Gotowe bibliografie tematyczne / Logistics Clustering

Spis treści

  1. Artykuły w czasopismach
  2. Rozprawy doktorskie
  3. Książki
  4. Części książek
  5. Streszczenia konferencji

Gotowa bibliografia na temat „Logistics Clustering”

Autor: Grafiati
Data publikacji: 2 czerwca 2025
Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Logistics Clustering"

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Rivera, Liliana, David Gligor, and Yossi Sheffi. "The benefits of logistics clustering." International Journal of Physical Distribution & Logistics Management 46, no. 3 (2016): 242–68. http://dx.doi.org/10.1108/ijpdlm-10-2014-0243.

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Purpose – The purpose of this paper is to analyze the benefits of logistics clustering, with the intent to explain their growth and popularity among private agents and policy makers during the last decade. Design/methodology/approach – Because of limited knowledge about the benefits of logistics clustering a main objective of this paper is theory building. The authors employed a grounded theory approach and conducted 135 open and semi structured interviews with logistics executives, government officials, academics, and chambers of commerce representatives. Findings – Study results revealed tha
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Tri Kismanti, Sinta, and Andi Ard Maidah. "Penentuan Kelompok Jaringan Logistik pada Wilayah Kepulauan menggunakan Fuzzy C-Means." Borneo Engineering : Jurnal Teknik Sipil 2, no. 2 (2018): 76. http://dx.doi.org/10.35334/be.v2i2.615.

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Indonesia as the island nation with territorial waters is one of the modes of transportation. For this condition, most of activities are conducted in marine, such as logistics distribution. The movement of logistics distribution will result in a movement pattern of the logistic. Determination of the optimal pattern of logistics movement network can support the smooth distribution system. Determination of logistic network patterns is done by clustering using Fuzzy C-means, clustering aims to get island groups in adjacent locations. The clustering process using Fuzzy C-Means obtained that the nu
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Mesa-Arango, Rodrigo, and Satish V. Ukkusuri. "Demand clustering in freight logistics networks." Transportation Research Part E: Logistics and Transportation Review 81 (September 2015): 36–51. http://dx.doi.org/10.1016/j.tre.2015.06.002.

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Yang, Pengbo. "Intelligent Analysis of Logistics Information Based on Dynamic Network Data." Journal of Control Science and Engineering 2022 (July 5, 2022): 1–9. http://dx.doi.org/10.1155/2022/7967040.

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In order to realize the intellectualization of logistics information analysis, this paper proposes an intelligent analysis method of logistics information based on dynamic network data cloud mining. This paper selects the data of a shipping logistics platform to realize the intelligent analysis experiment of logistics information based on cloud clustering mining. The purpose of the experiment is to find out the advantages of logistics information intelligent analysis based on cloud mining by comparing the performance differences between cloud clustering mining and traditional clustering mining
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Zhang, B. S., Z. Q. Xiang, H. Zhang, and R. Liu. "Trajectory Clustering Of Segmented Field Operations Logistics Process." Journal of Physics: Conference Series 2029, no. 1 (2021): 012120. http://dx.doi.org/10.1088/1742-6596/2029/1/012120.

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Abstract It has become a new research direction to use process mining technology to mine and analyze all kinds of data generated during shipbuilding. The classification of hull segments into different clusters according to some properties in advance can make the excavation results more specific. In this paper, the process examples in ship construction are divided into different clusters based on the cohesive hierarchical clustering algorithm. Firstly, this paper introduces the advantages and disadvantages of several main clustering algorithms, selects the clustering algorithm most suitable for
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Zhong, Jianying, Jibin Zhu, Yonghao Guo, Yunxin Chang, and Chaofeng Zhu. "A Customer Clustering Algorithm for Power Logistics Distribution Network Structure and Distribution Volume Constraints." International Journal of Circuits, Systems and Signal Processing 15 (August 25, 2021): 1051–56. http://dx.doi.org/10.46300/9106.2021.15.113.

