Relevant bibliographies by topics / Hybrid Inbounded

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  4. Conference papers

Academic literature on the topic 'Hybrid Inbounded'

Author: Grafiati
Published: 3 June 2025
Last updated: 20 July 2025

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Journal articles on the topic "Hybrid Inbounded"

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Shaju, Varughese. "Facility Location in Logistic Network Design Using Soft Computing Opimization Models." International Journal of Computer Science & Information Technology (IJCSIT) 9, no. 5 (2017): 51–65. https://doi.org/10.5281/zenodo.1212368.

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Discovery of the optimal best possibility of location for facilities is the central problem associated in logistics management. The optimal places for the distribution centres (DCs) can be based on the selected attributes that are crucial to locate the best possible locations to increase the speed of the facility service and thus reduce the overall transport cost and time and to provide best service. The major task is to identifying and locating the required number of DCs and its optimum locations are considered as the important goals for the design of any logistics network. The number of DCs will clearly depends upon many factors like population, capacity of the facility, type of facility etc. but locating the optimum locations of DCs will reduce the overall cost. But, for solving such a wide problem space, the powerful tools are the soft computing based approaches and that are well suited and find a meaningful solution in finite time. In this work, we are going to find the optimum locations of DCs for logistics using various soft computing methods.
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Stevens, Ton, and G. K. Fibbe. "Taxation of Hybrid Entities under the Parent-Subsidiary Directive: The Example of the Netherlands." EC Tax Review 20, Issue 5 (2011): 242–54. http://dx.doi.org/10.54648/ecta2011028.

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In this article, the application of the Parent-Subsidiary Directive in respect of hybrid entities is analysed by Prof. Ton Stevens and Dr Gijs Fibbe. A distinction is made between outbound and inbound situations. In outbound situations, Member States can differ of opinion on which is the profit-generating entity: the parent company or its hybrid subsidiary. In inbound situations, where a dividend is paid to a hybrid entity, Member States can differ of opinion about the question to whom the dividend is paid: the hybrid entity or its participants. The authors describe the explicit solution in outbound situations included in Article 4, paragraph 1a, of the Parent-Subsidiary Directive. For inbound situations, such explicit provision addressing hybrid entities is missing. The authors describe how according to them the Parent-Subsidiary Directive should be applied in respect of hybrid entities in inbound situations. After a thorough analysis, they describe why in their view Member States are, for purposes of the Parent-Subsidiary Directive, no longer autonomous in the tax classification and income allocation in respect of hybrid entities established in other Member States in inbound situations.
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SENIHJI, Khadija, and Salma IHOULINE. "L'inbound Marketing Au Cœur De La Strategie Digitale De L'entreprise." International Journal Of Applied Management And Economics Vol 02, N°06 (2024): 001–20. https://doi.org/10.5281/zenodo.10551488.

