IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i7p2984-d1622180.html
   My bibliography  Save this article

An Organizational Model of a Food Production Chain: A Case Study in the Poultry Sector in Foggia (Italy)

Author

Listed:
  • Giulio Mario Cappelletti

    (Department of Economics, Management and Territory, University of Foggia, 71121 Foggia, Italy)

  • Filomena Chiara

    (Department of Economics, Management and Territory, University of Foggia, 71121 Foggia, Italy)

  • Carlo Russo

    (Department of Economics, Management and Territory, University of Foggia, 71121 Foggia, Italy)

  • Pietro Russo

    (Independent Researcher, 20127 Milan, Italy)

  • Antonio Giovanni D’Emilio

    (Territorial Pharmaceutical Service, Local Health Authority (ASL) Foggia, 71121 Foggia, Italy)

  • Anna Costagliola

    (Department of Veterinary Medicine and Animal Production, University of Naples Federico II, 80137 Naples, Italy)

  • Giovanna Liguori

    (Territorial Pharmaceutical Service, Local Health Authority (ASL) Foggia, 71121 Foggia, Italy)

Abstract

The purpose of this study was to analyze the poultry chain in southern Italy to describe the characteristics of farms and their locations and to propose an optimized organizational model with a broader approach that considers not only economic and environmental factors, but also ethical ones, including animal welfare protection, particularly in the poultry food safety chain. To obtain these results, the geolocations of poultry facilities, identifying possible verticalizations in the supply chain, were used. Data were collected in the province of Foggia (Italy) and organized in a dataset in collaboration with the Prevention Department of the Local Health Authority. A geo-imputation procedure and centroid calculation allowed us to formulate an optimizing hypothesis regarding the geolocation of upstream and downstream facilities in the process of chicken breeding by identifying a possible verticalization in the supply chain. Our results highlight the importance of broadening the concept of industrial symbiosis in the management of poultry farming, not only from an environmental perspective, but also from a social perspective. In particular, concerning ethical aspects, protecting animal welfare today is an essential goal of the sector to ensure high quality and yield of poultry meat. The results represent the first step towards proposing an optimized organizational model that takes ethical and social aspects into consideration. The paper is intended to highlight how, in the poultry sector, an organizational scheme can also reconcile other aspects, such as safeguarding the welfare conditions of animals on farms and during transport to improve food safety.

