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Simulation-Based Optimization of Truck Appointment Systems in Container Terminals: A Dual Transactions Approach with Improved Congestion Factor Representation 基于仿真的集装箱码头卡车预约系统优化:改进拥堵因素表示的双重交易方法
Pub Date : 2024-08-09 DOI: 10.3390/logistics8030080
Davies K. Bett, Islam Ali, M. Gheith, Amr Eltawil
Background: Container terminals (CTs) have constantly administered truck appointment systems (TASs) to effectively accomplish the planning and scheduling of drayage operations. However, since the operations in the gate and yard area of a CT are stochastic, there is a need to incorporate uncertainty during the development and execution of appointment schedules. Further, the situation is complicated by disruptions in the arrival of external trucks (ETs) during transport, which results in congestion at the port due to unbalanced arrivals. In the wake of Industry 4.0, simulation can be used to test and investigate the present CT configurations for possible improvements. Methods: This paper presents a simulation optimization (SO) and simulation-based optimization (SBO) iteration framework which adopts a dual transactions approach to minimize the gate operation costs and establish the relationship between productivity and service time while considering congestion in the yard area. It integrates the use of both the developed discrete event simulation (DES) and a mixed integer programming (MIP) model from the literature to iteratively generate an improved schedule. The key performance indicators considered include the truck turnaround time (TTT) and the average time the trucks spend at each yard block (YB). The proposed approach was verified using input parameters from the literature. Results: The findings from the SO experiments indicate that, at most, two gates were required to be opened at each time window (TW), yielding an average minimum operating cost of USD 335.31. Meanwhile, results from the SBO iteration experiment indicate an inverse relationship between productivity factor (PF) values and yard crane (YC) service time. Conclusions: Overall, the findings provided an informed understanding of the need for dynamic scheduling of available resources in the yard to cut down on the gate operating costs. Further, the presented two methodologies can be incorporated with Industry 4.0 technologies to design digital twins for use in conventional CT by planners at an operational level as a decision-support tool.
背景:集装箱码头(CT)一直采用卡车预约系统(TAS)来有效完成拖运作业的计划和调度。然而,由于集装箱码头闸口和堆场区域的运营是随机的,因此在制定和执行预约时间表时需要考虑不确定性。此外,运输过程中外部卡车(ET)的到达中断也会使情况变得更加复杂,从而导致不均衡的到达造成港口拥堵。在工业 4.0 时代到来之际,可以利用仿真来测试和研究目前的 CT 配置,以寻求可能的改进。方法:本文提出了一个仿真优化(SO)和基于仿真的优化(SBO)迭代框架,该框架采用双重事务处理方法,在考虑堆场拥堵问题的同时,最大限度地降低闸门运营成本,并建立生产率与服务时间之间的关系。它综合使用了已开发的离散事件仿真(DES)和文献中的混合整数编程(MIP)模型,以迭代生成改进的时间表。考虑的关键性能指标包括卡车周转时间 (TTT) 和卡车在每个堆场区块 (YB) 的平均停留时间。利用文献中的输入参数对所提出的方法进行了验证。结果:SO 实验结果表明,每个时间窗口 (TW) 最多需要打开两个闸门,平均最低运营成本为 335.31 美元。同时,SBO 迭代实验结果表明,生产率因子 (PF) 值与堆场起重机 (YC) 服务时间之间存在反比关系。结论:总之,研究结果让我们了解了对堆场可用资源进行动态调度的必要性,以降低大门运营成本。此外,所介绍的两种方法可与工业 4.0 技术相结合,设计数字孪生系统,供规划人员在操作层面上作为决策支持工具在传统 CT 中使用。
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引用次数: 0
Multi-Objective Technology-Based Approach to Home Healthcare Routing Problem Considering Sustainability Aspects 基于多目标技术的家庭医疗路由问题解决方法(考虑可持续性因素
Pub Date : 2024-07-23 DOI: 10.3390/logistics8030075
A. Zaid, Ahmed R. Asaad, Mohammed Othman, Ahmad Haj Mohammad
Background: This research aims to solve a home healthcare vehicle routing problem (HHCVRP) model that considers the social aspect of sustainability and will be implemented in smart cities. In addition to the dynamism and uncertainty caused by variations in the patient’s condition, the proposed model considers parameters and variables that enhance its practicability, such as assuming different levels of patient importance (priority). Methods: The model was solved using a metaheuristic algorithm approach via the Ant Colony Optimization algorithm and the Non-Dominated Sorting technique due to the ability of such a combination to work out with dynamic models with uncertainties and multi-objectives. Results: This study proposes a novel mathematical model by integrating body sensors on patients to keep updating their conditions and prioritizing critical conditions in service. The sensitivity analysis demonstrates that using a heart rate sensor improves service quality and patient satisfaction without affecting the energy consumed. In addition, quality costs are increased if the importance levels of patients increase. Conclusions: The suggested model can assist healthcare practitioners in tracking patients’ health conditions to improve the quality of service and manage workload effectively. A trade-off between patient satisfaction and service provider satisfaction should be maintained.
