Sustainable Operations and Computers最新文献_第3页

Multi-channel retailer’s financing strategy in a green supply chain: Third-party platform credit financing versus bank credit financing 绿色供应链下多渠道零售商的融资策略：第三方平台信用融资vs银行信用融资

Sustainable Operations and Computers

Pub Date : 2025-01-01 DOI: 10.1016/j.susoc.2025.05.001

Xueping Zhen , Xinran Li , Dan Shi , Zixi Zhang

With the rapid development of third-party platforms, more and more retailers sell their green products on the third-party platform in addition to their offline channel. The additional demand generated from the third-party platform may impose greater capital pressure on the retailer. In response, some third-party platforms offer financing service to capital-constrained retailers sell on them. Therefore, we establish a Stackelberg game-theoretic model where a manufacturer sells green products to a capital-constrained retailer which has an offline channel and a third-party platform channel. Two financing strategies are considered: bank credit financing (BF) and third-party platform credit financing (TF). The manufacturer as the leader first determines the wholesale price and the lender (bank or the third-party platform) then sets an interest rate. The retailer finally decides the retail price. Our theoretical analysis shows that for the manufacturer, retailer and third-party platform, TF strategy is better than BF strategy. That is, TF strategy is a win-win strategy. Specifically, under the TF strategy, the retail price or the interest rate are lower compared to the BF strategy, while the wholesale price under TF is higher. Additionally, our finding shows that the revenue sharing rate has no impact on the manufacturer’s wholesale price decision under TF strategy, whereas under the BF strategy, the wholesale price decreases as the revenue sharing rate increases. We also find that the retail price increases with the revenue sharing rate under BF, but decreases under TF strategy.

随着第三方平台的快速发展，越来越多的零售商在线下渠道的基础上，通过第三方平台销售绿色产品。第三方平台产生的额外需求可能会给零售商带来更大的资金压力。作为回应，一些第三方平台为资金紧张的零售商提供融资服务。因此，我们建立了制造商向拥有线下渠道和第三方平台渠道的资金受限的零售商销售绿色产品的Stackelberg博弈论模型。本文考虑了两种融资策略：银行信用融资（BF）和第三方平台信用融资（TF）。制造商作为领导者首先确定批发价格，然后贷款人（银行或第三方平台）设定利率。零售商最终决定零售价格。理论分析表明，对于制造商、零售商和第三方平台而言，TF策略优于BF策略。也就是说，TF策略是一种双赢策略。具体而言，在TF策略下，零售价格或利率较BF策略低，而在TF策略下批发价格较高。此外，我们的研究结果表明，在TF策略下，收入分成率对制造商的批发价格决策没有影响，而在BF策略下，批发价格随着收入分成率的增加而下降。我们还发现，在BF策略下，零售价格随着收入分成率的增加而增加，而在TF策略下，零售价格下降。

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引用次数: 0

Sustainable evaluation of ecotourism in the Yangtze River delta urban agglomeration: A system coordination perspective 长三角城市群生态旅游可持续评价：系统协调视角

Sustainable Operations and Computers

Pub Date : 2025-01-01 DOI: 10.1016/j.susoc.2025.01.002

Jiqiang Zhao , Jian Pan , Ling Tan

The coordinated development of the ecosystem (ES) and the tourism system (TS) is crucial for the sustainable ecotourism of urban agglomerations. From the perspective of the coordinated sustainable development of the ecotourism system (ETS), this study introduces a novel approach to evaluate the sustainable ecotourism performance of urban agglomeration in the Yangtze River Delta (YRDUA). By employing network the slack-based measure (SBM) and coordination coupling degree (CCD) models, using the support vector machine recursive feature elimination (SVM-RFE) method, the study identifies the efficiency of the ETS, the coordination between ES and TS, as well as key factors affecting the sustainability of ecotourism. The findings reveal an annual increase in the coordination between the ES and TS, although COVID-19 has significantly impacted their coupling and efficiency. Despite this, the efficiency of the ES has remained relatively stable. It is worth noting that the transportation sector and the tertiary industry have become core drivers of ETS sustainable development, with contribution a rate of 39.5 % and 27.05 % respectively.

