IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i12p3383-d241069.html
   My bibliography  Save this article

A Methodology to Assess the Suitability of Food Processing Technologies for Distributed Localised Manufacturing

Author

Listed:
  • Pedro Gimenez-Escalante

    (Centre for Sustainable Manufacturing and Recycling Technologies SMART, Wolfson School of Mechanical Electrical and Manufacturing Engineering, Loughborough University, Loughborough LE11 3TU, UK)

  • Shahin Rahimifard

    (Centre for Sustainable Manufacturing and Recycling Technologies SMART, Wolfson School of Mechanical Electrical and Manufacturing Engineering, Loughborough University, Loughborough LE11 3TU, UK)

Abstract

Food processing technology research and development activities have historically been driven by large-scale manufacture upscaling drivers to profit from economies of scale. Increasing demand for high-quality food with pioneering texture profiles, consumer needs for personalised products impacting product formulation (i.e., fat, sugar and micronutrient content), and constrained availability of ingredients and resources are pressuring industrialists to utilise alternative technologies to enable a more sustainable food supply. Distributed and localised food manufacturing (DLM) has been identified as a promising strategy towards future sustainable systems with technology representing one of its cornerstones. Innovative methods and tools to support the selection of the best alternative technologies for DLM are required. This paper provides an overview of food processing technologies and includes a novel classification created to support future assessments. A novel qualitative assessment method encompassing multiple criteria to understand specific food technologies suitability for future DLM systems is presented. Finally, research benefits are explored through the application of the assessment method to several selected technologies with promising potential in future food manufacturing. The results demonstrate that this methodological approach can assist in the adoption of DLM food systems through the selection of the best technologies integrating individual manufacturer requirements.

Suggested Citation

  • Pedro Gimenez-Escalante & Shahin Rahimifard, 2019. "A Methodology to Assess the Suitability of Food Processing Technologies for Distributed Localised Manufacturing," Sustainability, MDPI, vol. 11(12), pages 1-19, June.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:12:p:3383-:d:241069
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/12/3383/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/12/3383/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Beach, R. & Muhlemann, A. P. & Price, D. H. R. & Paterson, A. & Sharp, J. A., 2000. "A review of manufacturing flexibility," European Journal of Operational Research, Elsevier, vol. 122(1), pages 41-57, April.
    2. Soysal, Mehmet & Bloemhof-Ruwaard, Jacqueline.M. & Meuwissen, Miranda P.M. & van der Vorst, Jack G.A.J., 2012. "A Review on Quantitative Models for Sustainable Food Logistics Management," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 3(2), pages 1-20, December.
    Full references (including those not matched with items on IDEAS)

