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Home Health Care Network Management Under Fuzzy Environment Using Meta-heuristic Algorithms

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Book cover Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020) (SoCPaR 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1383))

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Abstract

Home Health Care (HHC) Services is an alternative to hospitalization, which plays an important role in reducing hospital costs for patient care costs. Also, resource planning and routing problems are among the most important problems that need to be addressed when planning home health care resources. Home health care scheduling problem is a combination of the generalization of vehicle routing problem with the time window and the employee planning problem, which ultimately aims to identify and allocation tasks to therapists, taking into account time windows for patients and employee preferences while the best routes are identified. In this paper, we presented a bi-objective model in the planning horizon of more than one day in order to reduce system costs and increase employee satisfaction simultaneously. In addition, the routing-allocation-scheduling-planning of home health care problem is of NP-hard problem. Meanwhile, we use a fuzzy approach to cope with this uncertainty due to the uncertain nature of transportation and travel cost parameters in the routing-allocation-planning of HHC problem. To solve this model in different sizes, we used meta-heuristic algorithms.

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Author information

Authors and Affiliations

  1. Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, 11, 3rd Street NW, P.O. Box 2259, Auburn, WA, 98071, USA

    Fariba Goodarzian, Aida Goodarzian & Ajith Abraham

  2. Department of Industrial Engineering, Yazd University, Yazd, Iran

    Sohaib Dastgoshade

Authors
  1. Fariba Goodarzian
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  2. Aida Goodarzian
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  3. Ajith Abraham
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  4. Sohaib Dastgoshade
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Corresponding author

Correspondence to Ajith Abraham .

Editor information

Editors and Affiliations

  1. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Ajith Abraham

  2. Systems Innovation, School of Engineering, The University of Tokyo, Bunkyo-ku, Tokyo, Japan

    Yukio Ohsawa

  3. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Niketa Gandhi

  4. Vardhaman College of Engineering, Hyderabad, Telangana, India

    M.A. Jabbar

  5. Faculty of Sciences and Techniques, Hassan 1st University, Settat, Morocco

    Abdelkrim Haqiq

  6. Queen’s University, Belfast, UK

    Seán McLoone

  7. Northumbria University, Newcastle, UK

    Biju Issac

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Goodarzian, F., Goodarzian, A., Abraham, A., Dastgoshade, S. (2021). Home Health Care Network Management Under Fuzzy Environment Using Meta-heuristic Algorithms. In: Abraham, A., et al. Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020). SoCPaR 2020. Advances in Intelligent Systems and Computing, vol 1383. Springer, Cham. https://doi.org/10.1007/978-3-030-73689-7_31

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