International Journal of Production Economics最新文献_第7页

Resilience and innovation in the face of disruption: An empirical study of Australia's construction sector 面对破坏的弹性和创新：对澳大利亚建筑行业的实证研究

IF 1 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

International Journal of Production Economics

Pub Date : 2025-10-17 DOI: 10.1016/j.ijpe.2025.109830

Naresh Gupta , Indra Gunawan , Rajeev Kamineni

The global pandemic and the geopolitical tensions (Russia-Ukraine war, Israel-Palestinian conflict, supply chain disruptions, shifts in trade alliances, and resource reallocations) have significantly disrupted Australia's construction sector, causing delays, material shortages, cost escalations, and supply chain vulnerabilities. These disruptive global events have prompted a rapid shift to digital technologies and resilience strategies. Adapting to these shifts, the sector seeks to balance opportunities like innovation and sustainability with evolving risks and ongoing challenges. This requires a focus on resilient and sustainable investments to achieve economic recovery. This article aims to provide empirical insights into how the sector has been impacted, adapted, and evolved in response to the various opportunities and challenges posed by these global events. In doing so, it seeks to offer valuable guidance for policymakers, industry stakeholders, and researchers while navigating the current landscape. The study employs a mixed research design to thoroughly investigate the impacts, challenges, and opportunities presented by these global events on the Australian construction sector and its supply chains, with quantitative data from 220 professionals and qualitative insights from 19 domain experts. The key findings highlight the initial disruption and subsequent resilience in the construction sector due to the changing landscape, the emergence of opportunities with government support for sustainable construction, and ongoing challenges, including labour shortages and supply chain vulnerabilities. The study offers valuable recommendations for integrating innovation, sustainability, collaboration, and adaptability to ensure a prosperous and resilient future for the construction sector and sustained growth and prosperity for the nation. The findings and observations made within this study have wide-ranging implications for policymakers, industry professionals, researchers, and the broader community. The study offers insights to inform policy development, strategic investments, workforce development, technology adoption, and supply chain resilience in the Australian construction sector.

全球疫情和地缘政治紧张局势（俄乌战争、巴以冲突、供应链中断、贸易联盟转变和资源重新分配）严重扰乱了澳大利亚的建筑行业，造成延误、材料短缺、成本上升和供应链脆弱性。这些破坏性的全球事件促使人们迅速转向数字技术和弹性战略。为了适应这些变化，油气行业寻求在创新和可持续性等机遇与不断变化的风险和持续挑战之间取得平衡。这需要重点关注有韧性和可持续的投资，以实现经济复苏。本文旨在提供经验见解，以了解该行业如何受到影响、适应和发展，以应对这些全球事件带来的各种机遇和挑战。在此过程中，它试图为政策制定者、行业利益相关者和研究人员提供有价值的指导，同时引导当前的格局。该研究采用混合研究设计，通过220名专业人士的定量数据和19名领域专家的定性见解，全面调查了这些全球事件对澳大利亚建筑行业及其供应链的影响、挑战和机遇。主要研究结果强调了建筑行业最初的中断和随后的恢复能力，这是由于环境的变化，政府支持可持续建筑的机会的出现，以及持续的挑战，包括劳动力短缺和供应链脆弱性。该研究为整合创新、可持续性、协作和适应性提供了宝贵的建议，以确保建筑行业的繁荣和弹性未来，以及国家的持续增长和繁荣。本研究的发现和观察结果对政策制定者、行业专业人士、研究人员和更广泛的社区具有广泛的影响。该研究为澳大利亚建筑行业的政策制定、战略投资、劳动力发展、技术采用和供应链弹性提供了见解。

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引用次数: 0

AI Platforms for Digital Servitization and Solution Delivery: Where ecosystem, production technology, and business model trajectories intersect to generate smart solutions 数字化服务化和解决方案交付的人工智能平台：生态系统、生产技术和商业模式轨迹相交，产生智能解决方案

IF 1 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

International Journal of Production Economics

Pub Date : 2025-10-16 DOI: 10.1016/j.ijpe.2025.109826

Yancy Vaillant , Samuel Fosso Wamba , Rodrigo Rabetino

The rapid advancement of digitalization and artificial intelligence (AI) is transforming the manufacturing landscape, creating turbulence and complexity that challenge established managerial frameworks. Many of the theoretical models that once guided production management now require revision to remain relevant in an AI-driven environment. This special issue on AI Platforms for Digital Servitization and Solution Delivery of the International Journal of Production Economics addresses this need by integrating research on three converging trajectories—platform ecosystems, digital servitization, and solution delivery—into a unified, programmatic theoretical framework. The editorial conceptualises AI platforms as key enablers that connect these domains, facilitating the development of comprehensive smart solutions through the alignment of business models, production technologies, and value ecosystems. Collectively, the studies contribute to a deeper understanding of how AI reshapes value creation and delivery in manufacturing contexts. This framework provides a foundation for future empirical validation and offers practical insights to guide managers in navigating the evolving realities of algorithmic-driven production systems.

