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Journal of Intelligent Manufacturing

, Volume 29, Issue 5, pp 973–988 | Cite as

A bi-objective genetic algorithm for intelligent rehabilitation scheduling considering therapy precedence constraints

  • Lizhong Zhao
  • Chen-Fu Chien
  • Mitsuo Gen
Article

Abstract

The rehabilitation inpatients in hospitals often complain about the service quality due to the long waiting time between the therapeutic processes. To enhance service quality, this study aims to propose an intelligent solution to reduce the waiting time through solving the rehabilitation scheduling problem. In particular, a bi-objective genetic algorithm is developed for rehabilitation scheduling via minimizing the total waiting time and the makespan. The conjunctive therapy concept is employed to preserve the partial precedence constraints between the therapies and thus the present rehabilitation scheduling problem can be formulated as an open shop scheduling problem, in which a special decoding algorithm is designed. We conducted an empirical study based on real data collected in a general hospital for validation. The proposed approach considered both the hospital operational efficiency and the patient centralized service needs. The results have shown that the waiting time of each inpatient can be reduced significantly and thus demonstrated the practical viability of the proposed bi-objective heuristic genetic algorithm.

Keywords

Rehabilitation scheduling Service system Bi-objective Genetic algorithm Precedence constraints Hospital management 

Notes

Acknowledgments

This research is supported by Ministry of Science and Technology, Taiwan (NSC 102-2221-E-007-057-MY3; MOST103-2218-E-007-023; MOST104-2911-I-007-502), National Natural Science Foundation of China (#71271068), and the Japan Society of Promotion of Science: Grant-in-Aid for Scientific Research under AQ1 Grant 24510219.0001.

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Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  1. 1.Department of Industrial Engineering and Engineering ManagementNational Tsing-Hua UniversityHsinchuTaiwan
  2. 2.Department of Industrial EngineeringHarbin Institute of TechnologyHarbinChina
  3. 3.Fuzzy Logic Systems InstituteIizukaJapan

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