Top

Published in:

2023 | OriginalPaper | Chapter

Industrial Applications of the Internet of Things

Author : Gerta Kapllani

Published in: Global Challenges for a Sustainable Society

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

In the age of Industry 4.0, a substantial concern for modern manufacturing organizations in optimizing production processes under an Internet of Things (IoT) framework is noted. Moreover, given the significant volume of production, energy efficiency is an inevitable issue. To a great extent, improving production performance depends on the development of new technologies. As a result, this research targets to conduct a research review for the implementation of industry 4.0 technologies in continuous manufacturing. While there is a significant amount of research on batch manufacturing and industry 4.0, continuous manufacturing is less addressed in these scientific works. In an attempt to fill this gap, we try to understand the transition from batch processing manufacturing to continuous processing manufacturing within certain industries, emphasizing the benefits of industry 4.0 relevant to the industry and sustainability. Another crucial part of this study is identifying open issues and challenges of industry 4.0 infrastructure in continuous manufacturing. For such reason, we developed two research questions that we will try to answer during this work. The first one is which are the technologies being implemented as part of industry 4.0 in continuous manufacturing and the second one, does the implementation of such technologies in continuous manufacturing led to energy efficiency improvement.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

previous chapter Improving Sustainability in Industrial Plant Construction-Available Tools and Methods

next chapter Introduction of Integrated Resource Management for Sustainable Development of Industries

Papakostas, N., O’Connor, J., Byrne, G.: Internet of Things Technologies in manufacturing: application areas, challenges and outlook (2016). https://doi.org/10.1109/i-Society.2016.7854194

Zhang, Y., Ma, S., Yang, H., Lv, J., Liu, Y.: A big data driven analytical framework for energy-intensive manufacturing industries. J. Clean. Prod. 197, 57–72 (2018). https://doi.org/10.1016/j.jclepro.2018.06.170CrossRef

Chavan, R., Thipparaboina, R., Yadav, B., Shastri, N.: Continuous manufacturing of co-crystals: challenges and prospects. Drug Deliv. Transl. Res. 8 (2018). https://doi.org/10.1007/s13346-018-0479-7

Fore, S., Mbohwa, C.: Greening manufacturing practices in a continuous process industry: case study of a cement manufacturing company. J. Eng. Des. Technol. 13, 94–122 (2015). https://doi.org/10.1108/JEDT-04-2014-0019CrossRef

Page, M.J., et al.: The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ n71 (2021). https://doi.org/10.1136/bmj.n71

Elsevier | An Information Analytics Business. https://www.elsevier.com/. Accessed 03 Oct 2022

Nagy, B., Galata, D.L., Farkas, A., Nagy, Z.K.: Application of artificial neural networks in the process analytical technology of pharmaceutical manufacturing—a review. AAPS J. 24(4) (2022). https://doi.org/10.1208/s12248-022-00706-0

Hengelbrock, A., et al.: Digital twin for HIV-Gag VLP production in HEK293 cells. Processes 10(5) (2022). https://doi.org/10.3390/pr10050866

Sharma, A., Khamar, D., Cullen, S., Hayden, A., Hughes, H.: Innovative drying technologies for biopharmaceuticals. Int. J. Pharm. 609 (2021). https://doi.org/10.1016/j.ijpharm.2021.121115

10.

Domokos, A., Nagy, B., Szilágyi, B., Marosi, G., Nagy, Z.K.: Integrated continuous pharmaceutical technologies—a review. Org. Process Res. Dev. 25(4), 721–739 (2021). https://doi.org/10.1021/acs.oprd.0c00504CrossRef

11.

Ley, S.V., Chen, Y., Robinson, A., Otter, B., Godineau, E., Battilocchio, C.: A comment on continuous flow technologies within the agrochemical industry. Org. Process Res. Dev. 25(4), 713–720 (2021). https://doi.org/10.1021/acs.oprd.0c00534CrossRef

12.

Sagmeister, P., et al.: Advanced real-time process analytics for multistep synthesis in continuous flow**. Angew. Chem. Int. Ed. 60(15), 8139–8148 (2021). https://doi.org/10.1002/anie.202016007CrossRef

13.

Vetter, F.L., Zobel-Roos, S., Strube, J.: Pat for continuous chromatography integrated into continuous manufacturing of biologics towards autonomous operation. Processes 9(3) (2021). https://doi.org/10.3390/pr9030472

14.

Maruthamuthu, M.K., Rudge, S.R., Ardekani, A.M., Ladisch, M.R., Verma, M.S.: Process analytical technologies and data analytics for the manufacture of monoclonal antibodies. Trends Biotechnol. 38(10), 1169–1186 (2020). https://doi.org/10.1016/j.tibtech.2020.07.004CrossRef

15.

Kender, R., et al.: Improving the load flexibility of industrial air separation units using a pressure-driven digital twin. AIChE J. 68(7), e17692 (2022). https://doi.org/10.1002/aic.17692CrossRef

16.