生态系统与旅游系统的协调发展是城市群生态旅游可持续发展的关键。本文从生态旅游系统协调可持续发展的视角，提出了一种评价长三角城市群生态旅游可持续绩效的新方法。采用基于网络的散差测度（SBM）和协调耦合度（CCD）模型，采用支持向量机递归特征消去（SVM-RFE）方法，识别了碳排放交易系统的效率、碳排放交易系统与碳排放交易系统之间的协调性，以及影响生态旅游可持续性的关键因素。研究结果显示，尽管COVID-19严重影响了ES和TS之间的耦合和效率，但ES和TS之间的协调每年都在增加。尽管如此，ES的效率仍然相对稳定。值得注意的是，交通运输业和第三产业已成为碳排放交易体系可持续发展的核心驱动力，贡献率分别为39.5%和27.05%。

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引用次数: 0

An integrated pollution-generating technology and temperature alignment rating model for eco-efficiency estimation 生态效率评价的综合污染产生技术和温度校准评级模型

Sustainable Operations and Computers

Pub Date : 2025-01-01 DOI: 10.1016/j.susoc.2025.09.002

Andreas Dellnitz , Madjid Tavana , Salome Dellnitz , Andreas Kleine , Lukas Dalhoff

Measuring environmental efficiency, or eco-efficiency, has become increasingly critical as regulatory frameworks tighten in developed countries, requiring companies to mitigate climate change actively. Data Envelopment Analysis (DEA) is a widely used, non-parametric method for assessing eco-efficiency in comparable decision-making units (DMUs). Traditionally, DEA has relied on single-technology models, which are effective for macro-level analyses but present challenges in micro-level studies involving pollutants due to incompatibility with the material balance principle. This study applies an established DEA approach based on pollution-generating technologies to evaluate the eco-efficiency of 25 food retailers, incorporating both operational and environmental performance. For the first time in a DEA-based application, we link eco-efficiency scores with temperature alignment scores. This emerging sustainability metric assesses a company’s compatibility with the Paris Agreement’s 1.5 °C target. Our findings reveal that focusing solely on emission reduction based on DEA recommendations does not necessarily ensure alignment with global climate goals, underscoring the importance of an integrated assessment approach. Moreover, pure benchmarking based on empirical observations is insufficient; assessing sustainability improvements requires concrete measures, such as upgrading refrigeration systems or implementing energy-efficient technologies. This study provides practical insights for corporate decision-makers and policymakers, supporting more comprehensive, sustainability-driven management actions in the retail sector.

随着发达国家监管框架收紧，要求企业积极减缓气候变化，衡量环境效率或生态效率变得越来越重要。数据包络分析（DEA）是一种广泛使用的非参数方法，用于评估可比决策单元（dmu）的生态效率。传统上，DEA依赖于单一技术模型，这对于宏观层面的分析是有效的，但由于与物质平衡原理不相容，在涉及污染物的微观层面的研究中存在挑战。本研究采用基于污染产生技术的既定DEA方法，评估了25家食品零售商的生态效率，包括运营绩效和环境绩效。在基于dea的应用中，我们首次将生态效率分数与温度校准分数联系起来。这一新兴的可持续性指标评估公司与《巴黎协定》1.5°C目标的兼容性。我们的研究结果表明，仅仅关注基于DEA建议的减排并不一定确保与全球气候目标保持一致，强调了综合评估方法的重要性。此外，纯粹基于经验观察的基准是不够的；评估可持续性改进需要采取具体措施，例如升级制冷系统或实施节能技术。本研究为企业决策者和政策制定者提供了实用的见解，支持零售行业更全面、可持续发展驱动的管理行动。

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引用次数: 0

Sales mode selection and logistics integration strategy for green agro-food supply chain in e-commerce environment 电子商务环境下绿色农产品供应链的销售模式选择与物流整合策略

