Academic literature on the topic 'Resilient Manufacturing Systems'

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Journal articles on the topic "Resilient Manufacturing Systems"

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Lee, Jay, Shahin Siahpour, Xiaodong Jia, and Patrick Brown. "Introduction to resilient manufacturing systems." Manufacturing Letters 32 (April 2022): 24–27. http://dx.doi.org/10.1016/j.mfglet.2022.02.002.

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Zhang, Jiawen, and Cheng Wang. "Supply–Demand Dynamic Matching in Cloud Manufacturing Based on Hypernetwork Model." Applied Sciences 15, no. 4 (2025): 1747. https://doi.org/10.3390/app15041747.

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In response to the escalating demand for personalisation and customisation, the manufacturing industry is increasingly driven towards digital and intelligent transformation. The fluctuating market environment and variable consumer demands impose significant challenges on the resilience of manufacturing systems. With the advent of Industry 5.0, developing a resilient manufacturing system has become even more critical. While existing studies have extensively explored participant satisfaction in cloud manufacturing, there remains a notable gap in understanding how network resilience impacts suppl
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Lounis, Stavros, Anastasios Koukopoulos, Timoleon Farmakis, and Maria Aryblia. "Evaluation Methodology for Circular and Resilient Information Systems." Applied Sciences 14, no. 17 (2024): 8089. http://dx.doi.org/10.3390/app14178089.

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Digital technologies nowadays provide essential support for companies, making them a priority for businesses and a prominent area of study for researchers. In response to the increasing emphasis on sustainability and resilience, new information systems are developing to meet evolving business needs, namely circular and resilient information systems (CRISs). These systems integrate with traditional ones to optimise key performance indicators (KPIs) related to circularity and resiliency. Despite extensive methodologies for evaluating traditional information systems, systems designed for circular
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Jin, Xiaoning, and Xi Gu. "Option-Based Design for Resilient Manufacturing Systems." IFAC-PapersOnLine 49, no. 12 (2016): 1602–7. http://dx.doi.org/10.1016/j.ifacol.2016.07.809.

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Lu, Jinzhi, Xiaochen Zheng, and Dimitris Kiritsis. "Special Issue: Smart Resilient Manufacturing." Applied Sciences 13, no. 1 (2022): 464. http://dx.doi.org/10.3390/app13010464.

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During the past decades, the global manufacturing industries have been reshaped by the rapid development of advanced technologies, such as cyber-physical systems, Internet of Things, artificial intelligence (AI), machine learning, cloud/edge computing, smart sensing, advanced robotics, blockchain/distributed ledger technology, etc [...]
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Fjodorovs, Nikita, Salih Panz, and Philipp Harder. "Soziotechnisches Informationssystem für resiliente Produktion/Socio-technical information system for resilient production." wt Werkstattstechnik online 115, no. 01-02 (2025): 58–65. https://doi.org/10.37544/1436-4980-2025-01-02-62.

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Unternehmensresilienz gewinnt angesichts globaler Unsicherheiten zunehmend an Bedeutung. Um auf externe Veränderungen und Krisen schnell reagieren zu können, müssen Unternehmen ihre Prozesse und Strukturen flexibel anpassen – und damit auch die IT-Systeme, auf die sie angewiesen sind, wie etwa Enterprise-Resource-Planning und Manufacturing-Execution-Systems. Die steigende Abhängigkeit der Unternehmen von diesen IT-Systemen macht ihre Anpassungsfähigkeit umso wichtiger. Viele IT-Systeme bieten zwar eine gewisse technische Flexibilität, notwendige Veränderungen werden jedoch häufig durch organis
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Mukherjee, Avik, Moritz Glatt, Waleed Mustafa, Marius Kloft, and Jan C. Aurich. "Designing Resilient Manufacturing Systems using Cross Domain Application of Machine Learning Resilience." Procedia CIRP 115 (2022): 83–88. http://dx.doi.org/10.1016/j.procir.2022.10.054.

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Malyshev, Evgeniy A., and Ilya A. Serov. "Analyzing of the Lean Production Mechanism Sustainability in the Design of a Production System under Conditions of Uncertainty." Transbaikal State University Journal 30, no. 4 (2024): 120–27. https://doi.org/10.21209/2227-9245-2024-30-4-120-127.

