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EN
Purpose: The purpose of this publication is to present the applications of usage of business analytics in smart manufacturing. Design/methodology/approach: Critical literature analysis. Analysis of international literature from main databases and polish literature and legal acts connecting with researched topic. Findings: The integration of business analytics in smart manufacturing within the framework of Industry 4.0 marks a significant stride in industrial processes, offering manifold advantages alongside notable challenges. Throughout this study, we delve into the expansive realm of business analytics applications, encompassing predictive maintenance, quality control, supply chain optimization, and real-time decision-making. Leveraging business analytics yields palpable benefits in smart manufacturing, exemplified by proactive equipment maintenance, stringent quality standards adherence, and streamlined supply chain operations. Additionally, analytics-driven enhancements in production optimization, energy management, demand forecasting, and asset performance management contribute to heightened productivity, cost reduction, and sustainability improvement. Challenges including data integration complexities, implementation intricacies, security concerns, scalability limitations, model interpretability issues, and skill gaps necessitate concerted efforts for effective resolution. Collaboration among stakeholders- manufacturers, software developers, policymakers, and educational institutions—is imperative. Joint initiatives aimed at bolstering data integration capabilities, providing specialized training, fortifying cybersecurity measures, and fostering a culture of continuous improvement are crucial for successful business analytics deployment. Originality/Value: Detailed analysis of all subjects related to the problems connected with the usage of business analytics in the case of smart manufacturing.
EN
This paper aims to map the current state and future expectations of small and medium-sized enterprises (SMEs) from Industry 4.0 implementation. For the given purpose, a readiness self-assessment survey method was developed and applied for groups of respondents from selected SMEs. This survey focuses on the following three main areas: smart manufacturing, smart logistics, and platform based business models. Each of these areas consists of five sub-areas for which maturity levels are defined. The novelty of the proposed maturity model lies in identifying current maturity levels, and maturity levels where companies would like to be by choosing from the options. The results of the survey showed that, of the three areas mentioned, the highest attention is paid to manufacturing areas, while digital platform business models are of the least interest to SMEs.
PL
Niniejszy artykuł ma na celu zmapowanie obecnego stanu i przyszłych oczekiwań małych i średnich przedsiębiorstw (MŚP) związanych z wdrożeniem Industry 4.0. W tym celu opracowano i zastosowano metodę samooceny gotowości w formie ankiety dla grup respondentów z wybranych MŚP. Ankieta ta koncentruje się na następujących trzech głównych obszarach: inteligentna produkcja, inteligentna logistyka oraz modele biznesowe oparte na platformach. Każdy z tych obszarów składa się z pięciu podobszarów, dla których zdefiniowano poziomy dojrzałości. Wyniki ankiety wykazały, że spośród trzech wymienionych obszarów największą uwagę przywiązuje się do obszarów produkcji, podczas gdy modele biznesowe oparte na platformach cyfrowych cieszą się najmniejszym zainteresowaniem MŚP.
PL
W artykule przedstawiono możliwości wykorzystania nowoczesnych technologii stosowanych w Przemyśle 4.0 wpływających na zrównoważoną produkcję. Szczególną uwagę zwrócono na tech nologie takie jak: sztuczna inteligencja, uczenie maszynowe, Internet Rzeczy, robotyzacja, technologie chmurowe, druk 3D, oraz techniki wizji maszynowej (m. in. rzeczywistość rozszerzona i wirtualna). Omówiono też wpływ nowych technologii na ochronę środowiska, ekonomię oraz społeczeństwo, bazując na koncepcie Tripple Bottom Line.
EN
This paper tackles possibilities of using modern technologies applied in Industry 4.0 on sustainable production. Discussed technolo gies include: artificial intelligence, machine learning, Internet of Things, robotics, cloud computing, 3D printing and machine vision techniques (including augmented and virtual reality). It also discusses those elements in the context of environment, economy and society.
EN
The main purpose of this paper is a systematic literature review on retrofitting tools, equipment, and infrastructure in the industrial domain. The methods used for the research were a systematic literature review: publication analysis, selection of databases, and appropriate modification of queries in individual databases. Findings were presented using a map of keywords, clusters, and charts. The main result of the conducted research was the identification of the main trends in the retrofitting area. The trends developed within the review can support further research into the direction of retrofitting methods and the factors determining the choice of specific techniques and tools in the digitalisation of manufacturing enterprises.
