F target=
	8
	~	
	~		|

F start production=
	MAX(0,F orders+fr of shortfall ordered per week*F shortfall)
	~	
	~		|

F backlog reduction=
	4
	~	
	~		|

fr of shortfall ordered per week=
	0.25
	~	
	~		|

D shortfall=
	D target-D effective inventory
	~	
	~		|

D target=
	8
	~	
	~		|

R effective inventory=
	Retail Stocks-R Order Backlog
	~	
	~		|

W effective inventory=
	Wholesale Stocks-W Order Backlog
	~	
	~		|

R target=
	8
	~	
	~	the target of 8 could make sense to a student who see the game start with \
		12 cases in inventory and a backlog of 4
	|

R Orders posted=
	MAX(0,customer orders+R shortfall*fr of shortfall ordered per week)
	~	
	~		|

customer orders=
	IF THEN ELSE(Time>4, 8 , 4 )
	~	
	~		|

W shortfall=
	W target-W effective inventory
	~	
	~		|

D effective inventory=
	Distributor Stocks-D Order Backlog
	~	
	~		|

F shortfall=
	F target-F effective inventory
	~	
	~		|

W target=
	8
	~	
	~		|

D Orders posted=
	MAX(0,D orders+fr of shortfall ordered per week*D shortfall)
	~	
	~		|

W Orders posted=
	MAX(0,w orders+fr of shortfall ordered per week*W shortfall)
	~	
	~		|

R shortfall=
	R target-R effective inventory
	~	
	~	the shorfall can go negative, indicating a surplus
	|

F effective inventory=
	Factory Stocks-F Order Backlog
	~	
	~		|

arrivals at distributor=
	DELAY FIXED(factory shipments, shipping lag ,4 )
	~	
	~		|

arrivals at retail=
	DELAY FIXED(wholesaler shipments, shipping lag,4 )
	~	
	~		|

arrivals at Wholesale=
	DELAY FIXED(distributor shipments,shipping lag,4)
	~	
	~		|

Beer in 1st Stage= INTEG (
	F start production-beer maturation,
		4)
	~	
	~		|

Beer in 2nd Stage= INTEG (
	beer maturation-beer to F inventory,
		4)
	~	
	~		|

Beer in Transit to Distributors= INTEG (
	factory shipments-arrivals at distributor,
		4)
	~	
	~		|

Beer in Transit to Retailers= INTEG (
	wholesaler shipments-arrivals at retail,
		4)
	~	
	~		|

Beer in Transit to Wholesalers= INTEG (
	distributor shipments-arrivals at Wholesale,
		4)
	~	
	~		|

beer maturation=
	DELAY FIXED(F start production, stage 1 lag ,4 )
	~	
	~		|

beer to F inventory=
	DELAY FIXED(beer maturation,stage 2 lag , 4)
	~	
	~		|

D backlog reduction=
	4
	~	
	~		|

D Order Backlog= INTEG (
	D orders-D backlog reduction,
		4)
	~	
	~		|

D orders=
	DELAY FIXED(W Orders posted, mail lag , 4 )
	~	
	~		|

D orders in mail= INTEG (
	D Orders posted-F orders,
		4)
	~	
	~		|

distributor shipments=
	4
	~	
	~		|

Distributor Stocks= INTEG (
	arrivals at distributor-distributor shipments,
		12)
	~	
	~		|

