Skip to main content
Springer Nature Link
Log in

Optimizing Facility Location for Insect Production

  • Conference paper
  • First Online:
Optimization, Learning Algorithms and Applications (OL2A 2024)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 2281))

  • 113 Accesses

Abstract

Food waste poses a significant challenge to the sustainability of traditional food production systems, prompting global efforts to combat waste throughout the supply chain. Sustainable food production emerges as a critical concept in response to increasing concerns about environmental degradation and the need for alternative protein sources driven by global population growth. In this context, insect production offers a promising solution by converting low-value organic waste into nutrient-rich products, thus reducing waste and environmental impact.

This paper addresses the urgent need for sustainable and efficient food production systems by introducing a facility location problem within the network design of insect production. The objective is to develop methods to scale insect-derived product production by identifying optimal locations with the best conditions for establishing insect production facilities. Emphasis is placed on connecting suppliers with production, highlighting the critical role suppliers and their by-products play in promoting a sustainable industry.

Instances were generated to assess model performance, including supplier and facility locations, by-product availability and selection. Varying by-product availability yielded different optimization outcomes. The experiments results offered insights into the model’s behavior under different conditions. The results shown that varying the composition of substrate had a major implication on the augment of costs compared to varying the by-product availability.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. An, H.C., Singh, M., Svensson, O.: LP-based algorithms for capacitated facility location. In: 2014 IEEE 55th Annual Symposium on Foundations of Computer Science. IEEE (2014). https://doi.org/10.1109/focs.2014.35

  2. An, H.C., Singh, M., Svensson, O.: LP-based algorithms for capacitated facility location. SIAM J. Comput. 46(1), 272–306 (2017). https://doi.org/10.1137/151002320

  3. Ankrah, R., Lacroix, B., Mccall, J., Hardwick, A., Conway, A.: A holistic metric approach to solving the dynamic location-allocation problem. In: Lecture Notes in Computer Science. Springer (2018). https://doi.org/10.1007/978-3-030-04191-5_35

  4. Carlo, H.J., Aldarondo, F., Saavedra, P.M., Torres, S.N.: Capacitated continuous facility location problem with unknown number of facilities. Eng. Manag. J. 24(3), 24–31 (2012). https://doi.org/10.1080/10429247.2012.11431944

  5. Daskin, M.S.: Network and Discrete Localisation: Models, Algorithms and Applications, 2nd edn. Wiley, Hoboken (2013)

    Google Scholar 

  6. Duarte, C.T.T., Sacomano, J.B., Macêdo, J.L., Cavalcante, É.T.D., Carvalho, L.A.D.S.: Office location, a strategy for legal logistics. In: IFIP Advances in Information and Communication Technology, pp. 493–500. Springer (2016). https://doi.org/10.1007/978-3-319-51133-7_59

  7. European Environmental Bureau (EEB): Statement on EU legally binding targets to reduce food waste (2022). https://eeb.org/wp-content/uploads/2022/09/Statement-on-EU-legally-binding-targets-to-reduce-food-waste-Sept-2022.pdf

  8. Farahani, R.Z., Hekmatfar, M.: Facility Location. Contributions to Management Science (2009). https://doi.org/10.1007/978-3-7908-2151-2

  9. Ites, S., Smetana, S., Toepfl, S., Heinz, V.: Modularity of insect production and processing as a path to efficient and sustainable food waste treatment. J. Clean. Prod. 248, 119248 (2020). https://doi.org/10.1016/j.jclepro.2019.119248

  10. Krajeewski, L., Ritzman, L., Malhotra, M.: Administração de Produção e Operações, 8th edn. Pearson, São Paulo (2009)

    Google Scholar 

  11. Lucas, M.T., Chhajed, D.: Applications of location analysis in agriculture: a survey. J. Oper. Res. Soc. 55(6), 561–578 (2004). https://doi.org/10.1057/palgrave.jors.2601731

  12. Madau, F.A., Arru, B., Furesi, R., Pulina, P.: Insect farming for feed and food production from a circular business model perspective. Sustainability 12(13) (2020). https://doi.org/10.3390/su12135418

