Antifragility Analysis and Measurement Framework for Systems of Systems

The twenty-first century is defined by the social and technical hazards we face. A hazardous situation is a condition, or event, that threatens the well-being of people, organizations, societies, environments, and property. The most extreme of the hazards are considered X-Events and are an exogenous source of extreme stress to a system. X-Events can also be the unintended outputs of a system with both positive (serendipitous) and negative (catastrophic) consequences. Systems can vary in their ability to withstand these stress events. This ability exists on a continuum of fragility that ranges from fragile (degrading with stress), to robust (unchanged by stress), to antifragile (improving with stress). The state of the art does not include a method for analyzing or measuring fragility. Given that what we measure we will improve, the absence of a measurement approach limits the effectiveness of governance in making our systems less fragile and more robust if not antifragile. The authors present an antifragile system simulation model, and propose a framework for analyzing and measuring antifragility based on system of systems concepts. The framework reduces a multidimensional concept of fragility into a two-dimensional continuous interval scale

Collaborative approaches in sustainable and resilient manufacturing

Publisher Copyright: © 2022, The Author(s).In recent years, the manufacturing sector is going through a major transformation, as reflected in the concept of Industry 4.0 and digital transformation. The urge for such transformation is intensified when we consider the growing societal demands for sustainability. The notion of sustainable manufacturing has emerged as a result of this trend. Additionally, industries and the whole society face the challenges of an increasing number of disruptive events, either natural or human-caused, that can severely affect the normal operation of systems. Furthermore, the growing interconnectivity between organizations, people, and physical systems, supported by recent developments in information and communication technologies, highlights the important role that collaborative networks can play in the digital transformation processes. As such, this article analyses potential synergies between the areas of sustainable and resilient manufacturing and collaborative networks. The work also discusses how the responsibility for the various facets of sustainability can be distributed among the multiple entities involved in manufacturing. The study is based on a literature survey, complemented with the experience gained from various research projects and related initiatives in the area, and is organized according to various dimensions of Industry 4.0. A brief review of proposed approaches and indicators for measuring sustainability from the networked manufacturing perspective is also included. Finally, a set of key research challenges are identified to complement strategic research agendas in manufacturing.publishersversionpublishe

From Industry X to Industry 6.0: Antifragile Manufacturing for People, Planet, and Profit with Passion

This white paper addresses the potential pathways the Finnish industry must take in order to be the strategic leader and driver towards defining “Industry 6.0”. The recent global economic situation has revealed that the Finnish industry is affected by risks caused by the pandemic, global supply chains and dependency of suppliers all around the world. Therefore, we need to build up a completely new industrial revolution, in which antifragility is the design principle to increase our resilience to future stressors and global shocks. Like earlier industrial revolutions, advances in technology have paved the way to creating growth and well-being. Disruptive technologies, such as 3D printing and AI are an opportunity in localization of manufacturing back to Finland. The global climate crisis requires us to be at the forefront of a strategy that creates an impact on the environment, economy, and society. Here, the Finnish ICT expertise can solve problems, as long as the support of taking research results out into the industry is supported. The essential component in creating intelligent solutions and new business is data. Long-term development programs are needed for understanding what the use of data unlike ever before will imply for businesses, customers, ethics and regulations.Industry 6.0 is defined in this paper as “Ubiquitous, customer-driven, virtualized, antifragile manufacturing”. It is characterized on one hand by customer-centric, highly customized lot-size-1 thinking, on the other hand by hyperconnected factories, with dynamic supply chains, where data flows across domains. These also change the role of humans as productions workers, as they become part of the interconnected environment and need to handle the digital, optimized production. While we already have strengths that prepare us to lead the next industrial revolution, we also have serious shortcomings. We need to raise the level of ICT knowledge across the industry; we need multidisciplinary research, development and innovation, and a strategy for long-term public commitment and significant investments.We propose that Finland assumes a strong vision: Industry 6.0 is defined in Finland by proactive game-changing actions. This vision is realized in a long-term commitment to implementing an agenda of the following. 1) Finland nominates a Science and Technology minister to steer the activities. Their task would be to steer the implementation of the agenda holistically. 2) Current smart-specialization strategies need to be specified more carefully in order to utilize funding from the European Regional Development Fund (ERDF) more efficiently and in a coordinated matter. 3) Creation of the Virtual Industry 6.0 University, and approximately 10 new Industrial ICT professors and additional postdocs are needed to fill the gaps. 4) Creation of a test factory opening access of the environments broadly and serving as a testbed for Finnish winning platforms. With the network-based test factory, we can create a new pilot model in Finland combining the models of smart specialization, smart co-creation and shared RDI environments to ensure our industrial competitiveness. 5) Establishing a digital transformation accelerator for Finnish industry, aligning the accelerator to European Digital Innovation Hubs selections.</p

High fidelity progressive reinforcement learning for agile maneuvering UAVs

In this work, we present a high fidelity model based progressive reinforcement learning method for control system design for an agile maneuvering UAV. Our work relies on a simulation-based training and testing environment for doing software-in-the-loop (SIL), hardware-in-the-loop (HIL) and integrated flight testing within photo-realistic virtual reality (VR) environment. Through progressive learning with the high fidelity agent and environment models, the guidance and control policies build agile maneuvering based on fundamental control laws. First, we provide insight on development of high fidelity mathematical models using frequency domain system identification. These models are later used to design reinforcement learning based adaptive flight control laws allowing the vehicle to be controlled over a wide range of operating conditions covering model changes on operating conditions such as payload, voltage and damage to actuators and electronic speed controllers (ESCs). We later design outer flight guidance and control laws. Our current work and progress is summarized in this work

Grand challenges in industrial informatics

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Daydreaming factories

Optimisation of factories, a cornerstone of production engineering for the past half century, relies on formulating the challenges with limited degrees of freedom. In this paper, technological advances are reviewed to propose a “daydreaming” framework for factories that use their cognitive capacity for looking into the future or “foresighting”. Assessing and learning from the possible eventualities enable breakthroughs with many degrees of freedom and make daydreaming factories antifragile. In these factories with augmented and reciprocal learning and foresighting processes, revolutionary reactions to external and internal stimuli are unnecessary and industrial co-evolution of people, processes and products will replace industrial revolutions

Antifragile Philosophy in R&D Projects: Applying Q Methodology and the Possibility of Open Innovation

Antifragile philosophy can be the key to improving the management of organizations that base their activity on research and development (R&D) projects. These are types of projects with the greatest uncertainty in all aspects, and the application of antifragile philosophy can result in streamlining their management and development. In this article, the Q methodology is used to investigate whether organizations in R&D environments have antifragile characteristics. To this end, 15 innovation experts from research institutes located in Northern Spain were interviewed about their position regarding project management behaviors that are related to antifragile philosophy. As a result, it was verified that the characteristics of an ideal system of a research institute with antifragile philosophy are multidisciplinary and autonomous teams with a capacity for rapid response and adaptation to the environment