研究背景本研究旨在解决家庭医疗保健车辆路由问题(HHCVRP)模型,该模型考虑了可持续发展的社会方面,并将在智能城市中实施。除了病人病情变化引起的动态性和不确定性外,所提出的模型还考虑了一些参数和变量,以提高其实用性,例如假设病人的重要性(优先级)不同。方法:由于蚁群优化算法和非支配排序技术的组合能够解决具有不确定性和多目标的动态模型问题,因此采用了元启发式算法来解决该模型。研究结果本研究提出了一个新颖的数学模型,通过整合病人身上的传感器,不断更新病人的病情,并在服务中优先考虑危重病人。敏感性分析表明,使用心率传感器可提高服务质量和患者满意度,但不会影响能耗。此外,如果患者的重要程度增加,质量成本也会增加。结论:建议的模型可以帮助医疗从业人员跟踪患者的健康状况,从而提高服务质量并有效管理工作量。应在患者满意度和服务提供者满意度之间保持权衡。
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引用次数: 0
Enhancing Supplier Selection for Sustainable Raw Materials: A Comprehensive Analysis Using Analytical Network Process (ANP) and TOPSIS Methods 加强可持续原材料供应商的选择:使用分析网络过程 (ANP) 和 TOPSIS 方法进行综合分析
Pub Date : 2024-07-18 DOI: 10.3390/logistics8030074
I. Masudin, Isna Zahrotul Habibah, Rahmad Wisnu Wardana, D. Restuputri, S. R. Shariff
Background: This research endeavors to enhance supplier selection processes by combining the Analytic Network Process (ANP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methodologies, with a specific focus on sustainability criteria. Method: Initially comprising 21 sub-criteria derived from prior research, the selection criteria are refined to 17, eliminating redundant elements. The core principle guiding this refinement is the comprehensive coverage of economic, social, and environmental dimensions, essential for sustainable supplier evaluation. Results: The study’s outcomes underscore the paramount importance of economic criteria (0.0652) in supplier selection, followed by environmental (0.0343) and social dimensions (0.0503). Key sub-criteria contributing significantly to this evaluation encompassed consistent product quality, competitive raw material pricing, proficient labor capabilities, recycling potential, punctual delivery performance, and effective waste management practices. Conclusions: These sub-criteria are thoughtfully integrated into the sustainable assessment framework, aligning seamlessly with the economic, environmental, and social criteria.