  13. Mazzola, J.B., Neebe, A.W.: Lagrangian-relaxation-based solution procedures for a multiproduct capacitated facility location problem with choice of facility type. Eur. J. Oper. Res. 115(2), 285–299 (1999). https://doi.org/10.1016/S0377-2217(98)00303-8

    Article  Google Scholar 

  14. Miandoabchi, E., Farahani, R.Z.: Optimizing reserve capacity of urban road networks in a discrete network design problem. Adv. Eng. Softw. 42(12), 1041–1150 (2011). https://doi.org/10.1016/j.advengsoft.2011.07.005

  15. Mouhrim, N., et al.: Towards multi-objective optimization of sustainable insect production chains. In: Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO 2022, pp. 352–355. Association for Computing Machinery, New York (2022). https://doi.org/10.1145/3520304.3528898

  16. Ojha, S., Bußler, S., Schlüter, O.K.: Food waste valorisation and circular economy concepts in insect production and processing. Waste Manag. 118, 600–609 (2020). https://doi.org/10.1016/j.wasman.2020.09.010

  17. ReVelle, C.S., Eiselt, H.A.: Location analysis: a synthesis and survey. Eur. J. Oper. Res. 165(1), 1–19 (2005). https://doi.org/10.1016/j.ejor.2003.11.032

    Article  MathSciNet  Google Scholar 

  18. Riesenegger, L., Santos, M.J., Ostermeier, M., Martins, S., Amorim, P., Hübner, A.: Minimizing food waste in grocery store operations: literature review and research agenda. Sustain. Anal. Model. 3, 100023 (2023). https://doi.org/10.1016/j.samod.2023.100023

  19. Solomon, M.M.: Algorithms for the vehicle routing and scheduling problems with time window constraints. VRPTW REFERENCE PROBLEMS (1987). http://web.cba.neu.edu/~msolomon/problems.htm. Accessed 30 Apr 2024

Download references

Acknowledgments

This work has been supported by national funds through FCT - Fundação para a Ciência e Tecnologia through project UIDB/04728/2020. This work is co-financed by Component 5 - Capitalization and Business Innovation, integrated in the Resilience Dimension of the Recovery and Resilience Plan within the scope of the Recovery and Resilience Mechanism (MRR) of the European Union (EU), framed in the Next Generation EU, for the period 2021–2026, within project InsectERA, with reference 20.

Author information

Authors and Affiliations

  1. Center for Research and Innovation in Business Sciences and Information Systems (CIICESI), ESTG, Polytechnic of Porto, 4610-156, Felgueiras, Portugal

    Rúben Pereira & Sara Martins

  2. INESC TEC, 4200-465, Porto, Portugal

    Rúben Pereira, Maria João Santos & Sara Martins

Authors
  1. Rúben Pereira
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Maria João Santos
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Sara Martins
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Rúben Pereira or Sara Martins .

Editor information

Editors and Affiliations

  1. Instituto Politécnico de Bragança, Bragança, Portugal

    Ana I. Pereira

  2. Instituto Politécnico de Bragança, Bragança, Portugal

    Florbela P. Fernandes

  3. Instituto Politécnico de Bragança, Bragança, Portugal

    João P. Coelho

  4. Instituto Politécnico de Bragança, Bragança, Portugal

    João P. Teixeira

  5. Department of Electrical Engineering, Instituto Politécnico de Bragança, Bragança, Portugal

    José Lima

  6. Instituto Politécnico de Bragança, Bragança, Portugal

    Maria F. Pacheco

  7. Instituto Politécnico de Bragança, Bragança, Portugal

    Rui P. Lopes

  8. Universidad de La Laguna, San Cristóbal de La Laguna, Spain

    Santiago T. Álvarez

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Pereira, R., Santos, M.J., Martins, S. (2024). Optimizing Facility Location for Insect Production. In: Pereira, A.I., et al. Optimization, Learning Algorithms and Applications. OL2A 2024. Communications in Computer and Information Science, vol 2281. Springer, Cham. https://doi.org/10.1007/978-3-031-77432-4_12

Download citation

Publish with us

Policies and ethics

Search

Navigation