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学者姓名：杨海东
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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
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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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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 . |
| 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 (2024) . |
| 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 . |
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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 ：
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
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| 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 . |
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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
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| 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 . |
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在专利授权下，实施不同碳排放政策将对制造商和再制造商运营决策造成影响。针对无碳排放约束、实施碳税以及碳限额与交易政策三种情形，分别构建由制造商和被授权再制造商组成的Stackelberg博弈模型，研究碳排放政策对两者运营决策的影响。结果表明：(1)有无碳政策约束对新品数量、回收价格、再制品价格、专利许可费以及两者利润影响较大，对再制品数量影响较小；(2)碳限额与交易政策下两者利润最大，政府可优先考虑实施该政策；(3)碳限额、碳权交易价格、单位新品/再制品碳排放量、碳税税率等对双方决策和利润影响较大，合理分配碳限额，维持碳权交易市场秩序，设定税率是关键；(4)再制造商应致力于提高再制造率，可改善双方利润，自身利润提高更多。
Keyword ：
Stackelberg博弈 Stackelberg博弈 专利授权 专利授权 再制造 再制造 碳排放政策 碳排放政策 运营决策 运营决策
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| GB/T 7714 | 刘碧玉 , 杨海东 , 柯迪 . 专利授权下碳排放政策对制造商/再制造商运营决策的影响 [J]. | 中国管理科学 , 2023 , 31 (05) : 198-208 . |
| MLA | 刘碧玉 et al. "专利授权下碳排放政策对制造商/再制造商运营决策的影响" . | 中国管理科学 31 . 05 (2023) : 198-208 . |
| APA | 刘碧玉 , 杨海东 , 柯迪 . 专利授权下碳排放政策对制造商/再制造商运营决策的影响 . | 中国管理科学 , 2023 , 31 (05) , 198-208 . |
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Abstract ：
在二维租赁合同中，针对产品在租赁期到达前达到额定使用量，而承租方因为工期等客观原因，需要延长租赁时间的情形，构建以基本租赁和延长租赁两阶段的预防性维修次数和维修程度为决策变量，以出租方维修成本最小化为目标的预防性维修决策模型。在基本租赁阶段，为了达到承租方要求的产品性能，以可靠性阈值作为限制进行非周期性预防维修；在延长租赁阶段，为了降低自身责任以及避免承租人过度使用带来更多故障，采用周期性预防维修。最后与几种常见策略比较，验证了优化效果，并通过算例分析使用率阈值变化对优化效果的影响，确定了达到理想优化效果的最佳使用率范围，为出租方针对不同使用率客户制定合理的租赁产品维修策略提供了相应建议。
Keyword ：
二维租赁 二维租赁 可靠性 可靠性 延长租赁 延长租赁 预防性维修 预防性维修
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| GB/T 7714 | 刘碧玉 , 胡承阳 , 杨海东 . 二维租赁合同下考虑延长租赁基于可靠性的预防性维修决策 [J]. | 工业工程与管理 , 2023 , 28 (04) : 38-46 . |
| MLA | 刘碧玉 et al. "二维租赁合同下考虑延长租赁基于可靠性的预防性维修决策" . | 工业工程与管理 28 . 04 (2023) : 38-46 . |
| APA | 刘碧玉 , 胡承阳 , 杨海东 . 二维租赁合同下考虑延长租赁基于可靠性的预防性维修决策 . | 工业工程与管理 , 2023 , 28 (04) , 38-46 . |
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Abstract ：
Innovations in technology have made the structure of leased equipment more complex, which poses a challenge for lessors to develop maintenance policies. In view of the situation that the single periodic preventive maintenance (PM) policy during leasing activities may cause excessive or insufficient maintenance on the leased equipment, a condition-based maintenance (CBM) policy considering hybrid preventive maintenance (HPM) and periodic inspections is proposed. This policy contains imperfect preventive maintenance (IPM), preventive replacement (PR) and corrective maintenance (CM). The lessor can decide to take maintenance actions depending on whether the state of the equipment reaches the corresponding maintenance threshold. The warranty period of the leased equipment is also considered. To seal the deal, the lessor will give a discount on the rental to cover the CM costs and penalties out of the warranty period. To minimize the lessor's costs, we propose a CBM decision model to determine the optimal inspection period, PM threshold and PR period. The results show that the HPM policy can reduce leasing costs by about 5 -15 % for the lessor compared to that of the single PM policy.