数字化和人工智能（AI）的快速发展正在改变制造业格局，带来动荡和复杂性，挑战现有的管理框架。许多曾经指导生产管理的理论模型现在需要修改才能在人工智能驱动的环境中保持相关性。本期《国际生产经济学杂志》关于人工智能平台数字服务化和解决方案交付的特刊通过将三个趋同轨迹——平台生态系统、数字服务化和解决方案交付——的研究整合到一个统一的、程序化的理论框架中，解决了这一需求。该社论将人工智能平台定义为连接这些领域的关键推动者，通过协调商业模式、生产技术和价值生态系统，促进全面智能解决方案的开发。总的来说，这些研究有助于更深入地了解人工智能如何在制造业环境中重塑价值创造和交付。该框架为未来的经验验证提供了基础，并提供了实用的见解，以指导管理人员在算法驱动的生产系统的不断发展的现实中导航。

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引用次数: 0

Value-based or one-time? Optimal pricing modes for generative AI services in e-commerce platforms 基于价值的还是一次性的？电子商务平台生成式人工智能服务的最优定价模式

IF 1 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

International Journal of Production Economics

Pub Date : 2025-10-16 DOI: 10.1016/j.ijpe.2025.109828

Yu Ning , Zexuan Shi , Yang Tong

With the rapid advancement of generative artificial intelligence (GAI) technology, e-commerce platforms are increasingly integrating GAI services to enhance product design, manufacturing, and sales processes. Despite this trend, the extant literature lacks systematic investigation into platform pricing for such services, particularly in choosing between a one-time fixed fee mode (a fixed fee for adopting GAI services) and a value-based commission mode (a fixed fee plus a commission on sales above a threshold). To address this gap, this study develops a novel two-part tariff contract to optimize the pricing mode for GAI services. Incorporating factors such as platform investment in GAI, investment cost coefficient, commission rate, and sales quantity threshold, our game-theoretic analysis reveals nuanced insights. Interestingly, our findings reveal that a value-based commission mode may not always align with the platform's interest. As the investment cost coefficient increases, the platform tends to favor a one-time fixed fee mode. Moreover, under the value-based commission mode, a higher sales quantity threshold does not necessarily benefit the manufacturer. We also identify a win-win region in which the value-based commission mode benefits both the platform and the manufacturer. Finally, additional analyses extend our findings to scenarios involving enhanced GAI efficiency and competitive market settings. This research advances the literature on AI pricing and two-part tariff theory, while offering practical insights for platform operators and manufacturers.

随着生成式人工智能（GAI）技术的快速发展，电子商务平台越来越多地集成GAI服务，以提高产品的设计、制造和销售流程。尽管有这种趋势，但现有文献缺乏对此类服务的平台定价的系统调查，特别是在一次性固定收费模式（采用GAI服务的固定费用）和基于价值的佣金模式（固定费用加上超过阈值的销售佣金）之间的选择。为了解决这一差距，本研究开发了一种新的两部分费率合同来优化GAI服务的定价模式。结合GAI中的平台投资、投资成本系数、佣金率和销售数量门槛等因素，我们的博弈论分析揭示了微妙的见解。有趣的是，我们的研究结果显示，基于价值的佣金模式可能并不总是符合平台的利益。随着投资成本系数的增加，平台倾向于一次性固定收费模式。此外，在基于价值的佣金模式下，更高的销售数量门槛并不一定对制造商有利。我们还确定了一个双赢的区域，在这个区域中，基于价值的佣金模式对平台和制造商都有利。最后，额外的分析将我们的发现扩展到涉及提高GAI效率和竞争市场环境的情景。本研究在推进人工智能定价和两部分资费理论的同时，也为平台运营商和制造商提供了实践见解。

