Relevant bibliographies by topics / Event-Chain

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Event-Chain'

Author: Grafiati
Published: 30 November 2024
Last updated: 31 July 2025

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Journal articles on the topic "Event-Chain"

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Heusler, Klaus Felix, Wolfgang Stölzle, and Harald Bachmann. "Supply Chain Event Management." WiSt - Wirtschaftswissenschaftliches Studium 35, no. 1 (2006): 19–24. http://dx.doi.org/10.15358/0340-1650-2006-1-19.

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Nissen, Volker. "Supply Chain Event Management." Wirtschaftsinformatik 44, no. 5 (2002): 477–80. http://dx.doi.org/10.1007/bf03250869.

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Sangeetha, S., R. S. Thakur, and Michael Arock. "Event detection using trigger chain." International Journal of Knowledge Engineering and Data Mining 2, no. 1 (2012): 76. http://dx.doi.org/10.1504/ijkedm.2012.044708.

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Barclay, Lorna M., Rodrigo A. Collazo, Jim Q. Smith, Peter A. Thwaites, and Ann E. Nicholson. "The dynamic chain event graph." Electronic Journal of Statistics 9, no. 2 (2015): 2130–69. http://dx.doi.org/10.1214/15-ejs1068.

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Gautham, Ram Rajendiran. "Event Handler Platform for Large-Scale Supply Chain Systems." European Journal of Advances in Engineering and Technology 8, no. 5 (2021): 53–58. https://doi.org/10.5281/zenodo.13919505.

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In large-scale supply chain systems that are built with the service oriented architecture pattern [1], event handling plays a critical role in managing operations like inventory updates, order processing and logistics [3]. However, inconsistent event-handling mechanisms across teams dedicated to managing such a large scale system can lead to a lack of holistic view of events that enable proactive identification of supply chain risks [4] in the system and redundant development work to handle events. This paper proposes a centralized event-handling platform that standardizes interfaces, provides
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Lv, Shangwen, Wanhui Qian, Longtao Huang, Jizhong Han, and Songlin Hu. "SAM-Net: Integrating Event-Level and Chain-Level Attentions to Predict What Happens Next." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 6802–9. http://dx.doi.org/10.1609/aaai.v33i01.33016802.

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Scripts represent knowledge of event sequences that can help text understanding. Script event prediction requires to measure the relation between an existing chain and the subsequent event. The dominant approaches either focus on the effects of individual events, or the influence of the chain sequence. However, only considering individual events will lose much semantic relations within the event chain, and only considering the sequence of the chain will introduce much noise. With our observations, both the individual events and the event segments within the chain can facilitate the prediction
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Stölzle, Wolfgang. "Kommentar zum Supply Chain Event Management." Die Unternehmung 65, no. 2 (2011): 130–32. http://dx.doi.org/10.5771/0042-059x-2011-2-130.

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Otto, Andreas. "Supply Chain Event Management: Three Perspectives." International Journal of Logistics Management 14, no. 2 (2003): 1–13. http://dx.doi.org/10.1108/09574090310806567.

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Supply Chain Event Management (SCEM) addresses a fundamental business problem: inter‐organizational processes rarely execute as scheduled, since they happen in an environment prone to failure and disturbance. SCEM attempts to identify, as early as possible, the resulting deviations between the plan and its execution across the multitude of processes and actors in the supply chain to trigger corrective actions according to predefined rules. Despite SCEM's well documented attractiveness for practitioners, it has received little attention as a field of academic research. This paper provides an in
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Barclay, Lorna M., Jane L. Hutton, and Jim Q. Smith. "Chain Event Graphs for Informed Missingness." Bayesian Analysis 9, no. 1 (2014): 53–76. http://dx.doi.org/10.1214/13-ba843.

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Smith, Jim Q., and Paul E. Anderson. "Conditional independence and chain event graphs." Artificial Intelligence 172, no. 1 (2008): 42–68. http://dx.doi.org/10.1016/j.artint.2007.05.004.

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Dissertations / Theses on the topic "Event-Chain"

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Collazo, Rodrigo A. "The dynamic chain event graph." Thesis, University of Warwick, 2017. http://wrap.warwick.ac.uk/91075/.

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The Chain Event Graph (CEG) is a type of tree-based graphical model that accommodates all discrete Bayesian Networks as a particular subclass. It has already been successfully used to capture context-specific conditional independence structures of highly asymmetric processes in a way easily appreciated by domain experts. Being built from a tree, a CEG has a huge number of free parameters that makes the class extremely expressive but also very large. Exploring the enormous CEG model space then makes it necessary to design bespoke algorithms for this purpose. All Bayesian algorithms for CEG mode
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Thwaites, Peter. "Chain event graphs : theory and application." Thesis, University of Warwick, 2008. http://wrap.warwick.ac.uk/49194/.