Suggested Citation

  • Giulio Mario Cappelletti & Filomena Chiara & Carlo Russo & Pietro Russo & Antonio Giovanni D’Emilio & Anna Costagliola & Giovanna Liguori, 2025. "An Organizational Model of a Food Production Chain: A Case Study in the Poultry Sector in Foggia (Italy)," Sustainability, MDPI, vol. 17(7), pages 1-19, March.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:7:p:2984-:d:1622180
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/7/2984/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/17/7/2984/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Giancarlo Bozzo & Roberta Barrasso & Davide Ferorelli & Vito Gassi & Roberto Russo & Francesco Emanuele Celentano, 2021. "Animal Welfare Policies and Human Rights in the Context of Slaughter Procedures," Agriculture, MDPI, vol. 11(5), pages 1-11, May.
    2. Thi Le Hoa Vo & Daniel Thiel, 2011. "Economic simulation of a poultry supply chain facing a sanitary crisis," Post-Print halshs-00657468, HAL.
    3. repec:eme:hppsss:v:31:y:2015:i:3:p:242-259 is not listed on IDEAS
    4. A. Custódio & H. Rocha & L. Vicente, 2010. "Incorporating minimum Frobenius norm models in direct search," Computational Optimization and Applications, Springer, vol. 46(2), pages 265-278, June.
    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. El Baz, Jamal & Ruel, Salomée, 2021. "Can supply chain risk management practices mitigate the disruption impacts on supply chains’ resilience and robustness? Evidence from an empirical survey in a COVID-19 outbreak era," International Journal of Production Economics, Elsevier, vol. 233(C).
    2. Gaofeng Wang & Shuai Li & Zihao Zhang & Yanning Hou & Changhoon Shin, 2023. "A Visual Knowledge Map Analysis of Cross-Border Agri-Food Supply Chain Research Based on CiteSpace," Sustainability, MDPI, vol. 15(14), pages 1-28, July.
    3. Gholami-Zanjani, Seyed Mohammad & Klibi, Walid & Jabalameli, Mohammad Saeed & Pishvaee, Mir Saman, 2021. "The design of resilient food supply chain networks prone to epidemic disruptions," International Journal of Production Economics, Elsevier, vol. 233(C).
    4. Remigijus Paulavičius & Lakhdar Chiter & Julius Žilinskas, 2018. "Global optimization based on bisection of rectangles, function values at diagonals, and a set of Lipschitz constants," Journal of Global Optimization, Springer, vol. 71(1), pages 5-20, May.
    5. He, Fang & Yin, Yafeng & Chen, Zhibin & Zhou, Jing, 2015. "Pricing of parking games with atomic players," Transportation Research Part B: Methodological, Elsevier, vol. 73(C), pages 1-12.
    6. Y. Diouane & S. Gratton & L. Vicente, 2015. "Globally convergent evolution strategies for constrained optimization," Computational Optimization and Applications, Springer, vol. 62(2), pages 323-346, November.
    7. Charles Audet & Michael Kokkolaras & Sébastien Le Digabel & Bastien Talgorn, 2018. "Order-based error for managing ensembles of surrogates in mesh adaptive direct search," Journal of Global Optimization, Springer, vol. 70(3), pages 645-675, March.
    8. Muflikh, Yanti Nuraeni & Smith, Carl & Aziz, Ammar Abdul, 2021. "A systematic review of the contribution of system dynamics to value chain analysis in agricultural development," Agricultural Systems, Elsevier, vol. 189(C).
    9. Árpád Bűrmen & Jernej Olenšek & Tadej Tuma, 2015. "Mesh adaptive direct search with second directional derivative-based Hessian update," Computational Optimization and Applications, Springer, vol. 62(3), pages 693-715, December.
    10. Sander Dedoncker & Wim Desmet & Frank Naets, 2021. "Generating set search using simplex gradients for bound-constrained black-box optimization," Computational Optimization and Applications, Springer, vol. 79(1), pages 35-65, May.
    11. Remigijus Paulavičius & Yaroslav Sergeyev & Dmitri Kvasov & Julius Žilinskas, 2014. "Globally-biased Disimpl algorithm for expensive global optimization," Journal of Global Optimization, Springer, vol. 59(2), pages 545-567, July.
    12. Yazdekhasti, Amin & Wang, Jun & Zhang, Li & Ma, Junfeng, 2021. "A multi-period multi-modal stochastic supply chain model under COVID pandemic: A poultry industry case study in Mississippi," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 154(C).
    13. Eric Newby & M. Ali, 2015. "A trust-region-based derivative free algorithm for mixed integer programming," Computational Optimization and Applications, Springer, vol. 60(1), pages 199-229, January.
    14. Iffat Abbas Abbasi & Hasbullah Ashari & Ahmad Shabudin Ariffin & Ijaz Yusuf, 2023. "Farm to Fork: Indigenous Chicken Value Chain Modelling Using System Dynamics Approach," Sustainability, MDPI, vol. 15(2), pages 1-19, January.
    15. El Baz, Jamal & Ruel, Salomée, 2021. "Can supply chain risk management practices mitigate the disruption impacts on supply chains’ resilience and robustness? Evidence from an empirical survey in a COVID-19 outbreak era," International Journal of Production Economics, Elsevier, vol. 233(C).
    16. C. P. Brás & A. L. Custódio, 2020. "On the use of polynomial models in multiobjective directional direct search," Computational Optimization and Applications, Springer, vol. 77(3), pages 897-918, December.
    17. László Pál, 2017. "Empirical study of the improved UNIRANDI local search method," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(4), pages 929-952, December.
    18. Wu, Di & Yin, Yafeng & Lawphongpanich, Siriphong & Yang, Hai, 2012. "Design of more equitable congestion pricing and tradable credit schemes for multimodal transportation networks," Transportation Research Part B: Methodological, Elsevier, vol. 46(9), pages 1273-1287.
    19. Christopher M. Durugbo & Zainab Al-Balushi, 2023. "Supply chain management in times of crisis: a systematic review," Management Review Quarterly, Springer, vol. 73(3), pages 1179-1235, September.
    20. Charles Audet & Sébastien Le Digabel & Renaud Saltet, 2022. "Quantifying uncertainty with ensembles of surrogates for blackbox optimization," Computational Optimization and Applications, Springer, vol. 83(1), pages 29-66, September.

    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:17:y:2025:i:7:p:2984-:d:1622180. 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.