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Customer clustering technology for distribution process is widely used in location selection, distribution route optimization and vehicle scheduling optimization of power logistics distribution center. Aiming at the problem of customer clustering with unknown distribution center location, this paper proposes a clustering algorithm considering distribution network structure and distribution volume constraint, which makes up for the defect that the classical Euclidean distance does not consider the distribution road information. This paper proposes a logistics distribution customer clustering al
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Wang, Shenxiang. "The Development Trend of China’s Agricultural Product Cold Chain Logistics from the Perspective of Big Data." Advances in Multimedia 2022 (November 17, 2022): 1–13. http://dx.doi.org/10.1155/2022/2253448.

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With the gradual prosperity of social economy, people’s demand for agricultural products consumption has also gradually increased. Through the efficient introduction of big data technology, we can optimize and innovate the management system of agricultural cold chain logistics enterprises, realize the modernization of enterprise logistics management, and effectively improve the management efficiency of agricultural cold chain logistics enterprises. Using big data technology can improve the efficiency of information docking, improve the stickiness of enterprise customers, and speed up the value
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Trappey, Charles V., Amy J. C. Trappey, Ai‐Che Chang, and Ashley Y. L. Huang. "Clustering analysis prioritization of automobile logistics services." Industrial Management & Data Systems 110, no. 5 (2010): 731–43. http://dx.doi.org/10.1108/02635571011044759.

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Mahesh Prabhu, R., G. Hema, Srilatha Chepure, and M. Nageswara Guptha. "Logistics Optimization in Supply Chain Management using Clustering Algorithms." Scalable Computing: Practice and Experience 21, no. 1 (2020): 107–14. http://dx.doi.org/10.12694/scpe.v21i1.1628.

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Today’s business environment, survival and making profit in market are the prime requirement for any enterprise due to competitive environment. Innovation and staying updated are commonly identified two key parameters for achieving success and profit in business. Considerably supply chain management is also accountable for profit. As a measure to maximize the profit, supply chain process is to be streamlined and optimized. Appropriate grouping of various suppliers for the benefit of shipment cost reduction is proposed. Data relating to appropriate attributes of supplier logistics are collected
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Grytsenko, Sergiy, and Veronika Ninich. "Clustering of logistics supply chains in the process of Ukraine's eurointegration." Electronic Scientific Journal Intellectualization of Logistics and Supply Chain Management #1 2020 1, no. 20 (2023): 46–57. http://dx.doi.org/10.46783/smart-scm/2023-20-5.

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This article delves into the concept of clusters within the nation's economy, the role of logistics management in effective cluster operation, and avenues for its enhancement. The research focuses on the socio-economic processes that facilitate the clustering of logistics supply chains for the company "PAPIR SERVICE SK" - one of Ukraine's largest companies involved in the procurement and distribution of paper and cardboard in rolls. The subject of investigation encompasses a comprehensive range of scientific, methodological, and practical aspects related to the establishment of a mechanism for
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Rozprawy doktorskie na temat "Logistics Clustering"

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Tejaswi, Nunna. "Performance Analysis on Hybrid and ExactMethods for Solving Clustered VRP : A Comparative Study on VRP Algorithms." Thesis, Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-14112.

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Context: The Vehicle Routing Problem is an NP-hard problem with a combination of varieties oftopics like logistics, optimization research and data mining. There is a vast need of vehicle routingsolutions in day to day like with different constraints. According to the requirements, this problem hasbeen a field of interest to a lot of researchers who incorporate scientific methods to combine andinnovate new solutions to optimize the routing. Being an np-hard problem, it is almost impossible tocompute the solutions to optimality but years of research on this area has paid off quite significantlya
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Alshaer, Mohammad. "An Efficient Framework for Processing and Analyzing Unstructured Text to Discover Delivery Delay and Optimization of Route Planning in Realtime." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSE1105/document.