F Order Backlog= INTEG (
	F orders-F backlog reduction,
		4)
	~	
	~		|

F orders=
	DELAY FIXED(D Orders posted, mail lag ,4)
	~	
	~		|

factory shipments=
	4
	~	
	~		|

Factory Stocks= INTEG (
	beer to F inventory-factory shipments,
		12)
	~	
	~		|

mail lag=
	1
	~	
	~	1 week lag for the mail
	|

R backlog reduction=
	4
	~	
	~		|

R Order Backlog= INTEG (
	customer orders-R backlog reduction,
		4)
	~	
	~		|

R Orders in mail= INTEG (
	R Orders posted-w orders,
		4)
	~	
	~		|

Retail Stocks= INTEG (
	arrivals at retail-sales,
		12)
	~	
	~		|

sales=
	4
	~	
	~		|

shipping lag=
	1
	~	
	~	1 week to make the shipment
	|

stage 1 lag=
	1
	~	
	~		|

stage 2 lag=
	1
	~	
	~		|

W backlog reduction=
	4
	~	
	~		|

W Order Backlog= INTEG (
	w orders-W backlog reduction,
		4)
	~	
	~		|

w orders=
	DELAY FIXED(R Orders posted, mail lag,4)
	~	
	~		|

W orders in mail= INTEG (
	W Orders posted-D orders,
		4)
	~	
	~		|

Wholesale Stocks= INTEG (
	arrivals at Wholesale-wholesaler shipments,
		12)
	~	
	~		|

wholesaler shipments=
	4
	~	
	~		|

********************************************************
	.Control
********************************************************~
		Simulation Control Parameters
	|

FINAL TIME  = 24
	~	Week
	~	The final time for the simulation.
	|

INITIAL TIME  = 0
	~	Week
	~	The initial time for the simulation.
	|

SAVEPER  = 
        TIME STEP 
	~	Week [0,?]
	~	The frequency with which output is stored.
	|