Sustainable Operations and Computers

Pub Date : 2025-01-01 DOI: 10.1016/j.susoc.2025.10.004

Guohua Sun, Caiyan Zhao, Kelei Xue

The rapid growth of e-commerce has prompted traditional retail enterprises to shift their attention toward online sales channels. A green agro-food supply chain (GAFSC) consisting of a green agro-food (GAF) supplier, an e-commerce platform, and a possible third-party logistics service company (3PL) is investigated, taking logistics service level and after-sales service cost into consideration. The effectiveness of sales mode and logistics integration strategy on GAFSC is explored by comparing the optimal decisions and profits in four GAFSC models. The results indicate that in the reselling mode, when the logistics service fee is low, the retail price and logistics service level under the self-operated logistics strategy are higher than that under the third-party logistics strategy. However, the wholesale price, online demand, and profit of the GAF supplier under the self-operated logistics strategy are always higher than that under the third-party logistics strategy. In the agency selling mode, when the logistics service fee is low, the logistics service level and online demand under the self-operated logistics strategy are higher than that under the third-party logistics strategy. Numerical studies show that the GAF supplier and platform have the same preferences towards the agency selling mode and self-operated logistics strategy under certain conditions.

电子商务的快速发展促使传统零售企业将注意力转向网络销售渠道。考虑物流服务水平和售后服务成本，研究由绿色农产品供应商、电子商务平台和可能的第三方物流服务公司组成的绿色农产品供应链。通过比较四种GAFSC模型的最优决策和最优利润，探讨了销售模式和物流一体化战略对GAFSC的有效性。结果表明，在转售模式下，当物流服务费较低时，自营物流策略下的零售价格和物流服务水平均高于第三方物流策略下的零售价格和物流服务水平。然而，自营物流策略下GAF供应商的批发价格、在线需求和利润始终高于第三方物流策略下GAF供应商的批发价格、在线需求和利润。在代理销售模式下，当物流服务费用较低时，自营物流策略下的物流服务水平和在线需求高于第三方物流策略下的物流服务水平和在线需求。数值研究表明，在一定条件下，GAF供应商和平台对代理销售模式和自营物流策略具有相同的偏好。

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引用次数: 0

A short term multistep forecasting model for photovoltaic generation using deep learning model 基于深度学习模型的光伏发电短期多步预测模型

Sustainable Operations and Computers

Pub Date : 2024-11-14 DOI: 10.1016/j.susoc.2024.11.003

Lakshmi P. Dinesh, Nameer Al Khafaf, Brendan McGrath

Developed countries have substantial investments in renewable energy currently, particularly Photovoltaics (PV), for achieving net-zero emissions. But PV generation is highly volatile and hence achieving supply-demand balance is challenging. Robust forecasting models will help PV integration and penetration into the grid, making sure that there is an adequate supply to match the demand, ensuring reliability and stability of power systems. In this paper, a deep learning model is developed for PV generation multistep forecasting using a small subset of weather variables with a 15-minute resolution, with very low computation time. The forecasts very closely align with the actual generation, with a Normalized Mean Absolute Error (nMAE) of 0.04, much less than 1 kWh in terms of error in forecast generation. Direct and multioutput forecasting are combined here. Comparisons with Long Short Term Memory (LSTM) and Gated Recurrent Unit (GRU) show performance improvement, by

\sim

15% compared to LSTM and

\sim

17% compared to GRU in terms of average nMAE. The model can be used in urban environments for short term forecasting. Also, if an accurate forecast is available, PV asset owners can plan their generation better when they export power back into the grid, make better bids in the energy markets, increase their revenues and eventually increase the share of renewables in the energy market.

为了实现净零排放，发达国家目前在可再生能源，特别是光伏（PV）方面进行了大量投资。但光伏发电极不稳定，因此实现供需平衡具有挑战性。强大的预测模型将有助于光伏发电的整合和渗透到电网中，确保有足够的供应来满足需求，确保电力系统的可靠性和稳定性。在本文中，开发了一个深度学习模型，用于光伏发电多步预测，使用一小部分天气变量，具有15分钟的分辨率，计算时间非常短。预测与实际发电量非常接近，标准化平均绝对误差（nMAE）为0.04，就预测发电量的误差而言，远小于1千瓦时。本文将直接预测和多输出预测相结合。与长短期记忆（LSTM）和门控循环单元（GRU）的比较显示，在平均nMAE方面，与LSTM相比，性能提高了~ 15%，与GRU相比，性能提高了~ 17%。该模型可用于城市环境的短期预报。此外，如果有准确的预测，光伏资产所有者可以在向电网输出电力时更好地规划发电，在能源市场上做出更好的出价，增加收入，最终增加可再生能源在能源市场上的份额。