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<strong>R&eacute;sum&eacute;: </strong> L&rsquo;inbound Marketing a vu le jour avec l&rsquo;apparition du digital. Cette technique constitue le fruit de la transformation digitale qui a touch&eacute; d&eacute;sormais toute la d&eacute;marche marketing. Appel&eacute; aussi &laquo; strat&eacute;gie pull &raquo;, l&rsquo;inbound est distingu&eacute; de l&rsquo;outbound par une logique non intrusive visant &agrave; cr&eacute;er de la valeur et assurer une meilleure personnalisation du contenu. En d&eacute;pit de la transformation digital ayant boulevers&eacute; la discipline marketing, au Maroc, on adopte encore une m&eacute;thode hybride (inbound et outbound &agrave; la fois). Autrement dit : l&rsquo;outbond ou Marketing sortant est toujours pratiqu&eacute; par les entreprises, cependant l&rsquo;Inbound d&eacute;tient aujourd&rsquo;hui une place l&eacute;gitime sur le march&eacute;. Les statistiques montrent que plus que la moiti&eacute; de la population marocaine est active sur les r&eacute;seaux sociaux (58%) et utilise internet selon le rapport de la banque mondiale. Ces chiffres montrent l&rsquo;impact et l&rsquo;importance de l&rsquo;inbound comme strat&eacute;gie marketing &agrave; l&rsquo;&egrave;re du num&eacute;rique. L&rsquo;objectif de notre article est de pr&eacute;senter les fondamentaux th&eacute;oriques de l&rsquo;Inbound Marketing (dimensions, composantes, inbound vs outbound), ainsi d&rsquo;exposer les diff&eacute;rentes &eacute;tapes d&rsquo;une strat&eacute;gie d&rsquo;Inbound et enfin de montrer l&rsquo;importance de cette strat&eacute;gie pour approcher les consommateurs et pour am&eacute;liorer la performance des entreprises. <strong>Mots </strong><strong>Cl&eacute;s</strong><strong>: Inbound Marketing, Outbound Marketing, Marketing Digital.</strong> &nbsp; <strong>Abstract&nbsp;:</strong> Inbound marketing came into being with the advent of digital technology. This technique is the fruit of the digital transformation that has now affected the entire marketing process. Also known as "pull strategy", inbound is distinguished from outbound by a non-intrusive logic aimed at creating value and ensuring better personalization of content. Despite the digital transformation that has shaken up the marketing discipline, in Morocco we still adopt a hybrid method (inbound and outbound at the same time). In other words, outbound marketing is still practiced by companies, but inbound marketing has now taken its rightful place in the market. Statistics show that more than half the Moroccan population is active on social networks (58%) and uses the Internet, according to a World Bank report. These figures show the impact and importance of inbound as a marketing strategy in the digital age. The aim of our article is to present the theoretical fundamentals of inbound marketing (dimensions, components, inbound vs. outbound), to outline the different stages of an inbound strategy and finally to show the importance of this strategy for approaching consumers and improving business performance. <strong>Keywords: Inbound Marketing, Outbound Marketing, Digital Marketing.</strong>
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Dullaert, W., B. Vernimmen, B. Raa, and F. Witlox. "A Hybrid Approach to Designing Inbound-Resupply Strategies." IEEE Intelligent Systems 20, no. 4 (2005): 31–35. http://dx.doi.org/10.1109/mis.2005.60.

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K.T., Ramesh, Sarada P. Sarmah, and Pradeep Kumar Tarei. "An integrated framework for the assessment of inbound supply risk and prioritization of the risk drivers." Benchmarking: An International Journal 27, no. 3 (2019): 1261–86. http://dx.doi.org/10.1108/bij-03-2019-0119.

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Purpose The purpose of this paper is to present a framework for identifying various inbound supply-risk factors and analyzing its indicators considering the contextual relationship between them. This study additionally proposes a framework for developing an overall inbound supply-risk score considering a real-life case of the electronics supply chain (ESC) in the Indian context. Design/methodology/approach In total, 32 risk indicators are identified by a systematic literature review approach and are validated by supply chain practitioners/experts and further categorized into six main risk factors. A hybrid multi-criteria decision-making-based DANP (DEMATEL and ANP) framework is employed to develop the overall inbound-supply-risk score (ISRS) and to prioritize the risk indicators. Indian ESC is chosen as a viable case study to demonstrate the effectiveness of the proposed framework. Findings The outcomes from the study reveal that the overall ISRS in the ESC is 36 percent and additionally forewarns critical inbound-supply-risk factors such as supplier performance, product, and buyer organization. Further, the study also identifies the most significant risk indicators such as price margin, investment, on-time delivery, order fulfillment and design changes for ESC. Research limitations/implications Supply chain practitioners can adopt this framework as a useful inbound supply-risk assessment tool. Moreover, the hybrid framework will address subjectivity and interrelations among various factors through experts’ judgments. The results will assist the managers to have better insights on the critical risk factors and their complicated interrelationships and further strategize action plans to nullify the impact of incoming risks. This study mainly focused on risk identification and assessment of electronics inbound-supply-risk indicators in the Indian context. The framework can be used for other manufacturing and service industries, albeit the results derived are in the context of a developing country. Originality/value This paper provides an effective risk assessment framework for the supply chain practitioners/managers to develop a decision-support system for inbound-supply-risk quantification and prioritization of risk factors in the context of the ESC.
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Yu, Wooyeon, Chunghun Ha, and SeJoon Park. "A Hybrid Genetic Algorithm for Integrated Truck Scheduling and Product Routing on the Cross-Docking System with Multiple Receiving and Shipping Docks." Mathematical Problems in Engineering 2021 (March 17, 2021): 1–17. http://dx.doi.org/10.1155/2021/2026834.

