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The impact of subcontracting on service systems with time-sensitive strategic customers 分包对具有时间敏感型战略客户的服务系统的影响
IF 1 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2026-01-08 DOI: 10.1016/j.ijpe.2026.109920
Myron Benioudakis
We consider a service system consisting of a provider who offers a service in a make-to-order fashion to a market of potential customers, and a subcontractor who can be recruited to speed up the service process. The provider operates a Markovian queue at a standard service rate and charges customers a fixed fee upon joining. At each busy cycle, the provider offers a salary to a subcontractor in exchange for increasing the service rate. The subcontractor decides whether to accept the offer while incurring a labor cost per unit of time. Arriving customers, who are strategic and time-sensitive, cannot observe the system’s queue length or the implemented service policy. They have a service value upon completion and incur a waiting cost per unit of time. Based on their utility maximization, they make individual join-or-balk decisions, considering both the behavior of other customers and the subcontractor’s strategic involvement.
We derive the equilibrium demand of customers as a response to the subcontractor’s commitment rate using a two-dimensional continuous-time Markov Chain. We define the collaboration regions based on salary thresholds, highlighting the reservation salaries that ensure collaboration between the two parties. Finally, using a Stackelberg game framework, we show that the subcontractor does not always opt for full commitment. When the provider relies less on subcontractor assistance, the subcontractor strategically prefers partial commitment, balancing the trade-off between idle periods and longer busy periods.
我们考虑一个服务系统,它由一个以订制方式向潜在客户市场提供服务的供应商和一个可以被招募来加快服务过程的分包商组成。提供商以标准费率运行马尔可夫队列,并在客户加入时收取固定费用。在每个繁忙周期,提供商向分包商提供工资,以换取提高服务率。分包商决定是否接受报价,同时产生单位时间的人工成本。到达的客户具有策略性和时间敏感性,他们无法观察到系统的队列长度或实现的服务策略。它们在完成时具有服务价值,并产生单位时间的等待成本。基于他们的效用最大化,他们在考虑其他客户的行为和分包商的战略参与的情况下,做出个人的加入或阻止决策。利用二维连续时间马尔可夫链导出了客户的均衡需求对分包商承诺率的响应。我们根据工资阈值定义协作区域,突出显示保证双方协作的保留工资。最后,使用Stackelberg博弈框架,我们表明分包商并不总是选择完全承诺。当供应商较少依赖分包商的帮助时,分包商在策略上倾向于部分承诺,以平衡空闲期和较长繁忙期之间的权衡。
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引用次数: 0
Effects of multiple incentive policies on carbon information disclosure strategies of power battery: A complex network evolutionary game analysis 多种激励政策对动力电池碳信息披露策略的影响:一个复杂网络进化博弈分析
IF 1 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2026-01-07 DOI: 10.1016/j.ijpe.2026.109919
Lu Zhu , Juan He
Power batteries are considered a key of electrification and low-carbon development in the transportation industry. Carbon information disclosure, as an environmental regulatory tool, plays a significant role in promoting carbon reduction efforts among power battery firms. While Chinese provinces and cities have introduced multiple policies to incentivize carbon information disclosure, existing research has paid limited attention to the impact of such incentive policies on power battery carbon information disclosure, particularly the effects of combined policy incentives. Therefore, this paper constructs a three-layer analytical framework integrating complex network topology association, evolutionary game strategy interaction, and policy combination scenario analysis to explore the effects of various subsidy policies (eg., carbon reduction subsidies) and financial policies (eg., disclosure support loans) and their combinations on carbon information disclosure by power battery firms. The study shows that both subsidy policies and financial policies can promote positive disclosure of carbon information for power batteries. However, financial policies alone have limited effects in promoting carbon information disclosure by power battery firms, and moderate subsidy policies are necessary. Policy combinations exhibit synergistic effects under certain conditions. Although pure subsidy-based combinations can effectively promote disclosure, they may increase the fiscal burden. It is advisable to transition gradually from pure subsidy-based combinations to “subsidy + financial” policy combinations. The three-layer analytical framework established in this study provides a reference for policymakers in making actual decisions.
