IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i12p6925-d578119.html
   My bibliography  Save this article

Optimizing Assistive Technology Operations for Aging Populations

Author

Listed:
  • Jesica de Armas

    (Department of Economics and Business, Universitat Pompeu Fabra, 08005 Barcelona, Spain
    UPF Barcelona School of Management, 08008 Barcelona, Spain
    Barcelona Graduate School of Economics, 08005 Barcelona, Spain)

  • Jessica Rodríguez-Pereira

    (Department of Economics and Business, Universitat Pompeu Fabra, 08005 Barcelona, Spain
    Barcelona Graduate School of Economics, 08005 Barcelona, Spain)

  • Bruno Vieira

    (Department of Economics and Business, Universitat Pompeu Fabra, 08005 Barcelona, Spain)

  • Helena Ramalhinho

    (Department of Economics and Business, Universitat Pompeu Fabra, 08005 Barcelona, Spain
    UPF Barcelona School of Management, 08008 Barcelona, Spain)

Abstract

The combination of increasing life spans and low birth rates is accelerating the pace at which the share of older adults in the population worldwide is rising. As people age, their autonomy tends to decrease which leads frequently to the need to use support equipment to perform their daily living activities. Governments, at all levels, are establishing programs to enable this population to live with dignity at home, receive more proper care, and to participate in all life’s activities in a joyful and independent way. Within these programs, we can find the Assistive Technology (AT) organizations that makes available to the population assistive technology equipment as wheelchairs or hospital beds. These organizations collect and store donated products for lend them to needed users. The management of these products’ flow, the location of the access centers, and design of the transportation schemes is not straightforward, due to several complexities, such as a highly uncertain demand and offer, budget limitations, and restricted availability of human resources within the organizations, most of which are volunteers. In this paper, we analyze the AT operations, based on a Circular Economy perspective, and we develop tools that can help the managers of these programs to make better logistics decisions. These tools are based on mathematical models and efficient algorithms that have been developed to solve location, inventory, and routing operational problems in the AT organizations. We have been inspired by the social program of the Barcelona City Council, Banc del Moviment, but the tools can be used and extended to other programs around the world.

Suggested Citation

  • Jesica de Armas & Jessica Rodríguez-Pereira & Bruno Vieira & Helena Ramalhinho, 2021. "Optimizing Assistive Technology Operations for Aging Populations," Sustainability, MDPI, vol. 13(12), pages 1-27, June.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:12:p:6925-:d:578119
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/12/6925/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/12/6925/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rick Hesse & Deborah Hesse Scerno, 2009. "How Electronic Spreadsheets Changed the World," Interfaces, INFORMS, vol. 39(2), pages 159-167, April.
    2. Brailsford, Sally & Vissers, Jan, 2011. "OR in healthcare: A European perspective," European Journal of Operational Research, Elsevier, vol. 212(2), pages 223-234, July.
    3. Gu, Jingyao & Zhang, Guoqing & Li, Kevin W., 2015. "Efficient aircraft spare parts inventory management under demand uncertainty," Journal of Air Transport Management, Elsevier, vol. 42(C), pages 101-109.
    4. Zilla Sinuany-Stern & H. Sherman, 2014. "Operations research in the public sector and nonprofit organizations," Annals of Operations Research, Springer, vol. 221(1), pages 1-8, October.
    5. Dönmez, Zehranaz & Kara, Bahar Y. & Karsu, Özlem & Saldanha-da-Gama, Francisco, 2021. "Humanitarian facility location under uncertainty: Critical review and future prospects," Omega, Elsevier, vol. 102(C).
    6. Gilbert Laporte, 2009. "Fifty Years of Vehicle Routing," Transportation Science, INFORMS, vol. 43(4), pages 408-416, November.
    7. Maria Besiou & Luk N. Van Wassenhove, 2020. "Humanitarian Operations: A World of Opportunity for Relevant and Impactful Research," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 135-145, January.
    8. Farahani, Reza Zanjirani & Fallah, Samira & Ruiz, Rubén & Hosseini, Sara & Asgari, Nasrin, 2019. "OR models in urban service facility location: A critical review of applications and future developments," European Journal of Operational Research, Elsevier, vol. 276(1), pages 1-27.
    9. A. Mor & M. G. Speranza, 2020. "Vehicle routing problems over time: a survey," 4OR, Springer, vol. 18(2), pages 129-149, June.
    10. Gomes, Maria Isabel & Ramos, Tânia Rodrigues Pereira, 2019. "Modelling and (re-)planning periodic home social care services with loyalty and non-loyalty features," European Journal of Operational Research, Elsevier, vol. 277(1), pages 284-299.
    11. G. Dikas & I. Minis, 2018. "Scheduled Paratransit Transport Enhanced by Accessible Taxis," Transportation Science, INFORMS, vol. 52(5), pages 1122-1140, October.
    12. Tinglong Dai & Sridhar Tayur, 2020. "OM Forum—Healthcare Operations Management: A Snapshot of Emerging Research," Manufacturing & Service Operations Management, INFORMS, vol. 22(5), pages 869-887, September.
    13. Gemma Berenguer & Zuo-Jun (Max) Shen, 2020. "OM Forum—Challenges and Strategies in Managing Nonprofit Operations: An Operations Management Perspective," Manufacturing & Service Operations Management, INFORMS, vol. 22(5), pages 888-905, September.
    14. Evrim Didem Güneş & Stefan Nickel, 2015. "Location Problems in Healthcare," Springer Books, in: Gilbert Laporte & Stefan Nickel & Francisco Saldanha da Gama (ed.), Location Science, edition 127, chapter 0, pages 555-579, Springer.
    15. Jin Qin & Yong Ye & Bi-rong Cheng & Xiaobo Zhao & Linling Ni, 2017. "The Emergency Vehicle Routing Problem with Uncertain Demand under Sustainability Environments," Sustainability, MDPI, vol. 9(2), pages 1-24, February.
    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. Lihua Liu & Lai Soon Lee & Hsin-Vonn Seow & Chuei Yee Chen, 2022. "Logistics Center Location-Inventory-Routing Problem Optimization: A Systematic Review Using PRISMA Method," Sustainability, MDPI, vol. 14(23), pages 1-39, November.
    2. Katarzyna Grzybowska & Patrycja Hoffa-Dabrowskas, 2022. "Digital Technology for Digital Supply Chain – Οverview," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 582-594.