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In this research, a truck scheduling problem for a cross-docking system with multiple receiving and shipping docks is studied. Until recently, single-dock cross-docking problems are studied mostly. This research is focused on the multiple-dock problems. The objective of the problem is to determine the best docking sequences of inbound and outbound trucks to the receiving and shipping docks, respectively, which minimize the maximal completion time. We propose a new hybrid genetic algorithm to solve this problem. This genetic algorithm improves the solution quality through the population scheme of the nested structure and the new product routing heuristic. To avoid unnecessary infeasible solutions, a linked-chromosome representation is used to link the inbound and outbound truck sequences, and locus-pairing crossovers and mutations for this representation are proposed. As a result of the evaluation of the benchmark problems, it shows that the proposed hybrid GA provides a superior solution compared to the existing heuristics.
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Zhang, Hao, Jie He, Jie Bao, Qiong Hong, and Xiaomeng Shi. "A Hybrid Spatiotemporal Deep Learning Model for Short-Term Metro Passenger Flow Prediction." Journal of Advanced Transportation 2020 (May 30, 2020): 1–12. http://dx.doi.org/10.1155/2020/4656435.

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The primary objective of this study is to predict the short-term metro passenger flow using the proposed hybrid spatiotemporal deep learning neural network (HSTDL-net). The metro passenger flow data is collected from line 2 of Nanjing metro system to illustrate the study procedure. A hybrid spatiotemporal deep learning model is developed to predict both inbound and outbound passenger flows for every 10 minutes. The results suggest that the proposed HSTDL-net achieves better prediction performance on suburban stations than on urban stations, as well as generating the best prediction accuracy on transfer stations in terms of the lowest MAPE value. Moreover, a comparative analysis is conducted to compare the performance of proposed HSTDL-net with other typical methods, such as ARIMA, MLP, CNN, LSTM, and GBRT. The results indicate that, for both inbound and outbound passenger flow predictions, the HSTDL-net outperforms all the compared models on three types of stations. The results suggest that the proposed hybrid spatiotemporal deep learning neural network can more effectively and fully discover both spatial and temporal hidden correlations between stations for short-term metro passenger flow prediction. The results of this study could provide insightful suggestions for metro system authorities to adjust the operation plans and enhance the service quality of the entire metro system.
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Wu, Gen-Han, Yi-Ting Chen, and Ke-Hsuan Chen. "Hybrid Algorithms for Inbound and Outbound Truck Scheduling in Cross-Docking Systems." Applied Sciences 12, no. 21 (2022): 10931. http://dx.doi.org/10.3390/app122110931.

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A cross-docking system is a kind of facility design for the purpose of enhancing the time efficiency of a distribution center. In this study, we attempt to consider a cross-docking system without temporary storage and obtain great system performance by addressing the scheduling problem of inbound and outbound trucks, in which the total operation time of trucks is minimized. In order to reduce computational efforts, three hybrid metaheuristic approaches based on particle swarm optimization, simulated annealing, and a variable neighborhood search are proposed. By the computational experiments, the three optimized approaches are analyzed and compared with each other. The experimental results show that all of these three approaches can obtain pretty good solutions, even in the large-scale examples. Moreover, one of these approaches—a hybrid metaheuristic with particle swarm optimization and a variable neighborhood search—can usually obtain the best solutions.
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Venkata, Raman Immidisetti. "Enhancing Hybrid Cloud DNS Resolution with Azure Private DNS Resolver: Architecture, Benefits, and Implementation Strategies." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 12, no. 2 (2024): 1–7. https://doi.org/10.5281/zenodo.14951067.

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The Azure Private DNS Resolver is a managed service for DNS resolution in hybrid cloud environments, eliminating the need for conventional DNS forwarder VMs. In hybrid architectures, seamless name resolution between on-premises infrastructure and Azure is crucial for connectivity, security, and operational efficiency. Historically, organizations used DNS forwarders within Azure VNets to relay DNS queries, adding complexity, latency, and administrative overhead. The Azure Private DNS Resolver solves these issues by providing bidirectional DNS query resolution through inbound and outbound endpoints, enabling on-premises resources to resolve Azure private DNS zones and vice versa. This paper examines the architecture, advantages, and deployment considerations of Azure Private DNS Resolver, highlighting its role in simplifying hybrid DNS management, reducing operational costs, and enhancing security. Additionally, the paper explores best practices for deploying the resolver in hub-spoke network topologies, ensuring efficient, scalable, and secure DNS resolution across hybrid environments
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V., M. Pakhomovа. "NETWORK TRAFFIC FORCASTING IN INFORMATION-TELECOMMUNICATION SYSTEM OF PRYDNIPROVSK RAILWAYS BASED ON NEURO-FUZZY NETWORK." Science and Transport Progress. Bulletin of Dnipropetrovsk National University of Railway Transport, no. 6(66) (December 25, 2016): 105–14. https://doi.org/10.15802/stp2016/90485.

