Optimizing Logistical Operations in Health Services: Applications of Location-allocation Models
Optimizing Logistical Operations in Health Services: Applications of Location-allocation Models
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Dr. Rhoda Namoco
Dr. Rhoda Namoco
The general location-allocation problem (LAP) aims to locate a set of facilities so that the total cost is minimized subject to some constraints.
The general location-allocation problem (LAP) aims to locate a set of facilities so that the total cost is minimized subject to some constraints.
LAP tries to provide answers to questions like “Which facilities should be used (or opened)?” or “Who (or how many) should be serviced from which facility (or facilities) so as to minimize costs?”
LAP tries to provide answers to questions like “Which facilities should be used (or opened)?” or “Who (or how many) should be serviced from which facility (or facilities) so as to minimize costs?”
This workshop will introduce you to the basics of LAP modeling and its solution methods. We will then explore its applications to solving problems related to the delivery of health services, particularly those related to logistical operations for COVID-19.
This workshop will introduce you to the basics of LAP modeling and its solution methods. We will then explore its applications to solving problems related to the delivery of health services, particularly those related to logistical operations for COVID-19.
Prior reading/prerequisites
Prior reading/prerequisites
Prerequisites:
Basic knowledge in optimization problem formulation
Prerequisites:
Basic knowledge in optimization problem formulation
Starting set of references (for advance study):
Starting set of references (for advance study):
Azarmand, Z., & Neishabouri Jami, E. (2009). Location allocation problem. In R. Z. Farahani & M. Hekmatfar (Eds.), Facility location: Concepts, models, algorithms and case studies. Contributions to management science. Heidelberg: PhysicaVerlag. doi:10.1007/978-3-7908-2151-2 11.
Azarmand, Z., & Neishabouri Jami, E. (2009). Location allocation problem. In R. Z. Farahani & M. Hekmatfar (Eds.), Facility location: Concepts, models, algorithms and case studies. Contributions to management science. Heidelberg: PhysicaVerlag. doi:10.1007/978-3-7908-2151-2 11.
Boloori Arabani, A., & Farahani, R. Z. (2012). Facility location dynamics:
Boloori Arabani, A., & Farahani, R. Z. (2012). Facility location dynamics:
An overview of classifications and applications. Computers & Industrial Engineering, 62(1), 408–420. doi:10.1016/j.cie.2011.09.018
An overview of classifications and applications. Computers & Industrial Engineering, 62(1), 408–420. doi:10.1016/j.cie.2011.09.018
Farahani, R. Z., Hekmatfar, M., Fahimnia, B., & Kazemzadeh, N. (2014).
Farahani, R. Z., Hekmatfar, M., Fahimnia, B., & Kazemzadeh, N. (2014).
Hierarchical facility location problem: Models, classifications, techniques, and applications. Computers & Industrial Engineering, 68, 104–17. doi:10.1016/j.cie.2013.12.005
Hierarchical facility location problem: Models, classifications, techniques, and applications. Computers & Industrial Engineering, 68, 104–17. doi:10.1016/j.cie.2013.12.005
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