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引用次数: 0

Bridging ethical culture and competitiveness in supply chains: Applying resource orchestration theory 在供应链中架起道德文化和竞争力的桥梁：应用资源编排理论

IF 1 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

International Journal of Production Economics

Pub Date : 2025-10-11 DOI: 10.1016/j.ijpe.2025.109825

Chi Zhang , Mani Venkatesh , Issam Laguir , Marc Ohana

This study investigates how organizational ethical culture influences organizational competitiveness via supply chain social sustainability practices, using resource orchestration theory as a framework. Analyzing survey data from 214 French manufacturing firms with structural equation modeling, the results show that organizational ethical culture enhances competitiveness indirectly through supply chain social sustainability, confirming its role as a key mediator. However, the effectiveness of supply chain social sustainability in driving competitiveness weakens significantly under high environmental uncertainty. The findings suggest that while integrating ethical culture into supply chain practices is essential for fostering competitiveness, firms operating in uncertain environments may need to prioritize flexibility over long-term supply chain social sustainability commitments. By applying resource orchestration theory to socially sustainable supply chain management, this study provides fresh insights into how ethical culture orchestrates external resources and highlights the contingent nature of supply chain social sustainability effectiveness in dynamic conditions.

本研究以资源协调理论为框架，探讨组织伦理文化如何通过供应链社会可持续性实践影响组织竞争力。利用结构方程模型对214家法国制造业企业的调查数据进行分析，结果表明，组织伦理文化通过供应链社会可持续性间接提升企业竞争力，证实了其作为关键中介的作用。然而，在环境不确定性较高的情况下，供应链社会可持续性驱动竞争力的有效性显著减弱。研究结果表明，虽然将道德文化融入供应链实践对于提高竞争力至关重要，但在不确定环境中运营的公司可能需要优先考虑灵活性，而不是长期供应链的社会可持续性承诺。通过将资源协调理论应用于社会可持续供应链管理，本研究为伦理文化如何协调外部资源提供了新的见解，并强调了动态条件下供应链社会可持续有效性的偶然性。

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引用次数: 0

Environmental uncertainties and reciprocal investments within coopetition: The contingent role of appropriability mechanisms 环境不确定性与合作中的互惠投资：适当性机制的偶然作用

IF 1 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

International Journal of Production Economics

Pub Date : 2025-10-01 DOI: 10.1016/j.ijpe.2025.109811

Chandrasekararao Seepana , Antony Paulraj , Aneesh Datar

This study investigates the effects of market and technology uncertainties on reciprocal investments and the subsequent moderating role of appropriability mechanisms (i.e., patents, contracts, lead time, knowledge complexity). The study forwards several hypotheses that draw upon transaction cost economics and contingency theory. These hypotheses are tested using survey data of 313 firms that engage in horizontal coopetition relationships. Results suggest that both market and technology uncertainties lead rival partners to commit to reciprocal investments. The results further indicate that partners’ use of formal appropriability negatively moderates the relationship between market uncertainty and reciprocal investments, while informal appropriability positively moderates this relationship. Alternatively, formal appropriability positively moderates the relationship between technology uncertainty and investments, whereas informal appropriability negatively moderates this relationship. Contrary to the prevailing practice of viewing appropriability as a standalone mechanism, our findings point towards the significance of viewing appropriability mechanisms dichotomously, especially in the case of uncertain environments. As the findings suggest, employing more relevant appropriability mechanisms based on the type of uncertainties in which partners operate could lead to better outcomes for the partners pursuing coopetition relationships.

本研究探讨了市场和技术不确定性对互惠投资的影响，以及相应的适当性机制（即专利、合同、交货时间、知识复杂性）的调节作用。本文运用交易成本经济学和权变理论提出了若干假设。这些假设通过对313家从事横向合作关系的企业的调查数据进行检验。结果表明，市场和技术的不确定性导致竞争伙伴承诺互惠投资。结果进一步表明，合作伙伴使用正式可占性负向调节市场不确定性与互惠投资之间的关系，而非正式可占性正向调节这种关系。另外，正式的适宜性正向调节技术不确定性与投资之间的关系，而非正式的适宜性则负向调节这种关系。与将适当性视为一种独立机制的普遍做法相反，我们的研究结果指出了二分法看待适当性机制的重要性，特别是在不确定环境的情况下。正如研究结果所表明的那样，根据合作伙伴所处的不确定性类型，采用更相关的适宜性机制，可能会为追求合作关系的合作伙伴带来更好的结果。

