Skip to main content
SpringerLink
Log in

Principles and Research Agenda for Sustainable, Data-Driven Food Production Planning and Control

  • Conference paper
  • First Online:
Advances in Production Management Systems. The Path to Digital Transformation and Innovation of Production Management Systems (APMS 2020)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 591))

Abstract

This paper investigates the topics of data, sustainability, and production planning and control in food supply chains from the perspective of industrial food producers. To stay competitive in an industry with low profit margins, strong competition, and sustainability concerns, food producers need new solutions. The capture, digitization, and use of producer and downstream supply chain data enable opportunities for using data in new ways to address the existing challenges. This study proposes some principles for sustainable, data-driven production planning and control (PPC) such as capturing real-time data and tacit knowledge for use in PPC. It then investigates how these principles can impact the sustainability for food producers and the overall supply chain, by giving benefits such as reduced food waste, lower inventory levels, and reduced planning time and effort. Future research topics should address topics such as data availability, use of data in PPC, potential value of data, sustainability trade-offs, and the applications of digital technology in PPC.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Papargyropoulou, E., Lozano, R., Steinberger, J.K., Wright, N., Ujang, Z.B.: The food waste hierarchy as a framework for the management of food surplus and food waste. J. Clean. Prod. 76(C), 106–115 (2014)

    Article  Google Scholar 

  2. Gustavsson, J., Cederberg, C., Sonesson, U., Van Otterdijk, R., Meybeck, A.: Global Food Losses and Food Waste (2011)

    Google Scholar 

  3. Mena, C., Adenso-Diaz, B., Yurt, O.: The causes of food waste in the supplier–retailer interface: evidences from the UK and Spain. Res. Conserv. Recycl. 55(6), 648–658 (2011)

    Article  Google Scholar 

  4. Parfitt, J., Barthel, M., Macnaughton, S.: Food waste within food supply chains: quantification and potential for change to 2050. Philos. Trans. R. Soc. B 365(1554), 3065–3081 (2010)

    Article  Google Scholar 

  5. Priefer, C., Jörissen, J., Bräutigam, K.-R.: Food waste prevention in Europe – a cause-driven approach to identify the most relevant leverage points for action. Res. Conserv. Recycl. 109, 155–165 (2016)

    Article  Google Scholar 

  6. Lee, H.L., So, K.C., Tang, C.S.: The value of information sharing in a two-level supply chain. Manage. Sci. 46(5), 626–643 (2000)

    Article  Google Scholar 

  7. Zhou, H., Benton, W.C.: Supply chain practice and information sharing. J. Oper. Manage. 25(6), 1348–1365 (2007)

    Article  Google Scholar 

  8. Wang, X., Disney, S.M.: The bullwhip effect: progress, trends and directions. Eur. J. Oper. Res. 250(3), 691–701 (2016)

    Article  MathSciNet  Google Scholar 

  9. Fawcett, S.E., Osterhaus, P., Magnan, G.M., Brau, J.C., McCarter, M.W.: Information sharing and supply chain performance: the role of connectivity and willingness. Supply Chain Manage. 12(5), 358–368 (2007)

    Article  Google Scholar 

  10. de Freitas, D.C., de Oliveira, L.G., Alcântara, R.L.C.: A theoretical framework to adopt collaborative initiatives in supply chains. Gest. Prod. 26(3), e4194 (2019)

    Article  Google Scholar 

  11. Fliedner, G.: CPFR: an emerging supply chain tool. Ind. Manage. Data Syst. 103(1), 14–21 (2003)

    Article  Google Scholar 

  12. Wood, A.: Efficient consumer response. Logist. Inf. Manage. 6(4), 38–40 (1993)

    Article  Google Scholar 

  13. Panahifar, F., Heavey, C., Byrne, P.J., Fazlollahtabar, H.: A framework for collaborative planning, forecasting and replenishment (CPFR): state of the art. J. Enterp. Inf. Manage. 28(6), 838–871 (2015)

    Article  Google Scholar 

  14. Kembro, J., Näslund, D.: Information sharing in supply chains, myth or reality? A critical analysis of empirical literature. Int. J. Phys. Distrib. Logist. Manage. 44(3), 179–200 (2014)

    Article  Google Scholar 

  15. Ustundag, A., Cevikcan, E.: Industry 4.0: Managing The Digital Transformation. SSAM. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-57870-5