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引用次数: 0

Green hydrogen as a sustainable operations strategy: A socio-economic perspective 绿色氢作为可持续运营战略：社会经济视角

Sustainable Operations and Computers

Pub Date : 2024-11-06 DOI: 10.1016/j.susoc.2024.11.002

Francesco Bonesso , Idiano D'Adamo , Massimo Gastaldi , Marco Giannini

Hydrogen is an energy carrier that can support the development of sustainable and flexible energy systems. However, decarbonization can occur when green sources are used for energy production and appropriate water use is manifested. This work aims to propose a socio-economic analysis of hydrogen production from an integrated wind and electrolysis plant in southern Italy. The estimated production amounts to about 1.8 million kg and the LCOH is calculated to be 3.60 €/kg in the base scenario. Analyses of the alternative scenarios allow us to observe that with a high probability the value ranges between 3.20–4.00 €/kg and that the capacity factor is the factor that most affects the economic results. Social analysis, conducted through an online survey, shows a strong knowledge gap as only 27.5 % claim to know the difference between green and grey hydrogen. There is a slight propensity to install systems near their homes, but this tends to increase due to increased knowledge on the topic. Respondents state sustainable behaviours, and this study suggests that these aspects should also be transformed into the energy choices that are implemented every day. The study suggests information to policy-makers, businesses and citizens as it outlines that green hydrogen is an operations strategy that moves toward sustainable development.

氢是一种能源载体，可以支持可持续和灵活的能源系统的发展。然而，当绿色能源被用于能源生产并体现出适当的用水时，脱碳就会发生。这项工作旨在对意大利南部一家综合风力和电解工厂的氢气生产进行社会经济分析。估计产量约为180万公斤，在基本方案中，LCOH计算为3.60欧元/公斤。对备选方案的分析使我们能够观察到，该值很可能在3.20-4.00欧元/公斤之间，并且容量系数是最影响经济结果的因素。通过在线调查进行的社会分析显示，只有27.5%的人声称知道绿色氢和灰色氢的区别，这表明知识差距很大。有一个轻微的倾向，安装系统在他们的家附近，但这往往会增加，由于对这个主题的知识增加。受访者陈述了可持续的行为，这项研究表明，这些方面也应该转化为每天实施的能源选择。该研究向政策制定者、企业和公民提供了信息，因为它概述了绿色氢是一种走向可持续发展的运营战略。

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引用次数: 0

A stochastic sustainable Closed-Loop Supply Chain Networks for used solar photovoltaic systems: Meta-heuristic comparison and real case study 二手太阳能光伏系统的随机可持续闭环供应链网络：启发式比较与实际案例研究

Sustainable Operations and Computers

Pub Date : 2024-11-02 DOI: 10.1016/j.susoc.2024.11.001

Peiman Ghasemi , Syed Mithun Ali , Milad Abolghasemian , Reza Ahmadi Malakoot , Adel Pourghader Chobar

This research presents a novel approach to setting up a sustainable Closed-Loop Supply Chain (CLSC) network for used solar photovoltaic (PV) systems, addressing end-of-life product waste from solar panel installations and manufacturing centers. The model accounts for uncertainties in PV systems and aims to efficiently collect, refurbish, and recycle used solar PV systems, promoting a circular and environmentally responsible waste management strategy. The supply chain network comprises vendors, collection centers, hybrid centers, distribution centers, and manufacturing centers, with objectives to maximize total profit, minimize environmental risk, and maximize service levels by demonstrating the profitable reuse of used solar photovoltaic systems by manufacturers. The epsilon-constraint method is utilized to handle the model's multi-objectiveness and identify Pareto optimal solutions. A case study in Iran is conducted to validate the methodology's performance, comparing results obtained from three meta-heuristic methods: Non-Dominated Sorting Genetic Algorithm-II (NSGA-II), Multi-Objective Particle Swarm Optimization (MOPSO), and Multi-Objective Gray Wolf Optimization (MOGWO). The average error rates are 0.0358 for MOGWO, 0.1248 for MOPSO, and 0.2066 for NSGA-II. Sensitivity analysis highlights the significant impact of demand variations on all objective functions. Lastly, the numerical results are discussed to provide managerial insights for informed decision-making.