研究背景:本研究致力于通过结合分析网络过程(ANP)和理想解相似度排序技术(TOPSIS)方法来改进供应商选择过程,并特别关注可持续发展标准。方法:最初的选择标准包括 21 个子标准,这些子标准来自于之前的研究,后来被细化为 17 个,去除了多余的元素。指导这一改进的核心原则是全面覆盖经济、社会和环境维度,这对可持续供应商评估至关重要。结果:研究结果表明,经济标准(0.0652)在供应商选择中至关重要,其次是环境标准(0.0343)和社会标准(0.0503)。对这一评价有重要贡献的关键子标准包括:稳定的产品质量、有竞争力的原材料价格、熟练的劳动能力、回收利用潜力、准时交货性能和有效的废物管理实践。结论这些次级标准与经济、环境和社会标准完美地结合在一起,是对可持续评估框架的深思熟虑。
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引用次数: 0
Enhancing Supply Chain Agility and Sustainability through Machine Learning: Optimization Techniques for Logistics and Inventory Management 通过机器学习提高供应链的灵活性和可持续性:物流和库存管理的优化技术
Pub Date : 2024-07-17 DOI: 10.3390/logistics8030073
Vikram Pasupuleti, Bharadwaj Thuraka, Chandra Shikhi Kodete, Saiteja Malisetty
As global supply chains face increasing complexity, the demand for agile and sustainable management strategies has become more critical. This study employs advanced machine learning (ML) techniques to transform logistics and inventory management, moving beyond the constraints of traditional analytical methods. Utilizing historical data from a multinational retail corporation, including sales, inventory levels, order fulfillment rates, and operational costs, we have applied a range of ML algorithms such as regression, classification, clustering, and time series analysis. These models were developed to tackle key operational challenges, enhancing decision-making by improving demand forecasting accuracy by 15%, optimizing stock levels by reducing overstock and stockouts by 10%, and predicting order fulfillment timelines with 95% accuracy. Additionally, our approach enabled the identification of at-risk shipments and the segmentation of customers based on their delivery preferences, facilitating personalized service offerings. A comprehensive evaluation of these models showed significant improvements in predictive accuracy, efficiency in lead time by 12%, silhouette coefficients for clustering at 0.75, and a reduction in replenishment errors by 8%, highlighting the transformative potential of ML in making supply chain operations more responsive and data driven.
随着全球供应链面临的复杂性不断增加,对敏捷和可持续管理战略的需求变得更加迫切。本研究采用先进的机器学习(ML)技术来改变物流和库存管理,超越了传统分析方法的限制。利用一家跨国零售公司的历史数据,包括销售额、库存水平、订单执行率和运营成本,我们应用了一系列 ML 算法,如回归、分类、聚类和时间序列分析。开发这些模型的目的是应对关键的运营挑战,通过将需求预测准确率提高 15%、通过将超储和缺货率降低 10%来优化库存水平,以及以 95% 的准确率预测订单执行时间表,从而增强决策能力。此外,我们的方法还能识别风险货物,并根据客户的交付偏好对其进行细分,从而促进个性化服务的提供。对这些模型的综合评估显示,预测准确率有了显著提高,提前期效率提高了 12%,聚类的剪影系数达到了 0.75,补货错误减少了 8%,这凸显了人工智能在提高供应链运营响应速度和数据驱动力方面的变革潜力。
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引用次数: 1
An Examination of Human Fast and Frugal Heuristic Decisions for Truckload Spot Pricing 对卡车现货定价中人类快速和节俭启发式决策的研究
Pub Date : 2024-07-16 DOI: 10.3390/logistics8030072
Michael Haughton, Alireza Amini
Background: One of several logistics contexts in which pricing decisions are made involves truckload carriers using reverse auctions to bid for prices they want for their transportation services while operating under uncertainty about factors such as their (i) operations costs and (ii) rivals’ bids. This study’s main purpose is to explore humans’ use of fast and frugal heuristics (FFHs) to navigate those uncertainties. In particular, the study clarifies the logic, theoretical underpinnings, and performance of human FFHs. Methods: The study uses behavior experiments as its core research method. Results: The study’s key findings are that humans use rational FFHs, yet, despite the rationality, human decisions yield average profits that are 35% below profits from price optimization models. The study also found that human FFHs yield very unstable outcomes: the FFH coefficient of variation in profit is twice as large as price optimization. Novel contributions inherent in these findings include (a) clarifying connections between spot market auction pricing and behavioral theories and (b) adding truckload spot markets to the literature’s contexts for measuring performance gaps between human FFHs and optimization models. Conclusions: The contributions have implications for practical purposes that include gauging spot pricing decisions made under constraints such as limited access to price optimization tools.