EN
Purpose: The reason for writing the paper was the strong trend of development of the concept of Industry 4.0. Companies have started their journey to smart manufacturing by applying the key technologies (pillars) of Industry 4.0. A decade has passed since 2011, when the idea of Industry 4.0 emerged as a form of industrial development based on the achievements of the fourth industrial revolution. During this decade, companies have become convinced by the idea of Industry 4.0 and have embarked on projects (investments) that fit into smart manufacturing. The aim of the research was presentation of the key fields of changes in the steel company towards smart manufacturing. Design/methodology/approach: The author used a case study to achieve the research aim. The subject of the research was one of the largest steel companies, which has a strong position in the global steel market. The presented areas of change of the company fit into the scope of changes belonging to smart manufacturing. In the study, following the company's statement, it was assumed that the implemented investments will create "smarter manufacturing" no "smart manufacturing" because their number and scope does not entitle either the company itself or the author of this paper to state that the changes made already at this stage create smart manufacturing in the steel company. Findings: The result of the case study is a model – a general concept – for the introduction of smart manufacturing in an enterprise. The term model was used for popular scientific purposes, as a form of generalisation of the presented scope of changes in the studied enterprise. Research limitations: The author is aware that the company used for the research may not constitute a sufficient area of research to formulate generalisation constructs on its basis, but she points out that the article is a part of a broader research, and the presented fragment of the research was used for the purpose of popularising knowledge on changes taking place in Industry 4.0. Practical implications: The paper promotes smart manufacturing projects in the steel sector. The practical implication of the paper is a proposal for a pathway to build smart manufacturing, which has constructs that are versatile enough to be used to create company pathways in other industry sectors of the economy. Originality/value: The article is part of the very topical theme of Industry 4.0, which has already been popularised to such an extent that it has become a reality and not just a proposal (future) for industrial development under the conditions of the Fourth Industrial Revolution. The paper describes actual projects for building smart manufacturing in the steel company.
EN
Purpose: Authors of the paper develop the main assumptions for project management in the Industry 4.0, and present them in the short form as basic knowledge, useful for managing smart manufacturing (SM) projects in companies. Design/methodology/approach: the process of preparing SM (smart manufacturing) projects and their implementation, in the Fourth Industrial Revolution, have been changed, due to the importance of the issue of linking more and more intelligent machines, IT-computer programs and monitored processes into integrated technological systems of key importance for the construction of cyber-physical production systems (CPS). The paper applies a conceptual analysis of possible areas of change in project management (PM) when enterprises build the smart manufacturing (SM). Findings/conclusions: companies building the smart environment must adapt their organization of project management to the new requirements and opportunities of Industry 4.0 (I 4.0) technologies. Research limitations: the narrow scope of knowledge about the ongoing changesin SM project management is due to the short period of experience (the Industry 4.0 concept has been implemented since 2011), therefore the authors have only presented the framework of changes in organization of project management. Practical implications: the authors' intention was to initiate a practical discussion about the changes in project management in the ongoing industrial revolution. Originality/value: Since 2011, when the government of the Federal Republic of Germany recognized the concept of "Industrie 4.0" as the key strategy of innovative development, Industry 4.0 has become an important discussed topic among practitioners and researchers. The fourth industrial revolution is expected to result in a leap in the efficiency of companies operating in the intelligent technological environment. Key technologies or pillars of Industry 4.0 are implemented in manufacturing enterprises to build the smart manufacturing processes. Enterprises develop new projects and make investments in order to create Cyber-Physical Production Systems (CPPS).
7
Content available remote How can hybrid materials enable a circular economy?