TIME STEP  = 1
	~	Week [0,?]
	~	The time step for the simulation.
	|

\\\---/// Sketch information - do not modify anything except names
V300  Do not put anything below this section - it will be ignored
*Model Diagram
$192-192-192,0,Times New Roman|12||0-0-0|0-0-0|0-0-255|-1--1--1|-1--1--1|96,96,5
10,1,Distributor Stocks,1014,769,54,37,3,3,0,16,0,5,0,0,0-0-0,0-0-0,|12|B|0-0-0
10,2,Beer in Transit to Distributors,1240,771,44,34,3,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0
1,3,5,1,4,0,0,22,0,0,0,-1--1--1,,1|(1102,767)|
1,4,5,2,100,0,0,22,0,0,0,-1--1--1,,1|(1172,767)|
11,5,908,1143,767,6,8,34,3,0,0,1,0,0,0
10,6,arrivals at distributor,1143,794,33,19,40,3,0,0,-1,0,0,0
10,7,shipping lag,1243,855,40,15,8,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0
1,8,7,6,1,0,0,0,0,64,0,-1--1--1,,1|(1161,835)|
10,9,Beer in Transit to Wholesalers,816,774,38,28,3,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0
1,10,12,9,4,0,0,22,0,0,0,-1--1--1,,1|(880,765)|
1,11,12,1,100,0,0,22,0,0,0,-1--1--1,,1|(939,765)|
11,12,940,912,765,6,8,34,3,0,0,1,0,0,0
10,13,distributor shipments,912,792,33,19,40,3,0,0,-1,0,0,0
10,14,Wholesale Stocks,596,774,48,33,3,3,0,16,0,5,0,0,0-0-0,0-0-0,|12|B|0-0-0
1,15,17,14,4,0,0,22,0,0,0,-1--1--1,,1|(673,764)|
1,16,17,9,100,0,0,22,0,0,0,-1--1--1,,1|(746,764)|
11,17,428,709,764,6,8,34,3,0,0,1,0,0,0
10,18,arrivals at Wholesale,709,791,34,19,40,3,0,0,-1,0,0,0
1,19,13,18,1,0,0,0,0,64,0,-1--1--1,,1|(813,823)|
10,20,shipping lag,812,847,44,15,8,2,0,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128
1,21,20,18,1,0,0,0,0,64,0,-1--1--1,,1|(750,830)|
10,22,Beer in Transit to Retailers,385,779,40,33,3,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0
10,23,Retail Stocks,190,781,41,39,3,3,0,16,0,5,0,0,0-0-0,0-0-0,|12|B|0-0-0
1,24,26,23,4,0,0,22,0,0,0,-1--1--1,,1|(257,779)|
1,25,26,22,100,0,0,22,0,0,0,-1--1--1,,1|(320,779)|
11,26,380,289,779,6,8,34,3,0,0,1,0,0,0
10,27,arrivals at retail,289,809,36,22,40,3,0,0,-1,0,0,0
1,28,30,22,4,0,0,22,0,0,0,-1--1--1,,1|(456,775)|
1,29,30,14,100,0,0,22,0,0,0,-1--1--1,,1|(524,775)|
11,30,780,494,775,6,8,34,3,0,0,1,0,0,0
10,31,wholesaler shipments,494,802,42,19,40,3,0,0,-1,0,0,0
1,32,31,27,1,0,0,0,0,64,0,-1--1--1,,1|(408,839)|
10,33,shipping lag,342,863,46,11,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|12||128-128-128
1,34,33,27,1,0,0,0,0,64,0,-1--1--1,,1|(280,844)|
12,35,48,29,777,10,8,0,3,0,0,-1,0,0,0
1,36,38,35,4,0,0,22,0,0,0,-1--1--1,,1|(70,781)|
1,37,38,23,100,0,0,22,0,0,0,-1--1--1,,1|(131,781)|
11,38,48,107,781,6,8,34,3,0,0,1,0,0,0
10,39,sales,107,800,17,11,40,3,0,0,-1,0,0,0
12,40,0,693,921,391,14,3,4,0,16,-1,1,0,0,0-0-0,0-0-0,|12|B|0-0-0
<<<<==========             Beer is shipped from right to left       ====================
12,41,0,715,167,391,14,3,4,0,20,-1,1,0,0,0-0-0,255-128-0,|12|B|0-0-0
==========  Orders are mailed from left to right      =============== >>>>
12,42,0,335,220,63,30,8,4,0,24,-1,0,0,0,0-0-0,0-0-0,|18|B|0-0-0
R for Retailers
