A FUZZY-BASED PARTICLE SWARM OPTIMISATION APPROACH FOR TASK ASSIGNMENT IN HOME HEALTHCARE

Authors

  • Michael Mutingi University of Johannesburg, South Africa
  • Charles Mbohwa University of Johannesburg

DOI:

https://doi.org/10.7166/25-3-777

Keywords:

home healthcare, homecare, task assignment, fuzzy evaluation, fuzzy particle swarm

Abstract

Home healthcare (HHC) organisations provide coordinated healthcare services to patients at their homes. Motivated by the ever-increasing need for home-based care, the assignment of tasks to available healthcare staff is a common and complex problem in homecare organisations. Designing high quality task schedules is critical for improving worker morale, job satisfaction, service efficiency, service quality, and competitiveness over the long term. The desire is to provide high quality task assignment schedules that satisfy the patient, the care worker, and the management. This translates to maximising schedule fairness in terms of workload assignments, avoiding task time window violation, and meeting management goals as much as possible. However, in practice, these desires are often subjective as they involve imprecise human perceptions. This paper develops a fuzzy multi-criteria particle swarm optimisation (FPSO) approach for task assignment in a home healthcare setting in a fuzzy environment. The proposed approach uses a fuzzy evaluation method from a multi-criteria point of view. Results from illustrative computational experiments show that the approach is promising. 

Author Biographies

Michael Mutingi, University of Johannesburg, South Africa

PhD Candidate, Faculty of Engineering and the Built Environment

Charles Mbohwa, University of Johannesburg

Professor, Quality and Operations Management

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Published

2014-09-10

How to Cite

Mutingi, M., & Mbohwa, C. (2014). A FUZZY-BASED PARTICLE SWARM OPTIMISATION APPROACH FOR TASK ASSIGNMENT IN HOME HEALTHCARE. The South African Journal of Industrial Engineering, 25(3), 84–95. https://doi.org/10.7166/25-3-777

Issue

Vol. 25 No. 3 (2014)

Section

General Articles

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