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In conditions of high uncertainty in international markets and complex supply chains, manufacturing companies face the need to integrate resilience into their systems to counter disruptions caused by external and internal factors such as pandemics and climate crisis. The object of the study is manufacturing systems vulnerable to these factors, and the aim is to develop an approach to designing systems that combines the principles of lean manufacturing and resilience. The main tasks include analyzing existing approaches to designing production systems, identifying key principles of lean manufac
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Mourtzis, Dimitris, John Angelopoulos, and Nikos Panopoulos. "Robust Engineering for the Design of Resilient Manufacturing Systems." Applied Sciences 11, no. 7 (2021): 3067. http://dx.doi.org/10.3390/app11073067.

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As the industrial requirements change rapidly due to the drastic evolution of technology, the necessity of quickly investigating potential system alternatives towards a more efficient manufacturing system design arises more intensely than ever. Production system simulation has proven to be a powerful tool for designing and evaluating a manufacturing system due to its low cost, quick analysis, low risk and meaningful insight that it may provide, improving the understanding of the influence of each component. In this research work, the design and evaluation of a real manufacturing system using D
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Uhlmann, Eckart, Julian Polte, and Christopher Mühlich. "Distributed real-time production control for resilient manufacturing systems." Procedia CIRP 120 (2023): 1274–79. http://dx.doi.org/10.1016/j.procir.2023.09.162.

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Dissertations / Theses on the topic "Resilient Manufacturing Systems"

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Taholakian, Aram Meguerditch. "A methodology for developing resilient distributed control systems." Thesis, Sheffield Hallam University, 1997. http://shura.shu.ac.uk/20418/.

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Manufacturing industries rely on automated manufacturing systems to improve the efficiency, quality and flexibility of production. Such systems typically consist of a variety of manufacturing machinery and control hardware, e.g. CNC machine tools, robots, PCs, Programmable Logic Controllers (PLCs) etc., which operate concurrently. The cost of developing and implementing an automated manufacturing system is high, and is particularly so if the control system is found to be unreliable or unsafe during operation. Distributed Control Systems are generally used to control complex concurrent systems,
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Hu, Yao. "The Modeling, Analysis and Control of Resilient Manufacturing Enterprises." UKnowledge, 2013. http://uknowledge.uky.edu/ece_etds/15.

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The resilience of manufacturing enterprises is an important research topic, since disruptions have severe effects on the normal operation of manufacturing enterprises, especially as manufacturing supply chains become global. Although many case studies have been carried out to address resilience in organizations, a systematic method to model and analyze the resilience dynamics in manufacturing enterprises is not well developed. This study is intended to conduct research on quantitative analysis and control for resilience. After reviewing the literature addressing resilience, a modeling framewor
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Lashway, Christopher R. "Resilient and Real-time Control for the Optimum Management of Hybrid Energy Storage Systems with Distributed Dynamic Demands." FIU Digital Commons, 2017. https://digitalcommons.fiu.edu/etd/3515.

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A continuous increase in demands from the utility grid and traction applications have steered public attention toward the integration of energy storage (ES) and hybrid ES (HESS) solutions. Modern technologies are no longer limited to batteries, but can include supercapacitors (SC) and flywheel electromechanical ES well. However, insufficient control and algorithms to monitor these devices can result in a wide range of operational issues. A modern day control platform must have a deep understanding of the source. In this dissertation, specialized modular Energy Storage Management Controllers (E
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Alamoudi, Rami Hussain. "Interaction Based Measure of Manufacturing Systems Complexity and Supply Chain Systems Vulnerability Using Information Entropy." Scholarly Repository, 2008. http://scholarlyrepository.miami.edu/oa_dissertations/76.

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The first primary objective of this dissertation is to develop a framework that can quantitatively measure complexity of manufacturing systems in various configurations, including conjoined and disjoined systems. In this dissertation, an analytical model for manufacturing systems complexity that employs information entropy theory is proposed and verified. The model uses probability distribution of information regarding resource allocations that are described in terms of interactions among resources for part processing and part processing requirements. In the proposed framework, both direct and
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Gdoura, Rami. "Contribution to the integration of lean into the inventive design of manufacturing systems in the context of industry 5.0." Electronic Thesis or Diss., Strasbourg, 2025. http://www.theses.fr/2025STRAD006.

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Cette recherche propose une méthodologie innovante et structurée pour l’intégration proactive des exigences du Lean et de l’Industrie 5.0 dès la phase de conception des systèmes manufacturiers. Elle s’articule autour d’une analyse approfondie des exigences et des paramètres, de la modélisation axiomatique et de la résolution inventive des contradictions, basée sur la théorie TRIZ. Cette thèse constitue l’une des premières initiatives visant à formaliser le concept de Lean 5.0 et à intégrer de manière proactive ses exigences dès la conception. L’objectif est de fusionner les principes du Lean a
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Liu, Yi-Kuan, and 劉弈寬. "Key Factor of Industry 4.0 in Improving Manufacturing System Resilience." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/kyp9ht.

