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Статті в журналах з теми "Multi agent system-Supplier selection"
Yang, Chang Hui. "Supplier Selection of Multi-Agent Logistic System." Key Engineering Materials 467-469 (February 2011): 614–19. http://dx.doi.org/10.4028/www.scientific.net/kem.467-469.614.
Повний текст джерелаJahani, Alireza, Masrah Azrifah Azmi Murad, Md Nasir bin Sulaiman, and Mohd Hasan Selamat. "An agent-based supplier selection framework." Strategic Outsourcing: An International Journal 8, no. 2/3 (June 15, 2015): 180–205. http://dx.doi.org/10.1108/so-01-2015-0003.
Повний текст джерелаChanghui Yang. "Supplier Selection Mechanism of Logistic Enterprise based on Multi-Agent System." International Journal of Advancements in Computing Technology 4, no. 16 (September 30, 2012): 437–44. http://dx.doi.org/10.4156/ijact.vol4.issue16.51.
Повний текст джерелаLi, Jinghua, Miaomiao Sun, Duanfeng Han, Xiaoyuan Wu, Boxin Yang, Xuezhang Mao, and Qinghua Zhou. "Semantic multi-agent system to assist business integration: An application on supplier selection for shipbuilding yards." Computers in Industry 96 (April 2018): 10–26. http://dx.doi.org/10.1016/j.compind.2018.01.001.
Повний текст джерелаKumar, Bimal Aklesh, and Priya Mohite. "Cognitive Trust Model for B2B E-Market." International Journal of E-Business Research 11, no. 4 (October 2015): 32–46. http://dx.doi.org/10.4018/ijebr.2015100103.
Повний текст джерелаMusumba, George Wamamu, and Patrick Kanyi Wamuyu. "Virtual Enterprise as a Multi Agent System." International Journal of Agent Technologies and Systems 8, no. 1 (January 2016): 46–68. http://dx.doi.org/10.4018/ijats.2016010103.
Повний текст джерелаYu, Chunxia, and T. N. Wong. "A multi-agent architecture for multi-product supplier selection in consideration of the synergy between products." International Journal of Production Research 53, no. 20 (February 16, 2015): 6059–82. http://dx.doi.org/10.1080/00207543.2015.1010745.
Повний текст джерелаYu, Chunxia, T. N. Wong, and Zhi Li. "A hybrid multi-agent negotiation protocol supporting supplier selection for multiple products with synergy effect." International Journal of Production Research 55, no. 1 (May 25, 2016): 18–37. http://dx.doi.org/10.1080/00207543.2016.1189105.
Повний текст джерелаHan, Wei, Bing Zhang, Qianyi Wang, Jun Luo, Weizhi Ran, and Yang Xu. "A Multi-Agent Based Intelligent Training System for Unmanned Surface Vehicles." Applied Sciences 9, no. 6 (March 15, 2019): 1089. http://dx.doi.org/10.3390/app9061089.
Повний текст джерелаGhadimi, Pezhman, Chao Wang, Ming K. Lim, and Cathal Heavey. "Intelligent sustainable supplier selection using multi-agent technology: Theory and application for Industry 4.0 supply chains." Computers & Industrial Engineering 127 (January 2019): 588–600. http://dx.doi.org/10.1016/j.cie.2018.10.050.
Повний текст джерелаДисертації з теми "Multi agent system-Supplier selection"
Sturesson, Johan, and Mattias Sjöberg. "Situation assessment and role selection in the simulated RoboCup domain." Thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik och datavetenskap, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2827.
Повний текст джерелаBerglund, David, and Niklas Larsson. "Controlling a Hydraulic System using Reinforcement Learning : Implementation and validation of a DQN-agent on a hydraulic Multi-Chamber cylinder system." Thesis, Linköpings universitet, Fluida och mekatroniska system, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-177216.
Повний текст джерелаYounes, Walid. "Un système multi-agent pour la composition logicielle opportuniste en environnement ambiant et dynamique." Thesis, Toulouse 3, 2021. http://www.theses.fr/2021TOU30025.
