IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i6p3343-d519452.html
   My bibliography  Save this article

An Internet of Things Approach for Water Efficiency: A Case Study of the Beverage Factory

Author

Listed:
  • Sandeep Jagtap

    (Sustainable Manufacturing Systems Centre, School of Aeronautical, Transport, and Manufacturing, Cranfield University, Cranfield MK43 0AL, UK)

  • George Skouteris

    (Institute of Fluid Dynamics, Helmholtz-Zentrum Dresden-Rossendorf, Bautzner Landstrasse 400, 01328 Dresden, Germany)

  • Vilendra Choudhari

    (Jubilant FoodWorks Limited, Greater Noida 201 308, India)

  • Shahin Rahimifard

    (Centre for SMART, Loughborough University, Loughborough LE11 3TU, UK)

  • Linh Nguyen Khanh Duong

    (National Centre for Food Manufacturing, University of Lincoln, Holbeach PE12 7PT, UK)

Abstract

There is a lack of knowledge among food manufacturers about adopting the Internet of Things (IoT)-based water monitoring system and its ability to support water minimisation activities. It is therefore necessary to investigate the applicability of IoT-based real-time water monitoring systems in a real food manufacturing environment to pursue water-saving opportunities accordingly. This article aims to propose an architecture of an IoT-based water-monitoring system needed for real-time monitoring of water usage, and address any water inefficiencies within food manufacturing. This article looks at a study conducted in a food beverage factory where an IoT-based real-time water monitoring system is implemented to analyse the complete water usage in order to devise solutions and address water overconsumption/wastage during the manufacturing process. The successful implementation of an IoT-based real-time water monitoring system offered the beverage factory a detailed analysis of the water consumption and insights into the water hotspots that needed attention. This action initiated several water-saving project opportunities, which contributed to the improvement of water sustainability and led to an 11% reduction in the beverage factory’s daily water usage.