背景:在作出定价决策的若干物流情境中,其中之一是卡车承运商利用反向拍卖为其运输服务出价,而他们的(i)运营成本和(ii)竞争对手的出价等因素具有不确定性。本研究的主要目的是探索人类如何使用快速节俭启发式(FFHs)来应对这些不确定性。本研究尤其要阐明人类快速节俭启发法的逻辑、理论基础和性能。研究方法本研究以行为实验为核心研究方法。结果研究的主要发现是,人类使用理性的财务自由决策,然而,尽管理性,人类决策产生的平均利润却比价格优化模型的利润低 35%。研究还发现,人类的财务自由决策产生的结果非常不稳定:财务自由决策的利润变化系数是价格优化的两倍。这些发现的新贡献包括:(a) 阐明了现货市场拍卖定价与行为理论之间的联系;(b) 在文献中增加了卡车现货市场的内容,以衡量人类全货运公司与优化模型之间的绩效差距。结论:这些贡献具有实际意义,包括衡量在价格优化工具有限等限制条件下做出的现货定价决策。
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引用次数: 0
Transforming E-Commerce Logistics: Sustainable Practices through Autonomous Maritime and Last-Mile Transportation Solutions 变革电子商务物流:通过自主海运和最后一英里运输解决方案实现可持续实践
Pub Date : 2024-07-15 DOI: 10.3390/logistics8030071
Nistor Andrei, Cezar Scarlat, Alexandra Ioanid
The logistics landscape in e-commerce is undergoing a profound transformation toward sustainability and autonomy. This paper explores the implementation of autonomous maritime and last-mile transportation solutions to optimize the entire logistics chain from factory to customer. Building on the lessons learned from the maritime industry’s digital transformation, the study identifies key features and proposes a forward-looking autonomous maritime and last-mile transportation system. Emphasizing the role of geospatial technologies, the proposed system employs GIS-based electronic route optimization for efficient goods delivery, integrating onboard and ashore GIS-based sensors for enhanced location precision. A case study was built to analyze the implementation of autonomous means of transport along the route of a product from factory to customer. The integration of autonomous systems shows substantial improvements in logistics performance. Synchromodal logistics and smart steaming techniques can be utilized to optimize transportation routes, resulting in reduced fuel consumption and emissions. The findings reveal that autonomous maritime and last-mile transport systems can significantly enhance the efficiency, flexibility and sustainability of e-commerce logistics. The study emphasizes the need for advanced technological integration and provides a comprehensive framework for future research and practical applications in the logistics industry.
电子商务领域的物流格局正朝着可持续性和自主性方向发生深刻转变。本文探讨了如何实施自主海运和最后一英里运输解决方案,以优化从工厂到客户的整个物流链。基于从海运业数字化转型中汲取的经验教训,本研究确定了关键特征,并提出了具有前瞻性的自主海运和最后一英里运输系统。该系统强调地理空间技术的作用,采用基于地理信息系统的电子路线优化来实现高效的货物交付,同时整合船上和岸上基于地理信息系统的传感器来提高定位精度。通过案例研究,分析了在产品从工厂到客户的运输路线上实施自主运输工具的情况。自主系统的整合大大提高了物流绩效。同步物流和智能蒸汽技术可用于优化运输路线,从而减少燃料消耗和排放。研究结果表明,自主海运和最后一英里运输系统可显著提高电子商务物流的效率、灵活性和可持续性。研究强调了先进技术集成的必要性,并为物流业未来的研究和实际应用提供了一个全面的框架。
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引用次数: 0
Does Environmental Performance Make Any Difference in the Relationship between Green Supply Chain Management and Hotel Competitiveness? 绿色供应链管理与酒店竞争力之间的关系中,环境绩效是否会产生影响?
Pub Date : 2024-07-11 DOI: 10.3390/logistics8030070
Abdulaziz Aljoghaiman, Ahmed M. Hasanein, I. Elshaer, A. Sobaih
Background: This research examines the direct influence of green supply chain management (GSCM) on hotel competitiveness and the indirect impact through environmental performance (EP). The competition between enterprises in today’s changing marketplace has significantly heightened. Therefore, identifying the factors that contribute to an enterprises’ competitiveness has become more essential than it was previously. Methods: We adopted a pre-tested scale drawn from previous related studies and we were able to collect 430 forms from managers and department heads in Saudi Arabian hotels. Results: The study findings of the structural model by PLS-SEM revealed that environmental and economic GSCM had a considerable beneficial influence on hotel competitiveness. However, the social aspect of GSCM failed to have an extensive effect on hotel competitiveness. All three dimensions of GSCM have a substantial indirect influence on hotel competitiveness via EP. Conclusion: The study developed a complete model that integrates the elements of GSCM with EP and hotel competitiveness. The study presents numerous implications for hoteliers and academics.