Повний текст джерелаCyber-physical and ambient systems consist of fixed or mobile devices connected through communication networks. These devices host software components that provide services and may require other services to operate. These software components are usually developed, installed, and activated independently of each other and, with the mobility of users and devices, they may appear or disappear unpredictably. This gives cyber-physical and ambient systems an open and changing character. Software components are bricks that can be assembled to form applications. But, in such a dynamic and open context, component assemblies are difficult to design, maintain and adapt. Applications are used by humans who are at the heart of these systems. Ambient intelligence aims to offer them a personalized environment adapted to the situation, i.e. to provide the right application at the right time, anticipating their needs, which may also vary and evolve over time. To answer these problems, our team is exploring an original approach called "opportunistic software composition", which consists in automatically building applications on the fly from components currently available in the environment, without relying on explicit user needs or predefined assembly plans. In this way, applications emerge from the environment, taking advantage of opportunities as they arise. This thesis defines a software architecture for opportunistic software composition and proposes an intelligent system, called "opportunistic composition engine", in order to automatically build relevant applications, both adapted to the user and to the surrounding environment. The opportunistic composition engine periodically detects the components and their services that are present in the ambient environment, builds assemblies of components, and proposes them to the user. It automatically learns the user's preferences according to the situation in order to maximize user satisfaction over time. Learning is done online by reinforcement. It is decentralized within a multi-agent system in which agents interact via a protocol that supports dynamic service discovery and selection. To learn from and for the user, the latter is put in the loop. In this way, he keeps control over his ambient environment, and decides on the relevance of the emerging application before it is deployed. The solution has been implemented and tested. It works in conjunction with an interface that describes the emerging applications to the user and allows him to edit them. The user's actions on this interface are sources of feedback for the engine and serve as an input to the reinforcement learning mechanism
Louati, Amine. "Une approche multi-agents pour la composition de services Web fondée sur la confiance et les réseaux sociaux." Thesis, Paris 9, 2015. http://www.theses.fr/2015PA090035/document.
Повний текст джерелаThis thesis deals with service discovery, selection and composition problems. The aim is to fulfill a complex requester query. To do that, we propose a multi-agent approach based on trust and social networks. We define a trust model as a compositional concept that includes social, expert, recommender and cooperation-based component. The social-based component judges whether or not the provider is worthwhile pursuing before using his services. The expert-based component estimates whether or not the service behaves well and as expected. The recommender-based component checks whether or not an agent is reliable and if we can rely on its recommendations. The cooperation-based component allows agents to decide with whom to interact in a service composition. We propose a distributed algorithm for service discovery using trust between agents and referral systems in social networks. We also develop a new method based on a probabilistic model to infer trust between non adjacent agents while taking into account roles of intermediate agents. Finally, we present an original coalition formation process which is incremental, dynamic and overlapping for service composition in social networks. %In particular, our coalition formation process engaging self-interested agents is incremental, dynamic and overlapping. Experimental results show that our multi-agents approaches are efficient, outperforms existing similar ones and can deliver more trustworthy results at low cost of communications
SCHRAMM, Fernando. "Modelo de seleção de fornecedores para compras públicas baseado em negociação multibilateral e multiaspecto." Universidade Federal de Pernambuco, 2013. https://repositorio.ufpe.br/handle/123456789/18967.
Повний текст джерелаMade available in DSpace on 2017-06-01T18:14:47Z (GMT). No. of bitstreams: 2 license_rdf: 811 bytes, checksum: e39d27027a6cc9cb039ad269a5db8e34 (MD5) Fernando TESE.pdf: 6232408 bytes, checksum: 2758b5fef89a3422ca1f59c9255a8e14 (MD5) Previous issue date: 2013-05-21
A complexidade de um processo licitatório, o princípio da isonomia e a tentativa de obter a proposta mais vantajosa têm induzido a administração pública a adotar uma abordagem de seleção de fornecedores, onde o preço é o único aspecto considerado. Com o objetivo de apoiar este processo, esta tese propõe um modelo de seleção de fornecedores, baseado na legislação brasileira de licitação, que contempla uma etapa de negociação sobre múltiplos aspectos. O modelo estrutura o processo de compras de bens na administração pública em um fluxo de atividades: (i) captação das propostas; (ii) etapa de negociação; e (iii) homologação e adjudicação das propostas. A etapa de negociação consiste de um modelo de apoio à negociação multibilateral e multiaspecto, cuja estratégia adotada garanta ganhos mútuos máximos para as partes envolvidas. O modelo proposto é ilustrado por meio de um processo licitatório já finalizado. Através desta ilustração é possível verificar que o modelo agrega maior dinâmica a lei de licitações, pois as ofertas dos fornecedores são intervalos de valores em diferentes aspectos ao invés de uma oferta fixa e única apenas no aspecto preço. Verificou-se também que a proposta pode ser utilizada para apoiar processos de seleção de fornecedores de empresas do setor privado.