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This thesis is concerned with the Graphical model known as the Chain Event Graph (CEG) [1][60][61], and develops the theory that appears in the currently published papers on this work. Results derived are analogous to those produced for Bayesian Networks (BNs), and I show that for asymmetric problems the CEG is generally superior to the BN both as a representation of the problem and as an analytical tool. The CEG is designed to embody the conditional independence structure of problems whose state spaces are asymmetric and do not admit a natural Product Space structure. In this they differ from
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Freeman, Guy. "Learning and predicting with chain event graphs." Thesis, University of Warwick, 2010. http://wrap.warwick.ac.uk/4529/.

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Graphical models provide a very promising avenue for making sense of large, complex datasets. The most popular graphical models in use at the moment are Bayesian networks (BNs). This thesis shows, however, they are not always ideal factorisations of a system. Instead, I advocate for the use of a relatively new graphical model, the chain event graph (CEG), that is based on event trees. Event trees directly represent graphically the event space of a system. Chain event graphs reduce their potentially huge dimensionality by taking into account identical probability distributions on some of the ev
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Albors, Marques Laura, and Jagathishvar Jayakumar. "Discrete Event Simulation for Aftermarket Supply Chain." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-280678.

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The planning of an Aftermarket Supply Chain is a very complex task. This is due to an unpredictable demand which is driven by the need for maintenance and repair. This drive translates to a high variety of lead times, a large number of stock-keeping units (SKUs) and the capacity to deliver spare parts during its full lifecycle. With all these complexities in place, optimizing and parametrizing the planning process is a difficult and time-consuming task. Moreover, the current optimization tool focuses only on one node (each warehouse individually) of the whole Supply Chain, without considering
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Suzuki, Yuya. "Rare-event Simulation with Markov Chain Monte Carlo." Thesis, KTH, Matematisk statistik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-138950.

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In this thesis, we consider random sums with heavy-tailed increments. By the term random sum, we mean a sum of random variables where the number of summands is also random. Our interest is to analyse the tail behaviour of random sums and to construct an efficient method to calculate quantiles. For the sake of efficiency, we simulate rare-events (tail-events) using a Markov chain Monte Carlo (MCMC) method. The asymptotic behaviour of sum and the maximum of heavy-tailed random sums is identical. Therefore we compare random sum and maximum value for various distributions, to investigate from whic
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Gudmundsson, Thorbjörn. "Rare-event simulation with Markov chain Monte Carlo." Doctoral thesis, KTH, Matematisk statistik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-157522.

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Stochastic simulation is a popular method for computing probabilities or expecta- tions where analytical answers are difficult to derive. It is well known that standard methods of simulation are inefficient for computing rare-event probabilities and there- fore more advanced methods are needed to those problems. This thesis presents a new method based on Markov chain Monte Carlo (MCMC) algorithm to effectively compute the probability of a rare event. The conditional distri- bution of the underlying process given that the rare event occurs has the probability of the rare event as its normalisin
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Fantozzi, Esmè 1968. "A strategic approach to supply chain event management." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/28565.

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Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2003.<br>Includes bibliographical references (p. 35).<br>This thesis project explores the possibility to apply project management techniques, specifically critical path method, and PERT, to supply chain event management. The idea behind the project is to create a framework for putting supply chain events into a broader supply chain context and assessing their criticality. Such a framework can then be utilized as a starting point for supply chain event management software applications. The proble
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Wiedenbruch, Alexander [Verfasser]. "A Modeling Language for Supply Chain Event Management / Alexander Wiedenbruch." München : Verlag Dr. Hut, 2014. http://d-nb.info/1047994801/34.

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Barclay, Lorna M. "Modelling and reasoning with chain event graphs in health studies." Thesis, University of Warwick, 2014. http://wrap.warwick.ac.uk/63223/.

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The Chain Event Graph (CEG) is a new class of graphical model, first introduced in Smith and Anderson [2008], which is derived from a probability tree by merging vertices whose associated conditional probabilities are the same. It is proving to be a useful framework for modelling asymmetric problems and further generalises the Bayesian Network (BN), by allowing for context-specific dependence structures between the variables of the problem. This thesis provides a first demonstration of the value of using the CEG in real-world applications and the new techniques developed here are motivated by
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Mendling, Jan, and Gustaf Neumann. "Yet Another Event-driven Process Chain - Modelling Workflow Patterns with yEPCs." Gesellschaft für Informatik e.V, 2005. http://epub.wu.ac.at/6018/1/Mendling_etal_2005_EMISA_Yet%2DAnother%2DEvent%2Ddriven.pdf.

