Conceptual Model of a Digital Platform for Cyber-Physical Management of a Modern Enterprises. Part 2. Digital Services

2019 ◽  
Vol 20 (7) ◽  
pp. 387-397 ◽  
Author(s):  
V. I. Gorodetsky ◽  
V. B. Laryukhin ◽  
P. O. Skobelev
Keyword(s):  
Conceptual Model ◽  
Complex Adaptive System ◽  
Multi Agent Systems ◽  
Smart Services ◽  
Digital Platforms ◽  
Digital Platform ◽  
Leading Role ◽  
Digital Ecosystem ◽  
Complex Adaptive ◽  
Platforms And Ecosystems

The paper proposes conceptual model of a digital platform for cyber-physical management of manufacturing enterprises in the upcoming era of Industry 5.0, characterized by the vision of any business, including industrial production or logistics, as a complex adaptive system built on fundamental principles of self-organization and evolution, as well as interaction of artificial intelligence systems and people. The first part discusses principles of building a digital platform that can support operation of an enterprise within Industry 5.0 as a digital ecosystem of smart services. This part of the paper proposes typing of vasic platform services, lists the minimum set of services of each type, and gives description of their functionality. It also substantiates the leading role of multi-agent systems as a basic software architecture and technology for developing applications of the digital eco-systems. The paper provides examples of digital platforms and ecosystems of smart services for management of cargo transportation of the Russian Railways on the principles of "uberisation", life cycle of complex technical products, as well as enterprises of the plant-growing industry. It is shown that results are applicable to modern industrial corporations and enterprises in industry and agriculture, logistics, design, consulting and service.

Conceptual Model of a Digital Platform for Cyber-Physical Management of a Modern Enterprises Part 1. Digital Platform and Digital Ecosystem

2019 ◽  
Vol 20 (6) ◽  
pp. 323-332 ◽  
Author(s):  
V. I. Gorodetsky ◽  
V. B. Laryukhin ◽  
P. O. Skobelev
Keyword(s):  
Artificial Intelligence ◽  
Conceptual Model ◽  
Industry 4.0 ◽  
Autonomous Agents ◽  
Complex Adaptive System ◽  
Predictive Analytics ◽  
Smart Services ◽  
Digital Platforms ◽  
Digital Platform ◽  
Digital Ecosystem

The paper proposes conceptual model of a digital platform for cyber-physical management of modern enterprises in the upcoming era of Industry 5.0. Unlike Industry 4.0, which focuses on automation of physical processes, Industry 5.0 is oriented on digitization of knowledge and automation of reasoning processes for creating artificial intelligence that is able to manage enterprises. This still emerging era will be characterized by the vision of any business, including industrial production or logistics, as a complex adaptive system built on fundamental principles of self-organization and evolution, as well as interaction of artificial intelligence systems and humans. The paper shows that implementation of such production and logistics management systems will require development of new models and decision-making methods based on knowledge and semantic information processing, integration of computational and communication components, accumulation of big data and its processing for predictive analytics, blockchain technologies for fixing mutual obligations of systems components in the for m of smar t contracts, as well as human-machine and software inter faces. Existing approaches to creation of digital platforms within the digital economy of Industry 4.0 and their limitations are analyzed. The concept of digital ecosystem is developed as an open, distributed, self-organized "system of systems" of smart services capable of coming up with solutions and automatically resolving conflicts through negotiations and concessions. The concept of the digital platform within Industry 5.0 is described, which will be able to support functioning of the digital ecosystem of "smart services" of cyberphysical management of both individual objects and enterprises of humans and robots, and in the future, industries of such enterprises — implemented using self-organizing autonomous agents at all levels.

scholarly journals Digital transformation in the manufacturing industry under the optics of digital platforms and ecosystems

2021 ◽  
Vol 12 (4) ◽  
pp. 1139-1159
Author(s):  
Marcelo T. Okano ◽  
Samira N. Antunes ◽  
Marcelo Eloy Fernandes
Keyword(s):  
Manufacturing Industry ◽  
Collaborative Work ◽  
Digital Technologies ◽  
Digital Transformation ◽  
Manufacturing Companies ◽  
Digital Platforms ◽  
Digital Platform ◽  
Digital Ecosystem ◽  
Exploratory Approach ◽  
Platforms And Ecosystems

The new processes for using digital technologies, are requiring manufacturing companies to adapt to these new scenarios, causing a digital transformation. Although the theme Digital transformation is new and current in manufacturing, the way it is being implemented by manufacturing companies is in design and study. Each company adopts or plans its strategy in relation to the digital platform and digital ecosystem. Two digital technologies are widely cited when discussing digital transformation, they are the digital platform and the digital ecosystem. The purpose of this article is to analyze the digital transformation in manufacturing companies from the perspective of digital platforms and ecosystems. In order to answer the research questions, the strategy of this research project was the study of multiple cases with a longitudinal perspective and an exploratory approach. The interview was the main source of data collection. The five platforms studied presented different views of how digital transformation can occur in manufacturing companies, from the simple transaction of matching supplier and consumer to collaborative work with the different stakeholders of the companies.

scholarly journals Digital Platform Ecosystems as Living Labs for Sustainable Entrepreneurship and Innovation: A Conceptual Model Proposal