The complexity of bidding process, the equality principle and the attempt to obtain the most advantageous bid have led the government to adopt a selection supplier approach, in which the price is the only issue considered. In order to support this process, this thesis proposes a supplier selection model based on the Brazilian bidding law, which includes a negotiation stage on multiple issues. The model organizes the public bidding process in a flow of activities: (i) bids reception; (ii) negotiation stage; and (iii) approval and award of bids. The negotiation stage is developed as a model to support multi-bilateral and multi-issue negotiations, whose adopted strategy ensures joint maximum gains for the parties involved. The proposed model is illustrated through its application for a bidding process already concluded. This illustration showed that the model aggregates more dynamic to the bidding law since the suppliers bids are ranges of values in different issues instead of a single bid in the price issue only. It was verified that the proposal can be used to support suppliers selection processes in private sector companies.
Chen, Yun-ju, and 陳韻如. "Multi-agent based Dynamic Supplier Selection System." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/33214769772297833460.
Повний текст джерела國立成功大學
資訊管理研究所
95
Facing the trend of globalization, how to lower costs, improve profitability, and share knowledge through supply chain management in the competitive market is an important topic to the decision makers. Thus, selecting the appropriate manufacturers that fulfil enterprise’s demand is the first step to have a successful supply chain management. Good supplier’s relationship can be established through sharing information and cooperation. With the development of information science and technology, it is very urgent to solve the problem of how to utilize information technology to help enterprises choosing the correct supplier. The previous method of collecting data unilaterally has become impractical. Therefore, selecting suppliers would be more flexible and efficient through the multi-agent’s structure. This research presents a prototype of multi-agent-based system, which enables both parties to consult with each other flexibly. The buyer can choose the suitable supplier through this prototype to improve supplier selection decision procedure. Due to the dynamic environment, we analyze enterprise’s demand on the supplier, appoint the agent to go to the external supplier to seek the proper solution, use the mobile agent’s mobility and way of communication of multi-agent, and enable both parties to communicate dynamically constantly. This procedure makes the supplier selection fit better to reality. This research applies multi-agent’s technology on supplier selection question. At last, this research has found that multi-agent technology makes supplier selection procedure more flexible and efficient through some case studies.
JAIN, VIPUL. "Hybrid approaches to model supplier related issues in a dynamic supply chain." Thesis, 2006. http://localhost:8080/iit/handle/2074/25489.
Повний текст джерелаYang, Tsung-Hsien, and 楊宗憲. "An Intelligent Agent-Based System for Personalized Channel Selection in Multi-media Broadcasting Environments." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/75445491332222117823.
Повний текст джерела國立屏東科技大學
資訊管理系
90
Abstract: It has been advocated to develop information appliances to provide ubiquitous Internet information access. With the invention of digital set-top-box, television is expected to become one of the most popular information appliances soon, due to the tremendous digital multi-media programmes it can broadcast. However, as in the World Wide Web, the available TV programmes and their correspondingly electronic information within the increasing digital channels lead to the problem of information overload. Though the audience has more alternatives while choosing programmes, he also has to spend more and more time to read the on-line information about the programme contents or browse different channels in order to decide what to watch. One way to overcome such a problem is to build intelligent recommender systems to provide personalized information services. By analyzing the information collected from the user, a personalized recommender system is able to reason his personal preferences and then choose the programmes for him. This paper presents a multi-agent framework in which a decision tree-based approach is proposed to learn a user’s preferences. The experimental studies concentrate on how to recommend film and news programmes to a user, and on how the system can adapt to a user’s most recent preferences. The results and analysis show the promise of our system.
Wu, Huei-Huan, and 吳蕙圜. "Agent-based Supplier Selection System." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/51881423404600125693.
Повний текст джерелаЧастини книг з теми "Multi agent system-Supplier selection"
Griffiths, Nathan, and Michael Luck. "Cooperative Plan Selection Through Trust." In Multi-Agent System Engineering, 162–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48437-x_14.
Повний текст джерелаOunnar, Fouzia, Olivier Labarthe, Patrick Pujo, and Benoit Montreuil. "Multicriteria Supplier Selection for Supply Chain Management." In Service Orientation in Holonic and Multi-Agent Manufacturing, 27–40. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73751-5_3.
Повний текст джерелаAchatbi, Iman, Khalid Amechnoue, and Saloua Aoulad Allouch. "An Ontology Based Approach to Organize Supplier and Transportation Provider Selection Negotiation in Multi-agent System Model." In Lecture Notes in Networks and Systems, 129–37. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69137-4_13.
