scholarly journals Alright? - Common Understanding on the Already Applied Industry 4.0 Solutions, Between the Hungarian Beer Industry Suppliers and Multinational Beer Makers

2020 ◽  
Author(s):  
Ilona Papp ◽  
Istvan Pesti-Farkas
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Literature Review ◽  
Industry 4.0 ◽  
Multinational Companies ◽  
Current Situation ◽  
Beer Industry ◽  
Common Understanding

Our paper is aimed to analyze the current situation on the Hungarian beer industry, from the aspect of industry 4.0 understanding within the supply chain, namely between the manufacturers and their suppliers. After a literature review, we had examined the big data, the robotics and the overall digitalization related attitudes and understandings. The key finding is that the multinational companies have to deal with a previously unrecognized problem, namely the prejudices of local suppliers in regards the innovation of industry 4.0 tools.

scholarly journals Supply Chain 4.0 challenges

2020 ◽  
Vol 27 (3) ◽  
Author(s):  
Felipe de Campos Martins ◽  
Alexandre Tadeu Simon ◽  
Renan Stenico de Campos
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Supply Chain ◽  
Internet Of Things ◽  
Literature Review ◽  
Industry 4.0 ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Legal Challenges ◽  
New Industry

Abstract: The Supply Chain has undergone major transformations due to the need to implement new Industry 4.0 technologies, such as Internet of Things, Big Data, Cyber-Physical Systems and Cloud Computing. Thanks to these technologies, as well as to their subsystems and components, full integration of the supply chain is becoming possible. However, it is observed that the real impacts of Industry 4.0 technologies, rather positive or negative, are not yet totally clear and identified. This paper aims to identify and present an analysis of the challenges and obstacles that Industry 4.0 technologies may cause in the Supply Chain. For this, the most relevant papers on the topic were selected and analyzed through a systematic literature review. Twenty challenges grouped into four macrogroups were identified: (1) technical challenges, (2) financial, environmental and legal challenges, (3) technological challenges, and (4) sociocultural challenges. It should be noted that these challenges require greater attention and more in-depth studies on the part of the academy to support industry in order to mitigate them and thus allow better use of the available technological resources and optimize the performance of Supply Chain operations.

scholarly journals From Supply Chain 4.0 to Supply Chain 5.0: Findings from a Systematic Literature Review and Research Directions

Logistics ◽  
2021 ◽  
Vol 5 (3) ◽  
pp. 49
Author(s):  
Guilherme F. Frederico
Keyword(s):  
Supply Chain ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Research Agenda ◽  
Industry 4.0 ◽  
Current Knowledge ◽  
Research Directions ◽  
The Subject ◽  
Strategy Innovation ◽  
Transition Issues

The main purpose of this paper is to present what the Industry 5.0 phenomenon means in the supply chain context. A systematic literature review method was used to get evidence from the current knowledge linked to this theme. The results have evidenced a strong gap related to Industry 5.0 approaches for the supply chain field. Forty-one (41) publications, including conference and journal papers, have been found in the literature. Nineteen (19) words, which were grouped in four (4) clusters, have been identified in the data analysis. This was the basis to form the four (4) constructs of Industry 5.0: Industry Strategy, Innovation and Technologies, Society and Sustainability, and Transition Issues. Then, an alignment with the supply chain context was proposed, being the basis for the incipient Supply Chain 5.0 framework and its research agenda. Industry 5.0 is still in an embryonic and ideal stage. The literature is scarce and many other concepts and discoveries are going to emerge. Although this literature review is based on few available sources, it provides insightful and novel concepts related to Industry 5.0 in the supply chain context. Moreover, it presents a clear set of constructs and a structured research agenda to encourage researchers in deploying further conceptual and empirical works linked to the subject herein explored. Organizations’ leadership, policymakers, and other practitioners involved in supply chains, and mainly those currently working with Industry 4.0 initiatives, can benefit from this research by having clear guidance regarding the dimensions needed to structurally design and implement an Industry 5.0 strategy. This article adds valuable insights to researchers and practitioners, by approaching the newest and revolutionary concept of the Industry 5.0 phenomenon in the supply chain context, which is still an unexplored theme.

Industry 4.0 and Supply Chain Management

2021 ◽  
pp. 192-217
Author(s):  
Pavitra Dhamija ◽  
Monica Bedi ◽  
M.L. Gupta
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Industry 4.0 ◽  
Predictive Analytics ◽  
Statistical Tools ◽  
Chain Management ◽  
Managerial Attention ◽  
Manufacturing Organizations ◽  
Developmental Opportunities

The association of Industry 4.0 and supply chain management assures tremendous growth and developmental opportunities towards manufacturing organizations. The two aspects (Industry 4.0 and supply chain management) are one of the most opted choices for research among academicians and researchers. The study in question accommodates 884 papers from past 10 years, which contributes towards Industry 4.0, supply chain management, cyber-physical systems, digitization, Internet of Things, and Big Data predictive analytics. The statistical tools include BibExcel and Gephi for bibliometric and network analysis. The results are presented in the form of top contributing authors, keywords, and citations. The article also shares a conceptual model based on the review of studies. The findings will help managers or officials to understand the importance of Industry 4.0 and its association with supply chain management. The formed clusters and their associations are providing new areas that require managerial attention. The article ends while discussing the current and future scope of research.

