IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v290y2021i1p297-312.html
   My bibliography  Save this article

Optimizing tactical harvest planning for multiple fruit orchards using a metaheuristic modeling approach

Author

Listed:
  • Gómez-Lagos, Javier E.
  • González-Araya, Marcela C.
  • Soto-Silva, Wladimir E.
  • Rivera-Moraga, Masly M.

Abstract

In a fruit harvest season, the fruit must be collected during a relatively short period of intense activity. Moreover, large fruit export companies commonly manage multiple orchards where the resources and labor are shared, making the decision process more complex. In this study, we address this harvest problem by proposing a mixed integer linear programming model for supporting tactical decisions during the harvest season in order to reduce total costs. This includes costs related to the fruit not reaching maturity and the number of harvest days. Due to the difficulty of solving this model optimally when real cases are considered, we developed a GRASP metaheuristic method. We compared the GRASP metaheuristic solution to the best integer solution obtained by an exact method using a real case. We observed that the metaheuristic produced a solution in less computational time than the best integer solution. The total costs obtained by the GRASP metaheuristic were two percent greater than the total cost obtained by the best integer solution. Additionally, we analyzed two scenarios to establish if the joint resource planning of the orchards would allow a cost reduction. The GRASP metaheuristic provides orchard managers with a harvest plan in a timely manner and adds greater flexibility to the decision process. The proposed model can be used to plan the harvesting of a variety of fresh fruits.

Suggested Citation

  • Gómez-Lagos, Javier E. & González-Araya, Marcela C. & Soto-Silva, Wladimir E. & Rivera-Moraga, Masly M., 2021. "Optimizing tactical harvest planning for multiple fruit orchards using a metaheuristic modeling approach," European Journal of Operational Research, Elsevier, vol. 290(1), pages 297-312.
    • Handle: RePEc:eee:ejores:v:290:y:2021:i:1:p:297-312
    DOI: 10.1016/j.ejor.2020.08.015
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377221720307062
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ejor.2020.08.015?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Marcela C. González-Araya & Wladimir E. Soto-Silva & Luis G. Acosta Espejo, 2015. "Harvest Planning in Apple Orchards Using an Optimization Model," International Series in Operations Research & Management Science, in: Lluis M. Plà-Aragonés (ed.), Handbook of Operations Research in Agriculture and the Agri-Food Industry, edition 127, chapter 0, pages 79-105, Springer.
    2. Chaoqun Duan & Chao Deng & Abolfazl Gharaei & Jun Wu & Bingran Wang, 2018. "Selective maintenance scheduling under stochastic maintenance quality with multiple maintenance actions," International Journal of Production Research, Taylor & Francis Journals, vol. 56(23), pages 7160-7178, December.
    3. 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.
    4. J V Caixeta-Filho, 2006. "Orange harvesting scheduling management: a case study," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(6), pages 637-642, June.
    5. Catalá, Luis P. & Durand, Guillermo A. & Blanco, Aníbal M. & Alberto Bandoni, J., 2013. "Mathematical model for strategic planning optimization in the pome fruit industry," Agricultural Systems, Elsevier, vol. 115(C), pages 63-71.
    6. Ahumada, Omar & Villalobos, J. Rene, 2009. "Application of planning models in the agri-food supply chain: A review," European Journal of Operational Research, Elsevier, vol. 196(1), pages 1-20, July.
    7. Mauricio G. C. Resende & Celso C. Ribeiro, 2014. "GRASP: Greedy Randomized Adaptive Search Procedures," Springer Books, in: Edmund K. Burke & Graham Kendall (ed.), Search Methodologies, edition 2, chapter 0, pages 287-312, Springer.
    8. Bohle, Carlos & Maturana, Sergio & Vera, Jorge, 2010. "A robust optimization approach to wine grape harvesting scheduling," European Journal of Operational Research, Elsevier, vol. 200(1), pages 245-252, January.
    9. Ferrer, Juan-Carlos & Mac Cawley, Alejandro & Maturana, Sergio & Toloza, Sergio & Vera, Jorge, 2008. "An optimization approach for scheduling wine grape harvest operations," International Journal of Production Economics, Elsevier, vol. 112(2), pages 985-999, April.
    10. Jonkman, Jochem & Barbosa-Póvoa, Ana P. & Bloemhof, Jacqueline M., 2019. "Integrating harvesting decisions in the design of agro-food supply chains," European Journal of Operational Research, Elsevier, vol. 276(1), pages 247-258.
    11. Kusumastuti, Ratih Dyah & Donk, Dirk Pieter van & Teunter, Ruud, 2016. "Crop-related harvesting and processing planning: a review," International Journal of Production Economics, Elsevier, vol. 174(C), pages 76-92.
    12. Saul Gass & Thomas Saaty, 1955. "The computational algorithm for the parametric objective function," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 2(1‐2), pages 39-45, March.
    13. Cleve Willis & William Hanlon, 1976. "Temporal Model for Long-Run Orchard Decisions," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 24(3), pages 17-28, November.
    14. Jena, Sanjay Dominik & Poggi, Marcus, 2013. "Harvest planning in the Brazilian sugar cane industry via mixed integer programming," European Journal of Operational Research, Elsevier, vol. 230(2), pages 374-384.
    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. Ramos, Francisco López & Batres, Rafael & De-la-Cruz-Márquez, Cynthia Griselle & Anzures, Melina López, 2023. "Optimization models for nopal crop planning with land usage expansion and government subsidy," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    2. Yang, Manyi & Qu, Shaojian & Ji, Ying & Abdoulrahaman, Dabo, 2024. "Vulnerability of fresh agricultural products supply chain: Assessment, interrelationship analysis and control strategies," Socio-Economic Planning Sciences, Elsevier, vol. 94(C).
    3. Wolff, Michael & Becker, Tristan & Walther, Grit, 2023. "Long-term design and analysis of renewable fuel supply chains – An integrated approach considering seasonal resource availability," European Journal of Operational Research, Elsevier, vol. 304(2), pages 745-762.

