IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v201y2018icp89-101.html
   My bibliography  Save this article

Selecting new product designs and processing technologies under uncertainty: Two-stage stochastic model and application to a food supply chain

Author

Listed:
  • Stefansdottir, Bryndis
  • Grunow, Martin

Abstract

New product introduction frequently requires new processing technologies, and the development of new processing technologies also allows for the introduction of new products. An assessment of these new products and technologies must account for changes in the whole supply chain. This paper presents a two-stage stochastic mixed integer linear programming model that integrates the selection of new product designs and processing technologies in a supply chain context. Special attention is given to the demand uncertainties with regard to product specifications and volumes. The first stage of the model selects the processing technologies that determine the set of feasible product designs, leaving the detailed product designs and the production volumes as recourse actions to the second stage. We apply the developed approach to product designs and processing technologies in the dairy sector. Here, the substitution of milk powders through milk concentrates is currently being considered, which may lead to extensive energy savings in production. In an interdisciplinary effort, we first derive the design space encompassing the feasible dairy technologies and product designs for concentrates. Through numerical investigation we then show that flexible technologies are selected that can be used to produce different product designs. We also show that the selection of technologies is highly dependent on the uncertain demand characteristics of the new concentrate products.

Suggested Citation

  • Stefansdottir, Bryndis & Grunow, Martin, 2018. "Selecting new product designs and processing technologies under uncertainty: Two-stage stochastic model and application to a food supply chain," International Journal of Production Economics, Elsevier, vol. 201(C), pages 89-101.
  • Handle: RePEc:eee:proeco:v:201:y:2018:i:c:p:89-101
    DOI: 10.1016/j.ijpe.2018.04.011
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S092552731830166X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ijpe.2018.04.011?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. Ramírez, C.A. & Patel, M. & Blok, K., 2006. "From fluid milk to milk powder: Energy use and energy efficiency in the European dairy industry," Energy, Elsevier, vol. 31(12), pages 1984-2004.
    2. Zanoni, Simone & Zavanella, Lucio, 2012. "Chilled or frozen? Decision strategies for sustainable food supply chains," International Journal of Production Economics, Elsevier, vol. 140(2), pages 731-736.
    3. Rong, Aiying & Akkerman, Renzo & Grunow, Martin, 2011. "An optimization approach for managing fresh food quality throughout the supply chain," International Journal of Production Economics, Elsevier, vol. 131(1), pages 421-429, May.
    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. Ghasemy Yaghin, R. & Farmani, Zahra, 2023. "Planning a low-carbon, price-differentiated supply chain with scenario-based capacities and eco-friendly customers," International Journal of Production Economics, Elsevier, vol. 265(C).
    2. Stefansdottir, Bryndis & Depping, Verena & Grunow, Martin & Kulozik, Ulrich, 2018. "Impact of shelf life on the trade-off between economic and environmental objectives: A dairy case," International Journal of Production Economics, Elsevier, vol. 201(C), pages 136-148.
    3. Lejarza, Fernando & Pistikopoulos, Ioannis & Baldea, Michael, 2021. "A scalable real-time solution strategy for supply chain management of fresh produce: A Mexico-to-United States cross border study," International Journal of Production Economics, Elsevier, vol. 240(C).

