The Industry 4.0 revolution and the future of Manufacturing Execution Systems (MES)
By Francisco Almada-Lobo. 2016
600 citations recorded by the source corpus.
Industry 4.0 dictates the end of traditional centralized applications for production control. Its vision of ecosystems of smart factories with intelligent and autonomous shop-floor entities is inherently decentralized. Responding to customer demands for tailored products, these plants fueled by technology enablers such as 3D printing, Internet of Things, Cloud computing, Mobile Devices and Big Data, among others create a totally new environment. The manufacturing systems of the future, including manufacturing execution systems (MES) will have to be built to support this paradigm shift.
Subfields: Industrial and Manufacturing Engineering, Management of Technology and Innovation
View Paper: https://www.semanticscholar.org/paper/4971b67e293193c09f9480932f952bc497d92d94
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In Industrial and Manufacturing Engineering
In Management of Technology and Innovation
Citations in the corpus
- A Complex View of Industry 4.0 (2016, background): “Industry 4.0 is on the way and will have an important influence on the complete transformation of industry because it represents progress on three points (Almada-Lobo, 2016; Schlechtendahl, Keinert, Kretschmer, Lechler, & Verl, 2015): 1.”
- A Survey on Information and Communication Technologies for Industry 4.0: State-of-the-Art, Taxonomies, Perspectives, and Challenges (2019, background): “Moreover it is the technology of choice for achieving (logical) decentralization of manufacturing execution and planning systems [32], and for allowing seamless introduction of human intellectual”
- The link between Industry 4.0 and lean manufacturing: mapping current research and establishing a research agenda (2018, unknown): “0 (Almada-Lobo 2016). With promises of manufacturing customised products at the same cost as mass production (Wang 2016), Industry 4.0 has gained significant popularity in both academia and in the industrial sector; companies worldwide are investing considerable sums into investigating how they can ”
- Industry 4.0 and Health: Internet of Things, Big Data, and Cloud Computing for Healthcare 4.0 (2020, background): “tion of manufacturing execution and planning systems [148], and for allowing seamless introduction of human intellectual work where and when needed (e.”
- Industry 4.0: national and regional comparative advantages in key enabling technologies (2018, background): “…and organisational challenges faced by enterprises are studied and these are related to how firms need to adapt their business models and approaches to strategy and analysis, planning and implementation, cooperation and networks, as well as human resources (Almada-Lobo, 2015; Schneider, 2018).”
- Industry 4.0: How it is defined from a sociotechnical perspective and how much sustainability it includes – A literature review (2020, background): “The Internet of Services is described as one very relevant feature of Industry 4.0 (Almada-Lobo, 2016).”
- Big Data Analytics Capabilities and Innovation: The Mediating Role of Dynamic Capabilities and Moderating Effect of the Environment (2019, unknown): “Others utilize these capabilities for moving towards smart manufacturing in the industry 4.0 paradigm which builds on cyber-physical systems that enable faster, more flexible, and more efficient processes to produce higher-quality goods (Almada-Lobo, 2016).”