动力电池被认为是交通运输行业电气化和低碳发展的关键。碳信息披露作为一种环境监管工具,对推动动力电池企业碳减排具有重要作用。虽然中国各省市出台了多种碳信息披露激励政策,但现有研究对这些激励政策对动力电池碳信息披露的影响,特别是政策激励组合的效果关注有限。为此,本文构建了一个集复杂网络拓扑关联、演化博弈策略交互、政策组合场景分析为一体的三层分析框架,探讨了不同补贴政策(如:(如碳减排补贴)和财政政策(如:(披露支持贷款)及其组合对动力电池企业碳信息披露的影响。研究表明,补贴政策和金融政策都能促进动力电池碳信息的积极披露。但单靠财政政策对动力电池企业碳信息披露的促进作用有限,需要适度的补贴政策。政策组合在一定条件下表现出协同效应。单纯以补贴为基础的合并虽然能有效促进披露,但也可能增加财政负担。建议从单纯的补贴型组合逐步过渡到“补贴+财政”的政策组合。本研究建立的三层分析框架为决策者在实际决策中提供了参考。
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引用次数: 0
Human vs. Generative AI: Strategic content creation mode choices for competing creators 人类vs.生成AI:竞争创造者的战略性内容创造模式选择
IF 1 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2026-01-05 DOI: 10.1016/j.ijpe.2026.109913
Nenggui Zhao , Youqing Wu , Kai Li
With the rapid development of the platform economy, product-related content (e.g., short videos, copywriting, and live streaming) has emerged as a pivotal determinant of consumer decision-making. The widespread adoption of Generative Artificial Intelligence (GAI) technology enables content creators to produce product-related content more efficiently and at lower cost, yet it concurrently introduces new challenges. Specifically, the proliferation of GAI has heightened consumer skepticism regarding the authenticity and reliability of GAI-created content. Therefore, achieving a balance between GAI application and consumer trust is crucial for content creators. This paper examines a retail platform with two competing content creators who face a strategic choice between two content creation strategies: GAI-creation and human-creation, with consumers exhibiting greater trust in the latter. Our findings indicate that when the costs of GAI-creation are low, creators increase their content effort levels and set higher selling prices. Conversely, higher GAI costs result in reduced effort levels and lower pricing. Notably, under low GAI-creation costs, adopting GAI proves beneficial for creators, irrespective of their competitors’ strategies. Furthermore, if both parties adopt the GAI-creation strategy, a triple-win situation can be achieved among the platform and the two creators. However, when the GAI-creation costs are high, creators eschew GAI adoption regardless of their competitors’ decisions. In such cases, mutual reliance on human-creation yields a triple-win outcome for the entire supply chain. Finally, under hybrid strategy scenarios, the platform systematically guides creators with greater market influence toward the content creation strategy that holds relative advantages.
