IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v8y2018i1p5-d124938.html
   My bibliography  Save this article

Modelling the Collection and Delivery of Sheep Milk: A Tool to Optimise the Logistics Costs of Cheese Factories

Author

Listed:
  • Maria Caria

    (Department of Agraria, University of Sassari, Viale Italia 39, 07100 Sassari, Italy)

  • Giuseppe Todde

    (Department of Agraria, University of Sassari, Viale Italia 39, 07100 Sassari, Italy)

  • Antonio Pazzona

    (Department of Agraria, University of Sassari, Viale Italia 39, 07100 Sassari, Italy)

Abstract

The milk transformation process, in the last thirty years, moved from on-farm to centralised cheese factories, affecting the management of transport logistics. In Sardinia, the presence of about 12,000 dairy sheep farms, located in rural areas with poor condition of road network, makes collecting milk a significant impact on profit, affecting the costs of milk transportation. Moreover, dairy sheep farming is characterized by seasonal production, this means that the amount of milk that is produced by each farm differs significantly over the year. The objective of this work was to develop a decision support tool that, while optimising milk collection routes, reduced the costs of milk transport, thus improving the density of collection. The tool developed ad hoc in this study used GPS map location and milk volumes of farms to calculate the cost per litre of milk for the regular routing, and to recalculate the same cost for the optimised collecting route. Results showed that this tool improved the efficiency of milk collection, reducing the number of routes and the driving distances. Furthermore, optimising the density of collection, the new routes improved the environmental impact and the transportation costs that are associated with logistic and traceability of raw sheep milk.

Suggested Citation

  • Maria Caria & Giuseppe Todde & Antonio Pazzona, 2018. "Modelling the Collection and Delivery of Sheep Milk: A Tool to Optimise the Logistics Costs of Cheese Factories," Agriculture, MDPI, vol. 8(1), pages 1-11, January.
  • Handle: RePEc:gam:jagris:v:8:y:2018:i:1:p:5-:d:124938
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/8/1/5/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/8/1/5/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gerdessen, Johanna C., 1996. "Vehicle routing problem with trailers," European Journal of Operational Research, Elsevier, vol. 93(1), pages 135-147, August.
    2. Claassen, G.D.H. & Hendriks, Th.H.B., 2007. "An application of Special Ordered Sets to a periodic milk collection problem," European Journal of Operational Research, Elsevier, vol. 180(2), pages 754-769, July.
    3. Jayaram K. Sankaran & Rahul R. Ubgade, 1994. "Routing Tankers for Dairy Milk Pickup," Interfaces, INFORMS, vol. 24(5), pages 59-66, October.
    4. Giuseppe Todde & Maria Caria & Filippo Gambella & Antonio Pazzona, 2017. "Energy and Carbon Impact of Precision Livestock Farming Technologies Implementation in the Milk Chain: From Dairy Farm to Cheese Factory," Agriculture, MDPI, vol. 7(10), pages 1-11, September.
    5. Massimiliano Caramia & Francesca Guerriero, 2010. "A Milk Collection Problem with Incompatibility Constraints," Interfaces, INFORMS, vol. 40(2), pages 130-143, April.
    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. Paredes-Belmar, Germán & Montero, Elizabeth & Lüer-Villagra, Armin & Marianov, Vladimir & Araya-Sassi, Claudio, 2022. "Vehicle routing for milk collection with gradual blending: A case arising in Chile," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1403-1416.