Industry 4.0 and Big Data Literature Review

2020 ◽  
pp. 385-406
Author(s):  
Burcu OZCAN ◽  
Cevher HİLAL AYTAC
Keyword(s):  
Big Data ◽  
Literature Review ◽  
Industry 4.0

scholarly journals Training institutes and training in official statistics in Africa: An overview

2021 ◽  
Vol 37 (3) ◽  
pp. 835-851
Author(s):  
Hugues Kouassi Kouadio
Keyword(s):  
Big Data ◽  
Literature Review ◽  
Current Situation ◽  
Official Statistics ◽  
Statistical Literacy ◽  
The Face ◽  
Technological Developments ◽  
Language Areas ◽  
University Training ◽  
And Training

The training offer of official statistics in statistical training institutes has been constantly evolving as it adapts to the statistical environment and technological developments. Based on a literature review and the mobilisation of curricula and programmes offered by statistical training centres in Africa, this paper presents the current situation of training in official statistics as well as the challenges to be faced. Despite harmonisation efforts, there are still differences between language areas and training types. Engineer and vocational statistical training are better suited to the needs of National Statistical Institutes than university training. It is essential that the training of statisticians is strategically thought out so that they can be reactive and dynamic in the face of changes and upheavals they will be confronted with in the context of data revolution and big data. Their training should reinforce the statistical literacy dimension with a view to reducing the gap between producers and users.

scholarly journals BIG DATA IN CLOUD COMPUTING: A LITERATURE REVIEW

2021 ◽  
Vol 5 (11) ◽  
Author(s):  
Neelay Jagani ◽  
Parthil Jagani ◽  
Suril Shah
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Supply Chain ◽  
Literature Review ◽  
Data Storage ◽  
Supply Chain Planning ◽  
Finance Management ◽  
Process Trends

—Big Data and Cloud Computing are two of the most important technologies of the day. Since data is being generated exponentially every day, Big Data has gained a lot of significance in any technology. The daily explosion of data means that it’s better to have big data included in the applications. Whereas cloud computing is allowing users to use platforms according to their time, convenience and affordability. It is providing users ability to collaborate and work efficiently more than ever. Combining these two technologies can give a hands down advantage to the users in terms of knowledge and efficiency. Big Data, when used in cloud computing has applications in different fields such as Finance, Management, supply chain, planning, data storage, warehouses and many more. In this paper, we have discussed Big Data implementation and application in Cloud Computing. 4 V’s in big data can be applied in Cloud computing to get better performance, higher input details, better insights, reliable and secure platforms at comparatively lower costs. Different analytics, technology involved in coupling of big data with cloud computing, the challenges involved in this process, trends applications of the domain and security factors involved are discussed in this paper

Supply chain integration and Industry 4.0: a systematic literature review

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Saurabh Tiwari
Keyword(s):  
Supply Chain ◽  
Literature Review ◽  
Conceptual Framework ◽  
Organizational Performance ◽  
Systematic Literature Review ◽  
Industry 4.0 ◽  
Building Blocks ◽  
Supply Chain Integration ◽  
Extensive Literature ◽  
Content Type

PurposeThe current industrial revolution is powered by data, which is also referred as Industry 4.0. The Industry 4.0 has attracted significant attention from academia and the industry professionals. The supply chain integration (SCI) has played a significant role in enhancing supply chain performance and organizational performance. This study explores the relationship between Industry 4.0 and SCI via an extensive literature review to understand the various levels of integration with the supply chain processes and to identify missing links, through a framework, and suggest further research directions.Design/methodology/approachIn this paper, we have used systematic literature review approach to identify the building blocks of the conceptual framework, which is the main contribution of the present study. We have used Scopus database to search literature using keywords.FindingsThe study offers some interesting insights that may help scholars to advance theoretical debates. Moreover, the study also provides interesting direction to the practitioners engaged in supply chain management in data-driven environment. In this study, we have proposed a conceptual framework for the adoption of Industry 4.0 and SCI.Research limitations/implicationsIn this study we have proposed a conceptual framework. However, the framework is yet to be empirically tested. Hence, we caution readers to evaluate the findings of the present study in context to its limitations. This is an attempt to develop a conceptual framework which may be tested using longitudinal data.Originality/valueThe present work helps in integrating two independent subjects', i.e. Industry 4.0 and SCI. The theoretical framework presented here integrates Industry 4.0 and SCI which can be useful to the practitioners and policymakers engaged in implementing Industry 4.0.

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