12,43,0,1425,194,43,26,8,4,0,24,-1,0,0,0,0-0-0,0-0-0,|18|B|0-0-0
F for Factory
12,44,0,1122,210,66,26,8,4,0,24,-1,0,0,0,0-0-0,0-0-0,|18|B|0-0-0
D for Distributors
12,45,0,729,214,66,26,8,4,0,24,-1,0,0,0,0-0-0,0-0-0,|18|B|0-0-0
W for Wholesalers
10,46,R Order Backlog,237,339,40,20,3,3,0,0,0,0,0,0
10,47,R Orders in mail,490,405,40,20,3,3,0,4,0,0,0,0,0-0-0,255-128-0,|12||0-0-0
10,48,W Order Backlog,630,339,40,20,3,3,0,0,0,0,0,0
10,49,W orders in mail,908,402,40,20,3,3,0,4,0,0,0,0,0-0-0,255-128-0,|12||0-0-0
10,50,D Order Backlog,1034,323,40,20,3,3,0,0,0,0,0,0
10,51,D orders in mail,1312,382,40,20,3,3,0,4,0,0,0,0,0-0-0,255-128-0,|12||0-0-0
12,52,48,62,339,10,8,0,3,0,0,-1,0,0,0
1,53,55,46,4,0,0,22,0,0,0,-1--1--1,,1|(165,339)|
1,54,55,52,100,0,0,22,0,0,0,-1--1--1,,1|(96,339)|
11,55,48,127,339,6,8,34,3,0,0,1,0,0,0
10,56,customer orders,127,358,51,11,40,3,0,4,-1,0,0,0,0-0-0,255-128-0,|12||0-0-0
12,57,48,327,405,10,8,0,3,0,0,-1,0,0,0
1,58,60,47,4,0,0,22,0,0,0,-1--1--1,,1|(421,405)|
1,59,60,57,100,0,0,22,0,0,0,-1--1--1,,1|(358,405)|
11,60,48,386,405,6,8,34,3,0,0,1,0,0,0
10,61,R Orders posted,386,434,41,21,40,3,0,18,-1,0,0,0,0-0-0,255-128-0,|14|B|255-0-0
1,62,64,48,4,0,0,22,0,0,0,-1--1--1,,1|(548,333)|
1,63,64,47,100,0,0,22,0,0,0,-1--1--1,,1|(501,363)|
11,64,476,501,333,6,8,34,3,0,0,3,0,0,0
10,65,w orders,501,314,29,11,40,3,0,0,-1,0,0,0
1,66,61,65,1,0,0,0,0,64,0,-1--1--1,,1|(447,343)|
10,67,mail lag,404,297,22,9,8,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0
1,68,67,65,1,0,0,0,0,64,0,-1--1--1,,1|(471,283)|
12,69,48,224,450,10,8,0,3,0,0,-1,0,0,0
1,70,72,69,4,0,0,22,0,0,0,-1--1--1,,1|(223,422)|
1,71,72,46,100,0,0,22,0,0,0,-1--1--1,,1|(223,374)|
11,72,48,223,396,8,6,33,3,0,0,4,0,0,0
10,73,R backlog reduction,264,396,33,20,40,3,0,8,-1,0,0,0,0-0-0,255-128-0,|10||0-0-0
12,74,48,631,449,10,8,0,3,0,0,-1,0,0,0
1,75,77,74,4,0,0,22,0,0,0,-1--1--1,,1|(629,425)|
1,76,77,48,100,0,0,22,0,0,0,-1--1--1,,1|(629,378)|
11,77,48,629,404,8,6,33,3,0,0,4,0,0,0
10,78,W backlog reduction,680,404,43,17,40,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0
12,79,48,758,403,10,8,0,3,0,0,-1,0,0,0
1,80,82,49,4,0,0,22,0,0,0,-1--1--1,,1|(836,403)|
1,81,82,79,100,0,0,22,0,0,0,-1--1--1,,1|(780,403)|
11,82,48,798,403,6,8,34,3,0,0,1,0,0,0
10,83,W Orders posted,798,432,44,21,40,3,0,18,-1,0,0,0,0-0-0,0-0-0,|12|B|255-0-0
1,84,86,50,4,0,0,22,0,0,0,-1--1--1,,1|(956,326)|
1,85,86,49,100,0,0,22,0,0,0,-1--1--1,,1|(912,358)|
11,86,652,912,326,6,8,34,3,0,0,3,0,0,0
10,87,D orders,912,307,29,11,40,3,0,0,-1,0,0,0
1,88,83,87,1,0,0,0,0,64,0,-1--1--1,,1|(805,367)|
10,89,mail lag,795,313,29,9,8,2,0,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128
1,90,89,87,1,0,0,0,0,64,0,-1--1--1,,1|(847,287)|
12,91,48,1035,415,10,8,0,3,0,0,-1,0,0,0
1,92,94,91,4,0,0,22,0,0,0,-1--1--1,,1|(1035,394)|
1,93,94,50,100,0,0,22,0,0,0,-1--1--1,,1|(1035,356)|
11,94,48,1035,375,8,6,33,3,0,0,4,0,0,0
10,95,D backlog reduction,1088,375,45,17,40,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0
12,96,48,1176,384,10,8,0,3,0,0,-1,0,0,0
