Nurse Scheduling Using Genetic Algorithm

Table 3

Distribution patients interarrival and service time.

Day	Department	Regular hour		Overtime hour		Service time	value	Avg. time
		Interarrival time	value	Interarrival time	value
Monday	SUR	−0.5 + EXPO(8.52)	0.333	−0.5 + EXPO(10.7)	0.225	0.5 + WEIB(7.11, 1.85)	>0.750	6.84
	MED	−0.5 + EXPO(5.39)	0.654	−0.5 + EXPO(7.68)	0.616	POIS(4.13)	0.051	4.13
	PED	−0.5 + WEIB(9.51, 1.14)	0.113	−0.5 + EXPO(12.3)	0.075	0.5 + EXPO(6.5)	0.078	7.00
	EENT	−0.5 + EXPO(9.54)	0.478	5.5 + EXPO(16.5)	0.171	0.5 + EXPO(4.58)	0.615	5.08
	OBG	−0.5 + WEIB(14.6, 1.54)	0.465	11.5 + EXPO(22.5)	0.228	TRIA(2.5, 3, 19.5)	0.244	9.10
Tuesday	SUR	−0.5 + WEIB(10.5, 1.2)	0.334	−0.5 + WEIB(9.87, 0.925)	0.702	0.5 + 18 * BETA(0.774, 1.25)	0.481	7.40
	MED	−0.5 + WEIB(6.32, 1.33)	0.510	−0.5 + EXPO(9.13)	0.746	0.5 + LOGN(4.12, 5.32)	0.109	4.43
	PED	−0.5 + EXPO(5.6)	0.607	−0.5 + ERLA(4.98, 2)	0.526	1.5 + EXPO(8.7)	0.066	10.20
	EENT	−0.5 + GAMM(6.63, 1.11)	0.063	−0.5 + EXPO(10.5)	0.057	0.5 + 18 * BETA(0.409, 1.23)	0.427	4.98
	OBG	−0.5 + GAMM(7.59, 1.3)	0.145	1.5 + EXPO(30.1)	0.125	TRIA(2.5, 5.96, 19.5)	0.421	9.32
Sunday	SUR	−0.5 + LOGN(9.7, 12.6)	>0.750	−0.5 + EXPO(14.4)	0.068	0.5 + 17 * BETA(0.76, 1.06)	0.581	7.37
	MED	−0.5 + GAMM(9.47, 1.16)	0.283	1.5 + EXPO(22.4)	0.105	UNIF(0.5, 18.5)	0.589	8.76
	PED	−0.5 + WEIB(5.12, 0.841)	0.197	−0.5 + EXPO(10.3)	0.733	0.5 + EXPO(4.5)	0.210	5.00
	EENT	−0.5 + LOGN(10.5, 16.6)	0.349	UNIF(−0.5, 19.5)	0.438	0.5 + 19 * BETA(0.898, 1.56)	0.489	7.44
	OBG	−0.5 + LOGN(13.1, 20.7)	0.673	0.5 + EXPO(17.5)	0.097	POIS(6.35)	0.126	6.35