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碩士<br>國立虎尾科技大學<br>工業管理系工業工程與管理碩士班<br>106<br>With the German government that formally introduced the concept of Industry 4.0 in 2013, information and equipment integration has become an important issue in industrial development; the importation of Industry 4.0 has led the manufacturing system toward “small-volume, large-variety” customized production in order to meet customers’ needs and lead the global industrial technology to continue to stride forward. Industry 4.0, by concept, is to digitize manufacturing systems and to combine existing technologies for three-way communication and analysis
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Books on the topic "Resilient Manufacturing Systems"

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Ivanišová, Eva, Ľubomír Belej, and Adriana Kolesárová, eds. CASEE Online Winter School. Food Environment and Health Risk Assessment in Danube Region (DanubeFEHRA). Book of Abstracts. Slovak University of Agriculture in Nitra, Slovakia, 2021. http://dx.doi.org/10.15414/2021.9788055223322.

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Why have we organized winter school? We believe everyone should be able to understand how important is Food Environment and Health Risk Assessment in Danube Region. The environment plays a crucial role in people’s physical, mental and social well-being. The degradation of the environment, through air pollution, noise, chemicals, poor quality water and loss of natural areas, combined with lifestyle changes, may be contributing to substantial increases of civilisation diseases. The production and consumption of sufficient, affordable and nutritious food, while conserving the natural resources an
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Book chapters on the topic "Resilient Manufacturing Systems"

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Srinivasan, Rengarajan, Duncan McFarlane, and Alan Thorne. "Identifying the Requirements for Resilient Production Control Systems." In Service Orientation in Holonic and Multi-Agent Manufacturing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30337-6_12.

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Vahedi-Nouri, Behdin, Reza Tavakkoli-Moghaddam, Zdenek Hanzalek, and Alexandre Dolgui. "Integrated Workforce Allocation and Scheduling in a Reconfigurable Manufacturing System Considering Cloud Manufacturing." In Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85902-2_57.

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Schumacher, Patrick, Christian Weckenborg, and Thomas S. Spengler. "Economic Design of Matrix-Structured Manufacturing Systems." In Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85902-2_55.

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Sparr, Kelvin, Damian Drexel, and Ralph Hoch. "Using an Auction-Based System in Cloud Manufacturing for Selecting Manufacturing-as-a-Service Providers." In Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85914-5_48.

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Bernhard, Alexis T., Simon Jungbluth, Ali Karnoub, et al. "I4.0 Holonic Multi-agent Testbed Enabling Shared Production." In Artificial Intelligence in Manufacturing. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-46452-2_13.

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AbstractThis chapter aims at presenting the system architecture of a distributed production testbed embedded in an interoperable Shared Production network. The goal of the modular architecture is to enable flexible, resilient and distributed production. The presented approach illustrates how Multi-Agent Systems (MAS) can be incorporated in the manufacturing domain for distributed components on different hierarchy layers based on a holonic approach. The concept is validated on the real-world demonstrator testbed of the SmartFactoryKL. Furthermore, the MAS is combined with Industry 4.0 technolog
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Rakic, Slavko, Ivanka Visnjic, Paolo Gaiardelli, David Romero, and Ugljesa Marjanovic. "Transformation of Manufacturing Firms: Towards Digital Servitization." In Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85902-2_17.

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Ramírez, José, and Arturo Molina. "Improving Manufacturing System Design by Instantiation of the Integrated Product, Process and Manufacturing System Development Reference Framework." In Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85914-5_11.

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Dhungana, Deepak, Alois Haselböck, Christina Schmidbauer, Richard Taupe, and Stefan Wallner. "Enabling Resilient Production Through Adaptive Human-Machine Task Sharing." In Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-90700-6_22.

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Deitermann, Ferdinand, and Thomas Friedli. "A Taxonomy for Resistance Concepts in Manufacturing Networks." In Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85874-2_31.

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Verhulst, Elli, and Stine Fridtun Brenden. "Strategic Roadmapping Towards Industry 4.0 for Manufacturing SMEs." In Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85902-2_1.

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Conference papers on the topic "Resilient Manufacturing Systems"

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Magodi, Yvonne, Ilesanmi Daniyan, Khumbulani Mpofu, and Felix Ale. "Towards the Development of Resilient Manufacturing Systems: A Systematic Literature Review." In 2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG). IEEE, 2024. http://dx.doi.org/10.1109/seb4sdg60871.2024.10630447.

