1 AIT Asian Institute of Technology

Improving expected response time of ambulance services in Bangkok

AuthorKaruna Kachenchai
Call NumberAIT RSPR no. IE-84-21
Subject(s)Bangkok--Ambulance service
NoteA research study submitted in partial fulfillment of the requirements for the degree of Master of Science, School of Engineering and Technology
PublisherAsian Institute of Technology
AbstractThis study proposes good ambulance deployments for Bangkok area by improving the expected response time and service levels of the ambulance services of the Medical Evacuation Center. The Probabilistic Central Facility Location model by Aly and White which is the probabilistic aspect of p-median model is used. The solutions are solved by a heuristic algorithm by Shannon and Ignizio. The modification of the heuristic is done for solving the probabilistic covering model by Daskin, called Maximum Expected Covering Location Problem (MEXCLP), in order to examine the effect of increase of demands. Furthermore the extension of the MEXCLP by removing the strong assumption that probability that an ambulance is busy is the same at all locations is also studied and solved by the modified heuristic algorithm. The results of these models are compared. Moreover, the comparison between the results of the case that all the existing ambulance locations are fixed and the case that they can be relocated are proposed. These comparisons are based on service level indices obtained from a simulation model.
Year1984
TypeResearch Study Project Report (RSPR)
SchoolSchool of Engineering and Technology
DepartmentDepartment of Industrial Systems Engineering (DISE)
Academic Program/FoSIndustrial Engineering (IE)
Chairperson(s)Fujiwara, Okitsugu
Examination Committee(s)Oudheusden, Dirk L. Van ;Tang, John C.S.
Scholarship Donor(s)King ' s Scholarship , Royal Thai Government
DegreeResearch Studies Project Report (M. Sc.) - Asian Institute of Technology, 1984


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