1,97,99,51,4,0,0,22,0,0,0,-1--1--1,,1|(1243,383)|
1,98,99,96,100,0,0,22,0,0,0,-1--1--1,,1|(1194,383)|
11,99,48,1209,383,6,8,34,3,0,0,1,0,0,0
10,100,D Orders posted,1209,402,58,11,40,3,0,18,-1,0,0,0,0-0-0,0-0-0,|12|B|255-0-0
10,101,F Order Backlog,1449,312,40,20,3,3,0,0,0,0,0,0
10,102,mail lag,1206,280,29,9,8,2,0,11,-1,0,0,0,128-128-128,0-0-0,|10||128-128-128
12,103,48,1422,421,10,8,0,3,0,0,-1,0,0,0
1,104,106,103,4,0,0,22,0,0,0,-1--1--1,,1|(1425,391)|
1,105,106,101,100,0,0,22,0,0,0,-1--1--1,,1|(1425,344)|
11,106,48,1425,363,8,6,33,3,0,0,4,0,0,0
10,107,F backlog reduction,1468,363,35,29,40,3,0,8,-1,0,0,0,0-0-0,0-0-0,|10||0-0-0
1,108,110,101,4,0,0,22,0,0,0,-1--1--1,,1|(1367,313)|
1,109,110,51,100,0,0,22,0,0,0,-1--1--1,,1|(1319,341)|
11,110,300,1319,313,6,8,34,3,0,0,3,0,0,0
10,111,F orders,1319,294,28,11,40,3,0,0,-1,0,0,0
1,112,102,111,1,0,0,0,0,64,0,-1--1--1,,1|(1259,279)|
1,113,100,111,1,0,0,0,0,64,0,-1--1--1,,1|(1247,338)|
10,114,Beer in 1st Stage,1574,487,40,27,3,3,0,0,0,2,0,0
10,115,Beer in 2nd Stage,1581,663,39,30,3,3,0,0,0,2,0,0
12,116,48,1575,355,10,8,0,3,0,0,-1,0,0,0
1,117,119,114,4,0,0,22,0,0,0,-1--1--1,,1|(1577,436)|
1,118,119,116,100,0,0,22,0,0,0,-1--1--1,,1|(1577,381)|
11,119,48,1577,406,8,6,33,3,0,0,4,0,0,0
10,120,F start production,1627,406,42,19,40,3,0,18,-1,0,0,0,0-0-0,0-0-0,|12|B|255-0-0
1,121,123,115,4,0,0,22,0,0,0,-1--1--1,,1|(1583,606)|
1,122,123,114,100,0,0,22,0,0,0,-1--1--1,,1|(1583,541)|
11,123,220,1583,574,8,6,33,3,0,0,4,0,0,0
10,124,beer maturation,1640,574,49,11,40,3,0,0,-1,0,0,0
10,125,Factory Stocks,1469,765,43,37,3,3,0,0,0,5,0,0
1,126,128,125,4,0,0,22,0,0,0,-1--1--1,,1|(1594,765)|
1,127,128,115,100,0,0,22,0,0,0,-1--1--1,,1|(1594,699)|
11,128,684,1594,712,8,6,33,3,0,0,4,0,0,0
10,129,beer to F inventory,1651,712,49,20,40,3,0,0,-1,0,0,0
1,130,132,2,4,0,0,22,0,0,0,-1--1--1,,1|(1323,769)|
1,131,132,125,100,0,0,22,0,0,0,-1--1--1,,1|(1400,769)|
11,132,892,1368,769,6,8,34,3,0,0,1,0,0,0
10,133,factory shipments,1368,797,35,20,40,3,0,0,-1,0,0,0
1,134,120,124,1,0,0,0,0,64,0,-1--1--1,,1|(1646,453)|
1,135,124,129,1,0,0,0,0,64,0,-1--1--1,,1|(1668,685)|
10,136,stage 1 lag,1686,470,22,28,8,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0
10,137,stage 2 lag,1690,627,20,20,8,3,0,8,0,0,0,0,0-0-0,0-0-0,|10||0-0-0
1,138,136,124,1,0,0,0,0,64,0,-1--1--1,,1|(1697,493)|
1,139,137,129,1,0,0,0,0,64,0,-1--1--1,,1|(1678,705)|
1,140,133,6,1,0,0,0,0,64,0,-1--1--1,,1|(1279,817)|
10,141,Time,93,261,26,11,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|12||128-128-128
1,142,141,56,1,0,0,0,0,64,0,-1--1--1,,1|(84,305)|
1,143,56,61,1,0,0,0,0,64,0,-1--1--1,,1|(250,293)|
1,144,65,83,1,0,0,0,0,64,0,-1--1--1,,1|(604,293)|
1,145,87,100,1,0,0,0,0,64,0,-1--1--1,,1|(1049,262)|
1,146,111,120,1,0,0,0,0,64,0,-1--1--1,,1|(1576,321)|
10,147,R effective inventory,130,520,34,19,8,3,0,0,0,0,0,0
1,148,46,147,1,0,0,0,0,64,0,-1--1--1,,1|(163,401)|
1,149,23,147,1,0,0,0,0,64,0,-1--1--1,,1|(119,725)|
10,150,R shortfall,270,475,33,11,8,3,0,0,0,0,0,0
