196 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
The burgeoning field of the Industrial Internet of Things (IIoT) necessitates advanced fault diagnosis methods capable of navigating the dual challenges of high-predictive accuracy and the constraints of edge computing environments. Our study introduces Wave-ConvNeXt, a novel fault diagnosis model that seamlessly integrates the state-of-the-art ConvNeXt architecture with Wavelet Transform. This innovative model stands out for its lightweight design yet delivers exceptional accuracy in fault diagnosis. In Wave-ConvNeXt, we re-engineer the ConvNeXt model for IIoT applications by adopting 1-D convolution, tailored for processing high-frequency, nonperiodic inputs. This adaptation is complemented by replacing the traditional "patchify" layer with a Wavelet transform layer, which simplifies input signals into subsignals, thereby easing learning complexities and diminishing the dependence on elaborate deep architectures. Further enhancing this model, we incorporate a squeeze-and-excitation module, enriching its ability to prioritize channelwise feature relevance, akin to self-attention mechanisms. This integration is rigorously validated through an ablation study. Wave-ConvNeXt epitomizes a holistic approach, enabling an end-to-end optimization of feature learning and fault classification. Our empirical analysis on two real-world IIoT data sets demonstrates Wave-ConvNeXt's superiority over existing models. It not only elevates prediction accuracy but also significantly curtails computational complexity. Additionally, our exploration into the impact of various mother wavelets reveals the effectiveness of using wavelet basis functions with smaller support, bolstering diagnostic precision. The source code of Wave-ConvNeXt is available at https://github.com/leviszhang/waveConvNeXt.
Keyword ：
Computational efficiency Computational efficiency ConvNeXt architecture ConvNeXt architecture fault diagnosis fault diagnosis Industrial Internet of Things (IIoT) Industrial Internet of Things (IIoT) wavelet transform wavelet transform
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Zhang, Liangwei , Lin, Jing , Yang, Zhe et al. Wave-ConvNeXt: An Efficient and Precise Fault Diagnosis Method for IIoT Leveraging Tailored ConvNeXt and Wavelet Transform [J]. | IEEE INTERNET OF THINGS JOURNAL , 2024 , 11 (13) : 23096-23109 . |
| MLA | Zhang, Liangwei et al. "Wave-ConvNeXt: An Efficient and Precise Fault Diagnosis Method for IIoT Leveraging Tailored ConvNeXt and Wavelet Transform" . | IEEE INTERNET OF THINGS JOURNAL 11 . 13 (2024) : 23096-23109 . |
| APA | Zhang, Liangwei , Lin, Jing , Yang, Zhe , Shao, Haidong , Liu, Biyu , Li, Chuan . Wave-ConvNeXt: An Efficient and Precise Fault Diagnosis Method for IIoT Leveraging Tailored ConvNeXt and Wavelet Transform . | IEEE INTERNET OF THINGS JOURNAL , 2024 , 11 (13) , 23096-23109 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
The layout of emergency monitoring points (EMPs) in water distribution networks is one of the main measures to ensure the water safety of residents and preserve the sustainable development of cities and society. The impact factors on the layout of EMPs are first analyzed. Then, a new emergency monitoring layout model is presented with the goal of maximizing the number of the excluded possible sources and minimizing the formulated time of emergency response. Finally, taking EPANET Network 3 as a simulation case to verify the proposed model. The results show the new layout model can effectively exclude 60% of the number of possible sources, and shorten 18% of the formulated time of emergency response measure. There are many factors that affect the layout of EMPs, which mainly include the time of arranging EMPs, the latest time to formulate the emergency response measure, the number of emergency monitoring equipment available, and the relative error criteria of pollutant concentration, from apparently to slightly. It provides a new idea for emergency decision-makers to deal with sudden water pollution accidents in water distribution networks. © 2024 The Authors.
Keyword ：
emergency monitoring points emergency monitoring points emergency response time emergency response time layout model layout model sudden water pollution accidents sudden water pollution accidents water distribution network water distribution network
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Yang, H. , Wang, A. , Liu, B. . Emergency monitoring layout model for sudden water pollution accidents in water distribution networks [J]. | Water Supply , 2024 , 27 (7) : 2204-2217 . |
| MLA | Yang, H. et al. "Emergency monitoring layout model for sudden water pollution accidents in water distribution networks" . | Water Supply 27 . 7 (2024) : 2204-2217 . |
| APA | Yang, H. , Wang, A. , Liu, B. . Emergency monitoring layout model for sudden water pollution accidents in water distribution networks . | Water Supply , 2024 , 27 (7) , 2204-2217 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
Periodic payment for leased equipment may lead to capital constraint for lessors. In view of preventive maintenance (PM) strategy and lessees' options, the impact of different financing modes on lessor's pricing decisionmaking for leased equipment is studied. By considering the impact of age and usage on PM strategy and lessees' revenue, and lessees -different options to return, renew or purchase leased equipment after the lease expires, a game -theoretic model with respect to advance payment, bank loan and mixed financing modes is presented. The lessor's optimal pricing and financing strategies, as well as lessees' options are obtained by using noncooperative game, cooperative game and transfer -payment contract. The results show: (1) with the increase of bargaining level, the periodic rental price decreases; Under non -cooperative game, lessees renew the equipment first and then purchase it, while under cooperative game lessees always renew the lease. The lessor can motivate lessees to participate in cooperation through appropriate transfer -payment contract; (2) as the advance payment discount increases, the lessor shifts from advance payment to bank loan financing mode under non -cooperative game, while always adopts a financing mode including advance payment under cooperative game. Both leasing parties accept the advance payment financing mode only when the advance payment discount is within a certain range; (3) the increased usage of leased equipment brings larger PM and corrective maintenance (CM) burden to the lessor, which affects lessees' options and both leasing parties' profits. The lessor shall measure the PM and CM costs of leased equipment to maximize the profit.
