- Title
- Task assignment in home health care : a fuzzy group genetic algorithm approach
- Creator
- Mutingi, M., Mbohwa, Charles
- Subject
- Home-based care needs, Health services - Job satisfaction
- Date
- 2013
- Type
- Article
- Identifier
- uj:4829
- Identifier
- http://hdl.handle.net/10210/12422
- Description
- The assignment of home care tasks to nursing staff is a complex problem for decision makers concerned with optimizing home healthcare operations scheduling and logistics. Motivated by the ever-increasing home-based care needs, the design of high quality task assignments is highly essential for maintaining or improving worker moral, job satisfaction, service efficiency, service quality, and to ensure that business competitiveness remains momentous. To achieve high quality task assignments, the assigned workloads should be balanced or fair among the care givers. Therefore, the desired goal is to balance the workload of care givers while avoiding long distance travels in visiting the patients. However, the desired goal is often subjective as it involves the care givers, the management, and the patients. As such, the goal tends to be imprecise in the real world. This paper develops a fuzzy group genetic algorithm (FGGA) for task assignment in home healthcare services. The FGGA approach uses fuzzy evaluation based on fuzzy set theory. Results from illustrative examples show that the approach is promising.
- Publisher
- SAIIE25 Proceedings
- Rights
- © 2013, Authors
- Full Text
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