随着平台经济的快速发展,与产品相关的内容(如短视频、文案、直播等)已经成为影响消费者决策的关键因素。生成式人工智能(GAI)技术的广泛采用使内容创作者能够以更低的成本更高效地生产与产品相关的内容,但同时也带来了新的挑战。具体来说,GAI的扩散加剧了消费者对GAI创建内容的真实性和可靠性的怀疑。因此,实现GAI应用和消费者信任之间的平衡对于内容创造者来说是至关重要的。本文研究了一个零售平台,该平台有两个相互竞争的内容创造者,他们面临着两种内容创造策略的战略选择:人工智能创造和人类创造,消费者对后者表现出更大的信任。我们的研究结果表明,当人工智能创造的成本较低时,创作者会增加他们的内容努力水平,并设定更高的销售价格。相反,较高的GAI成本会导致工作水平的降低和价格的降低。值得注意的是,在低人工智能创造成本的情况下,采用人工智能证明对创造者是有益的,而不管其竞争对手的策略如何。此外,如果双方都采用ai创作策略,则可以实现平台与两家创作者的三赢局面。然而,当人工智能的创造成本很高时,创造者就会不顾竞争对手的决定而回避采用人工智能。在这种情况下,对人类创造的相互依赖为整个供应链带来了三赢的结果。最后,在混合策略场景下,平台系统地引导具有较大市场影响力的创作者走向具有相对优势的内容创作策略。
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引用次数: 0
Who should lead the decarbonization transition? Leadership and shared responsibility in decarbonization supply chains 谁应该领导脱碳转型?在脱碳供应链中发挥领导作用并分担责任
IF 1 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2026-01-05 DOI: 10.1016/j.ijpe.2026.109911
Qingyu Liu , Bin Shen , Ciwei Dong , Dong Yang
Growing concerns over global climate change, net-zero targets and the urgency to fulfill Sustainable Development Goals (SDGs) have intensified the need for effective decarbonization strategies. Collaborative efforts among manufacturers and retailers can accelerate the transition from high-carbon products (HCPs) to decarbonization products (DCPs). This paper analyzes a two-period supply chain with two leadership strategies for guiding the decarbonization level: the manufacturer-led decarbonization (M-DCPs) strategy and the retailer-led decarbonization (R-DCPs) strategy. Supported by a shared responsibility mechanism, these strategies influence both the supply chain's long-term profitability and its overall emission reductions. Our findings show that when either firm adopts a long-term perspective and assumes the leadership role in the decarbonization level, the leader can enhance its own profitability. In contrast, focusing on a short-term perspective may cause firms to bypass the decarbonization transition, suggesting that such a transition does not necessarily offer immediate profitability. Moreover, we find that although DCPs may exhibit a lower second-period price and demand after the decarbonization transition relative to the pre-transition period, from a profitability perspective, the M-DCPs strategy yields higher overall profitability for the supply chain; while from an environmental perspective, the R-DCPs strategy achieves more emission reductions. Notably, only the M-DCPs strategy achieves a Pareto improvement while this outcome cannot achieve under the R-DCPs strategy. Our findings emphasize the need for a forward-looking commitment to decarbonization, supported by an effective shared responsibility mechanism, to advance environmental goals, enhance supply chain profitability and guide industry professionals in fostering collective decarbonization transitions in multi-period contexts.
对全球气候变化、净零排放目标以及实现可持续发展目标的紧迫性的日益关注,加剧了对有效脱碳战略的需求。制造商和零售商之间的合作可以加速从高碳产品(HCPs)向脱碳产品(dcp)的过渡。本文分析了两期供应链的两种领导策略:制造商主导的脱碳(m - dcp)战略和零售商主导的脱碳(r- dcp)战略。在共同责任机制的支持下,这些战略既影响供应链的长期盈利能力,也影响供应链的总体减排。我们的研究结果表明,当任何一家企业采用长期视角并在脱碳层面担任领导角色时,领导者都可以提高自身的盈利能力。相比之下,关注短期前景可能会导致企业绕过脱碳转型,这表明这种转型不一定能立即带来盈利。此外,我们发现,尽管dcp在脱碳转型后的第二阶段价格和需求可能低于转型前,但从盈利能力的角度来看,m - dcp战略为供应链带来了更高的整体盈利能力;而从环境角度来看,r - dcp战略实现了更多的减排。值得注意的是,只有m - dcp策略实现了帕累托改进,而r - dcp策略无法实现这一结果。我们的研究结果强调,需要在有效的共同责任机制的支持下,对脱碳做出前瞻性承诺,以推进环境目标,提高供应链盈利能力,并指导行业专业人士在多时期背景下促进集体脱碳转型。
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引用次数: 0
Applying sequential bifurcation and feed-forward simulation to reduce the prescriptive response time of a digital twin 应用顺序分岔和前馈模拟减少数字孪生的规定响应时间
IF 1 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2026-01-03 DOI: 10.1016/j.ijpe.2026.109912
Ryan B. Walton, Frank W. Ciarallo, Lance E. Champagne
Recent advances in digital twin research have increasingly emphasized their role in real-time decision support for production and logistics systems, yet significant methodological gaps remain in enabling timely prescriptive analytics. This study addresses these gaps by proposing and evaluating an integrated approach that accelerates a digital twin’s ability to generate effective, computationally feasible decisions under dynamic operating conditions. This research envisions the digital twin as a decision support system capable of timely, relevant, and effective decision-making. To achieve this promise, the digital twin can describe its environment, predict future events, prescribe a course of action, and then actualize this course of action in the physical system. To ensure the decision is timely, relevant, and effective, the ability to quickly prescribe courses of action becomes paramount. This research addresses the fundamental trade-off between decision speed and depth of insight. Navigating this trade-off is facilitated by effective use of models to produce timely information, rapid identification of critical factors that drive decisions, and implementation of decisions when sufficient insight is available.