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引用次数: 0

Strategic optimization of onboard carbon capture and storage for maritime supply chain management 船舶碳捕集与封存在海上供应链管理中的战略优化

IF 1 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

International Journal of Production Economics

Pub Date : 2025-10-01 DOI: 10.1016/j.ijpe.2025.109808

Yuan Liu , Shuaian Wang , Lu Zhen

The shipping industry is essential to global supply chain management, acting as a fundamental driver of international commerce and economic growth. However, its significant carbon emissions pose a serious threat to the environment, exacerbating climate change and necessitating immediate action to reduce its environmental impact. In this context, Onboard Carbon Capture and Storage (OCCS) has emerged as a critical solution, providing an effective measure to lower emissions and support the transition toward green supply chain in shipping industry. Considering the interdependent decisions of ports and shipping companies, our research focuses on selecting ports and timing for carbon processing systems to maximize ports revenue, identifying vessels on specific routes for OCCS installation, and determining optimal ports for offloading captured carbon to minimize processing costs. To address these problems, we develop an integer programming model to optimize the decisions of both ports and shipping companies. Furthermore, to validate the model’s effectiveness, we conduct extensive numerical experiments and perform sensitivity analyses to evaluate how parameters related to carbon processing prices and costs, influence optimal decisions. Finally, we provide valuable insights for future research on OCCS optimization and scheduling in the maritime industry.

航运业对全球供应链管理至关重要，是国际贸易和经济增长的根本推动力。然而，其大量的碳排放对环境构成了严重威胁，加剧了气候变化，需要立即采取行动减少其对环境的影响。在这种背景下，船上碳捕集与封存（OCCS）已成为一种关键的解决方案，为降低排放和支持航运业向绿色供应链过渡提供了有效措施。考虑到港口和航运公司的相互依赖决策，我们的研究重点是选择港口和碳处理系统的时间，以最大限度地提高港口收入，确定在特定路线上安装OCCS的船只，并确定卸载捕获碳的最佳港口，以最大限度地降低处理成本。为了解决这些问题，我们开发了一个整数规划模型来优化港口和航运公司的决策。此外，为了验证模型的有效性，我们进行了大量的数值实验并进行敏感性分析，以评估与碳加工价格和成本相关的参数如何影响最优决策。最后，本文为未来航运业OCCS优化和调度的研究提供了有价值的见解。

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引用次数: 0

From invisible to visible: How artificial intelligence facilitates generativity in product architecture 从不可见到可见：人工智能如何促进产品架构的生成

IF 1 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

International Journal of Production Economics

Pub Date : 2025-09-29 DOI: 10.1016/j.ijpe.2025.109807

Jianyu Zhao , Yingbo Xu , Bo Zou , Xi Xi , Wei Liu

Artificial intelligence (AI) reshapes the business landscape. The role of AI applications in product innovation has received much attention, yet the impact of AI technologies on the product itself remains insufficient. To address this question, we developed a theoretical framework around the resource-based view and the concept of generativity. We theorize and investigate the impact of AI application on generativity in a product architecture and whether generativity promotes product sales. Using a new energy vehicle (NEV) as a sample, we set a research context of digital manufacturing in which we argue that AI applications facilitate the generation of intelligent functions in NEVs, and intelligent functions promote vehicle sales. We further find that AI–large language model (LLM) adoption weakens the positive relationship between intelligent functions and vehicle sales. We aim to contribute to AI application and generativity studies, and we provide evidence for manufacturers to develop appropriate AI system strategies.

人工智能（AI）重塑了商业格局。人工智能应用在产品创新中的作用备受关注，但人工智能技术对产品本身的影响仍然不足。为了解决这个问题，我们围绕资源基础观点和生成概念开发了一个理论框架。我们理论化并研究了人工智能应用对产品架构中生成性的影响，以及生成性是否促进了产品销售。本文以新能源汽车为例，设定了数字化制造的研究背景，认为人工智能应用促进了新能源汽车智能功能的生成，智能功能促进了汽车的销售。我们进一步发现，人工智能大语言模型（LLM）的采用削弱了智能功能与汽车销量之间的正相关关系。我们的目标是为人工智能应用和生成性研究做出贡献，并为制造商制定适当的人工智能系统策略提供证据。

引用次数: 0

Evaluating the efficacy of emerging third-party logistics role: An examination of potential limitations 评估新兴第三方物流角色的有效性：对潜在局限性的审查

