Table 3.

The details about the computation of model’s parameters.

Parameters	Distribution
$(x_i,y_i)$	$1000\times (U(0,1),U(0,1))$
$(x_j,y_j)$	$1000\times (U(0,1),U(0,1))$
$(x_p,y_p)$	$1000\times (U(0,1),U(0,1))$
$(x_L,y_L)$	$1000\times (U(0,1),U(0,1))$
$D_{ij}^M$	$\sqrt{{(x_i-x_j)}^2+{(y_i-y_j)}^2}$
$D_{ip}^P$	$\sqrt{{(x_i-x_p)}^2+{(y_i-y_p)}^2}$
$D_{pl}^L$	$\sqrt{{(x_p-x_L)}^2+{(y_p-y_L)}^2}$
$A_{it}$	$rand\{5,10,\dots ,100\}$
$CAP{P}_p$	$rand\{800,900,\dots ,2000\}$
$B_{it}$	$rand\{1,2,\dots ,30\}$
$CAP{L}_L$	$rand\{50,60,\dots ,100\}$
$BIG$	10000
$PEN$	For small sizes: 1.5, medium sizes: 3, large sizes: 4.5
$T{C}_k$	$rand\{10,11,\dots ,1000\}$
$CA{P}_k$	$rand\{200,300,\dots ,10000\}$
${\tilde{W}}_{it}$	${\mathrm{W}}_{it}^r=rand\{5,10,\dots ,20\}$
	${\mathrm{W}}_{it}^q=rand\{20,25,\dots ,40\}$
	${\mathrm{W}}_{it}^s=rand\{40,45,\dots ,60\}$
${\tilde{E}}_{it}$	${\mathrm{E}}_{it}^r=rand\{0,1,\dots ,3\}$
	${\mathrm{E}}_{it}^q=rand\{3,4,\dots ,7\}$
	${\mathrm{E}}_{it}^s=rand\{7,8,\dots ,10\}$
${\tilde{L}}_{it}$	${\mathrm{L}}_{it}^r=rand\{500,1000,\dots ,2000\}$
	${\mathrm{L}}_{it}^q=rand\{1000,1500,\dots ,3000\}$
	${\mathrm{L}}_{it}^s=rand\{2500,3000,\dots ,5000\}$
${\tilde{T}}_{ijt}$	${\mathrm{T}}_{ijt}^r=\frac{D_{ij}^M}{{\sum }_{i=1}^M{\sum }_{j=1}^M{D}_{ij}^M}\times 120\times S$a
	${\mathrm{T}}_{ijt}^q=\frac{D_{ij}^M}{{\sum }_{i=1}^M{\sum }_{j=1}^M{D}_{ij}^M}\times 90\times S$a
	${\mathrm{T}}_{ijt}^s=\frac{D_{ij}^M}{{\sum }_{i=1}^M{\sum }_{j=1}^M{D}_{ij}^M}\times 70\times S$a
${\tilde{\lambda }}_{int}$	${\lambda }_{int}^r=rand\{1,2,\dots ,5\}$
	${\lambda }_{int}^q=rand\{5,6,\dots ,10\}$
	${\lambda }_{int}^s=rand\{11,12,\dots ,15\}$
$MDI{S}_{nkt}$	$rand\{25000,30000,\dots ,50000\}$
$CS$	2

^aSpeed transfer coefficient based on the vehicles for transferring between patient i and j.