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Li, Mingxing, Ting Qu, Mian Yan, Ming Li, Zhen He, and George Q. Huang. "Out-of-Order Architecture for Real-Time Data-Driven Resilient Planning and Scheduling of Cyber-Physical Manufacturing Systems." In 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE). IEEE, 2024. http://dx.doi.org/10.1109/case59546.2024.10711724.

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STREJOIU, Cristian-Valentin, Mohammed Gmal OSMAN, Corel PANAIT, Alexandra Catalina LAZAROIU, and Ofelia SIMA. "STORAGE SYSTEM TOPOLOGIES FOR VARIOUS RENEWABLE ENERGY SOURCES." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024v/4.2/s16.08.

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Hybrid electricity storage systems are becoming essential for efficiently managing renewable energy sources and enhancing the stability of power grids. As the adoption of renewables expands, these systems are crucial for balancing supply and demand, mitigating intermittency issues, and ensuring grid reliability. This paper offers an in-depth review of different system configurations used in hybrid storage systems, emphasizing the significance of understanding and optimizing their intricate designs. Recent technological advancements have paved the way for the development of innovative storage s
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Han, Xiao, Anqi Zhang, Beina Du, and Shengpeng Zhang. "Integrated Production Scheduling Based on Manufacturing System Resilience." In 2023 14th International Conference on Reliability, Maintainability and Safety (ICRMS). IEEE, 2023. http://dx.doi.org/10.1109/icrms59672.2023.00044.

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Chrisandina, Natasha J., Eleftherios Iakovou, Efstratios N. Pistikopoulos, and Mahmoud M. El-Halwagi. "Design of Process Systems for Flexibility and Resilience Using Multi-Parametric Programming." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.137350.

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Process systems are negatively impacted by manufacturing uncertainties, and increasingly by unknown-unknown disruptive events. To this effect, systems need to be designed with the inherent flexibility and resilience to overcome the impacts of uncertainties and disruptions respectively as it is more challenging to retrofit existing systems with such capabilities. To this end, we propose a methodology based on flexibility analysis to systematically explore the feasibility of design alternatives under parameter uncertainty and discrete disruption scenarios simultaneously. Multi-parametric program
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Peisi, LI, and YE Jinghui. "Digital Transformation Empowering Enterprise Resilience: Micro-evidence from China's High-tech Manufacturing Industry." In The 14th International Conference on Logistics and Systems Engineering. Aussino Academic Publishing House, 2025. https://doi.org/10.52202/078960-0012.

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Espinoza-Zelaya, Carlos, and Young Moon. "Resilient Cyber-Manufacturing Systems Under Cyber Attacks." In ASME 2021 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/imece2021-70019.

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Abstract The concept of cyber-manufacturing systems (CMS) is at the nexus of manufacturing advances by an interdisciplinary effort from engineering, computer science, and information science fields. Future manufacturing will increasingly be characterized by complex, networked cyber-physical systems that may be instantiated in one physical location but distributed across many. However, this vision of an interconnected manufacturing environment ushers in the challenge of new security threats to production systems that still contain traditional closed legacy components. How to address the system
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Gu, Xi, Xiaoning Jin, and Jun Ni. "Resilience Measures of Manufacturing Systems Under Disruptions." In ASME 2014 International Manufacturing Science and Engineering Conference collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/msec2014-4047.

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Unexpected disruptive events always interrupt normal production condition and cause production losses in the manufacturing system. A resilient system is capable of settling itself to the steady-state quickly after the disruption, and compensating for the lost production by using a relatively little overtime. In this paper, we define throughput settling time (TST) and overtime to recover (OTTR) as two resilience measures to analyze multi-stage serial-parallel systems with unreliable machines and finite intermediate buffers. We perform an exact analysis for a two-stage system and develop an appr
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van Erp, Tim, and Niels Gorm Maly Rytter. "Containerized Manufacturing Systems: A Contribution to Designing Resilient Factories." In 2022 10th International Conference on Control, Mechatronics and Automation (ICCMA). IEEE, 2022. http://dx.doi.org/10.1109/iccma56665.2022.10011613.

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Xu, Hui, Yangfan Zhou, Yu Kang, Fengzhi Tu, and Michael Lyu. "Manufacturing Resilient Bi-Opaque Predicates Against Symbolic Execution." In 2018 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN). IEEE, 2018. http://dx.doi.org/10.1109/dsn.2018.00073.