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<strong>Purpose</strong><strong>.&nbsp;</strong>Continuous increase in network traffic in the information-telecommunication system (ITS) of Prydniprovsk Railways leads to the need to determine the real-time network congestion and to control the data flows. One of the possible solutions is a method of forecasting the volume of network traffic (inbound and outbound) using neural network technology that will prevent from server overload and improve the quality of services.&nbsp;<strong>Methodology.</strong>&nbsp;Analysis of current network traffic in ITS of Prydniprovsk Railways and preparation of sets: learning, test and validation ones was conducted as well as creation of neuro-fuzzy network (hybrid system) in Matlab program and organization of the following phases on the appropriate sets: learning, testing, forecast adequacy analysis.<strong>&nbsp;Findings.</strong>&nbsp;For the fragment (Dnipropetrovsk &ndash; Kyiv) in ITS of Prydniprovsk Railways we made a forecast (day ahead) for volume of network traffic based on the hybrid system created in Matlab program; MAPE values are as follows: 6.9% for volume of inbound traffic; 7.7% for volume of outbound traffic. It was found that the average learning error of the hybrid system decreases in case of increase in: the number of inputs (from 2 to 4); the number of terms (from 2 to 5) of the input variable; learning sample power (from 20 to 100). A significant impact on the average learning error of the hybrid system is caused by the number of terms of its input variable. It was<strong>&nbsp;</strong>determined that the lowest value of the average learning error is provided by 4-input hybrid system, it ensures more accurate learning of the neuro-fuzzy network by the hybrid method.&nbsp;<strong>Originality.&nbsp;</strong>The work resulted in the dependences for the average hybrid system error of the network traffic volume forecasting for the fragment (Dnipropetrovsk-Kyiv) in ITS Prydniprovsk Railways on: the number of its inputs, the number of input variable terms, the learning sample power for different learning methods.&nbsp;<strong>Practical value</strong>. Forecasting of network traffic volume in ITS of Prydniprovsk Railways will allow for real-time identification of the network congestion and control of data flows.
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Dissertations / Theses on the topic "Hybrid Inbounded"

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Karton, Clara. "The Effect of Inbound Mass on the Dynamic Response of the Hybrid III Headform and Brain Tissue Deformation." Thesis, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/23576.

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The varied impact parameters that characterize an impact to the head have shown to influence the resulting type and severity of outcome injury, both in terms of the dynamic response, and the corresponding deformation of neural tissue. Therefore, when determining head injury risks through event reconstruction, it is important to understand how individual impact characteristics influence these responses. The effect of inbound mass had not yet been documented in the literature. The purpose of this study was to determine the effects of inbound mass on the dynamic impact response and brain tissue deformation. A 50th percentile Hybrid III adult male head form was impacted using a simple pendulum system. Impacts to a centric and a non-centric impact location were performed with six varied inbound masses at a velocity of 4.0 m/s. The peak linear and peak angular accelerations were measured. A finite element model, (UCDBTM) was used to determine brain deformation, namely peak maximum principal strain and peak von Mises stress. Inbound mass produced significant differences for peak linear acceleration for centric (F(5, 24) = 217.55, p=.0005) and non-centric (F(5, 24) = 161.98, p=.0005), and for peak angular acceleration for centric (F(5, 24) = 52.51, p=.0005) and non-centric (F(5, 24) = 4.18, p=.007) impact locations. A change in inbound mass also had a significant effect on peak maximum principal strain for centric (F(5, 24) = 11.04, p=.0005) and non-centric (F(5, 24) = 5.87, p =.001), and for peak von Mises stress for centric (F(5, 24) = 24.01, p=.0005) and non-centric (F(5, 24) = 4.62, p=.004) impact locations. These results indicate the inbound mass of an impact should be of consideration when determining risks and prevention to head and brain injury.
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Coulson, Natalie R. "The Influence of Impact Mass, Inbound Velocity and System Compliance on the Dynamic Response of a Hybrid III Head Form." Thesis, University of Ottawa (Canada), 2011. http://hdl.handle.net/10393/28886.

