This research aims to study the pre-pandemic and pandemic-period Industry 4.0 and Industry 5.0 characteristics in SME research using scientometrics and systematic review using the PRISMA 2020 approach. A total of 691 articles were found in SCOPUS database using keywords (("Industry 4.0" OR...

1. Introduction -- 2. Literature Review -- 3. Digital transformation and progress in Supply Network -- 4. Supply Network 5.0 -- 5. Business model analysis of Supply Network 5.0 -- 6. Some case studies -- 7. Conclusions -- 8. Main Findings.

Background: Complexity of the digital transformation (Digital Transformation) paradigm and its relation to the fourth technological revolution face companies with serious challenges when it comes to keeping up with the competition or becoming a leader in operating industries. Objectives: The...

Business operations are undergoing drastic changes due to the disruptive effects of technology innovations; however, there is insufficient knowledge regarding the acceptability and consequences of the fourth industrial revolution (4IR) in the education sector. Using the Unified Theory of...

Using the entire population of USPTO patent applications published between 2002 and 2019, and leveraging on both patent classification and semantic analysis, this paper aims to map the current knowledge base centred on robotics and AI technologies. These technologies are investigated both as a...

The development and application of advanced manufacturing technologies (known as Industry 4.0) have been enabled by the fast-paced process of digital transformation. These transformations are expected to have major implications on the reorganisation of global value chains as well as on labour...

Industry 4.0 - also known as the modern industrial revolution-nurtures close collaboration between various organizations so that they can come together for innovation. While aiming for digital transformation through such innovation, these organizations form certain interdependencies due to the...

Purpose: Industry 4.0 technologies significantly impact how production is planned, scheduled, and controlled. Literature provides different classifications of the tasks and functions of production planning and control (PPC) like the German Aachen PPC model. This research aims to identify and...

Purpose: Developments in Industry 4.0 technologies and Artificial Intelligence (AI) have enabled data-driven manufacturing. Predictive maintenance (PdM) has therefore become the prominent approach for fault detection and diagnosis (FD/D) of induction motors (IMs). The maintenance and early FD/D...

Using the entire population of USPTO patent applications published between 2002 and 2019, and leveraging on both patent classification and semantic analysis, this paper aims to map the current knowledge base centred on robotics and AI technologies. These technologies are investigated both as a...

Bei der vorliegenden Studie handelt es sich um eine Folgebefragung, die nach 2016 zum zweiten Mal den Digitalisierungsgrad von Unternehmen im Verarbeitenden Gewerbe untersucht. Unsere Ergebnisse zeigen, dass die Bedeutung der Digitalisierung in den letzten fünf Jahren deutlich zugenommen hat....

The increasing trend toward digitalization in logistics poses a significant managerial challenge, particularly by fundamentally changing the traditional, manual workplaces in intralogistics. Although intralogistics processes have, in some cases, already been automated or are supported by smart...

This paper studies the competitive landscape in the developing Industry 4.0 ecosystem. Technology development and convergence within the ICT field has led to increased significance of technology platforms and ecosystems organizing around them. The question about the lead integrator, who will...

The development of Industry 4.0 technologies creates leeway for the digital transformation of manufacturing companies, whose business models increasingly rely on software and data-based services. While several studies emphasise that manufacturing has no choice but to follow this transformation,...

This volume contains research contributions by an international group of authors addressing innovative and technology-based approaches for logistics and supply chain management. They present opportunities for enhancing resilience and sustainability as well as recent approaches for supply chain...

Purpose: Through increasing individualization, volatile market demands or shorter product and innovation cycles, existing assembly systems in the automotive industry reach their limits. Different approaches are designed to address the need for adaptable systems. The Fluid Manufacturing System...

Purpose: Established approaches to supply chain management are increasingly being challenged due to disruptive events that neglect the dynamics and interdependencies of supply chains. Supply ecosystems form a new theoretical view of the supply chain that is more in line with systemic thinking,...

Purpose: The automation of picking is still a challenge as a high amount of flexibility is needed to handle different articles according to their requirements. Enabling robot picking in a dynamic warehouse environment consequently requires a sophisticated object detection system capable of...

Purpose: Our research emphasizes the importance of considering outliers in production logistics tasks. With a growing amount of data, we require data mining to cope with these tasks. We underline that the widespread exclusion of outliers in data pre-processing for data mining leads to a loss of...

The so-called “Fourth Industrial revolution”, also termed as “Industry 4.0” in the wider literature, is associated with several cutting-edge technologies. Indicative examples in this category are advanced applications like Artificial Intelligence (AI), Big Data Analytics (BDA), Cloud...