IDEAS home Printed from https://ideas.repec.org/a/spr/jcomop/vyid10.1007_s10878-019-00499-7.html
   My bibliography  Save this article

A multi-objective and multi-period optimization model for urban healthcare waste’s reverse logistics network design

Author

Listed:
  • Zhiguo Wang

    (Shanghai University)

  • Lufei Huang

    (Shanghai University)

  • Cici Xiao He

    (University of Otago)

Abstract

Various types of healthcare waste (or medical waste) generated by urban healthcare activities have increased due to the expansion of urban population and medical needs. As healthcare wastes are harmful to both the environment and human health, managing medical waste is becoming progressively more important. Constructing an optimized medical waste recycling network is one of the key problems in the management of urban healthcare waste. This paper conducts a two-stage reverse logistics network design for urban healthcare waste. The first stage involves the prediction of the amount of medical waste. Based on the Grey GM(1,1) prediction model, the amount of medical waste in multi-period of the target hospitals is predicted. In the second stage, a multi-objective model aimed at minimizing operating costs and minimizing environmental impact is developed for facilities allocation decisions, which include the configuration of key facilities such as hospitals, collection centers, transshipment centers, processing centers, and disposal sites, as well as medical waste flow control among facilities. A dynamic approach for the healthcare waste reverse logistics network is constructed by combining the Grey GM(1,1) prediction method with multi-objective optimization model. Sensitivity analysis of key parameters has been performed to analyze their impact on network performance. Some insightful management practices have been revealed.