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L'Internet des objets, ou IdO (en anglais Internet of Things, ou IoT) conduit à un changement de paradigme du secteur de la logistique. L'avènement de l'IoT a modifié l'écosystème de la gestion des services logistiques. Les fournisseurs de services logistiques utilisent aujourd'hui des technologies de capteurs telles que le GPS ou la télémétrie pour collecter des données en temps réel pendant la livraison. La collecte en temps réel des données permet aux fournisseurs de services de suivre et de gérer efficacement leur processus d'expédition. Le principal avantage de la collecte de données en t
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Ayanoglu, Cemal Can. "A Location Routing Problem For The Municipal Solid Waste Management System." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/2/12608230/index.pdf.

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This study deals with a municipal solid waste management system in which the strategic and tactical decisions are addressed simultaneously. In the system, the number and locations of the transfer facilities which serve to the particular solid waste pick-up points and the landfill are determined. Additionally, routing plans are constructed for the vehicles which collect the solid waste from the pick-up points by regarding the load capacity of the vehicles and shift time restrictions. We formulate this reverse logistics system as a location-routing problem with two facility layers. Mathematical
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Cebecauer, Matej. "Short-Term Traffic Prediction in Large-Scale Urban Networks." Licentiate thesis, KTH, Transportplanering, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-250650.

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City-wide travel time prediction in real-time is an important enabler for efficient use of the road network. It can be used in traveler information to enable more efficient routing of individual vehicles as well as decision support for traffic management applications such as directed information campaigns or incident management. 3D speed maps have been shown to be a promising methodology for revealing day-to-day regularities of city-level travel times and possibly also for short-term prediction. In this paper, we aim to further evaluate and benchmark the use of 3D speed maps for short-term tra
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Takebayashi, Fabiana. "Um modelo de localização-roteirização de instalações de transferência para distribuição de carga urbana baseado no método de cluster-first route-second." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/3/3148/tde-16112015-113249/.

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O trabalho apresenta o desenvolvimento e a aplicação de um modelo de localização de centros intermediários de consolidação e redistribuição de cargas em um ambiente urbano brasileiro. O método integra o TransCAD e o OpenSolver e é aplicado à cidade de Curitiba, uma das dez mais populosas do Brasil. O método proposto é caracterizado como um modelo de localização-roteirização baseado em agrupamento e subsequente roteirização, identificado na literatura por cluster-first routesecond; a adoção deste ordenamento permite tratar o problema para o atendimento de muitos estabelecimentos, como os até 65
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Castellani, Marta. "Gestione operativa della logistica distributiva mediante tecniche di clustering e vehicle routing: la piattaforma software LOG-OPTIMIZER." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2010. http://amslaurea.unibo.it/1008/.

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Granov, Anida. "Customer loyalty, return and churn prediction through machine learning methods : for a Swedish fashion and e-commerce company." Thesis, Umeå universitet, Institutionen för matematik och matematisk statistik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-184709.

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The analysis of gaining, retaining and maintaining customer trust is a highly topical issue in the e-commerce industry to mitigate the challenges of increased competition and volatile customer relationships as an effect of the increasing use of the internet to purchase goods. This study is conducted at the Swedish online fashion retailer NA-KD with the aim of gaining better insight into customer behavior that determines purchases, returns and churn. Therefore, the objectives for this study are to identify the group of loyal customers as well as construct models to predict customer loyalty, fre
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Faraj, Dina. "Using Machine Learning for Predictive Maintenance in Modern Ground-Based Radar Systems." Thesis, KTH, Matematisk statistik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-299634.

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Military systems are often part of critical operations where unplanned downtime should be avoided at all costs. Using modern machine learning algorithms it could be possible to predict when, where, and at what time a fault is likely to occur which enables time for ordering replacement parts and scheduling maintenance. This thesis is a proof of concept study for anomaly detection in monitoring data, i.e., sensor data from a ground based radar system as an initial experiment to showcase predictive maintenance. The data in this thesis was generated by a Giraffe 4A during normal operation, i.e., n
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Raschke, Falk Werner. "Regionale Wettbewerbsvorteile : Identifikation, Analyse und Management von Clustern am Beispiel der Logistik im Rhein-Main-Gebiet /." Wiesbaden : Gabler, 2009. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=017626076&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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Raschke, Falk Werner. "Regionale Wettbewerbsvorteile Identifikation, Analyse und Management von Clustern am Beispiel der Logistik im Rhein-Main-Gebiet." Wiesbaden Gabler, 2008. http://d-nb.info/993522378/04.