To address this need, the study integrates sequential bifurcation and feed-forward discrete event simulation to accelerate the digital twin’s ability to prescribe effective actions in real time. Sequential bifurcation efficiently narrows the decision space by identifying key input factors, while feed-forward simulation decomposes long simulations into shorter segments to enable earlier, partial decisions. Together, these methods significantly reduce prescriptive response time without compromising decision quality, supporting the digital twin’s role as a responsive decision support system. The paper also formalizes the trade-off between decision speed and depth of insight, offering a layered decision-making strategy to balance these competing demands. Experimental results demonstrate substantial improvements in decision timeliness and operational performance.
数字孪生体研究的最新进展越来越强调它们在生产和物流系统的实时决策支持中的作用,但在实现及时的规范性分析方面仍然存在重大的方法差距。本研究通过提出和评估一种集成方法来解决这些差距,该方法可以加速数字孪生体在动态操作条件下生成有效、计算可行决策的能力。本研究设想数字孪生作为一个决策支持系统能够及时,相关和有效的决策。为了实现这一承诺,数字孪生体可以描述其环境,预测未来事件,规定行动过程,然后在物理系统中实现这一行动过程。为了确保决策的及时性、相关性和有效性,快速制定行动方案的能力变得至关重要。本研究解决了决策速度和洞察力深度之间的基本权衡。通过有效地使用模型来产生及时的信息,快速识别驱动决策的关键因素,以及在有足够的洞察力时执行决策,可以促进这种权衡。为了满足这一需求,该研究集成了顺序分岔和前馈离散事件模拟,以加速数字孪生体实时规定有效行动的能力。序列分岔通过识别关键输入因素有效地缩小了决策空间,而前馈模拟将长模拟分解为更短的部分,以实现更早的部分决策。总之,这些方法在不影响决策质量的情况下显著减少了规定的响应时间,支持数字孪生作为响应性决策支持系统的角色。本文还形式化了决策速度和洞察力深度之间的权衡,提供了一种分层的决策策略来平衡这些相互竞争的需求。实验结果表明,在决策时效性和操作性能方面有了实质性的改进。
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引用次数: 0
The impact of financialization on firm resilience: A supply chain perspective 金融化对企业弹性的影响:供应链视角
IF 1 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2025-12-16 DOI: 10.1016/j.ijpe.2025.109899
Yinan Qi, Fei Liu
Amid the escalation of geopolitical tensions, economic turbulence, and global supply disruptions, financialization has emerged as an increasingly pivotal way to shape firm resilience. Previous research has predominantly concentrated on the risks associated with financialization at the individual firm level. This study explores the mechanisms through which financialization impacts firm resilience, both directly and via supply chain dynamics. Drawing on a comprehensive panel of dyadic (buyer-supplier) quarterly data from Chinese listed companies from 2016 to 2023, we discover that the financialization of the buyer (the focal firm of this study) significantly erodes its resilience. Moreover, buyer financialization has a spillover effect that induces supplier financialization, and in turn, supplier financialization undermines the resilience of the buyer. Further analysis reveals that supply chain relationship duration weakens the positive effect of buyer financialization on supplier financialization and alleviates the negative impact of supplier financialization on buyer firm resilience. This research contributes substantially to the literature on financialization, supply chain spillover, and firm resilience by revealing the interfirm dynamics that shape resilience outcomes. It also offers practical implications for managers seeking to balance financial investment strategies with supply chain stability under conditions of global uncertainty.