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Sport helmet certification standards solely prescribe the use of vertical drop towers in their protocols; a mechanism which mimics the head impacting the ground. Athletes are more commonly injured via collisions with other players; however, and the current certification standards do not incorporate this mechanism of injury in their test methodologies. At the most basic level, these two injury mechanisms can be differentiated by impact mass. The purpose of this study was to determine the effect of impact mass on the dynamic response of a Hybrid III head form. This was carried out by impacting the front location of the un-helmeted head form over a range of inbound velocities (2.0 m/s, 3.0 m/s and 4.0 m/s) and system compliances (rigid neck, compliant neck and unrestrained head and neck) on two different test systems represented by impact mass (monorail vertical drop tower and horizontal linear impactor) to more completely characterize the relationship. Significant main effects and interactions were observed for impact mass, inbound velocity and system compliance on peak resultant translational acceleration and peak resultant rotational acceleration (p&lt;0.05). Impacts on the monorail vertical drop tower (greater impact mass), resulted in higher acceleration values than the same impacts on the horizontal linear impactor, implying that the monorail generates more severe impacts. The greatest accelerations were also seen at the higher velocities, indicating that athletes impacted at higher velocities are at greater risk of suffering mild traumatic brain injury (mTBI). The relationship was non-linear for system compliance: the least compliant system generated the lowest translational accelerations, followed by the most compliant system, and ending with the intermediate level of system compliance. Rotational acceleration increased with increasing system compliance.
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Book chapters on the topic "Hybrid Inbounded"

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Ye, Lisha, Jianfeng Zhou, Zhe Yin, Kunpeng Han, Haoyuan Hu, and Dongjin Song. "A Novel Hybrid Graph Learning Method for Inbound Parcel Volume Forecasting in Logistics System." In Proceedings of the 2024 SIAM International Conference on Data Mining (SDM). Society for Industrial and Applied Mathematics, 2024. http://dx.doi.org/10.1137/1.9781611978032.40.

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Bhardwaj, Akashdeep, and Sam Goundar. "Algorithm for Secure Hybrid Cloud Design Against DDoS Attacks." In Cyber Warfare and Terrorism. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2466-4.ch020.

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This article describes how cloud computing has become a significant IT infrastructure in business, government, education, research, and service industry domains. Security of cloud-based applications, especially for those applications with constant inbound and outbound user traffic is important. It becomes of the utmost importance to secure the data flowing between the cloud application and user systems against cyber criminals who launch Denial of Service (DoS) attacks. Existing research related to cloud security focuses on securing the flow of information on servers or between networks but there is a lack of research to mitigate Distributed Denial of Service attacks on cloud environments as presented by Buyya et al. and Fachkha, et al. In this article, the authors propose an algorithm and a Hybrid Cloud-based Secure Architecture to mitigate DDoS attacks. By proposing a three-tier cloud infrastructure with a two-tier defense system for separate Network and Application layers, the authors show that DDoS attacks can be detected and blocked before reaching the infrastructure hosting the Cloud applications.
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Conference papers on the topic "Hybrid Inbounded"

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Mittal, Anuj, and Caroline C. Krejci. "A hybrid simulation model of inbound logistics operations in regional food supply systems." In 2015 Winter Simulation Conference (WSC). IEEE, 2015. http://dx.doi.org/10.1109/wsc.2015.7408276.

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Miao, Zhaowei, Ruize Su, and Jie Zhang. "A hybrid genetic algorithm for scheduling of inbound and outbound trucks in multi-door crossdocking operations." In International Conference on Simulation and Modeling Methodologies, Technologies and Applications. WIT Press, 2014. http://dx.doi.org/10.2495/smta141172.

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Remmmelts, Joost R., and Alexander Hübl. "Hybrid Model with Discrete-Event Simulation and Repeated Machine Learning Prediction-Based Quality Inspection of Inbound Distribution Center Deliveries." In 2023 Winter Simulation Conference (WSC). IEEE, 2023. http://dx.doi.org/10.1109/wsc60868.2023.10408476.

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DC. Abutar, Aaron James, Alyssa Justine D. Avanzado, Ral-jean L. Bongga, Derick Deo D. Pedenes, Maria Isabel R. Samson, and Carlos Ignacio P. Lugay. "Analysis of the Mental Workload of Inbound Voice Contact Center Agents under the Hybrid Work Setup in the Philippines." In 6th African International Conference on Industrial Engineering and Operations Management. IEOM Society International, 2025. https://doi.org/10.46254/af6.20250106.

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