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Książki na temat "Logistics Clustering"

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Warffemius, Pim Martinus Jacobus. Modeling the clustering of distribution centers around Amsterdam Airport Schiphol: Location endowments, economies of agglomeration, locked-in logistics and policy implications. Netherlands TRAIL Research School, 2007.

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Value chain clustering in regional publishing services markets. Common Ground Pub., 2002.

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Haezendonck, Elvira, and Alain Verbeke. Sustainable Port Clusters and Economic Development: Building Competitiveness Through Clustering of Spatially Dispersed Supply Chains. Springer International Publishing AG, 2020.

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Haezendonck, Elvira, and Alain Verbeke. Sustainable Port Clusters and Economic Development: Building Competitiveness through Clustering of Spatially Dispersed Supply Chains. Palgrave Macmillan, 2019.

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Raschke, Falk Werner, and Falk Werner Raschke. Regionale Wettbewerbsvorteile: Identifikation, Analyse und Management Von Clustern Am Beispiel der Logistik Im Rhein-Main-Gebiet. Springer, 2008.

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Raschke, Falk Werner. Regionale Wettbewerbsvorteile: Identifikation, Analyse und Management Von Clustern Am Beispiel der Logistik Im Rhein-Main-Gebiet. Westdeutscher Verlag GmbH, 2009.

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Części książek na temat "Logistics Clustering"

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Neubert, Andreas. "Clustering for Monitoring Logistical Processes in General Cargo Warehouses." In Dynamics in Logistics. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44783-0_41.

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Terlunen, Sebastian, Guilherme Barreto, and Bernd Hellingrath. "Application and Evaluation of Multi-criteria Clustering Algorithms for Customer-Oriented Supply Chain Segmentation." In Logistics Management. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13177-1_10.

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Castro, Rodrigo Barros, Daniel Merchán, Orlando Fontes Lima, and Matthias Winkenbach. "City Logistics and Clustering: Impacts of Using HDI and Taxes." In City Logistics 2. John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119425526.ch8.

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Bányai, Tamás. "Black-Hole Heuristics-Based Clustering for Milk-Run Optimization." In Lecture Notes in Logistics. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70977-7_12.

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Sánchez-Partida, Diana, Jaime Mora-Vargas, Neale R. Smith, and Fernando Castillo-Villar. "Clustering of Highly Vulnerable Mexican Municipalities to Develop Humanitarian Public Policies." In Humanitarian Logistics from the Disaster Risk Reduction Perspective. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90877-5_2.

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Rashidov, Akbar, Akmal Akhatov, and Fayzullo Nazarov. "The Same Size Distribution of Data Based on Unsupervised Clustering Algorithms." In Advances in Artificial Systems for Logistics Engineering III. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-36115-9_40.

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Hernández–Hernández, Paula, and Norberto Castillo–García. "Optimization of Route Planning for the Package Delivery Problem Using Fuzzy Clustering." In Technological and Industrial Applications Associated with Intelligent Logistics. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68655-0_12.

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Gan, Wei-hua, and Han Zhang. "City Logistics Hierarchy of Jiangxi Province Based on Grey Clustering Model." In International Asia Conference on Industrial Engineering and Management Innovation (IEMI2012) Proceedings. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38445-5_102.

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Pattanaik, L. N., Amit Kumar Gupta, Shifa Surin, and Aashish Pratap Singh. "Application of Clustering Algorithms for Locating Distribution Centers of Logistics System." In Proceedings of 6th International Conference on Recent Trends in Computing. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4501-0_46.