    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. Chahal, Hardeep & Gupta, Mahesh & Lonial, Subhash & Raina, Swati, 2019. "Operational flexibility-entrepreneurial orientation relationship: Effects and consequences," Journal of Business Research, Elsevier, vol. 105(C), pages 154-167.
    2. Enrico Teich & Thorsten Claus, 2017. "Measurement of Load and Capacity Flexibility in Manufacturing," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 18(4), pages 291-302, December.
    3. Andrea Gallo & Riccardo Accorsi & Giulia Baruffaldi & Riccardo Manzini, 2017. "Designing Sustainable Cold Chains for Long-Range Food Distribution: Energy-Effective Corridors on the Silk Road Belt," Sustainability, MDPI, vol. 9(11), pages 1-20, November.
    4. Jörg Claussen & Christian Essling & Christian Peukert, 2018. "Demand variation, strategic flexibility and market entry: Evidence from the U.S. airline industry," Strategic Management Journal, Wiley Blackwell, vol. 39(11), pages 2877-2898, November.
    5. Murphree, Michael & Anderson, John (Andy), 2018. "Countering Overseas Power in Global Value Chains: Information Asymmetries and Subcontracting in the Plastics Industry," Journal of International Management, Elsevier, vol. 24(2), pages 123-136.
    6. Rohmer, S.U.K. & Gerdessen, J.C. & Claassen, G.D.H., 2019. "Sustainable supply chain design in the food system with dietary considerations: A multi-objective analysis," European Journal of Operational Research, Elsevier, vol. 273(3), pages 1149-1164.
    7. Ali Saeed Almuflih & Janpriy Sharma & Mohit Tyagi & Arvind Bhardwaj & Mohamed Rafik Noor Mohamed Qureshi & Nawaf Khan, 2022. "Leveraging the Dynamics of Food Supply Chains towards Avenues of Sustainability," Sustainability, MDPI, vol. 14(12), pages 1-15, June.
    8. Pragya Bhawsar & Utpal Chattopadhyay, 2015. "Competitiveness: Review, Reflections and Directions," Global Business Review, International Management Institute, vol. 16(4), pages 665-679, August.
    9. Naim, Mohamed & Aryee, Gilbert & Potter, Andrew, 2010. "Determining a logistics provider's flexibility capability," International Journal of Production Economics, Elsevier, vol. 127(1), pages 39-45, September.
    10. Yaser Taghinezhad, 2019. "Optimisation model for a chain logistics problem involving chilled food under conditions of uncertainty," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 29(2), pages 103-116.
    11. Maria Elena Latino & Marta Menegoli & Martina De Giovanni, 2021. "Evaluating the Sustainability Dimensions in the Food Supply Chain: Literature Review and Research Routes," Sustainability, MDPI, vol. 13(21), pages 1-25, October.
    12. Martins, C.L. & Melo, M.T. & Pato, M.V., 2019. "Redesigning a food bank supply chain network in a triple bottom line context," International Journal of Production Economics, Elsevier, vol. 214(C), pages 234-247.
    13. Sandra Silva & Jorge Valente & Aurora Teixeira, 2012. "An evolutionary model of industry dynamics and firms’ institutional behavior with job search, bargaining and matching," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 7(1), pages 23-61, May.
    14. Corsten, Hans & Gossinger, Ralf, 2006. "Output flexibility of service enterprises -- an analysis based on production theory," International Journal of Production Economics, Elsevier, vol. 104(2), pages 296-307, December.
    15. Soto-Silva, Wladimir E. & Nadal-Roig, Esteve & González-Araya, Marcela C. & Pla-Aragones, Lluis M., 2016. "Operational research models applied to the fresh fruit supply chain," European Journal of Operational Research, Elsevier, vol. 251(2), pages 345-355.
    16. Piplani, Rajesh & Wetjens, Dennis, 2007. "Evaluation of entropy-based dispatching in flexible manufacturing systems," European Journal of Operational Research, Elsevier, vol. 176(1), pages 317-331, January.
    17. Gong, Zhejun, 2008. "An economic evaluation model of supply chain flexibility," European Journal of Operational Research, Elsevier, vol. 184(2), pages 745-758, January.
    18. Soysal, M. & Bloemhof-Ruwaard, J.M. & van der Vorst, J.G.A.J., 2014. "Modelling food logistics networks with emission considerations: The case of an international beef supply chain," International Journal of Production Economics, Elsevier, vol. 152(C), pages 57-70.
    19. Tamayo-Torres, Javier & Gutierrez-Gutierrez, Leopoldo & Ruiz-Moreno, Antonia, 2014. "The relationship between exploration and exploitation strategies, manufacturing flexibility and organizational learning: An empirical comparison between Non-ISO and ISO certified firms," European Journal of Operational Research, Elsevier, vol. 232(1), pages 72-86.
    20. Sreedevi, R. & Saranga, Haritha, 2017. "Uncertainty and supply chain risk: The moderating role of supply chain flexibility in risk mitigation," International Journal of Production Economics, Elsevier, vol. 193(C), pages 332-342.

    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:11:y:2019:i:12:p:3383-:d:241069. 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.