IF 1 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

International Journal of Production Economics

Pub Date : 2025-09-25 DOI: 10.1016/j.ijpe.2025.109805

Chaorui Huang, Xin Wen, Sai-Ho Chung

Some third-party logistics (3 PL) companies recently take on a new role to help achieve advance payment. Specifically, 3 PL helps pay supplier soon after receiving the logistics fee and order payment from retailer. However, the retailer may incur opportunity cost via paying earlier to the 3 PL if considering the time value of cash. In contrast to the current literature that demonstrates possible advantages brought by 3 PLs, we instead find that when supply chain players face a homogeneous time value of cash, the 3 PL's advance payment brings no profit growth for all players under the 3 PL's leadership. The supplier cannot enjoy a profit increase as the retailer reduces the wholesale price to compensate for the opportunity cost loss. The 3 PL has to lower the service fee to attract the retailer to join the game, thus weakening its profitability. Furthermore, we extend our study to two scenarios. The first is when the retailer dominates the supply chain and the second is when the 3 PL offers discount coupons to the retailer. In the first extension, we identify that the merit of the 3 PL's new role only exists for the 3 PL when players face a heterogeneous time value of cash under certain conditions. Alternatively, the second extension illustrates that only a small-scale coupon creates a triple-win situation and facilitates flexibility in making decisions. In summary, based on the 3 PL's existing practice, this study points out its potential limitations when involved in supply chain cash flows.

一些第三方物流（3pl）公司最近扮演了一个新的角色，帮助实现预付款。具体来说，第三方物流帮助在收到物流费用和零售商的订单付款后立即向供应商付款。然而，如果考虑到现金的时间价值，零售商可能会通过提前支付给第三方物流而产生机会成本。与目前证明第三方物流可能带来的优势的文献相反，我们发现当供应链参与者面临均匀的现金时间价值时，第三方物流的预付款不会给第三方物流领导下的所有参与者带来利润增长。供应商不能享受到利润的增加，因为零售商降低批发价格来弥补机会成本的损失。第三方物流不得不降低服务费用来吸引零售商加入游戏，从而削弱了其盈利能力。此外，我们将研究扩展到两个场景。第一种是零售商主导供应链，第二种是第三方物流向零售商提供折扣券。在第一个扩展中，我们发现，只有当玩家在特定条件下面对不同时间价值的现金时，第三方物流的新角色才存在价值。另外，第二个扩展说明，只有小规模的优惠券才能创造三赢的局面，并促进决策的灵活性。总之，基于第三方物流的现有实践，本研究指出了其在涉及供应链现金流时的潜在局限性。

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引用次数: 0

Manufacturer encroachment in car per-use rental: The role of partial integration of supply chain 汽车租赁中的厂商侵占：供应链部分整合的作用

IF 1 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

International Journal of Production Economics

Pub Date : 2025-09-23 DOI: 10.1016/j.ijpe.2025.109794

Jinyi Chen, ChenGuang Liu, Yongjie Dong

An innovative non-ownership business model, per-use rental, has emerged, in which consumers use products through renting and pay based on usage frequency. Although existing literature examines manufacturer encroachment in decentralized supply chains, recent practices demonstrate increasing partial vertical integration via shareholding among members. This paper investigates a supply chain consisting an upstream manufacturer and a downstream per-use rental platform, analyzing the manufacturer’s encroachment strategies under three scenarios: no partial integration, partial forward integration (PFI), and partial backward integration (PBI). Some important findings and managerial insights are obtained. First, we find that different partial integration scenarios may bring different impacts on the manufacturer’s encroachment strategies. Under no partial integration and PFI, the manufacturer will encroach when the fixed investment cost of a direct per-use rental channel is low. However, under PBI, additional factors, such as the maintenance cost and platform’s shareholding ratio, also influence the equilibrium strategies. In each scenario, encroachment can result in win-win, win-lose, lose-win, and lose-lose outcomes for the manufacturer and the platform. Second, the manufacturer’s wholesale price decreases with the shareholding ratio under PFI but increases under PBI, reflecting the impact of equity ownership, and the platform’s rental price follows a similar trend. These conclusions suggest that members can adapt to the impact of different equity structures and encroachment by adjusting prices, and the platform with more equity is more likely to benefit from manufacturer encroachment. Finally, two extensions, including different maintenance costs borne by the manufacturer and the platform, and the validity of partial integration, are considered to further verify the robustness of the proposed models.