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Duong, Quan, Dang Nguyen, and Quoc Nguyen. "Hub and Spoke Logistics Network Design for Urban Region with Clustering-Based Approach." In Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79457-6_51.

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Streszczenia konferencji na temat "Logistics Clustering"

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Nguyen, Thai Vuong, Quang Nhat Pham, Tran Hong Phuong Pham, Tran Anh Thu Ho, Duc Duy Nguyen, and Khai Kien Lao. "Optimizing Resource Allocation and Routing in FMCG Logistics: A clustering and Simulated Annealing Approach." In 2024 International Conference on Logistics and Industrial Engineering (ICLIE). IEEE, 2024. https://doi.org/10.1109/iclie61478.2024.11015423.

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Liang, Kun, and Hang Zhang. "Logistics Demand Forecasting and Scheduling Optimization Using K-Means Clustering and Deep Q-Network." In 2025 IEEE International Conference on Electronics, Energy Systems and Power Engineering (EESPE). IEEE, 2025. https://doi.org/10.1109/eespe63401.2025.10987104.

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Singh, Gulshanara, B. L. Wenning, M. Becker, A. Timm-Giel, and Carmelita Gorg. "Agent-based Clustering Approach to Transport Logistics." In 2007 IEEE International Conference on Service Operations and Logistics, and Informatics. IEEE, 2007. http://dx.doi.org/10.1109/soli.2007.4383897.

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Gao, Xuedong, and Ai Wang. "Variable-Scale Clustering." In 2018 8th International Conference on Logistics, Informatics and Service Sciences (LISS). IEEE, 2018. http://dx.doi.org/10.1109/liss.2018.8593262.

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Wu, Gang, Shineng Liu, Yan Zhang, and Qipeng Yan. "Clustering Methods Evaluation As Well As Its Application to Waste Products Clustering Research." In International Conference of Logistics Engineering and Management (ICLEM) 2010. American Society of Civil Engineers, 2010. http://dx.doi.org/10.1061/41139(387)360.

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Болгова, Елена Владимировна, and Юлия Павловна Губарева. "PROJECT MANAGEMENT IN THE INSTITUTIONAL ENVIRONMENT OF TRANSPORT ENTERPRISES IN THE REGION." In Фундаментальные и прикладные исследования. Актуальные проблемы и достижения: сборник избранных статей Всероссийской (национальной) научной конференции (Санкт-Петербург, Декабрь 2020). Crossref, 2020. http://dx.doi.org/10.37539/fipi312.2020.82.20.005.

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Осуществлен анализ проектного управления институциональной средой функционирования транспортных предприятий региона, обоснован вывод относительно обеспечивающей роли национальных проектов в достижении стратегических целей развития транспортно-логистической системы региона, кластеризации транспортных и логистических компаний. The analysis of project management the institutional environment of functioning of the transport companies in the region, the conclusion relative to the supporting roles of national projects in achieving the strategic goals of the development of transport-logistic system o
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Shi M. Shan. "Data Clustering using Hybridization of Clustering Based on Grid and Density with PSO." In 2006 IEEE International Conference on Service Operations and Logistics, and Informatics. IEEE, 2006. http://dx.doi.org/10.1109/soli.2006.235863.

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Shan, Shi M., Gui S. Deng, and Ying H. He. "Data Clustering using Hybridization of Clustering Based on Grid and Density with PSO." In 2006 IEEE International Conference on Service Operations and Logistics, and Informatics. IEEE, 2006. http://dx.doi.org/10.1109/soli.2006.328970.

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Fu, Chenghong, and Zhuo Fu. "Entropy-Weight-AHP Evaluation on Clustering in Logistics Parks." In First International Conference on Transportation Engineering. American Society of Civil Engineers, 2007. http://dx.doi.org/10.1061/40932(246)71.

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Sheng Liu and Hong Zhao. "IGA-FCM double groups parallel clustering algorithm." In 2008 IEEE International Conference on Automation and Logistics (ICAL). IEEE, 2008. http://dx.doi.org/10.1109/ical.2008.4636111.

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