2021 ◽  
Vol 13 (11) ◽  
pp. 6494
Author(s):  
Grzegorz Baran ◽  
Aleksandra Berkowicz
Keyword(s):  
Conceptual Model ◽  
Real Life ◽  
The Body ◽  
Innovation Development ◽  
Sustainable Entrepreneurship ◽  
Digital Platforms ◽  
Digital Platform ◽  
Living Labs ◽  
Platform Ecosystems ◽  
The Relationship

The main idea of the paper is to combine modern research methods (as living labs that enable research in a real-life setting) with the new technological opportunities for entrepreneurship and innovation development (as digital platforms) to search for innovative solutions, while addressing the sustainable development problems. Thus, the paper aims to explain how real value for society is created within digital platform ecosystems and how they employ to this end novel solutions that better address existing social problems. Consequently, it proposes a conceptual framework to research and develop sustainable entrepreneurship and innovation with the use of digital platforms. This research study takes a synthesizing conceptual approach that seeks to integrate the existing knowledge drawn on two major streams of research: living labs as a methodology and digital platform ecosystems to enrich the theory of sustainable entrepreneurship and innovation development. The paper contributes to the body of knowledge by proposing a novel conceptual model of digital platform ecosystems as living labs for sustainable entrepreneurship and innovation. The model depicts digital platform ecosystems examined as living labs and the implicit processes that include platform users in problem-solving and value-creation in real-life settings. The novelty of the model stems from framing these processes that capture the relationship between individuals and opportunities as the foundations of entrepreneurship and the relationship between the problem space and the solution space, where the opportunities occur.

scholarly journals Holonic Handling the Unexpected in Project Management

2017 ◽  
Vol 2 (1) ◽  
pp. 137-143
Author(s):  
Levente Bakos ◽  
Dănuț Dumitrașcu
Keyword(s):  
Risk Assessment ◽  
Project Management ◽  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Complex Adaptive System ◽  
Project Team ◽  
Abductive Reasoning ◽  
Multi Agent Systems ◽  
Complex Adaptive ◽  
Known Unknowns

Abstract Risk assessment is one the key activities of any project. The unexpected situations can have catastrophic consequences. Risk assessment tries to estimate to potential known unknowns, but there is no guarantee to foresee all circumstances around a project. In this situation the project team must be adaptive and find solutions by cooperation, creativity and abductive reasoning. In the paper we tried to analyse on what extent a project and a project team can be handled as a complex adaptive system. More precisely, how the scientific and practical achievements of the theory of complex adaptive systems (CAS) can be used in project management. More exactly, we analyse the applicability of the Holonic Multi-Agent Systems in risk management of the projects. We consider the way in which holons handle the unexpected situations can be a model in project management.

Mathematical Formalism and Political-Economic Content

2012 ◽  
pp. 82-95 ◽  
Author(s):  
D. Foley
Keyword(s):  
Political Economy ◽  
Statistical Methods ◽  
Complex Adaptive System ◽  
Economic Modeling ◽  
Qualitative Properties ◽  
Mathematical Methods ◽  
Econometric Methods ◽  
Statistical Fluctuations ◽  
Complex Adaptive ◽  
New Thinking

Mathematical methods are only one moment in a layered process of theory generation in political economy, which starts from Schumpeterian vision, progresses to the identification of relevant abstractions, the development of mathematical and quantitative models, and the confrontation of theories with empirical data through statistical methods. But today the relevant abstract problems of political economy are modified to fit available mathematical tools. The role of empirical research in disciplining theoretical speculation, on which the scientific traditions integrity rests, was undermined by specific limitations of nascent econometric methods, and usurped by ex cathedra methodological fiats of theorists. These developmentssystematically favored certain ideological predispositions of economicsas a discipline. There is abundant room for New Thinking in political economy starting from the vision of the capitalist economy as a complex, adaptive system far from equilibrium, including the development of the theory of statistical fluctuations for economic interactions, redirection of macroeconomics and financial economics from path prediction toward an understanding of the qualitative properties of the system, introduction of constructive and computable methods into economic modeling, and the critical reconstruction of econometric statistical methods.

Hybridität als Motor und als Ergebnis von Sprachwandel

Glottotheory ◽  
2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Csaba Földes
Keyword(s):  
Language Development ◽  
Cultural Production ◽  
Language Change ◽  
Adaptive System ◽  
Complex Adaptive System ◽  
Explanatory Variable ◽  
Essential Factor ◽  
Language Functions ◽  
Complex Adaptive ◽  
Linguistic Innovation

AbstractThis paper deals with constellations in which, as consequences of linguistic interculturality, elements of two or more languages encounter each other and result in something partially or completely new, an – occasionally temporary – “third quality”, namely hybridity. The paper contributes to the meta-discourse and theory formation by questioning the concept, term and content of “linguistic hybridity”. It also submits a proposal for a typology of linguistic-communicative hybridity that consists of the following prototypical main groups, each with several subtypes: (1) language-cultural, (2) semiotic, (3) medial, (4) communicative, (5) systematic, (6) paraverbal and (7) nonverbal hybridity. At last, the paper examines hybridity as an explanatory variable for language change. In conclusion, hybridity is generally a place of cultural production, with special regard to communication and language it is potentially considered as an incubator of linguistic innovation. Hybridity can be seen as the engine and as the result of language change, or language development. It represents an essential factor by which language functions and develops as a complex adaptive system. Hybridity operates as a continuous cycle. By generating innovation, it triggers language change, which in turn, leads to further and new hybridizations. The processuality of hybridity creates diversity, while at the same time it can cause the vanishing of diversity.

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