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学者姓名：刘碧玉
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Abstract ：
Previous studies have extensively examined the pricing decisions for new and remanufactured products while ignoring the manufacturer's leasing strategy and the anticipated regret of consumers generated from various choices, along with the valuation uncertainty of remanufactured products. This study targeted this research gap by investigating pricing decisions with consumers' anticipated regret in a leasing-selling closed-loop supply chain (LSCLSC) wherein the manufacturer has four strategies: selling new and leasing remanufactured products (NR), selling and leasing new products (NN), selling remanufactured and leasing new products (RN), and selling and leasing remanufactured products (RR). Subsequently, these strategies were compared and the impact of anticipated regret was revealed. The results show that (1) the NN and RN strategies were the optimal leasing-selling strategies. (2) Consumers' anticipated regret was not always detrimental to the manufacturer. Under the NN and RN strategies, when consumers value remanufactured products more in the selling model than the leasing model, the manufacturer can reduce production costs and leverage consumers' anticipated regret, thereby increasing sales and rental prices and improving profits. However, when consumers value remanufactured products less in the selling model than the leasing model, anticipated regret has adverse effects. Therefore, manufacturers should decrease consumer sensitivity to anticipated regret to maximize profits. Our results provide timely insights for manufacturers to manage LSCLSC considering anticipated regret.
Keyword ：
consumers' anticipated regret consumers' anticipated regret leasing-selling closed-loop supply chain leasing-selling closed-loop supply chain new/remanufactured products new/remanufactured products pricing decisions pricing decisions valuation uncertainty valuation uncertainty
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| GB/T 7714 | Liu, Biyu , Xue, Jianmin , Yang, Haidong et al. Pricing Decisions for New/Remanufactured Products in a Leasing-Selling Closed-Loop Supply Chain With Consumers' Anticipated Regret [J]. | MANAGERIAL AND DECISION ECONOMICS , 2025 , 46 (7) : 3763-3782 . |
| MLA | Liu, Biyu et al. "Pricing Decisions for New/Remanufactured Products in a Leasing-Selling Closed-Loop Supply Chain With Consumers' Anticipated Regret" . | MANAGERIAL AND DECISION ECONOMICS 46 . 7 (2025) : 3763-3782 . |
| APA | Liu, Biyu , Xue, Jianmin , Yang, Haidong , Ding, Junfei . Pricing Decisions for New/Remanufactured Products in a Leasing-Selling Closed-Loop Supply Chain With Consumers' Anticipated Regret . | MANAGERIAL AND DECISION ECONOMICS , 2025 , 46 (7) , 3763-3782 . |
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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
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| 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 . |
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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
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| 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 . |
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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
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| 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 . |
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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
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| 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 . |
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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
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| 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 . |
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Flood susceptibility assessment is the premise and foundation to prevent flood disaster events effectively. To accurately assess urban flood susceptibility (UFS), this study first analyzes the advantages and disadvantages of multi-layer perceptron (MLP), and light gradient boosting machine (LightGBM), and designs a new integrated machine learning method by combining logistic regression (LR) method, i.e., LG-MLP-LR. Then, we verify the performance of LG-MLP-LR by taking the flood disaster events in Fuzhou from 2013 to 2016 as example and analyze the contribution of flood conditioning factors by calculating the SHapley Additive exPlanations values. Finally, the assessment results are compared with MLP, LightGBM, XG-MLP-LR, and CB-MLP-LR. The results show that (1) the selected flood conditioning factors can accurately depict the UFS of the study area; (2) compared with MLP, LightGBM, XG-MLP-LR, and CB-MLP-LR, the assessment results by LG-MLP-LR have higher average accuracy (94.950%) and higher average AUC (98.813%); (3) the factors affecting the occurrence and damage degree of flood disaster events in Fuzhou from 2013 to 2016 were elevation, topographic wetness index, maximum one-day rainfall, and stream power index, respectively. This study provides a new idea and method for the effective prevention and control of flood disasters in cities.
Keyword ：
Light gradient boosting machine Light gradient boosting machine Logistic regression Logistic regression Multi-layer perceptron Multi-layer perceptron Shapley Additive exPlanations Shapley Additive exPlanations Urban flood susceptibility Urban flood susceptibility
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| GB/T 7714 | Yang, Haidong , Zou, Ting , Liu, Biyu . Assessment of urban flood susceptibility based on a novel integrated machine learning method [J]. | ENVIRONMENTAL MONITORING AND ASSESSMENT , 2024 , 197 (1) . |
| MLA | Yang, Haidong et al. "Assessment of urban flood susceptibility based on a novel integrated machine learning method" . | ENVIRONMENTAL MONITORING AND ASSESSMENT 197 . 1 (2024) . |
| APA | Yang, Haidong , Zou, Ting , Liu, Biyu . Assessment of urban flood susceptibility based on a novel integrated machine learning method . | ENVIRONMENTAL MONITORING AND ASSESSMENT , 2024 , 197 (1) . |
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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 ：
Decision making Decision making Emergency services Emergency services Oil spills Oil spills Water distribution systems Water distribution systems Water pollution Water pollution
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| GB/T 7714 | Yang, Haidong , Wang, Aihua , Liu, Biyu . Emergency monitoring layout model for sudden water pollution accidents in water distribution networks [J]. | Water Supply , 2024 , 27 (7) : 2204-2217 . |
| MLA | Yang, Haidong et al. "Emergency monitoring layout model for sudden water pollution accidents in water distribution networks" . | Water Supply 27 . 7 (2024) : 2204-2217 . |
| APA | Yang, Haidong , Wang, Aihua , Liu, Biyu . Emergency monitoring layout model for sudden water pollution accidents in water distribution networks . | Water Supply , 2024 , 27 (7) , 2204-2217 . |
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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
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| 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 . |
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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
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| 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 . |
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