背景:本研究探讨了绿色供应链管理(GSCM)对酒店竞争力的直接影响,以及通过环境绩效(EP)产生的间接影响。在当今瞬息万变的市场环境中,企业之间的竞争明显加剧。因此,确定有助于提高企业竞争力的因素比以往更加重要。研究方法我们采用了根据以往相关研究预先测试的量表,并从沙特阿拉伯酒店的经理和部门主管处收集了 430 份表格。结果:PLS-SEM 结构模型的研究结果表明,环境和经济方面的 GSCM 对酒店竞争力有相当大的有利影响。然而,GSCM 的社会层面未能对酒店竞争力产生广泛影响。GSCM的三个维度都通过EP对酒店竞争力产生了巨大的间接影响。结论该研究建立了一个完整的模型,将 GSCM 的要素、EP 和酒店竞争力融为一体。该研究为酒店经营者和学术界提供了诸多启示。
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引用次数: 0
Comprehensive Review of Robotized Freight Packing 机器人货运包装的全面回顾
Pub Date : 2024-07-08 DOI: 10.3390/logistics8030069
German Pantoja-Benavides, Daniel Giraldo, A. Montes, Andrea García, Carlos Rodríguez, César Marín, David Álvarez-Martínez
Background: This review addresses the emerging field of automated packing cells, which lies at the intersection of robotics and packing problems. Integrating these two fields is critical for optimizing logistics and e-commerce operations. The current literature focuses on packing problems or specific robotic applications without addressing their integration. Methods: To bridge this gap, we conducted a comprehensive review of 46 relevant studies, analyzing various dimensions, including the components of robotic packing cells, the types of packing problems, the solution approaches, and performance comparisons. Results: Our review reveals a significant trend towards addressing online packing problems, which reflects the dynamic nature of logistics operations where item information is often incomplete. We also identify several research gaps, such as the need for standardized terminologies, comprehensive methodologies, and the consideration of real-world constraints in robotic algorithms. Conclusions: This review uniquely integrates insights from robotics and packing problems, providing a structured framework for future research. It highlights the importance of considering practical robotic constraints. It proposes a research structure that enhances the reproducibility and comparability of results in real-world scenarios. By doing so, we aim to guide future research efforts and facilitate the development of more robust and practical automated packing systems.
背景:本综述探讨的是自动包装单元这一新兴领域,它是机器人技术和包装问题的交叉点。整合这两个领域对于优化物流和电子商务运营至关重要。目前的文献主要关注包装问题或特定的机器人应用,而没有涉及两者的整合。方法:为了弥补这一差距,我们对 46 项相关研究进行了全面回顾,分析了机器人包装单元的组件、包装问题类型、解决方法和性能比较等多个方面。研究结果我们的综述揭示了解决在线包装问题的重要趋势,这反映了物流操作的动态性质,即物品信息往往是不完整的。我们还发现了一些研究空白,例如需要标准化术语、综合方法以及在机器人算法中考虑现实世界的限制因素。结论:本综述独特地整合了机器人学和包装问题的见解,为未来研究提供了一个结构化框架。它强调了考虑实际机器人约束条件的重要性。它提出了一种研究结构,可增强现实世界场景中结果的可重复性和可比性。通过这样做,我们旨在指导未来的研究工作,促进开发更强大、更实用的自动包装系统。
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引用次数: 0
Towards Green Transportation Practices Using a Buyer/Supplier Perspective: A Systematic Literature Review 从买方/供应商角度看绿色运输实践:系统性文献综述
Pub Date : 2024-07-05 DOI: 10.3390/logistics8030068
G. Bilek, Richard Calvi, Daniel Erhel, Youcef Mechouar
Background: The role of individual supply chain actors in carbon emissions reduction (CER) is well-documented. However, it is critical to identify the conditions required to develop a systemic approach for encouraging these actors to share their visions and align their environmental strategy for CER. This study aims to identify the determinants (motivations, pressures, and incentives) and modalities (practices conducting greening transportation from shippers and logistics service providers (LSP) point of view) necessary for a better environmental alignment between actors for a CER initiative. Methods: We base our argument on a systemic literature review that points out 28 articles written in the period between 2010 and 2023 and fully aligned with the scope of our analysis. Results: The originality of our approach is that we focus on the interplay between shippers and LSPs to better understand the dynamics of green transportation practices. Conclusions: This paper invites researchers to adopt a dyadic approach to the phenomenon in order to better understand how the CER willingness is effectively diffused in the business interactions of shippers and LSP.