    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. Lejarza, Fernando & Pistikopoulos, Ioannis & Baldea, Michael, 2021. "A scalable real-time solution strategy for supply chain management of fresh produce: A Mexico-to-United States cross border study," International Journal of Production Economics, Elsevier, vol. 240(C).
    2. Govindan, K. & Jafarian, A. & Khodaverdi, R. & Devika, K., 2014. "Two-echelon multiple-vehicle location–routing problem with time windows for optimization of sustainable supply chain network of perishable food," International Journal of Production Economics, Elsevier, vol. 152(C), pages 9-28.
    3. Soysal, Mehmet & Bloemhof-Ruwaard, Jacqueline M. & Haijema, Rene & van der Vorst, Jack G.A.J., 2015. "Modeling an Inventory Routing Problem for perishable products with environmental considerations and demand uncertainty," International Journal of Production Economics, Elsevier, vol. 164(C), pages 118-133.
    4. Shuai Yang & Yujie Xiao & Yong-Hong Kuo, 2017. "The Supply Chain Design for Perishable Food with Stochastic Demand," Sustainability, MDPI, vol. 9(7), pages 1-12, July.
    5. 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.
    6. Agustina, Dwi & Lee, C.K.M. & Piplani, Rajesh, 2014. "Vehicle scheduling and routing at a cross docking center for food supply chains," International Journal of Production Economics, Elsevier, vol. 152(C), pages 29-41.
    7. Sara Ceschia & Luca Di Gaspero & Antonella Meneghetti, 2020. "Extending and Solving the Refrigerated Routing Problem," Energies, MDPI, vol. 13(23), pages 1-24, November.
    8. Shuai Yang & Yujie Xiao & Yan Zheng & Yan Liu, 2017. "The Green Supply Chain Design and Marketing Strategy for Perishable Food Based on Temperature Control," Sustainability, MDPI, vol. 9(9), pages 1-8, August.
    9. Yi-Kuei Lin & Cheng-Fu Huang & Yi-Chieh Liao, 2019. "Reliability of a stochastic intermodal logistics network under spoilage and time considerations," Annals of Operations Research, Springer, vol. 277(1), pages 95-118, June.
    10. Chen, Jing & Dong, Ming & Xu, Lei, 2018. "A perishable product shipment consolidation model considering freshness-keeping effort," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 115(C), pages 56-86.
    11. 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.
    12. Chia-Nan Wang & Nhat-Luong Nhieu & Yu-Chi Chung & Huynh-Tram Pham, 2021. "Multi-Objective Optimization Models for Sustainable Perishable Intermodal Multi-Product Networks with Delivery Time Window," Mathematics, MDPI, vol. 9(4), pages 1-25, February.
    13. Goisser, Simon & Mempel, Heike & Bitsch, Vera, 2020. "Food-Scanners as a Radical Innovation in German Fresh Produce Supply Chains," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 11(02), April.
    14. Ahmetović, Elvis & Ibrić, Nidret & Kravanja, Zdravko & Grossmann, Ignacio E. & Maréchal, François & Čuček, Lidija & Kermani, Maziar, 2018. "Simultaneous optimisation and heat integration of evaporation systems including mechanical vapour recompression and background process," Energy, Elsevier, vol. 158(C), pages 1160-1191.
    15. Dong Li & Xiaojun Wang, 2017. "Dynamic supply chain decisions based on networked sensor data: an application in the chilled food retail chain," International Journal of Production Research, Taylor & Francis Journals, vol. 55(17), pages 5127-5141, September.
    16. Mona Haji & Laoucine Kerbache & Mahaboob Muhammad & Tareq Al-Ansari, 2020. "Roles of Technology in Improving Perishable Food Supply Chains," Logistics, MDPI, vol. 4(4), pages 1-24, December.
    17. Yang, Huayu & Zhang, Yuhao & Gao, Wenhua & Yan, Bowen & Zhao, Jianxin & Zhang, Hao & Chen, Wei & Fan, Daming, 2021. "Steam replacement strategy using microwave resonance: A future system for continuous-flow heating applications," Applied Energy, Elsevier, vol. 283(C).
    18. 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.
    19. Stüve, David & van der Meer, Robert & Lütke Entrup, Matthias & Agha, Mouhamad Shaker Ali, 2020. "Supply chain planning in the food industry," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Data Science and Innovation in Supply Chain Management: How Data Transforms the Value Chain. Proceedings of the Hamburg International Conference of Lo, volume 29, pages 317-353, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    20. Hadi Tannous & Valentina Stojceska & Savas A. Tassou, 2023. "The Use of Solar Thermal Heating in SPIRE and Non-SPIRE Industrial Processes," Sustainability, MDPI, vol. 15(10), pages 1-18, May.

    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:proeco:v:201:y:2018:i:c:p:89-101. 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/ijpe .

    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.