Singh, M., Shirazian, S., Ranade, V., Walker, G.M., Kumar, A.: Challenges and opportunities in modelling wet granulation in pharmaceutical industry—a critical review. Powder Technol. 403 (2022). https://doi.org/10.1016/j.powtec.2022.117380

17.

Nkonyana, T., Sun, Y., Twala, B., Dogo, E.: Performance evaluation of data mining techniques in steel manufacturing industry 35, 623–628 (2019). https://doi.org/10.1016/j.promfg.2019.06.004

18.

Helgers, H., Hengelbrock, A., Schmidt, A., Vetter, F.L., Juckers, A., Strube, J.: Digital twins for scFv production in Escherichia coli. Processes 10(5) (2022). https://doi.org/10.3390/pr10050809

19.

Beke, Á.K., Gyürkés, M., Nagy, Z.K., Marosi, G., Farkas, A.: Digital twin of low dosage continuous powder blending—artificial neural networks and residence time distribution models. Eur. J. Pharm. Biopharm. 169, 64–77 (2021). https://doi.org/10.1016/j.ejpb.2021.09.006CrossRef

20.

Schmidt, A., et al.: Process analytical technology as key-enabler for digital twins in continuous biomanufacturing. J. Chem. Technol. Biotechnol. 97(9), 2336–2346 (2022). https://doi.org/10.1002/jctb.7008CrossRef

21.

Chen, Y., Yang, O., Sampat, C., Bhalode, P., Ramachandran, R., Ierapetritou, M.: Digital twins in pharmaceutical and biopharmaceutical manufacturing: a literature review. Processes 8(9) (2020). https://doi.org/10.3390/pr8091088

22.

Zobel-Roos, S., et al. (2019). Accelerating biologics manufacturing by modeling or: Is approval under the QbD and PAT approaches demanded by authorities acceptable without a digital-twin? Processes 7(2) (2019). https://doi.org/10.3390/pr7020094

23.

Jittawiriyanukoon, C., Srisarkun, V.: Simulation for predictive maintenance using weighted training algorithms in machine learning. Int. J. Electr. Comput. Eng. 12(3), 2839–2846 (2022). https://doi.org/10.11591/ijece.v12i3.pp2839-2846CrossRef

24.

Rohkohl, E., Schönemann, M., Bodrov, Y., Herrmann, C.: A data mining approach for continuous battery cell manufacturing processes from development towards production. Adv. Ind. Manuf. Eng. 4 (2022). https://doi.org/10.1016/j.aime.2022.100078

25.

Jiang, S.-L., Papageorgiou, L.G., Bogle, I.D.L., Charitopoulos, V.M.: Investigating the trade-off between design and operational flexibility in continuous manufacturing of pharmaceutical tablets: a case study of the fluid bed dryer. Processes 10(3) (2022). https://doi.org/10.3390/pr10030454

26.

Ji, C., Sun, W.: A review on data-driven process monitoring methods: characterization and mining of industrial data. Processes 10(2) (2022). https://doi.org/10.3390/pr10020335

27.

Johansson, M.T., Broberg, S., Ottosson, M.: Energy strategies in the pulp and paper industry in Sweden: Interactions between efficient resource utilisation and increased product diversification. J. Clean. Prod. 311 (2021). https://doi.org/10.1016/j.jclepro.2021.127681

28.

Vaccari, M., et al.: Optimally managing chemical plant operations: an example oriented by industry 4.0 paradigms. Ind. Eng. Chem. Res. 60(21), 7853–7867 (2021). https://doi.org/10.1021/acs.iecr.1c00209CrossRef

29.

Kumar, A., Udugama, I.A., Gargalo, C.L., Gernaey, K.V.: Why is batch processing still dominating the biologics landscape? Towards an integrated continuous bioprocessing alternative. Processes 8(12), 1–19 (2020). https://doi.org/10.3390/pr8121641CrossRef

30.

Narciso, D.A.C., Martins, F.G.: Application of machine learning tools for energy efficiency in industry: a review. Energy Rep. 6, 1181–1199 (2020). https://doi.org/10.1016/j.egyr.2020.04.035CrossRef

31.

Savoska, S., Ristevski, B.: Towards implementation of big data concepts in a pharmaceutical company. Open Comput. Sci. 10(1), 343–356 (2020). https://doi.org/10.1515/comp-2020-0201CrossRef

32.

Shen, K., David, J., De Pessemier, T., Martens, L., Joseph, W.: An efficient genetic method for multi-objective continuous production scheduling in Industrial Internet of Things 2019, 1119–1126 (2019). https://doi.org/10.1109/ETFA.2019.8869049

33.

From batch to continuous tablet manufacturing: a control perspective—ScienceDirect. https://www.sciencedirect.com/science/article/pii/S2405896321017213. Accessed 04 Oct 2022

Title: Industrial Applications of the Internet of Things
Author: Gerta Kapllani
Publisher: Springer International Publishing
Book: Global Challenges for a Sustainable Society
Print ISBN: 978-3-031-25839-8

Electronic ISBN: 978-3-031-25840-4

Copyright Year: 2023
DOI: https://doi.org/10.1007/978-3-031-25840-4_22

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"