在地缘政治紧张局势升级、经济动荡和全球供应中断的背景下,金融化已成为塑造企业韧性的越来越重要的方式。以前的研究主要集中在单个公司层面上与金融化相关的风险。本研究探讨了金融化通过直接和通过供应链动态影响企业弹性的机制。利用2016年至2023年中国上市公司二元(买方-供应商)季度数据的综合面板,我们发现买方(本研究的重点公司)的金融化显著侵蚀了其弹性。此外,买方金融化具有溢出效应,导致供应商金融化,而供应商金融化反过来又破坏了买方的弹性。进一步分析发现,供应链关系持续时间削弱了买方金融化对供应商金融化的正向影响,缓解了供应商金融化对买方企业弹性的负向影响。本研究通过揭示影响弹性结果的企业间动态,对金融化、供应链溢出和企业弹性的文献做出了重大贡献。它还为寻求在全球不确定性条件下平衡金融投资战略与供应链稳定性的管理人员提供了实际意义。
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引用次数: 0
From networked control systems to supply chain cyber-security: A redundant channel approach for FDIA mitigation 从网络控制系统到供应链网络安全:缓解FDIA的冗余通道方法
IF 1 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2025-12-16 DOI: 10.1016/j.ijpe.2025.109893
Yi Yang
With the deeper integration of supply chains (SCs) and communication technologies, modern SCs are now facing cyber-security threats, particularly due to the increased connectivity and data vulnerabilities within networked environments. This study investigates the impacts of the cyber-attack, i.e. the false data injection attack (FDIA) on the SC and designs countermeasures to the FDIA. First, a novel SC framework is established from the control-theoretic perspective. The role of each member in the SC is conceptualized in accordance with the definition of the networked control system. Second, the FDIA is regarded as a distinctive SC risk, which is characterized by the malicious manipulation of transmitted data and the destruction of its authenticity. Third, the redundant channel strategy is employed to provide reliable communication channels that are free of cyber-attacks for emergency suppliers and temporary warehouses exchanging data with the decision centre. Furthermore, mixed integer programming models are proposed to determine countermeasures and optimize cyber-security investments. Through simulation-based analysis, the synergistic impacts of the FDIA on the SC performance under different cyber-attack intensities and different customer behaviours are examined. The results illustrate the efficacy of the proposed strategies in mitigating the adverse effects of the FDIA and improving SC resilience. The findings enhance the understanding of SC managers regarding the adoption of recovery strategies to mitigate cyber-attack risks. Moreover, the outcomes can be instructive for cyber-attackers when launching the FDIA in the SC context.