    Book  Google Scholar 

  16. Oluyisola, O., Sgarbossa, F., Strandhagen, J.O.: Smart production planning and control: concept, use-cases and sustainability implications. Sustainability 12(9), 3791 (2020)

    Article  Google Scholar 

  17. Purvis, B., Mao, Y., Robinson, D.: Three pillars of sustainability: in search of conceptual origins. Sustain. Sci. 14(3), 681–695 (2019)

    Article  Google Scholar 

  18. Zarte, M., Pechmann, A., Nunes, I.L.: Indicator framework for sustainable production planning and controlling. Int. J. Sustain. Eng. 12(3), 149–158 (2019)

    Article  Google Scholar 

  19. Fernández-Macías, E.: Automation, Digitalisation and Platforms: Implications for Work and Employment (2018)

    Google Scholar 

  20. Romsdal, A.: Differentiated production planning and control in food supply chains. Doctoral thesis at Norwegian University of Technology and Science (NTNU), 2012:16 (2014)

    Google Scholar 

  21. Chopra, S.: Supply Chain Management: Strategy, Planning, and Operation. Pearson, Harlow (2016)

    Google Scholar 

  22. Vollmann, T.E.: Manufacturing Planning and Control for Supply Chain Management (2005)

    Google Scholar 

  23. Strandhagen, J., Dreyer, H.C., Romsdal, A.: Control model for intelligent and demand-driven supply chains. In: Managing Global Supply Chain Relationships: Operations, Strategies and Practices, pp. 49–70. IGI Global (2011)

    Google Scholar 

  24. Garetti, M., Taisch, M.: Neural networks in production planning and control. Prod. Plan. Control 10(4), 324–339 (1999)

    Article  Google Scholar 

  25. Brintrup, A., Pak, J., Ratiney, D., Pearce, T., Wichmann, P., Woodall, P., McFarlane, D.: Supply chain data analytics for predicting supplier disruptions: a case study in complex asset manufacturing. Int. J. Prod. Res. 58(11), 3330–3341 (2019)

    Article  Google Scholar 

  26. Strandhagen, J.O., Vallandingham, L.R., Fragapane, G., Strandhagen, J.W., Stangeland, A.B.H., Sharma, N.: Logistics 4.0 and emerging sustainable business models. Adv. Manuf. 5(4), 359–369 (2017)

    Article  Google Scholar 

  27. Kiil, K.: Aligning Supply and Demand in Grocery Retailing. Norwegian University of Science and Technology, Trondheim (2017)

    Google Scholar 

Download references

Acknowledgement

The research presented in this paper was conducted in collaboration with the DigiMat project, with financial support from NTNU, the participating companies and the Research Council of Norway.

Author information

Authors and Affiliations

  1. Norwegian University of Science and Technology, 7491, Trondheim, Norway

    Maggie Bresler, Anita Romsdal, Jan Ola Strandhagen & Olumide E. Oluyisola

Authors
  1. Maggie Bresler
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Anita Romsdal
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jan Ola Strandhagen
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Olumide E. Oluyisola
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Maggie Bresler .

Editor information

Editors and Affiliations

  1. University of Novi Sad, Novi Sad, Serbia

    Bojan Lalic

  2. University of Belgrade, Belgrade, Serbia

    Vidosav Majstorovic

  3. University of Novi Sad, Novi Sad, Serbia

    Ugljesa Marjanovic

  4. ZF Hungária Kft., Eger, Hungary

    Gregor von Cieminski

  5. Tecnológico de Monterrey, Mexico City, Mexico

    David Romero

Rights and permissions

Reprints and permissions

Copyright information

© 2020 IFIP International Federation for Information Processing

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Bresler, M., Romsdal, A., Strandhagen, J.O., Oluyisola, O.E. (2020). Principles and Research Agenda for Sustainable, Data-Driven Food Production Planning and Control. In: Lalic, B., Majstorovic, V., Marjanovic, U., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. The Path to Digital Transformation and Innovation of Production Management Systems. APMS 2020. IFIP Advances in Information and Communication Technology, vol 591. Springer, Cham. https://doi.org/10.1007/978-3-030-57993-7_72

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-57993-7_72

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-57992-0

  • Online ISBN: 978-3-030-57993-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Societies and partnerships

Search

Navigation