Повний текст джерелаUrbani, Dominique, and Marielle Delhom. "Water Management Policy Selection Using a Decision Support System Based on a Multi-agent System." In Lecture Notes in Computer Science, 466–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11558590_46.
Повний текст джерелаBez, Marta R., Cecília D. Flores, João M. L. Fonseca, Vinicius Maroni, Paulo R. Barros, and Rosa M. Vicari. "Influence Diagram for Selection of Pedagogical Strategies in a Multi-Agent System Learning." In Lecture Notes in Computer Science, 621–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34654-5_63.
Повний текст джерелаBellakhal, Raja, and Khaled Ghédira. "Learning to Negotiate Optimally in a Multi-agent Based Negotiation System for Web Service Selection." In Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016, 261–80. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56991-8_20.
Повний текст джерелаSu, Ke, and WeiZhou Song. "Based on Multi-Agent Systems (MAS) of the Prototype Selection System of Virtual Enterprise Partner." In Future Control and Automation, 323–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31003-4_41.
Повний текст джерелаHernes, Marcin, Adrianna Kozierkiewicz, and Marcin Pietranik. "The Agents’ Selection Methods for a Consensus-Based Investment Strategy in a Multi-agent Financial Decisions Support System." In Communications in Computer and Information Science, 60–67. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30278-8_8.
Повний текст джерелаSilva, Vanessa B. S., and Fernando Schramm. "A Multi-criteria Decision Support System for Supplier Selection." In Decision Models in Engineering and Management, 129–41. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-11949-6_7.
Повний текст джерелаHenane, Islem, Lamjed Ben Said, Sameh Hadouaj, and Nasr Ragged. "Multi-agent Based Simulation of Animal Food Selective Behavior in a Pastoral System." In Agent and Multi-Agent Systems: Technologies and Applications, 283–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13480-7_30.
Повний текст джерелаТези доповідей конференцій з теми "Multi agent system-Supplier selection"
Zhu, Zhongyi, Zhebin Xue, and Xianyi Zeng. "Sustainability driven apparel supplier selection." In Conference on Machine learning, Multi Agent and Cyber Physical Systems (FLINS 2022). WORLD SCIENTIFIC, 2023. http://dx.doi.org/10.1142/9789811269264_0062.
Повний текст джерелаWang Yu, Jiang Ying, and Zhang Qiuyue. "An approach of supplier selection based on multi-agents system." In 2007 IEEE International Conference on Grey Systems and Intelligent Services. IEEE, 2007. http://dx.doi.org/10.1109/gsis.2007.4443526.
Повний текст джерелаDrakaki, Maria, Hacer Gören, and Panagiotis Tzionas. "A Multi-Agent based Decision Framework for Sustainable Supplier Selection, Order Allocation and Routing Problem." In Special Session on Logistics and Transport in the Industry 4.0. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0007833300002179.
Повний текст джерелаDrakaki, Maria, Hacer Gören, and Panagiotis Tzionas. "A Multi-Agent based Decision Framework for Sustainable Supplier Selection, Order Allocation and Routing Problem." In Special Session on Logistics and Transport in the Industry 4.0. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0007833306210628.
Повний текст джерелаChen, S., K. Tai, and Z. Li. "Evaluation of supply chain resilience enhancement with multi-tier supplier selection policy using agent-based modeling." In 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2016. http://dx.doi.org/10.1109/ieem.2016.7797849.
Повний текст джерелаSaid, Fatma Ben, and Adel M. Alimi. "Multi Agent-Learner based Online Feature Selection system." In 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2016. http://dx.doi.org/10.1109/smc.2016.7844801.
Повний текст джерелаGong, Yi, Yong Fang, Liang Liu, and Juan Li. "Multi-agent Intrusion Detection System Using Feature Selection Approach." In 2014 Tenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP). IEEE, 2014. http://dx.doi.org/10.1109/iih-msp.2014.137.
Повний текст джерелаWang, Jue, Xiaobo Peng, and Derek Yip-Hoi. "A Multi-Agent System for Distributed, Internet Enabled Cutter/Workpiece Engagement Extractions." In ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/detc2006-99379.
Повний текст джерелаCao, Mukun. "Multi-strategy Selection Supported Automated Negotiation System Based on BDI Agent." In 2012 45th Hawaii International Conference on System Sciences (HICSS). IEEE, 2012. http://dx.doi.org/10.1109/hicss.2012.442.
Повний текст джерелаWie, Kyung-Hoon, Hyung-Jung Kim, Young-Sun Hong, and Sung-Hoon Ahn. "Agent-Based Micro Machining System With Cusp-Height-Minimized Tool Sequence." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-86951.
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