Keyword ：
Condition-based maintenance Condition-based maintenance Hybrid preventive maintenance Hybrid preventive maintenance Leased equipment Leased equipment Periodic inspection Periodic inspection Warranty period Warranty period
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| GB/T 7714 | Liu, Biyu , Pang, Jie , Yang, Haidong et al. Optimal condition-based maintenance policy for leased equipment considering hybrid preventive maintenance and periodic inspection [J]. | RELIABILITY ENGINEERING & SYSTEM SAFETY , 2023 , 242 . |
| MLA | Liu, Biyu et al. "Optimal condition-based maintenance policy for leased equipment considering hybrid preventive maintenance and periodic inspection" . | RELIABILITY ENGINEERING & SYSTEM SAFETY 242 (2023) . |
| APA | Liu, Biyu , Pang, Jie , Yang, Haidong , Zhao, Yilin . Optimal condition-based maintenance policy for leased equipment considering hybrid preventive maintenance and periodic inspection . | RELIABILITY ENGINEERING & SYSTEM SAFETY , 2023 , 242 . |
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Suppliers significantly affect the effectiveness of sustainable supply chain management. Hence, it is extremely important to evaluate and select suppliers scientifically and objectively. Based on the theory of triple bottom line (economic, social, and environmental dimension) and a balanced scorecard, a measureable supplier evaluation framework in a sustainable supply chain is first formulated. Second, to reduce the defects of the single weight method, the subjective and objective weights of evaluation indicators are determined by combining the fuzzy best-worst method (BWM) and the entropy method, and then the combination weights are obtained through linear weighting. Third, the grey relational technique for order performance by similarity to ideal solution (TOPSIS) method is further adopted to evaluate and rank the suppliers. Finally, a case study illustrates and demonstrates the availability of the proposed supplier evaluation index system and evaluation method. Subsequently, some suggestions are proposed according to the results.
Keyword ：
grey relational grey relational supplier evaluation supplier evaluation Sustainable supply chain management Sustainable supply chain management the fuzzy BWM the fuzzy BWM TOPSIS TOPSIS
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| GB/T 7714 | Liu, Biyu , Chen, Ting , Yang, Haidong et al. Supplier evaluation and selection in a sustainable supply chain based on fuzzy-BWM, entropy method and grey relational TOPSIS [J]. | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS , 2023 , 44 (6) : 9919-9932 . |
| MLA | Liu, Biyu et al. "Supplier evaluation and selection in a sustainable supply chain based on fuzzy-BWM, entropy method and grey relational TOPSIS" . | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 44 . 6 (2023) : 9919-9932 . |
| APA | Liu, Biyu , Chen, Ting , Yang, Haidong , Segerstedt, Anders . Supplier evaluation and selection in a sustainable supply chain based on fuzzy-BWM, entropy method and grey relational TOPSIS . | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS , 2023 , 44 (6) , 9919-9932 . |
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Lessors are responsible for equipment maintenance during the lease period. The usage rate of these equipment affects their failures, reliability and decision-making on maintenance strategy. For some leased equipment, such as those producing seasonal products, the usage rate varies. However, conventional approaches usually set usage rate as a constant. Different from the existing literature, this work considers the variation of usage rate, and proposes a multi-phase preventive maintenance (PM) decision model to determine the PM times and degrees at different phases. The goal is to minimize lessors' lease service cost by balancing corrective maintenance (CM) cost, PM cost and penalty cost during the lease period. In this model, an age correspondence framework is applied to characterize the variation of usage rate at different phases. An accelerated failure time model and an age reduction model are adopted to capture the effect of variable usage rate and imperfect PM on the equipment's reliability. To verify the effectiveness of the proposed model, it is contrasted with a PM decision model with average usage rate. The impact of unit PM cost, CM cost, and penalty cost on maintenance strategy is discussed by numerical examples. Managerial insights for maintenance strategy are provided for lessors. The results indicate that the proposed approach considering varied usage rate can change the optimal PM times and degrees, and consequently lead to a lower lease service cost than conventional approaches using average usage rate; lessors need to enhance PM capability and reduce PM cost.
Keyword ：
Failure penalty Failure penalty Leased equipment Leased equipment Multi -phase Multi -phase Preventive maintenance Preventive maintenance Usage rate variation Usage rate variation
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| GB/T 7714 | Liu, Biyu , Chen, Ting , Yang, Haidong et al. Multi-phase preventive maintenance strategy for leased equipment considering usage rate variation [J]. | COMPUTERS & INDUSTRIAL ENGINEERING , 2023 , 185 . |
| MLA | Liu, Biyu et al. "Multi-phase preventive maintenance strategy for leased equipment considering usage rate variation" . | COMPUTERS & INDUSTRIAL ENGINEERING 185 (2023) . |
| APA | Liu, Biyu , Chen, Ting , Yang, Haidong , Zhang, Liangwei . Multi-phase preventive maintenance strategy for leased equipment considering usage rate variation . | COMPUTERS & INDUSTRIAL ENGINEERING , 2023 , 185 . |
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