一种创新的非所有权商业模式——按次租赁已经出现，在这种模式下，消费者通过租赁的方式使用产品，并根据使用频率付费。尽管现有文献研究了制造商对分散供应链的侵蚀，但最近的实践表明，通过成员之间的持股，部分垂直整合正在增加。本文研究了一个由上游制造商和下游按次租赁平台组成的供应链，分析了制造商在不部分整合、部分前向整合（PFI）和部分后向整合（PBI）三种情况下的入侵策略。获得了一些重要的发现和管理见解。首先，我们发现不同的部分集成场景会对制造商的入侵策略产生不同的影响。在没有部分整合和PFI的情况下，当直接的每次使用的租赁渠道的固定投资成本较低时，制造商将会入侵。然而，在PBI下，维护成本和平台持股比例等附加因素也会影响均衡策略。在每种情况下，入侵都可能导致制造商和平台的双赢、双输、双赢和双输结果。其次，PFI下制造商批发价格随持股比例的增加而降低，PBI下制造商批发价格随持股比例的增加而增加，反映了股权的影响，平台租赁价格也有类似的趋势。这些结论表明，成员可以通过调整价格来适应不同股权结构和侵蚀的影响，股权越多的平台更有可能从制造商的侵蚀中受益。最后，考虑了两种扩展，包括制造商和平台承担的不同维护成本，以及部分集成的有效性，进一步验证了所提模型的鲁棒性。

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引用次数: 0

Pricing and wage decisions for on-demand food delivery platforms with multiple customer classes and courier pools 具有多个客户类别和快递员池的按需食品配送平台的定价和工资决策

IF 1 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

International Journal of Production Economics

Pub Date : 2025-09-22 DOI: 10.1016/j.ijpe.2025.109795

Yoo Seok Seo, JeongWook Lim, Byeong Kwon Lee, Kun Soo Park

The recent proliferation of food delivery services with crowdsourced couriers (delivery workers) has introduced new problems in the operations of on-demand food delivery platforms. An increase in crowdsourced couriers has diversified delivery transportation modes such as motorcycle, bike, and walk, which results in mode-specific maximum delivery distances according to their speeds. In addition, it is necessary to manage various customer classes with specific delivery distances between restaurants and customers. For a food delivery platform with multiple customer classes and courier pools, it is essential to optimize the delivery price charged to each customer, the wage paid to couriers, and matching between them to complete the food delivery within a reasonable amount of time. Hence, we study the operations decisions for the online food delivery platform that faces price- and time-sensitive customers with heterogeneous delivery distances and earning-sensitive couriers with heterogeneous transportation speeds. We formulate this problem as a multi-class multi-pool queueing and allocation problem. We find that the objective function of this optimization problem is inherently complex with respect to the number of customer classes and courier pools, making it unsuitable for standard convex optimization techniques. Hence, we propose a new Utilization-Based Multipoint (UBM) heuristic that exploits multiple initial points to derive near-optimal results efficiently. Our numerical experiments on both generated instances and real delivery data demonstrate that the proposed heuristic algorithm significantly outperforms the benchmark for all experiments.

最近，众包快递员（外卖工人）的外卖服务激增，给按需外卖平台的运营带来了新的问题。随着众包快递员数量的增加，配送方式多样化，如摩托车、自行车、步行等，这就导致了根据他们的速度不同，有特定模式的最大配送距离。此外，有必要管理不同的客户类别，并规定餐厅与客户之间的特定送货距离。对于一个拥有多个客户类别和快递员池的外卖平台来说，优化每个客户的外卖价格、支付给快递员的工资以及他们之间的匹配，以在合理的时间内完成外卖。因此，我们研究了在线食品配送平台的运营决策，该平台面对的是具有不同配送距离的价格和时间敏感型客户，以及具有不同运输速度的收入敏感型快递员。我们将此问题表述为一个多类多池排队与分配问题。我们发现，该优化问题的目标函数在客户类别和快递池的数量方面具有固有的复杂性，使其不适合标准的凸优化技术。因此，我们提出了一种新的基于利用率的多点启发式算法，该算法利用多个初始点来有效地获得接近最优的结果。我们在生成实例和实际交付数据上的数值实验表明，所提出的启发式算法在所有实验中都明显优于基准。

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引用次数: 0