Suggested Citation

  • Zhiguo Wang & Lufei Huang & Cici Xiao He, 0. "A multi-objective and multi-period optimization model for urban healthcare waste’s reverse logistics network design," Journal of Combinatorial Optimization, Springer, vol. 0, pages 1-28.
    • Handle: RePEc:spr:jcomop:v::y::i::d:10.1007_s10878-019-00499-7
    DOI: 10.1007/s10878-019-00499-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10878-019-00499-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10878-019-00499-7?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. Bin Hu & Fang Pan & Lei Wang, 2019. "A scheduling algorithm for medical emergency rescue aircraft trajectory based on hybrid estimation and intent inference," Journal of Combinatorial Optimization, Springer, vol. 37(1), pages 40-61, January.
    2. Srivastava, Samir K., 2008. "Network design for reverse logistics," Omega, Elsevier, vol. 36(4), pages 535-548, August.
    3. Cheng He & Yang Wu & Tong Chen, 2019. "Prognostics and health management of life-supporting medical instruments," Journal of Combinatorial Optimization, Springer, vol. 37(1), pages 183-195, January.
    4. Aliakbar Hasani & Seyed Hessameddin Zegordi & Ehsan Nikbakhsh, 2015. "Robust closed-loop global supply chain network design under uncertainty: the case of the medical device industry," International Journal of Production Research, Taylor & Francis Journals, vol. 53(5), pages 1596-1624, March.
    5. He, Yan-Lin & Wang, Ping-Jiang & Zhang, Ming-Qing & Zhu, Qun-Xiong & Xu, Yuan, 2018. "A novel and effective nonlinear interpolation virtual sample generation method for enhancing energy prediction and analysis on small data problem: A case study of Ethylene industry," Energy, Elsevier, vol. 147(C), pages 418-427.
    6. Jian Chang & Lingjuan Zhang, 2019. "Case Mix Index weighted multi-objective optimization of inpatient bed allocation in general hospital," Journal of Combinatorial Optimization, Springer, vol. 37(1), pages 1-19, January.
    7. Wei Niu & Juan Cheng & Guoqing Wang, 2013. "Applications of extension grey prediction model for power system forecasting," Journal of Combinatorial Optimization, Springer, vol. 26(3), pages 555-567, October.
    8. Cruz-Rivera, Reynaldo & Ertel, Jürgen, 2009. "Reverse logistics network design for the collection of End-of-Life Vehicles in Mexico," European Journal of Operational Research, Elsevier, vol. 196(3), pages 930-939, August.
    9. Fleischmann, Moritz & Bloemhof-Ruwaard, Jacqueline M. & Dekker, Rommert & van der Laan, Erwin & van Nunen, Jo A. E. E. & Van Wassenhove, Luk N., 1997. "Quantitative models for reverse logistics: A review," European Journal of Operational Research, Elsevier, vol. 103(1), pages 1-17, November.
    10. Bing Wang & Xingbao Han & Xianxia Zhang & Shaohua Zhang, 2015. "Predictive-reactive scheduling for single surgical suite subject to random emergency surgery," Journal of Combinatorial Optimization, Springer, vol. 30(4), pages 949-966, November.
    11. Govindan, Kannan & Soleimani, Hamed & Kannan, Devika, 2015. "Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future," European Journal of Operational Research, Elsevier, vol. 240(3), pages 603-626.
    12. Hao Liu & Zhong Yao, 2018. "Research on Mixed and Classification Simulation Models of Medical Waste—A Case Study in Beijing, China," Sustainability, MDPI, vol. 10(11), pages 1-16, November.
    13. Jing Fan & Xiwen Lu, 2015. "Supply chain scheduling problem in the hospital with periodic working time on a single machine," Journal of Combinatorial Optimization, Springer, vol. 30(4), pages 892-905, November.
    14. Yanqin Bai & Xiao Han & Tong Chen & Hua Yu, 2015. "Quadratic kernel-free least squares support vector machine for target diseases classification," Journal of Combinatorial Optimization, Springer, vol. 30(4), pages 850-870, November.
    15. Guiwu Xiong & Yong Wang, 2014. "Best routes selection in multimodal networks using multi-objective genetic algorithm," Journal of Combinatorial Optimization, Springer, vol. 28(3), pages 655-673, October.
    16. Madalina M. Drugan, 2019. "Estimating the number of basins of attraction of multi-objective combinatorial problems," Journal of Combinatorial Optimization, Springer, vol. 37(4), pages 1367-1407, May.
    17. Ene, Seval & Öztürk, Nursel, 2017. "Grey modelling based forecasting system for return flow of end-of-life vehicles," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 155-166.
    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. Zhiguo Wang & Lufei Huang & Cici Xiao He, 2021. "A multi-objective and multi-period optimization model for urban healthcare waste’s reverse logistics network design," Journal of Combinatorial Optimization, Springer, vol. 42(4), pages 785-812, November.
    2. Van Engeland, Jens & Beliën, Jeroen & De Boeck, Liesje & De Jaeger, Simon, 2020. "Literature review: Strategic network optimization models in waste reverse supply chains," Omega, Elsevier, vol. 91(C).
    3. Hao Hao & Ji Zhang & Qian Zhang & Li Yao & Yichen Sun, 2021. "Improved gray neural network model for healthcare waste recycling forecasting," Journal of Combinatorial Optimization, Springer, vol. 42(4), pages 813-830, November.
    4. Chao Chen & Shenle Pan & Zhu Wang & Ray Y. Zhong, 2017. "Using taxis to collect citywide E-commerce reverse flows: a crowdsourcing solution," International Journal of Production Research, Taylor & Francis Journals, vol. 55(7), pages 1833-1844, April.
    5. Yıldız, Gazi Bilal & Soylu, Banu, 2019. "A multiobjective post-sales guarantee and repair services network design problem," International Journal of Production Economics, Elsevier, vol. 216(C), pages 305-320.
    6. Konstantaras, Ioannis & Skouri, Konstantina & Benkherouf, Lakdere, 2021. "Optimizing inventory decisions for a closed–loop supply chain model under a carbon tax regulatory mechanism," International Journal of Production Economics, Elsevier, vol. 239(C).
    7. Vidovic, Milorad & Dimitrijevic, Branka & Ratkovic, Branislava & Simic, Vladimir, 2011. "A novel covering approach to positioning ELV collection points," Resources, Conservation & Recycling, Elsevier, vol. 57(C), pages 1-9.
    8. Toso, Eli Angela V. & Alem, Douglas, 2014. "Effective location models for sorting recyclables in public management," European Journal of Operational Research, Elsevier, vol. 234(3), pages 839-860.
    9. Hao Hao & Ji Zhang & Qian Zhang & Li Yao & Yichen Sun, 0. "Improved gray neural network model for healthcare waste recycling forecasting," Journal of Combinatorial Optimization, Springer, vol. 0, pages 1-18.
    10. Tahirov, Nail & Hasanov, Parviz & Jaber, Mohamad Y., 2016. "Optimization of closed-loop supply chain of multi-items with returned subassemblies," International Journal of Production Economics, Elsevier, vol. 174(C), pages 1-10.
    11. Jahani, Hamed & Abbasi, Babak & Sheu, Jiuh-Biing & Klibi, Walid, 2024. "Supply chain network design with financial considerations: A comprehensive review," European Journal of Operational Research, Elsevier, vol. 312(3), pages 799-839.
    12. Chan, Chi Kin & Man, Nora & Fang, Fei & Campbell, J.F., 2020. "Supply chain coordination with reverse logistics: A vendor/recycler-buyer synchronized cycles model," Omega, Elsevier, vol. 95(C).
    13. Chandra Prakash Garg, 2020. "A robust hybrid decision model to evaluate critical factors of reverse logistics implementation using Grey-DEMATEL framework," OPSEARCH, Springer;Operational Research Society of India, vol. 57(3), pages 837-873, September.
    14. Agrawal, Saurabh & Singh, Rajesh K. & Murtaza, Qasim, 2015. "A literature review and perspectives in reverse logistics," Resources, Conservation & Recycling, Elsevier, vol. 97(C), pages 76-92.
    15. Schweiger, Katharina & Sahamie, Ramin, 2013. "A hybrid Tabu Search approach for the design of a paper recycling network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 50(C), pages 98-119.
    16. S. Maryam Masoumi & Nima Kazemi & Salwa Hanim Abdul-Rashid, 2019. "Sustainable Supply Chain Management in the Automotive Industry: A Process-Oriented Review," Sustainability, MDPI, vol. 11(14), pages 1-30, July.
    17. Suzanne, Elodie & Absi, Nabil & Borodin, Valeria, 2020. "Towards circular economy in production planning: Challenges and opportunities," European Journal of Operational Research, Elsevier, vol. 287(1), pages 168-190.
    18. Xiaomin Zhao & Xueli Bai & Zhihui Fan & Ting Liu, 2020. "Game Analysis and Coordination of a Closed-Loop Supply Chain: Perspective of Components Reuse Strategy," Sustainability, MDPI, vol. 12(22), pages 1-19, November.
    19. Zhalechian, M. & Tavakkoli-Moghaddam, R. & Zahiri, B. & Mohammadi, M., 2016. "Sustainable design of a closed-loop location-routing-inventory supply chain network under mixed uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 89(C), pages 182-214.
    20. Michael Krapp & Johannes B. Kraus, 2019. "Coordination contracts for reverse supply chains: a state-of-the-art review," Journal of Business Economics, Springer, vol. 89(7), pages 747-792, 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:spr:jcomop:v::y::i::d:10.1007_s10878-019-00499-7. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.