Keyword ：
Game-theoretic Game-theoretic Leasing Leasing Lessees' options Lessees' options Preventive maintenance Preventive maintenance Pricing and financing Pricing and financing
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Liu, Yanping , Liu, Biyu , Yang, Haidong . Optimal pricing and financing strategies for leased equipment considering maintenance and lessees' options [J]. | INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS , 2024 , 269 . |
| MLA | Liu, Yanping et al. "Optimal pricing and financing strategies for leased equipment considering maintenance and lessees' options" . | INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS 269 (2024) . |
| APA | Liu, Yanping , Liu, Biyu , Yang, Haidong . Optimal pricing and financing strategies for leased equipment considering maintenance and lessees' options . | INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS , 2024 , 269 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
After the expiration of each lease, lessees may return leased equipment on schedule, renew the lease or purchase it according to the equipment status and their demands. By considering lessees' uncertain options and equipment status difference, the pricing and inventory decision-makings of leased equipment are explored. A mixed-integer nonlinear programming model by maximising the net present value of lessor's profit is presented with respect to constraints like rental revenue, manufacturing, lessees' credit check, transportation, maintenance, upgrade and inventory costs. The rental price and inventory decisions are obtained by solving the problem with a particle swarm optimisation algorithm. We also analyse the impacts of purchasing cost of old equipment from a third-party supplier on lessor's inventory, renewal price or purchasing price of leased equipment on lessees' options and lessor's profit. The results show: (1) with the extension of lease period, the rental price increases while the growth rate decreases; (2) the maintenance cost accounts for about 20% of total cost, and the preventive maintenance strategy can reduce excess maintenance cost as lease period increases; (3) the lessor shall set moderate renewal price discount coefficient and purchasing price coefficient, and analyse purchasing cost of old equipment to manage inventory timely.
Keyword ：
leasing leasing lessees' options lessees' options particle swarm optimisation algorithm particle swarm optimisation algorithm preventive maintenance preventive maintenance Pricing and inventory Pricing and inventory
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Liu, Yanping , Liu, Biyu , Yang, Haidong et al. Optimal pricing and inventory strategies for leased equipment considering lessees' options [J]. | INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH , 2024 , 62 (19) : 7261-7278 . |
| MLA | Liu, Yanping et al. "Optimal pricing and inventory strategies for leased equipment considering lessees' options" . | INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 62 . 19 (2024) : 7261-7278 . |
| APA | Liu, Yanping , Liu, Biyu , Yang, Haidong , Luo, Kai . Optimal pricing and inventory strategies for leased equipment considering lessees' options . | INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH , 2024 , 62 (19) , 7261-7278 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
Scientific evaluation for the efficiency of green low-carbon innovative development (GLID) has great significance for promoting sustainable development (SD). The connotation and composition of GLID were first analyzed, and GLID was regarded as a two-stage complex system, in which multi-input coexists with multi-output. Based on the existing methods, an improved two-stage non-cooperative data envelopment analysis (ITNDEA) is further pro-posed to measure GLID efficiency by taking 30 Chinese provinces in 2020 as cases, and the results are finally compared with that by two-stage data envelopment analysis (TDEA) and two-stage non-cooperative data envelopment analysis (TNDEA). The results show that: (1) ITNDEA effectively avoids the efficiency being overestimated or underestimated and can obtain a more objective and reasonable efficiency value than TDEA and TNDEA; (2) The main reason of the low GLID efficiency is the imbalance between green technology innovation and carbon emission; (3) Each policy goal has a good effect on efficiency improvement, but the effect of the same policy goal has regional difference; (4) All regions/countries can improve SD level through key breakthrough mode and gradual breakthrough mode. The results provide the government with a new idea and method to formulate SD policies.
Keyword ：
analysis analysis Carbon emission Carbon emission Efficiency evaluation Efficiency evaluation Green technology innovation Green technology innovation Sustainable development Sustainable development Two -stage non -cooperative data envelopment Two -stage non -cooperative data envelopment
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Yang, Haidong , Zhang, Xiangle , Liu, Biyu et al. Evaluation of green low-carbon innovation development efficiency: An improved two-stage non-cooperative DEA model [J]. | JOURNAL OF CLEANER PRODUCTION , 2023 , 400 . |
| MLA | Yang, Haidong et al. "Evaluation of green low-carbon innovation development efficiency: An improved two-stage non-cooperative DEA model" . | JOURNAL OF CLEANER PRODUCTION 400 (2023) . |
| APA | Yang, Haidong , Zhang, Xiangle , Liu, Biyu , Huang, Yilin . Evaluation of green low-carbon innovation development efficiency: An improved two-stage non-cooperative DEA model . | JOURNAL OF CLEANER PRODUCTION , 2023 , 400 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Export
| Results： |
Selected to |
| Format： |