本研究提出了一种为废旧太阳能光伏（PV）系统建立可持续闭环供应链（CLSC）网络的新方法，解决了太阳能电池板安装和制造中心的报废产品浪费问题。该模型考虑了光伏系统的不确定性，旨在有效地收集、翻新和回收废旧太阳能光伏系统，促进循环和对环境负责的废物管理战略。供应链网络由供应商、收集中心、混合中心、配送中心和制造中心组成，其目标是通过展示制造商对二手太阳能光伏系统的可盈利再利用，实现总利润最大化、环境风险最小化和服务水平最大化。利用约束方法处理模型的多目标性，识别Pareto最优解。通过对三种元启发式方法（non - dominant Sorting Genetic Algorithm-II, NSGA-II）、多目标粒子群优化（multiobjective Particle Swarm Optimization， MOPSO）和多目标灰狼优化（multiobjective grey Wolf Optimization， MOGWO）的结果进行比较，验证了该方法的有效性。MOGWO的平均错误率为0.0358，MOPSO为0.1248，NSGA-II为0.2066。敏感性分析强调了需求变化对所有目标函数的显著影响。最后，讨论了数值结果，为知情决策提供管理见解。

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引用次数: 0

Design and optimization of a pharmaceutical supply chain network under COVID-19 pandemic disruption COVID-19 大流行干扰下的药品供应链网络设计与优化

Sustainable Operations and Computers

Pub Date : 2024-01-01 DOI: 10.1016/j.susoc.2024.04.002

Reza Rajabi, Elham Shadkam, Seyed Mohammad Khalili

Efficient management of pharmaceutical supply chains during the COVID-19 pandemic is critical to mitigate material and human losses. This paper addresses the design of a pharmaceutical supply chain network under pandemic disruption, introducing a novel bi-objective mathematical model. Traditional supply chain management strategies often fall short in the face of sudden disruptions, necessitating the development of resilient systems. Our model seeks to minimise economic costs and shortages as primary objectives, addressing the specific challenge of sudden surges in demand for pharmaceuticals. To enhance resilience, we propose solutions including the establishment of temporary distribution points and the creation of backup inventory. We employ a scenario-based, discrete, and linear modelling approach, solving the model using goal-planning methods and validating its efficacy through numerical examples. Additionally, we conduct a case study in the metropolitan area of Mashhad, further demonstrating the applicability and effectiveness of our approach. This research contributes to the advancement of resilient supply chain design in the pharmaceutical sector, offering insights that can inform improved management practices and bolster resilience in pharmaceutical supply chains.

在 COVID-19 大流行期间，有效管理药品供应链对于减少物质和人员损失至关重要。本文引入了一个新颖的双目标数学模型，探讨了在大流行中断情况下的药品供应链网络设计问题。传统的供应链管理策略往往无法应对突如其来的中断，因此有必要开发弹性系统。我们的模型以最大限度地降低经济成本和减少短缺为首要目标，以应对药品需求突然激增这一特殊挑战。为了提高复原力，我们提出了包括建立临时配送点和创建备用库存在内的解决方案。我们采用基于情景的离散线性建模方法，使用目标规划方法解决模型问题，并通过数值示例验证其有效性。此外，我们还在马什哈德大都市区进行了案例研究，进一步证明了我们方法的适用性和有效性。这项研究有助于推动医药行业弹性供应链设计的发展，为改进管理实践和提高医药供应链的弹性提供了启示。

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引用次数: 0

Eco-label strategy selection for green product development in supply chain 供应链中绿色产品开发的生态标签战略选择