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The 20 workflow patterns proposed by van der Aalst et al. provide a comprehensive benchmark for comparing process modelling languages. In this article, we discuss workflow pattern support of Event-Driven Process Chains (EPCs). Building on this analysis, we propose three extensions to EPCs in order to provide for workflow pattern support. These are the introduction of the so-called empty connector; inclusion of multiple instantiation concepts; and a cancellation construct. As both the latter are inspired by YAWL, we refer to this new class of EPCs as Yet Another Event-driven Process Chain (yEPC
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Books on the topic "Event-Chain"

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Hunewald, Christian. Supply Chain Event Management. Deutscher Universitätsverlag, 2005. http://dx.doi.org/10.1007/978-3-322-81251-3.

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Ijioui, Raschid, Heike Emmerich, and Michael Ceyp, eds. Supply Chain Event Management. Physica-Verlag HD, 2007. http://dx.doi.org/10.1007/978-3-7908-1740-9.

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Ijioui, Raschid, Heike Emmerich, and Michael Ceyp, eds. Strategies and Tactics in Supply Chain Event Management. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-73766-7.

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Raschid, Ijioui, Emmerich Heike 1969-, and Ceyp Michael H. 1965-, eds. Strategies and tactics in supply chain event management. Springer, 2008.

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Schmidt, Dirk. RFID im Mobile Supply Chain Event Management: Anwendungsszenarien, Verbreitung und Wirtschaftlichkeit. Betriebswirtschaftlicher Verlag Gabler, 2006.

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Collazo, Rodrigo A., Christiane Görgen, and Jim Q. Smith. Chain Event Graphs. CRC Press, 2018. http://dx.doi.org/10.1201/9781315120515.

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Collazo, Rodrigo A., Christiane Goergen, and Jim Q. Smith. Chain Event Graphs. Taylor & Francis Group, 2018.

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Chain Event Graphs. Taylor & Francis Group, 2018.

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Collazo, Rodrigo A., Christiane Goergen, and Jim Q. Smith. Chain Event Graphs. Taylor & Francis Group, 2018.

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Collazo, Rodrigo A., Christiane Goergen, and Jim Q. Smith. Chain Event Graphs. Taylor & Francis Group, 2018.

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Book chapters on the topic "Event-Chain"

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Hunewald, Christian. "Supply Chain Event Management." In Supply Chain Event Management. Deutscher Universitätsverlag, 2005. http://dx.doi.org/10.1007/978-3-322-81251-3_3.

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Hunewald, Christian. "Einleitung." In Supply Chain Event Management. Deutscher Universitätsverlag, 2005. http://dx.doi.org/10.1007/978-3-322-81251-3_1.

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Hunewald, Christian. "Unternehmen im Wandel." In Supply Chain Event Management. Deutscher Universitätsverlag, 2005. http://dx.doi.org/10.1007/978-3-322-81251-3_2.

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Hunewald, Christian. "SCEM in einem Modellunternehmen der Automobilzuliefererindustrie." In Supply Chain Event Management. Deutscher Universitätsverlag, 2005. http://dx.doi.org/10.1007/978-3-322-81251-3_4.

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Hunewald, Christian. "Schlussbetrachtung." In Supply Chain Event Management. Deutscher Universitätsverlag, 2005. http://dx.doi.org/10.1007/978-3-322-81251-3_5.

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van Bonn, Bernhard. "Mehrwert durch Outsourcing von Supply Chain Event Management (SCEM)-Lösungen." In Supply Chain Event Management. Physica-Verlag HD, 2007. http://dx.doi.org/10.1007/978-3-7908-1740-9_7.

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Davis, Rob. "The Event-Driven Process Chain." In Business Process Modelling with ARIS: A Practical Guide. Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-0321-9_7.

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S., Sangeetha, R. S. Thakur, and Michael Arock. "Event Detection Using Lexical Chain." In Advances in Natural Language Processing. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14770-8_35.

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Liu, Maofu, Wenjie Li, Xiaolong Zhang, and Ji Zhang. "Event-Based Summarization Using Critical Temporal Event Term Chain." In Computer Processing of Oriental Languages. Language Technology for the Knowledge-based Economy. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00831-3_38.

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Mendling, Jan, Gustaf Neumann, and Markus Nüttgens. "Yet Another Event-Driven Process Chain." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11538394_35.

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Conference papers on the topic "Event-Chain"

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Peng, Lei, Dejuan Chen, and Tingfeng Gu. "Application Research of Security Analysis Technology Based on Event Chain." In 2023 14th International Conference on Reliability, Maintainability and Safety (ICRMS). IEEE, 2023. http://dx.doi.org/10.1109/icrms59672.2023.00076.

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Graver, Brit, Felix Saint-Victor, Kari Lønvik, Anne-Britt Høydal, Bente H. Leinum, and Erling Skavås. "Corrosion Threats – Key Performance Indicators (KPIs) Based on a Combined Integrity Management and Barrier Concept." In CORROSION 2013. NACE International, 2013. https://doi.org/10.5006/c2013-02716.

