A Bi-Objective Preventive Healthcare Facility Network Design with Incorporating Cost and Time Saving
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32794
A Bi-Objective Preventive Healthcare Facility Network Design with Incorporating Cost and Time Saving

Authors: Mehdi Seifbarghy, Keyvan Roshan

Abstract:

Main goal of preventive healthcare problems are at decreasing the likelihood and severity of potentially life-threatening illnesses by protection and early detection. The levels of establishment and staffing costs along with summation of the travel and waiting time that clients spent are considered as objectives functions of the proposed nonlinear integer programming model. In this paper, we have proposed a bi-objective mathematical model for designing a network of preventive healthcare facilities so as to minimize aforementioned objectives, simultaneously. Moreover, each facility acts as M/M/1 queuing system. The number of facilities to be established, the location of each facility, and the level of technology for each facility to be chosen are provided as the main determinants of a healthcare facility network. Finally, to demonstrate performance of the proposed model, four multi-objective decision making techniques are presented to solve the model.

Keywords: Preventive healthcare problems, Non-linear integer programming models, Multi-objective decision making techniques

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1055984

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1722

References:


[1] Walker, K.," Current issues in the provision of health care services," in Journal of Consumer Affairs, vol. 11 , pp. 52-62,1977.
[2] HealthCanada,Mammography,October2005.2005.
[3] Gornick, M.E., Eggers, P.W., Riley, G.F., "Associations of race, education, and patterns of preventive service use with stage of cancer at time of diagnosis," Health Services Research, vol. 39, pp. 1403-1427, 2004.
[4] Zimmerman, S., "Factors influencing hispanic participation in prostate cancer screening." Oncology Nursing Forum, vol.24, pp. 499-504, 1997.
[5] Facione, N.C., "Breast cancer screening in relation to access to health services," Oncology Nursing Forum., vol.26, pp. 689-696,1999.
[6] World Health Organisation "Integrating Prevention into HealthCare"Fact.Sheet172,http://www.who.int/mediacentre/factsheets/fs 172/en/index.html>.October2002.
[7] Goldsmith, J., "A radical prescription for hospitals," in Harvard Business Review, vol.67, pp.104-111, 1989.
[8] Institute of Medicine, "Access to Health Care in America.," National Academy Press, Washington, DC ,1993.
[9] Berman, O., Krass, D., "Facility location problems with stochastic demands and congestion. In: Drezner, Z., Hamacher, H.W. (Eds.), Facility Location: Applications and Theory," Springer, New York, pp. 331-373, 2002.
[10] Marianov, V., Serra, D., "Location problems in the public sector. In: Drezner, Z., Hamacher, H.W. (Eds.) Facility Location: Applications and Theory," Springer, New York, pp. 119-150, 2002.
[11] Parker, B.R., Srinivasan, V., "A consumer preference approach to the planning of rural primary health-care facilities," Operations Research, vol.24, pp.991-1025, 1976.
[12] Verter, V., Lapierre, S.D., "Location of preventive health care facilities," Annals of Operations Research, vol.110, pp. 123-132, 2002.
[13] Zhang, Y., Berman, O., Verter, V., " Incorporating congestion in preventive healthcare facility network design." European Journal of Operational Research, vol.198, pp. 922-935, 2009.
[14] Marianov, V., Rios, M., Icaza, M.J., "Facility location for market capture when users rank facilities by shorter travel and waiting times." European Journal of Operational Research, vol.191, pp. 32-44, 2008.
[15] Pasandideh S.H.R., Niaki S.T.A., Hajipour V., "A Multi-Objective Facility Location Model with Batch Arrivals: Two Parameter-Tuned Meta-heuristic Algorithms" Journal of Intelligent Manufacturing, 2011.
[16] Zarrinpoor N., Seifbarghy M., "A competitive location model to obtain a specific market share while ranking facilities by shorter travel time," The International Journal of Advanced Manufacturing Technology, vol.55, no.5-8, pp. 807-816, 2011