Dynamic Large-Scale Server Scheduling for IVF Queuing Network in Cloud Healthcare System

Table 1

Notation.

Sets:
	A set of specialists in general hospital
	A set of types of infertility patients
	A set of community hospitals
	A set of time periods in the planning cycle
Indices:
	Index of specialists in general hospital
	Type index of infertile patients
	Index of community hospitals
	Index of time periods in the planning cycle
	Index of patients served by doctor
Parameters:
	The waiting time cost of the patients in the general hospital during period t
	The setup cost between disease categories 1 and 2 for specialists
	Penalty costs of unmet infertility patients’ personal preferences
	Unit medical cost of doctor
	Service rules for each doctor queue
	The arrival rate of type patient in community hospital at the beginning of the time period
	The service rate of type doctor serving type patient in the general hospital
Random variables:
	Number of service settings of type doctor in the time period
Decision variables:
	In the time period, 0 if the personal preference of patient served by doctor is met and 1 otherwise
	In the time period, 1 if doctor is assigned to patient and 0 otherwise