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Formation of Teams of Performers of Projects at Innovative Enterprises within the Framework of the Industry 4.0 Concept
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The problem of human resource management in the planning and implementation of high-tech projects in innovative enterprises is considered. This problem arises in the conditions of the fourth industrial revolution, due to the need for effective implementation of projects using breakthrough technologies, since such projects require a special level of competence of contractors. The procedures for forming an expert commission for evaluating alternative options for the composition of teams of high-tech project performers are described, as well as the process of forming a collective decision in the form of conjunctive consensus. The methodological basis of the described process of collective expert assessment is based on the following tools known in the theory of variational calculus, such as: -truncated middle calculus, excess ratio, statistics Q , the values selective average. An illustrative example is given of evaluating alternative options for the composition of the project for creating a new model of a self-propelled passenger ramp at a typical aviation profile enterprise.
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... For example, team fluidity across production levels (Pfeiffer, Lee, and Held 2019) is linked to promoting the early involvement of employees (Arcidiacono et al. 2019; Pfeiffer, Lee, and Held 2019) from across industry sectors (Škrinjarić and Domadenik 2019;Robert et al. 2020). The formation of such 'teams of performers' specifically for high-tech projects (Matyushenko et al. 2019) necessitates project management specific competencies. In particular, having a 'servant-leadership' style as opposed to an outdated 'command and control' strategy simplifies implementation (Marnewick and Marnewick 2019;Sony and Naik 2019;Herceg et al. 2020;Vrchota et al. 2021). ...
Industry 4.0 (I4.0) is a fast-evolving area of research, bringing together knowledge from multiple academic fields into creative solutions for manufacturing innovation. Despite the growing amount of published work covering a wide range of I4.0 areas, there has been relatively little research devoted to the organisational side of implementing I4.0. To address this gap, this systematic review paper used quantitative analysis by text-mining 97 articles from 2015 to 2021. The analysis identified eleven research streams, which were grouped into five levels, namely industry and firm, smart factory, data, human resources and supply chain. The research streams were then comprehensively reviewed and presented. For each stream, the paper presents a number of sub-themes and highlights important findings and areas that may require further development. We discuss three important research avenues in the organisational management literature: (1) the impact of the pandemic on the implementation of I4.0, (2) the tension between value creation and value protection during the implementation of 4.0 and (3) the relevance of a contingency approach during the implementation of I4.0.
... There are also other ways to organize human resources for innovative industrial projects, which are presented in work [4]. ...
This paper considers issues related to the re-structuring of virtual industrial enterprises, in particular the prospects for developing a virtual instrument-making enterprise (VIE). Such enterprises operate by employing external geographically distributed resources and could be flexible in terms of making a product demanded by market. We have proposed elements of information technology (IT) to support decision making on the organization of VIE operation. The IT elements include models and structures for decision making, including those aimed at the rational use of resources in the operation of VIE. The purpose of the proposed IT is to solve a task on supporting decision-making in the restructuring of production processes at virtual instrument-making enterprises based on market conditions. The need for re-structuring of production is caused by difficult conditions of market economy for small and medium instrument-making enterprises. A production program is formed on the basis of the currently existing demand for different categories of articles included in the product range of an enterprise, or correspond to the direction of VIE operation. The IT elements include models for an informational-analytical portal (IAP), as well as a block diagram for deploying and supporting a unified knowledge space, at flexible re-structuring of production according to market conditions. The IAP also includes expert systems (ES). The designed IT for a decision-making support to a VIE head would make it possible to produce the product demanded in the market and profitable in manufacture. IT could enable determining the number and types of necessary resources according to the assigned criteria, their distribution, taking into consideration a direction of production re-structuring
Industry 4.0 is the new productive paradigm that is driving the 4th industrial revolution. The specific difficulties in adapting to this new approach pose challenges for Machine Tool (MT) companies, mostly Small and Medium Enterprises (SME). In order to implement a route appropriately, tools such as the Maturity Model (MM) can be very useful, since they help to evaluate the initial state of the company and to plan a development road map. Over the last few years, several MMs geared towards Industry 4.0 have been created and released, some of which are specifically aimed at certain sectors. However, there is none specially developed for an industry of such vital importance as the MT sector. This article presents a new MM adapted to this type of company, with a design based on previously validated developments and standards relating to MM. A representative company in the sector was chosen as a case study for testing the new tool, with excellent results. It was decided that the next step should be to disseminate it to more companies so that it could become a standard MM in the sector.
The paper analyses the concept of convergent technologies development
as a key factor in solving global problems in the new industrial revolution. The
main trends in the development of convergent technologies identify advanced
manufacturing technologies; the most promising for the enterprises in developed
countries are defined. Priority areas for development and their implementation into
the economy of Ukraine are identified. Additionally, scientific and methodical
approaches to the creation of institutional support mechanism for the development
and implementation of convergent technologies in Ukraine in conditions of a
common research area ration with the EU are reflected in this paper.
The article considers the problem of increasing the technological competitiveness of Ukrainian enterprises under conditions of a new industrial revolution through the development and introduction of advanced converged technologies. The classification of industrial revolutions, namely, industrial, technological, information and Industry 4.0, is presented, and it has been determined that the key factor of the latter is cyber physical systems for introduction of the client-oriented “Internet of Things”. It has been justified that the formation of Industry 4.0 in developed countries will occur through advanced production technologies (APT), which main characteristics are technological substitution, automation, customization, localization and economic efficiency. It has been found that in 2020 the main priority APT will be: systems of production process control; multidimensional modeling of complex products; intelligent production systems and robotics; systems of creation and transformation (growing) of material objects and 3D-printing; materials effective in creating perspective actuating devices (compositional and those that exhibit their properties in small-size structures). It has been proved that the recovery of Ukraine’s industry is not possible on the old industrial base, and the creation of a new industry based on APT of Industry 4.0 is possible in the following areas: ICT (primarily in the field of software development); new composite materials with specified properties; industrial nanobiotechnologies (biomedicine and pharmacy, new agricultural technologies); mathematical modeling for creation of intelligent production systems; space research and development (in particular, development of the first stages of heavy missiles). The necessity of elaborating state programs of competitiveness development on the basis of APT, foresight research of technology priorities, promoting high-tech exports in Ukraine has been substantiated.
Prospects for the development of convergent technologies in the countries of the world and Ukraine for solving global problems
- I Y Matyushenko
Matyushenko I. Y., Prospects for the development of
convergent technologies in the countries of the world and
Ukraine for solving global problems, FOP Liburkina L.
M., 2017. (In Ukrainian)
The concept of competence-based approach to personnel management
- A Kibanov
- Ya
Kibanov A. Ya., The concept of competence-based
approach to personnel management, SIC INFRA-M, 2014
(In Russian).
Mathematical-statistical methods of expert estimates
- S D Beshelev
- F G Gurvich
Beshelev S. D., Gurvich F. G., Mathematical-statistical
methods of expert estimates, Statistics, 1974. (In Russian).
Fuzzy model of assessing the admissibility of the inclusion of applicants in the team of performers of high-tech projects, according to the level of competence
- E I Shostak
Shostak E.I., "Fuzzy model of assessing the admissibility
of the inclusion of applicants in the team of performers of
high-tech projects, according to the level of competence",
Vestnik dvigatelestroyeniya, No. 2, pp. 42-48, 2016. (In
Ukrainian)