    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. Tuğçe Taşkıner & Bilge Bilgen, 2021. "Optimization Models for Harvest and Production Planning in Agri-Food Supply Chain: A Systematic Review," Logistics, MDPI, vol. 5(3), pages 1-27, August.
    2. 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.
    3. Víctor M. Albornoz & Lia C. Araneda & Rodrigo Ortega, 2022. "Planning and scheduling of selective harvest with management zones delineation," Annals of Operations Research, Springer, vol. 316(2), pages 873-890, September.
    4. Kusumastuti, Ratih Dyah & Donk, Dirk Pieter van & Teunter, Ruud, 2016. "Crop-related harvesting and processing planning: a review," International Journal of Production Economics, Elsevier, vol. 174(C), pages 76-92.
    5. Rana Azab & Rana S. Mahmoud & Rahma Elbehery & Mohamed Gheith, 2023. "A Bi-Objective Mixed-Integer Linear Programming Model for a Sustainable Agro-Food Supply Chain with Product Perishability and Environmental Considerations," Logistics, MDPI, vol. 7(3), pages 1-29, July.
    6. Wishon, C. & Villalobos, J.R. & Mason, N. & Flores, H. & Lujan, G., 2015. "Use of MIP for planning temporary immigrant farm labor force," International Journal of Production Economics, Elsevier, vol. 170(PA), pages 25-33.
    7. Palmowski, Zbigniew & Sidorowicz, Aleksandra, 2020. "An application of dynamic programming to assign pressing tanks at wineries," European Journal of Operational Research, Elsevier, vol. 287(1), pages 293-305.
    8. Yiping Jiang & Liangqi Chen & Yan Fang, 2018. "Integrated Harvest and Distribution Scheduling with Time Windows of Perishable Agri-Products in One-Belt and One-Road Context," Sustainability, MDPI, vol. 10(5), pages 1-13, May.
    9. Ramos, Francisco López & Batres, Rafael & De-la-Cruz-Márquez, Cynthia Griselle & Anzures, Melina López, 2023. "Optimization models for nopal crop planning with land usage expansion and government subsidy," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    10. Shunyu Yao & Neng Fan & Clark Seavert & Trent Teegerstrom, 2023. "Demand-Driven Harvest Planning and Machinery Scheduling for Guayule," SN Operations Research Forum, Springer, vol. 4(1), pages 1-25, March.
    11. Fuchigami, Helio Yochihiro & Tuni, Andrea & Barbosa, Luísa Queiroz & Severino, Maico Roris & Rentizelas, Athanasios, 2021. "Supporting Brazilian smallholder farmers decision making in supplying institutional markets," European Journal of Operational Research, Elsevier, vol. 295(1), pages 321-335.
    12. Sheng-I Chen & Wei-Fu Chen, 2021. "The Optimal Harvest Decisions for Natural and Artificial Maturation Mangoes under Uncertain Demand, Yields and Prices," Sustainability, MDPI, vol. 13(17), pages 1-17, August.
    13. Kate, Joeri ten & Teunter, Ruud & Kusumastuti, Ratih Dyah & van Donk, Dirk Pieter, 2017. "Bio-diesel production using mobile processing units: A case in Indonesia," Agricultural Systems, Elsevier, vol. 152(C), pages 121-130.
    14. Mauricio Varas & Franco Basso & Paul Bosch & Juan Pablo Contreras & Raúl Pezoa, 2022. "A horizontal collaborative approach for planning the wine grape harvesting," Operational Research, Springer, vol. 22(5), pages 4965-4998, November.
    15. Behzadi, Golnar & O’Sullivan, Michael Justin & Olsen, Tava Lennon & Zhang, Abraham, 2018. "Agribusiness supply chain risk management: A review of quantitative decision models," Omega, Elsevier, vol. 79(C), pages 21-42.
    16. Wenbo Zhang & Wilbert Wilhelm, 2011. "OR/MS decision support models for the specialty crops industry: a literature review," Annals of Operations Research, Springer, vol. 190(1), pages 131-148, October.
    17. Marius Drechsler & Andreas Holzapfel, 2022. "Decision Support in Horticultural Supply Chains: A Planning Problem Framework for Small and Medium-Sized Enterprises," Agriculture, MDPI, vol. 12(11), pages 1-25, November.
    18. Besik, Deniz & Nagurney, Anna & Dutta, Pritha, 2023. "An integrated multitiered supply chain network model of competing agricultural firms and processing firms: The case of fresh produce and quality," European Journal of Operational Research, Elsevier, vol. 307(1), pages 364-381.
    19. Najafi, Mehdi & Zolfagharinia, Hossein, 2024. "A Multi-objective integrated approach to address sustainability in a meat supply chain," Omega, Elsevier, vol. 124(C).
    20. Omar Ahumada & J. Villalobos, 2011. "A tactical model for planning the production and distribution of fresh produce," Annals of Operations Research, Springer, vol. 190(1), pages 339-358, October.

    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:eee:ejores:v:290:y:2021:i:1:p:297-312. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    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.