    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. Olcay Polat & Duygu Topaloğlu, 2022. "Collection of different types of milk with multi-tank tankers under uncertainty: a real case study," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 30(1), pages 1-33, April.
    2. Masson, Renaud & Lahrichi, Nadia & Rousseau, Louis-Martin, 2016. "A two-stage solution method for the annual dairy transportation problem," European Journal of Operational Research, Elsevier, vol. 251(1), pages 36-43.
    3. Paredes-Belmar, Germán & Montero, Elizabeth & Lüer-Villagra, Armin & Marianov, Vladimir & Araya-Sassi, Claudio, 2022. "Vehicle routing for milk collection with gradual blending: A case arising in Chile," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1403-1416.
    4. Paredes-Belmar, Germán & Marianov, Vladimir & Bronfman, Andrés & Obreque, Carlos & Lüer-Villagra, Armin, 2016. "A milk collection problem with blending," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 94(C), pages 26-43.
    5. Massimiliano Caramia & Francesca Guerriero, 2010. "A Milk Collection Problem with Incompatibility Constraints," Interfaces, INFORMS, vol. 40(2), pages 130-143, April.
    6. Huang, Kuancheng & Wu, Kun-Feng & Ardiansyah, Muhammad Nashir, 2019. "A stochastic dairy transportation problem considering collection and delivery phases," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 129(C), pages 325-338.
    7. Villegas, Juan G. & Prins, Christian & Prodhon, Caroline & Medaglia, Andrés L. & Velasco, Nubia, 2013. "A matheuristic for the truck and trailer routing problem," European Journal of Operational Research, Elsevier, vol. 230(2), pages 231-244.
    8. Lahyani, Rahma & Khemakhem, Mahdi & Semet, Frédéric, 2015. "Rich vehicle routing problems: From a taxonomy to a definition," European Journal of Operational Research, Elsevier, vol. 241(1), pages 1-14.
    9. Gayialis, Sotiris P. & Tatsiopoulos, Ilias P., 2004. "Design of an IT-driven decision support system for vehicle routing and scheduling," European Journal of Operational Research, Elsevier, vol. 152(2), pages 382-398, January.
    10. Tino Henke & M. Grazia Speranza & Gerhard Wäscher, 2019. "A branch-and-cut algorithm for the multi-compartment vehicle routing problem with flexible compartment sizes," Annals of Operations Research, Springer, vol. 275(2), pages 321-338, April.
    11. Ostermeier, Manuel & Henke, Tino & Hübner, Alexander & Wäscher, Gerhard, 2021. "Multi-compartment vehicle routing problems: State-of-the-art, modeling framework and future directions," European Journal of Operational Research, Elsevier, vol. 292(3), pages 799-817.
    12. Ann-Kathrin Rothenbächer & Michael Drexl & Stefan Irnich, 2018. "Branch-and-Price-and-Cut for the Truck-and-Trailer Routing Problem with Time Windows," Transportation Science, INFORMS, vol. 52(5), pages 1174-1190, October.
    13. Heßler, Katrin, 2021. "Exact algorithms for the multi-compartment vehicle routing problem with flexible compartment sizes," European Journal of Operational Research, Elsevier, vol. 294(1), pages 188-205.
    14. Witold Jan Wardal & Kamila Ewelina Mazur & Kamil Roman & Michał Roman & Marcin Majchrzak, 2021. "Assessment of Cumulative Energy Needs for Chosen Technologies of Cattle Feeding in Barns with Conventional (CFS) and Automated Feeding Systems (AFS)," Energies, MDPI, vol. 14(24), pages 1-15, December.
    15. Tino Henke & M. Grazia Speranza & Gerhard Wäscher, 2014. "The Multi-Compartment Vehicle Routing Problem with Flexible Compartment Sizes," FEMM Working Papers 140006, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
    16. Maximilian Schiffer & Michael Schneider & Grit Walther & Gilbert Laporte, 2019. "Vehicle Routing and Location Routing with Intermediate Stops: A Review," Transportation Science, INFORMS, vol. 53(2), pages 319-343, March.
    17. Gambella, Claudio & Ghaddar, Bissan & Naoum-Sawaya, Joe, 2021. "Optimization problems for machine learning: A survey," European Journal of Operational Research, Elsevier, vol. 290(3), pages 807-828.
    18. Nabil Absi & Diego Cattaruzza & Dominique Feillet & Sylvain Housseman, 2017. "A relax-and-repair heuristic for the Swap-Body Vehicle Routing Problem," Annals of Operations Research, Springer, vol. 253(2), pages 957-978, June.
    19. Belarmino Adenso-Díaz & Mónica González & Emérita García, 1998. "A Hierarchical Approach to Managing Dairy Routing," Interfaces, INFORMS, vol. 28(2), pages 21-31, April.
    20. M Caramia & F Guerriero, 2010. "A heuristic approach for the truck and trailer routing problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(7), pages 1168-1180, July.

    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:jagris:v:8:y:2018:i:1:p:5-:d:124938. 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.