随着供应链和通信技术的深入融合,现代供应链正面临着网络安全威胁,特别是由于网络环境中连接性和数据漏洞的增加。本研究探讨了网络攻击,即虚假数据注入攻击(FDIA)对供应链的影响,并设计了针对FDIA的对策。首先,从控制理论的角度建立了一个新的供应链管理框架。根据网络控制系统的定义,对SC中每个成员的角色进行了概念化。其次,FDIA被视为一种独特的SC风险,其特征是对传输数据进行恶意操纵并破坏其真实性。第三,采用冗余通道策略,为应急供应商和与决策中心交换数据的临时仓库提供无网络攻击的可靠通信通道。在此基础上,提出了混合整数规划模型来确定对策和优化网络安全投资。通过仿真分析,考察了不同网络攻击强度和不同客户行为下FDIA对供应链绩效的协同影响。结果表明,所提出的策略在减轻FDIA的不利影响和提高SC弹性方面是有效的。研究结果增强了供应链管理人员对采用恢复策略以减轻网络攻击风险的理解。此外,研究结果对网络攻击者在SC环境下启动FDIA具有指导意义。
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引用次数: 0
A modeling and optimization approach to a tactical sugarcane harvest planning problem 战术甘蔗收获规划问题的建模与优化方法
IF 1 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2025-12-15 DOI: 10.1016/j.ijpe.2025.109896
Willy A. Oliveira Soler , Maristela Oliveira Santos , Rogério de Ávila Ribeiro Junqueira , Reinaldo Morabito
In this paper, we address a tactical sugarcane harvest planning problem commonly faced by industries that cultivate, harvest, and process sugarcane in Brazil and some other countries. The problem involves a single mill that must harvest sugarcane from several geographically dispersed areas (harvest blocks) using capacitated mechanized harvest fronts. The objective is to minimize the total costs of the harvest process while satisfying operational constraints, including capacity limits for transportation and harvesting. We propose a new mixed-integer programming (MIP) model and develop MIP-based constructive and improvement heuristic procedures. In the constructive phase, the method generates a strong dual bound and an initial feasible solution, while the improvement phase refines this solution to achieve higher quality. The efficiency of the proposed methods is evaluated through computational experiments using a dataset based on real-world scenarios. Additionally, a sensitivity analysis provides managerial insights by examining different harvest front configurations.
在本文中,我们解决了巴西和其他一些国家甘蔗种植、收获和加工行业普遍面临的战术甘蔗收获计划问题。这个问题涉及到一个单一的工厂,它必须从几个地理上分散的地区(收获区)使用有能力的机械化收获前线收割甘蔗。目标是在满足操作限制的同时,将收获过程的总成本降到最低,包括运输和收获的能力限制。提出了一种新的混合整数规划模型,并开发了基于混合整数规划的建设性和改进启发式程序。在构造阶段,该方法生成一个强对偶界和一个初始可行解,而改进阶段则对该解进行细化,以获得更高的质量。通过基于真实场景的数据集的计算实验,评估了所提出方法的效率。此外,敏感性分析通过检查不同的收获前端配置提供管理见解。
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引用次数: 0
Decision models for on-premises parcel lockers service revenue management 本地包裹寄存柜服务收益管理的决策模型
IF 1 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2025-12-13 DOI: 10.1016/j.ijpe.2025.109894
Seyed Sina Mohri , Hadi Ghaderi , Reza Zanjirani Farahani , Neema Nassir , Russell G. Thompson
On-premises parcel lockers (OPLs) have recently garnered attention as a convenient, safe, and secure parcel delivery solution in urban areas. Companies like Amazon Hub, GroundFloor, and My Parcel Locker have adopted basic Service Revenue Models (SRMs), providing OPLs in buildings under different contract arrangements, such as subscription models and annual partnership fees. However, high capital and ongoing costs impede the adoption of OPLs in small buildings. This study aims to develop advanced decision models for the revenue management of on-premises parcel lockers by developing extensions to the basic SRM. The extensions function by incorporating the concept of carriers paying a service fee and buildings receiving services through partnership agreements. Two distinct partnership scenarios are evaluated: (i) a building hosts the OPL while serving neighbouring buildings, and (ii) collaboration with the local government, where authorities establish shared OPLs in public space near designated buildings, promoting sustainable urban delivery. Alternative SRMs are formulated using novel optimisation techniques, and equilibrium points are identified and analytically evaluated to determine optimal service fees and contract durations. Using real-life data from Melbourne, this study compares the performance of these models under different scenarios. Using real-life data from Melbourne, this study compares the performance of the proposed models under various scenarios. While partnerships involving shared public OPLs supported by local governments remain the most cost-effective overall, incorporating modest land costs slightly reduces their advantage, though they continue to offer the most feasible and widely accepted solution.