    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. Jalel Euchi & Malek Masmoudi & Patrick Siarry, 2022. "Home health care routing and scheduling problems: a literature review," 4OR, Springer, vol. 20(3), pages 351-389, September.
    2. Jónas Oddur Jónasson & Kamalini Ramdas & Alp Sungu, 2022. "Social impact operations at the global base of the pyramid," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4364-4378, December.
    3. John F. Wellington & Stephen A. Lewis, 2021. "Getting Beyond the First Result of Solving a Vehicle Routing Problem," INFORMS Transactions on Education, INFORMS, vol. 22(1), pages 9-27, September.
    4. A. Mor & M. G. Speranza, 2022. "Vehicle routing problems over time: a survey," Annals of Operations Research, Springer, vol. 314(1), pages 255-275, July.
    5. Priyank Arora & Wei Wei & Senay Solak, 2021. "Improving Outcomes in Child Care Subsidy Voucher Programs under Regional Asymmetries," Production and Operations Management, Production and Operations Management Society, vol. 30(12), pages 4435-4454, December.
    6. CHEN, Helen S.Y., 2020. "Designing Sustainable Humanitarian Supply Chains," OSF Preprints m82ar, Center for Open Science.
    7. Xiang Li & Tianyu Zhang & Liang Wang & Hongguang Ma & Xiande Zhao, 2022. "A minimax regret model for the leader–follower facility location problem," Annals of Operations Research, Springer, vol. 309(2), pages 861-882, February.
    8. Schmid, Verena & Doerner, Karl F. & Laporte, Gilbert, 2013. "Rich routing problems arising in supply chain management," European Journal of Operational Research, Elsevier, vol. 224(3), pages 435-448.
    9. Wenhao Yu & Yujie Chen & Menglin Guan, 2021. "Hierarchical siting of macro fire station and micro fire station," Environment and Planning B, , vol. 48(7), pages 1972-1988, September.
    10. A. Mor & M. G. Speranza, 2020. "Vehicle routing problems over time: a survey," 4OR, Springer, vol. 18(2), pages 129-149, June.
    11. Rafidah Md Noor & Nadia Bella Gustiani Rasyidi & Tarak Nandy & Raenu Kolandaisamy, 2020. "Campus Shuttle Bus Route Optimization Using Machine Learning Predictive Analysis: A Case Study," Sustainability, MDPI, vol. 13(1), pages 1-24, December.
    12. Yue Lu & Maoxiang Lang & Xueqiao Yu & Shiqi Li, 2019. "A Sustainable Multimodal Transport System: The Two-Echelon Location-Routing Problem with Consolidation in the Euro–China Expressway," Sustainability, MDPI, vol. 11(19), pages 1-25, October.
    13. Yang Xia & Wenjia Zeng & Xinjie Xing & Yuanzhu Zhan & Kim Hua Tan & Ajay Kumar, 2023. "Joint optimisation of drone routing and battery wear for sustainable supply chain development: a mixed-integer programming model based on blockchain-enabled fleet sharing," Annals of Operations Research, Springer, vol. 327(1), pages 89-127, August.
    14. Daniel Y. Mo & H. Y. Lam & Weikun Xu & G. T. S. Ho, 2020. "Design of Flexible Vehicle Scheduling Systems for Sustainable Paratransit Services," Sustainability, MDPI, vol. 12(14), pages 1-18, July.
    15. Zhiping Zuo & Yanhui Li & Jing Fu & Jianlin Wu, 2019. "Human Resource Scheduling Model and Algorithm with Time Windows and Multi-Skill Constraints," Mathematics, MDPI, vol. 7(7), pages 1-18, July.
    16. Fadda, Edoardo & Manerba, Daniele & Cabodi, Gianpiero & Camurati, Paolo Enrico & Tadei, Roberto, 2021. "Comparative analysis of models and performance indicators for optimal service facility location," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
    17. Gréanne Leeftink & Erwin W. Hans, 2018. "Case mix classification and a benchmark set for surgery scheduling," Journal of Scheduling, Springer, vol. 21(1), pages 17-33, February.
    18. 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.
    19. Fleming, Christopher L. & Griffis, Stanley E. & Bell, John E., 2013. "The effects of triangle inequality on the vehicle routing problem," European Journal of Operational Research, Elsevier, vol. 224(1), pages 1-7.
    20. Rahma Lahyani & Leandro C. Coelho & Jacques Renaud, 2018. "Alternative formulations and improved bounds for the multi-depot fleet size and mix vehicle routing problem," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 40(1), pages 125-157, January.

    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:13:y:2021:i:12:p:6925-:d:578119. 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.