EN
Climate change, critical material shortages and environmental degradation pose an existential threat to the entire world. Immediate action is needed to transform the global economy towards a more circular economy with less intensive use of fossil energy and limited resources and more use of recyclable materials. Recyclable materials and manufacturing techniques will play a critical role in this transformation. Substantial advancements will be needed to achieve a more intelligent materials design to enhance both functionality and enhanced sustainability. The development of hybrid materials combining functionality at macro and nano scales based on organic and inorganic compounds, that are entirely recyclable could be used for tremendous applications. In this mini-review, we provide the reader with recent innovations on hybrid materials for application in water, energy and raw materials sectors. The topic is very modern and after its deep study we propose a creation an international research centre, that would combine the development of hybrid materials with green manufacturing. We have highlighted a framework that would comprise critical themes of the initial research needed. Such a centre would promote sustainable production of materials through intelligent hybridisation and eco-efficient, digital manufacturing and enable a circular economy in the long term. Such activities are strongly supported by current environmental and economical initiatives, like the Green Deal, REPower EU and digital EU initiatives.
8
Content available Leksykon pojęć stosowanych w przemyśle 4.0
PL
Wraz z rozwojem przemysłu, a w szczególności tworzeniem inteligentnych fabryk zbudowanych z inteligentnych systemów cyberfizycznych pojawiło się określenie Przemysł 4.0 jako oznaczenie dla czwartej rewolucji przemysłowej. Siłami napędowymi czwartej rewolucji przemysłowej są infrastruktura IT i Internet, a jej podstawowy element stanowią dane, które należy przetworzyć i zagospodarować. Rozwój inteligentnych systemów produkcyjnych ukierunkowany jest na uzyskanie autonomii poprzez właściwości samokonfiguracji, samokontroli, samonaprawiania i samouczenia się maszyn w ciągu produkcyjnym. W wybranych branżach przemysłu w krajach wysoko rozwiniętych pojawiły się zakłady z nowymi rozwiązaniami organizacji produkcji, z użyciem cyberfizycznych systemów produkcyjnych, przemysłowego Internetu Rzeczy, produkcji opartej na chmurze komputerowej i danych, spersonalizowanych wyrobach i innych rozwiązaniach. Celem artykułu jest prezentacja i opis nowego słownictwa, które najczęściej pojawiają się w odniesieniu do Przemysłu 4.0.
EN
The development of industry and smart factories with cyber-physical systems caused that new term of industry appeared, the term was “Industry 4.0” as a sign for the fourth industrial revolution. The driving forces of the 4th industrial revolution are IT infrastructure and Internet with its basic elements that is data that needs to be processed and managed. The development of smart production is aimed at achieving autonomy through self-configuration, self-control, self-repairing and self-learning of machines using in the production process. In selected industrial sectors in highly-developed countries, there were new plants with new production organization solutions, using cyber-physical production systems, Industrial Internet of Things, cloud computing, Big Data, personalized products and other solutions. The aim of the article is to present and describe the new vocabulary that most often appear in relation to Industry 4.0.
EN
The creation of value in a factory is transforming. The spread of sensors, embedded systems, and the development of the Internet of Things (IoT) creates a multitude of possibilities relating to upcoming Real Time Analytics (RTA) application. However, already the topic of big data had rendered the use of analytical solutions related to a processing in real time. Now, the introduced methods and concepts can be transferred into the industrial area. This paper deals with the topic of the current state of RTA having the objective to identify applied methods. In addition, the paper also includes a classification of these methods and contains an outlook for the use of them within the area of the smart factory.
10
Content available remote PLCnext Technology w obliczu rozwoju IIoT i Przemysłu 4.0
PL
Internet Rzeczy (Internet of Things – IoT) w ostatnich latach szturmem zdobywa rynek rozwiązań IT i odmieniany jest przez wszystkie przypadki.
PL
W dniach 7–12 marca 2017 r. w Tajpej na Tajwanie odbyły się 26. Międzynarodowe Targi Obrabiarek – TIMTOS 2017. Hasłem przewodnim imprezy było „Smart Manufacturing”. Podczas targów odbywały się konferencje prasowe. Można się było zapoznać z ofertą firm produkcyjnych i porozmawiać z kluczowymi postaciami przemysłu maszynowego Tajwanu.
EN
26th Taipei International Machine Tool Show – TIMTOS 2017 was held from 7 to 12 of March 2017. The keynote of this year show was “Smart Manufacturing”. The schedule included press conferences. Visitors were encouraged to get acquainted with the offers from production companies and to speak to the leading persons in Taiwan machinery industry.
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