背景:单个供应链参与者在碳减排(CER)中的作用已得到充分证明。然而,关键是要确定制定系统方法所需的条件,以鼓励这些参与者分享他们的愿景并调整他们的环境战略,从而实现碳减排。本研究旨在确定决定因素(动机、压力和激励)和模式(从托运人和物流服务提供商(LSP)的角度开展绿色运输的实践),这些因素和模式是各参与方更好地为 CER 计划进行环境协调所必需的。方法:我们以系统的文献综述为基础,指出了 2010 年至 2023 年期间撰写的 28 篇文章,这些文章与我们的分析范围完全一致。结果:我们方法的独创性在于,我们关注托运人和物流服务商之间的相互作用,以更好地理解绿色运输实践的动态。结论:本文鼓励研究人员采用二元方法来研究这一现象,以便更好地理解 CER 意愿如何在托运人和 LSP 的业务互动中有效扩散。
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引用次数: 0
Lean and Agile Supply Strategies in Distribution Centres to Deliver Value-Added Services (VAS) 配送中心的精益和敏捷供应战略,以提供增值服务 (VAS)
Pub Date : 2024-07-03 DOI: 10.3390/logistics8030067
Eduard Klundt, Neil Towers, Kamal Bechkoum
Background: This paper examines how logistics mangers increase performance by incorporating VAS in their distribution centres in the context of different natures of customer demand. The study is underpinned by the principles of lean and agile strategies as two key concepts that can be applied to respond to different customer expectations. Methods: Based on the phenomenological interpretivist paradigm, an empirical multiple-case study was conducted in German distribution centres operated by six companies. The empirical data were collected through semi-structured interviews, built on the triangulation of sources. Open, axial, and selective coding were employed to analyse data collected through eighteen in-depth interviews with managers from the distribution centres. Results: The findings indicated that the construct of customer demand forms different benefits that the logistics service providers can achieve through VAS. Simultaneously, various customer demands on VAS requires the distribution centres to focus on developing different operational capabilities to gain superior performance. Conclusions: Based on the research findings, a conceptual model was created. This model can support logistics service providers in improving company performance through effectively managing VAS in their distribution centres. The high dynamic VAS customer demand can bring more financial and non-financial benefits but needs higher flexibility in the warehouse operation system. Stable and predictable VAS, in turn, require a higher degree of standardisation.
背景:本文探讨了在不同性质的客户需求背景下,物流管理者如何通过将增值服务纳入其配送中心来提高绩效。研究以精益和敏捷战略原则为基础,这两个关键概念可用于应对不同的客户期望。研究方法:基于现象学解释范式,在六家公司运营的德国配送中心开展了多案例实证研究。实证数据是通过半结构式访谈收集的,建立在对各种来源进行三角测量的基础上。研究采用了开放式编码、轴向编码和选择性编码等方法,对通过与配送中心管理人员进行的 18 次深入访谈收集到的数据进行分析。结果研究结果表明,客户需求构成了物流服务提供商通过增值服务可以实现的不同利益。同时,客户对增值服务的各种需求要求配送中心重点发展不同的运营能力,以获得卓越绩效。结论:根据研究结果,创建了一个概念模型。该模型可支持物流服务供应商通过有效管理配送中心的增值服务来提高公司业绩。客户对增值服务的高动态需求可以带来更多的财务和非财务收益,但需要仓库操作系统具有更高的灵活性。而稳定和可预测的增值服务则需要更高的标准化程度。
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引用次数: 0
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