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Abstract Corrosion of submarine pipelines in the North Sea is the most common threat resulting in loss of containment (burst or pinhole leak). Industry experience shows that such failures are often due to a lack of sound corrosion monitoring systems. Such systems should be part of a total integrity management system consisting of a continuous integrity improvement process (threat identification, inspection planning, assessment and mitigation) with supporting management processes. Barriers are suggested to be any kind of measure put in place to prevent a hazardous event (preventive barriers) an
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Moroni, Niccolò, Mattia Francioli, Alessandro Guarnieri, and Francesco Petrini. "Multi-Hazard Analysis of Steel Buildings Subjected to Earthquake and Fire." In The 12th International Conference on Fracture Fatigue and Wear. Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-cui85q.

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Fire produces unique effects on steel structures which can compromise the residual capacity and therefore the structural response if they impact jointly with other natural hazards, such as earthquakes. This work presents a procedure that allows for the extension of the analysis method introduced in the 1990s by Fajfar and Gaspersic and outlined in EC8 (referred to as the N2 method) for the case of Multi-Hazard (MH) analysis, specifically for hazard-chain scenarios involving earthquake and fire. The goal is to assess the structural performance at the end of the sequence of considered events. By
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Straube, Frank, Stefan Vogeler, and Philipp Bensel. "RFID-based Supply Chain Event Management." In 2007 1st Annual RFID Eurasia. IEEE, 2007. http://dx.doi.org/10.1109/rfideurasia.2007.4368115.

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Lu, Zhongyu, Weiren Yu, Richong Zhang, Jianxin Li, and Hua Wei. "Discovering Event Evolution Chain in Microblog." In 2015 IEEE 17th International Conference on High-Performance Computing and Communications; 2015 IEEE 7th International Symposium on Cyberspace Safety and Security; and 2015 IEEE 12th International Conference on Embedded Software and Systems. IEEE, 2015. http://dx.doi.org/10.1109/hpcc-css-icess.2015.81.

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"CHAIN EVENT GRAPH MAP MODEL SELECTION." In International Conference on Knowledge Engineering and Ontology Development. SciTePress - Science and and Technology Publications, 2009. http://dx.doi.org/10.5220/0002292403920395.

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Yinhug Qin, Quanguang Guan, and Hong Zheng. "Supply chain event management in multimodal transportation." In 2008 IEEE International Conference on Service Operations and Logistics, and Informatics. IEEE, 2008. http://dx.doi.org/10.1109/soli.2008.4682787.

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Jiao, Yizhu, Ming Zhong, Jiaming Shen, Yunyi Zhang, Chao Zhang, and Jiawei Han. "Unsupervised Event Chain Mining from Multiple Documents." In WWW '23: The ACM Web Conference 2023. ACM, 2023. http://dx.doi.org/10.1145/3543507.3583295.

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Vlachakis, Georgios, and Dimitris Apostolou. "An event-based framework for supply chain management." In 2014 5th International Conference on Information, Intelligence, Systems and Applications (IISA). IEEE, 2014. http://dx.doi.org/10.1109/iisa.2014.6878724.

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Saksupawattanakul, Chalika, and Wiwat Vatanawood. "Event-B Formalization of Basic Supply Chain Patterns." In 2018 19th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD). IEEE, 2018. http://dx.doi.org/10.1109/snpd.2018.8441070.

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Reports on the topic "Event-Chain"

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Lindquist, Joachim, and Henning de Haas. Creating Supply Chain Resilience Through Scenario Planning: How a Digital Twin Can Be Used To Enhance Supply Chain Resilience Through Scenario Planning. Aarhus University Library, 2021. http://dx.doi.org/10.7146/aul.435.

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This book focusses on the concept of supply chain disruptions and how supply chain resilience can contribute to both preparing for and reacting to the event causing disruption. For building a digital twin of a supply chain, a software named Supply Chain Guru has been used. The software is a supply chain design tool which can be used for different kinds of supply chain network optimisation. The book outlines four scenarios: Covid-19 lockdown, Brexit without deal, Conflagration at a dairy and Political regulations on transport. The scenarios all contain a problem that needs to be solved. This pr
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Rivadeneira, Alex. Public Transportation and Consumer Prices: Chain Stores, Street Vendors and Mom and Pop Stores. Banco de México, 2024. http://dx.doi.org/10.36095/banxico/di.2024.02.

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Improving public transport infrastructure changes local market conditions. In this paper, I examine the impact of the construction and operation of "Metrobus", Mexico City's Bus Rapid Transit (BRT) system on consumer prices in chain stores, street vendors, and small family-owned (mom and pop) stores. I do so through a panel event study design. I consider the construction and operation of BRT as two different phenomena; while the former is associated to street closures, the latter reduces transportation costs. I show that only prices in mom and pop stores respond to changes in local market cond
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