本地包裹寄存柜(opl)作为城市地区方便、安全、可靠的包裹递送解决方案,最近引起了人们的关注。Amazon Hub、GroundFloor和My Parcel Locker等公司采用了基本服务收入模式(srm),在不同的合同安排下,如订阅模式和年度合作费用,为建筑物提供opl。然而,高昂的资本和持续的成本阻碍了在小型建筑物中采用opl。本研究旨在通过开发基本SRM的扩展,为本地包裹储物柜的收益管理开发先进的决策模型。扩展的功能是将运营商支付服务费和建筑物通过合作协议接受服务的概念结合在一起。评估了两种不同的合作方案:(i)一栋建筑在为邻近建筑提供服务的同时承载OPL,以及(ii)与当地政府合作,当局在指定建筑附近的公共空间建立共享的OPL,促进可持续的城市交付。采用新颖的优化技术制定了备选srm,确定并分析评估了平衡点,以确定最佳服务费用和合同期限。本研究使用来自墨尔本的真实数据,比较了这些模型在不同场景下的性能。使用来自墨尔本的真实数据,本研究比较了所提出的模型在不同场景下的性能。虽然由地方政府支持的涉及共享公共运营项目的伙伴关系总体上仍然是最具成本效益的,但纳入适度的土地成本会略微降低其优势,尽管它们仍然是最可行和被广泛接受的解决方案。
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引用次数: 0
Lean and organizational resilience: A discussion 精益和组织弹性:讨论
IF 1 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2025-12-13 DOI: 10.1016/j.ijpe.2025.109897
Guilherme Tortorella , Maneesh Kumar , Matthias Thürer , Tyson R. Browning , Peter Hines , David Romero , Andrea Furlan
Lean is widely regarded as a strategic management approach to increase competitiveness by systematically eliminating waste through the active involvement of employees. Nevertheless, during low-probability, high-impact disruptive events, many organizations utilizing Lean face severe negative implications, which raise doubts about Lean's effectiveness. This article aims to discuss how Lean impacts organizational resilience based on the concepts proposed by Biringer et al. (2013), who defined resilience capability through three categories: absorptive capability, adaptive capability, and restorative capability. Extensive debates among the authors and a narrative literature review were conducted, allowing for a deeper discussion and the formulation of research propositions. By discriminating the effects of Lean adoption across different capabilities, we can disentangle the Lean-resilience relationship. Overall, we argue that organizations with higher levels of Lean implementation may be able to adapt and restore more easily from severe disruptive events than organizations with lower implementation levels. In turn, organizations with lower levels of Lean implementation might present greater organizational slack that favors the absorption of the implications caused by such disruptions, which is less expected in high-Lean organizations. Our study disentangles the inherent paradox or tension in the relationship between Lean and resilience, showing that a time dimension is introduced by the different capabilities that explain the differing impacts of Lean. This leads to opportunities for further investigation of Lean and organizational resilience.
精益被广泛认为是一种战略管理方法,通过员工的积极参与,系统地消除浪费,从而提高竞争力。然而,在低概率、高影响的破坏性事件中,许多使用精益的组织面临着严重的负面影响,这使人们对精益的有效性产生了怀疑。本文旨在根据Biringer et al.(2013)提出的概念,讨论精益如何影响组织弹性。Biringer et al.(2013)通过吸收能力、适应能力和恢复能力三类来定义弹性能力。作者之间进行了广泛的辩论,并进行了叙述文献综述,允许更深入的讨论和研究命题的制定。通过区分不同能力对精益采用的影响,我们可以理清精益与弹性的关系。总体而言,我们认为精益实施水平较高的组织可能比实施水平较低的组织更容易适应和恢复严重的破坏性事件。反过来,精益实施水平较低的组织可能会表现出更大的组织松弛,这有利于吸收由这种中断引起的影响,这在高精益组织中是不太可能的。我们的研究解开了精益与弹性之间的内在矛盾或紧张关系,表明不同的能力引入了一个时间维度,解释了精益的不同影响。这为进一步研究精益和组织弹性提供了机会。
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International Journal of Production Economics
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