Sustainable Operations and Computers

Pub Date : 2024-01-01 DOI: 10.1016/j.susoc.2023.12.003

Gaoxiang Lou , Ying Zhang , Haicheng Ma , Xuechen Tu , Yi-Ming Wei

In a supply chain where a supplier and a manufacturer engage in green innovation activities, we apply the Stackelberg game to investigate the influence of consumer trust and consumer green awareness on supply chain performance when employing self-labeling and certification label strategies. Our research delves into the optimal eco-label strategy through comparative analysis, resulting in the following key points: (1) Under the certification label strategy, the manufacturer and supply chain profits may decrease in consumer green awareness. (2) The manufacturer tends to choose self-labeling strategy, but the supplier has higher profits under certification label strategy. (3) The social welfare under the certification label is greater than that of self-labeling when the cost of certification and consumer trust are low. Further, we extend the certification label from single level to multi-level, and found that when the cost coefficient of manufacturer's green investment is high, a high-level certification may be disadvantageous for the manufacturer. In addition, when consumer trust and cost coefficient of manufacturer's green investment are both low, the manufacturer is more likely to preferentially choose multi-level certification label over self-labeling.

在供应商和制造商共同参与绿色创新活动的供应链中，我们运用斯塔克尔伯格博弈研究了在采用自我标签和认证标签策略时，消费者信任和消费者绿色意识对供应链绩效的影响。我们的研究通过比较分析深入探讨了最优生态标签策略，得出以下要点：（1）在认证标签策略下，制造商和供应链的利润可能会随着消费者绿色意识的提高而降低。(2）制造商倾向于选择自我标签策略，但供应商在认证标签策略下有更高的利润。(3）当认证成本和消费者信任度较低时，认证标签下的社会福利大于自我标签下的社会福利。此外，我们将认证标签从单级扩展到多级，发现当制造商的绿色投资成本系数较高时，高级认证可能对制造商不利。此外，当消费者信任度和制造商绿色投资成本系数都较低时，制造商更倾向于选择多级认证标签而非自我标签。

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引用次数: 0

A systematic review of life cycle assessments of 3D concrete printing 三维混凝土打印生命周期评估系统回顾

Sustainable Operations and Computers

Pub Date : 2024-01-01 DOI: 10.1016/j.susoc.2023.08.003

Arash Motalebi, Mohammad Abu Hasan Khondoker, Golam Kabir

The construction industry plays a crucial role in shaping our built environment, and it is imperative to adopt more sustainable and innovative practices, technologies, and tools to minimize the environmental impact. Recently, 3D printing technology has emerged as the main element of the fourth industrial revolution, Industry 4.0 which offers numerous benefits in manufacturing, including complete design freedom, savings in materials and time, enhanced efficiency, and so on. This novel technology is positively impacting various industries, including automotive, aerospace, biomedical, and now the construction industry as well. The present study aims to investigate the ecological impacts of 3D concrete printing (3DCP) by conducting a comprehensive literature review of the published articles that focused on the life cycle assessment of 3DCP-processed units. The objective was to identify current trends, areas of study that require further attention, and opportunities to lower energy consumption and environmental impacts. The literature review found that 3DCP associates with a significant reduction in global warming potential when compared to traditional construction using ordinary Portland cement-based concrete. From the life cycle analysis for 3D printed concrete performed in some articles, this review has identified opportunities to enhance the durability of 3DCP by using non-traditional materials. Additionally, improving the energy efficiency of the printing system and optimizing the structural design of printed structures can further enhance their environmental performance.

建筑业在塑造我们的建筑环境方面发挥着至关重要的作用，因此必须采用更具可持续性和创新性的做法、技术和工具，以最大限度地减少对环境的影响。最近，3D 打印技术已成为第四次工业革命（工业 4.0）的主要元素，它为制造业带来了诸多好处，包括完全自由设计、节省材料和时间、提高效率等。这项新技术对汽车、航空航天、生物医学等各行各业都产生了积极影响，现在建筑业也不例外。本研究旨在调查三维混凝土打印（3DCP）对生态环境的影响，方法是对已发表的关注 3DCP 加工单元生命周期评估的文章进行全面的文献综述。目的是确定当前的趋势、需要进一步关注的研究领域以及降低能耗和环境影响的机会。文献综述发现，与使用普通波特兰水泥基混凝土的传统建筑相比，3DCP 可显著降低全球变暖潜势。从一些文章对 3D 打印混凝土进行的生命周期分析中，本综述发现了通过使用非传统材料提高 3DCP 耐久性的机会。此外，提高打印系统的能效和优化打印结构的结构设计也能进一步提高其环保性能。

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引用次数: 0