10,151,R target,226,545,26,11,8,3,0,0,0,0,0,0
1,152,151,150,1,0,0,0,0,64,0,-1--1--1,,1|(226,507)|
1,153,147,150,1,0,0,0,0,64,0,-1--1--1,,1|(195,484)|
10,154,fr of shortfall ordered per week,417,522,46,42,8,3,0,0,0,0,0,0
1,155,150,61,1,0,0,0,0,64,0,-1--1--1,,1|(313,459)|
1,156,154,61,1,0,0,0,0,64,0,-1--1--1,,1|(409,474)|
10,157,fr of shortfall ordered per week,775,539,51,36,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|12||128-128-128
10,158,fr of shortfall ordered per week,1217,512,41,36,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|12||128-128-128
10,159,fr of shortfall ordered per week,1611,255,48,45,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|12||128-128-128
10,160,W effective inventory,542,564,37,19,8,3,0,0,0,0,0,0
10,161,D effective inventory,986,542,35,19,8,3,0,0,0,0,0,0
10,162,F effective inventory,1381,535,34,19,8,3,0,0,0,0,0,0
10,163,W shortfall,636,482,35,11,8,3,0,0,0,0,0,0
10,164,D shortfall,1096,480,33,11,8,3,0,0,0,0,0,0
10,165,F shortfall,1467,444,32,11,8,3,0,0,0,0,0,0
10,166,W target,640,559,29,11,8,3,0,0,0,0,0,0
10,167,D target,1084,577,27,11,8,3,0,0,0,0,0,0
10,168,F target,1469,547,26,11,8,3,0,0,0,0,0,0
1,169,14,160,1,0,0,0,0,64,0,-1--1--1,,1|(535,629)|
1,170,48,160,1,0,0,0,0,64,0,-1--1--1,,1|(568,441)|
1,171,160,163,1,0,0,0,0,64,0,-1--1--1,,1|(585,504)|
1,172,166,163,1,0,0,0,0,64,0,-1--1--1,,1|(641,511)|
1,173,163,83,1,0,0,0,0,64,0,-1--1--1,,1|(689,455)|
1,174,157,83,1,0,0,0,0,64,0,-1--1--1,,1|(756,478)|
1,175,1,161,1,0,0,0,0,64,0,-1--1--1,,1|(966,691)|
1,176,50,161,1,0,0,0,0,64,0,-1--1--1,,1|(977,471)|
1,177,161,164,1,0,0,0,0,64,0,-1--1--1,,1|(1034,490)|
1,178,164,100,1,0,0,0,0,64,0,-1--1--1,,1|(1128,448)|
1,179,158,100,0,0,0,0,0,64,0,-1--1--1,,1|(1212,451)|
1,180,167,164,1,0,0,0,0,64,0,-1--1--1,,1|(1070,536)|
1,181,125,162,1,0,0,0,0,64,0,-1--1--1,,1|(1399,617)|
1,182,162,165,1,0,0,0,0,64,0,-1--1--1,,1|(1411,467)|
1,183,101,162,1,0,0,0,0,64,0,-1--1--1,,1|(1375,384)|
1,184,165,120,1,0,0,0,0,64,0,-1--1--1,,1|(1501,412)|
1,185,159,120,1,0,0,0,0,64,0,-1--1--1,,1|(1628,313)|
1,186,168,165,1,0,0,0,0,64,0,-1--1--1,,1|(1468,502)|
12,187,0,302,635,186,62,3,4,0,24,-1,5,0,0,0-0-0,0-0-0,|22|B|0-0-0
Model #3:  Explain the Orders Posted (The key decisions in the game)
\\\---/// Sketch information - do not modify anything except names
V300  Do not put anything below this section - it will be ignored
*View 2
$192-192-192,0,Times New Roman|12||0-0-0|0-0-0|0-0-255|-1--1--1|-1--1--1|96,96,5
///---\\\
:GRAPH Orders
:TITLE Orders per Week
:SCALE
:VAR customer orders
:Y-MIN 0
:LINE-WIDTH 2
:VAR R Orders posted
:LINE-WIDTH 1
:VAR W Orders posted
:LINE-WIDTH 1
:VAR D Orders posted
:LINE-WIDTH 1
:VAR F start production
:LINE-WIDTH 1

:GRAPH Backlogs
:TITLE Backlogs
:SCALE
:VAR R Order Backlog
:Y-MIN 0
:LINE-WIDTH 1
:VAR W Order Backlog
:LINE-WIDTH 1
:VAR D Order Backlog
:LINE-WIDTH 1
:VAR F Order Backlog
:LINE-WIDTH 1
:L<%^E!@
1:Current.vdf
9:Current
23:0
15:0,0,0,0,0,0
19:5,0
27:2,
4:Time
5:F start production
24:0
25:24
26:24