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Reports on the topic "Resilient Manufacturing Systems"

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Boyens, Jon M. Cybersecurity Supply Chain Risk Management for Systems and Organizations. National Institute of Standards and Technology, 2022. http://dx.doi.org/10.6028/nist.sp.800-161r1.

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Organizations are concerned about the risks associated with products and services that may contain potentially malicious functionality, are counterfeit, or are vulnerable due to poor manufacturing and development practices within the supply chain. These risks are associated with an enterprise’s decreased visibility into, and understanding of, how the technology they acquire is developed, integrated, and deployed, or the processes, procedures, standards, and practices used to ensure the security, resilience, reliability, safety, integrity, and quality of the products and services. This publicat
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Goreczky, Péter. The Impact of the Russia-Ukraine War on the Major Transformation Trends of the Global Economy. Külügyi és Külgazdasági Intézet, 2022. http://dx.doi.org/10.47683/kkielemzesek.ke-2022.28.

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The Ukraine war and the implications of the sanctions on Russia have amplified the need for more resilient and transparent supply chains, which is expected to give extra impetus to the adoption of digital technologies both in supply chain management and in manufacturing. The crisis has the potential to catalyse the development of central bank digital currencies around the world, especially in countries that are seeking alternatives to the dollar-based international financial system. Russia and China have been actively working on the de-dollarisation of their bilateral trade flows, which could
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Briones, Roehlano, Ivory Myka Galang, and Jokkaz Latigar. Transforming Philippine Agri-Food Systems with Digital Technology: Extent, Prospects, and Inclusiveness. Philippine Institute for Development Studies, 2023. http://dx.doi.org/10.62986/dp2023.29.

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This study presents a rapid assessment of the adoption of digital technology in Philippine agriculture and its implications for smallholder farmers. Modernization of agriculture, a perennial goal in agricultural policy, is increasingly linked with digital technologies, as outlined in the Philippine Development Plan (PDP) and underscored by Industry 4.0’s transformative impacts on markets, trade, and manufacturing. Digital agriculture offers significant potential benefits, including enhanced productivity, market access, and sustainability. However, it also presents the risk of exacerbating the
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Heitzig, Chris, and Amrita Saha. Labour Market Effects of India’s Termination from the United States’ GSP. Institute of Development Studies, 2025. https://doi.org/10.19088/ids.2025.008.

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This paper investigates the sudden 2019 termination by the United States Generalized System of Preferences (GSP) of trade with India as a quasi-natural experiment. Given the re-election of Donald Trump and global concerns about the future of global trade, understanding the distributional consequences from past trade shocks can inform strategies to balance trade preferences with social equity. The impact of the GSP termination is examined with a triple difference-in-differences specification that controls for both country- and product-level export changes to estimate the impact of the terminati
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ASEAN and Global Value Chains: Locking in Resilience and Sustainability. Asian Development Bank, 2023. http://dx.doi.org/10.22617/spr230100-2.

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Analyzing how the role of ASEAN economies in global value chains has helped spur their recovery and cut poverty, this publication shows the need to future-proof these critical networks to ensure inclusive, sustainable, and greener growth. It explains how the expansion of cross-border trade networks has helped Southeast Asian economies bolster manufacturing and spark a wave of job creation and innovation. On the flipside, it considers the associated environmental impact and social inequality. Highlighting systemic shocks to global trade, it explains how economic momentum, stronger institutions,
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Working Together in Pursuit of Inclusive Business: Sharing the Latin American and Caribbean Experience with Asia and the Pacific. Inter-American Development Bank, 2013. http://dx.doi.org/10.18235/0006455.

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Asia and Latin America are among the world's fastest growing regions. They demonstrated strong resilience and rapid recovery following the global economic crisis, and have many useful lessons to share. For instance, Asia can gain from Latin America's experience of pension systems, cash transfer programs, urban infrastructure development, and agricultural modernization. Similarly, Latin America can benefit from Asia's experience in manufacturing production and supply chains, human capital formation, public-private sector partnerships, and regional financial cooperation initiatives, such as the
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Financial Stability Report - Second Half of 2024. Banco de la República, 2025. https://doi.org/10.32468/rept-estab-fin.sem2.eng-2024.

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I. Performance of Credit Institutions (CIs) CIs in Colombia have adequate capital and liquidity levels to face risk materialization, both at the individual and consolidated levels. As of the third quarter of 2024, total assets and the gross loan portfolio of CIs continued to contract, although at a slower pace. The contraction in the loan portfolio is explained by the recovery in disbursements, in an environment of declining interest rates and a recovery in credit demand. Compared to the first quarter of 2024, the loan portfolio reported a decline in non-performing loans, although default leve
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