Suggested Citation

  • Sandeep Jagtap & George Skouteris & Vilendra Choudhari & Shahin Rahimifard & Linh Nguyen Khanh Duong, 2021. "An Internet of Things Approach for Water Efficiency: A Case Study of the Beverage Factory," Sustainability, MDPI, vol. 13(6), pages 1-10, March.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:6:p:3343-:d:519452
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/6/3343/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/6/3343/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lee, In & Lee, Kyoochun, 2015. "The Internet of Things (IoT): Applications, investments, and challenges for enterprises," Business Horizons, Elsevier, vol. 58(4), pages 431-440.
    2. Hassan Afzaal & Aitazaz A. Farooque & Farhat Abbas & Bishnu Acharya & Travis Esau, 2020. "Precision Irrigation Strategies for Sustainable Water Budgeting of Potato Crop in Prince Edward Island," Sustainability, MDPI, vol. 12(6), pages 1-16, March.
    3. Sandeep Jagtap & Chintan Bhatt & Jaydeep Thik & Shahin Rahimifard, 2019. "Monitoring Potato Waste in Food Manufacturing Using Image Processing and Internet of Things Approach," Sustainability, MDPI, vol. 11(11), pages 1-12, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yan Liu & Chao Shang, 2022. "Application of Blockchain Technology in Agricultural Water Rights Trade Management," Sustainability, MDPI, vol. 14(12), pages 1-10, June.
    2. Jorge Alejandro Silva, 2022. "Implementation and Integration of Sustainability in the Water Industry: A Systematic Literature Review," Sustainability, MDPI, vol. 14(23), pages 1-28, November.
    3. Fabio Gaetano Santeramo & Emilia Lamonaca, 2021. "Food Loss–Food Waste–Food Security: A New Research Agenda," Sustainability, MDPI, vol. 13(9), pages 1-7, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Leonel Jorge Ribeiro Nunes & Radu Godina & João Carlos de Oliveira Matias, 2019. "Technological Innovation in Biomass Energy for the Sustainable Growth of Textile Industry," Sustainability, MDPI, vol. 11(2), pages 1-12, January.
    2. Nino Paresashvili & Maia Nikvashvili, 2019. "Career Management Peculiarities in Educational Institutions," European Journal of Economics and Business Studies Articles, Revistia Research and Publishing, vol. 5, January -.
    3. Athanasios Tsipis & Asterios Papamichail & Ioannis Angelis & George Koufoudakis & Georgios Tsoumanis & Konstantinos Oikonomou, 2020. "An Alertness-Adjustable Cloud/Fog IoT Solution for Timely Environmental Monitoring Based on Wildfire Risk Forecasting," Energies, MDPI, vol. 13(14), pages 1-35, July.
    4. Bent Flyvbjerg & Alexander Budzier & Jong Seok Lee & Mark Keil & Daniel Lunn & Dirk W. Bester, 2022. "The Empirical Reality of IT Project Cost Overruns: Discovering A Power-Law Distribution," Papers 2210.01573, arXiv.org.
    5. Chae, Bongsug (Kevin), 2018. "The Internet of Things (IoT): A Survey of Topics and Trends using Twitter Data and Topic Modeling," 22nd ITS Biennial Conference, Seoul 2018. Beyond the boundaries: Challenges for business, policy and society 190376, International Telecommunications Society (ITS).
    6. Bettina Freitag & Lukas Häfner & Verena Pfeuffer & Jochen Übelhör, 2020. "Evaluating investments in flexible on-demand production capacity: a real options approach," Business Research, Springer;German Academic Association for Business Research, vol. 13(1), pages 133-161, April.
    7. Akhtar, Pervaiz & Khan, Zaheer & Tarba, Shlomo & Jayawickrama, Uchitha, 2018. "The Internet of Things, dynamic data and information processing capabilities, and operational agility," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 307-316.
    8. Li, Ying & Dai, Jing & Cui, Li, 2020. "The impact of digital technologies on economic and environmental performance in the context of industry 4.0: A moderated mediation model," International Journal of Production Economics, Elsevier, vol. 229(C).
    9. Osterrieder, Philipp & Budde, Lukas & Friedli, Thomas, 2020. "The smart factory as a key construct of industry 4.0: A systematic literature review," International Journal of Production Economics, Elsevier, vol. 221(C).
    10. Elias G. Carayannis & David F. J. Campbell, 2021. "Democracy of Climate and Climate for Democracy: the Evolution of Quadruple and Quintuple Helix Innovation Systems," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(4), pages 2050-2082, December.
    11. Kumar, V. & Ramachandran, Divya & Kumar, Binay, 2021. "Influence of new-age technologies on marketing: A research agenda," Journal of Business Research, Elsevier, vol. 125(C), pages 864-877.
    12. Rasha Allam & Hesham Dinana, 2021. "The Future of TV and Online Video Platforms: A Study on Predictors of Use and Interaction with Content in the Egyptian Evolving Telecomm, Media & Entertainment Industries," SAGE Open, , vol. 11(3), pages 21582440211, August.
    13. Madhukar Patil & M. Suresh, 2019. "Modelling the Enablers of Workforce Agility in IoT Projects: A TISM Approach," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 20(2), pages 157-175, June.
    14. Abdel Ghafar, Ahmed Ismail & Vazquez Castro, Ágeles & Essam Khedr, Mohamed, 2019. "Multidimensional Self-Organizing Chord-Based Networking for Internet of Things," 2nd Europe – Middle East – North African Regional ITS Conference, Aswan 2019: Leveraging Technologies For Growth 201736, International Telecommunications Society (ITS).
    15. Vasja Roblek & Maja Meško & Alojz Krapež, 2016. "A Complex View of Industry 4.0," SAGE Open, , vol. 6(2), pages 21582440166, June.
    16. Artur Pollak & Agata Hilarowicz & Maciej Walczak & Damian Gąsiorek, 2020. "A Framework of Action for Implementation of Industry 4.0. an Empirically Based Research," Sustainability, MDPI, vol. 12(14), pages 1-16, July.
    17. Ardito, Lorenzo & D'Adda, Diego & Messeni Petruzzelli, Antonio, 2018. "Mapping innovation dynamics in the Internet of Things domain: Evidence from patent analysis," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 317-330.
    18. Roberto Casado-Vara & Angel Martín del Rey & Ricardo S. Alonso & Saber Trabelsi & Juan M. Corchado, 2020. "A New Stability Criterion for IoT Systems in Smart Buildings: Temperature Case Study," Mathematics, MDPI, vol. 8(9), pages 1-13, August.
    19. Mohamed Kais Msakni & Anders Risan & Peter Schütz, 2023. "Using machine learning prediction models for quality control: a case study from the automotive industry," Computational Management Science, Springer, vol. 20(1), pages 1-28, December.
    20. Lee, In & Shin, Yong Jae, 2018. "Fintech: Ecosystem, business models, investment decisions, and challenges," Business Horizons, Elsevier, vol. 61(1), pages 35-46.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:6:p:3343-:d:519452. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.