The following questions are based on the problem below and accompanying Analytic Solver Platform sensitivity report. Carlton construction is supplying building materials for a new mall construction project in Kansas. Their contract calls for a total of 250,000 tons of material to be delivered over a three-week period. Carlton's supply depot has access to three modes of transportation: a trucking fleet, railway delivery, and air cargo transport. Their contract calls for 120,000 tons delivered by the end of week one, 80% of the total delivered by the end of week two, and the entire amount delivered by the end of week three. Contracts in place with the transportation companies call for at least 45% of the total delivered be delivered by trucking, at least 40% of the total delivered be delivered by railway, and up to 15% of the total delivered be delivered by air cargo. Unfortunately, competing demands limit the availability of each mode of transportation each of the three weeks to the following levels (all in thousands of tons):

Week	Trucking Limits	Railway Limits	Air Cargo Limits
1	45	60	15
2	50	55	10
3	55	45	5
Costs ($ per 1000 tons)	$200	$140	$400

The following is the LP model for this logistics problem.

Let	Xij = amount shipped by mode i in week j
	where i = 1(Truck), 2(Rail), 3(Air)
	and j = 1, 2, 3
Let	WLij = weekly limit of mode i in week j (as provided in above table)
MIN:	200(X11 + X12 + X13) + 140(X21 + X22 + X23) + 500(X31 + X32 + X33)
Subject to:
Xij WL ij for all i and j	Weekly limits by mode
X11 + X12 + X13 + X21 + X22 + X23 + X31 + X32 + X33 250	Total at end of three weeks
X11 + X21 + X31 + X12 + X22 + X32 200	Total at end of two weeks
X11 + X21 + X31 120	Total at end of first week
X11 + X12 + X13 0.45*250	Truck mix requirement
X21 + X22 + X23 0.40*250	Rail mix requirement
X31 + X32 + X33 0.15*250	Air mix limit
Xij 0 for all i and j

		Final	Reduced	Objective	Allowable	Allowable
Cell	Name	Value	Cost	Coefficient	Increase	Decrease
$D$6	Week 1 by Truck	45	0	200	360	1E+30
$E$6	Week 1 by Rail	60	0	140	360	1E+30
$F$6	Week 1 by Air	15	0	500	1E+30	360
$D$7	Week 2 by Truck	50	0	200	0	1E+30
$E$7	Week 2 by Rail	55	0	140	0	1E+30
$F$7	Week 2 by Air	0	360	500	1E+30	360
$D$8	Week 3 by Truck	13	0	200	1E+30	0
$E$8	Week 3 by Rail	12	0	140	60	0
$F$8	Week 3 by Air	0	360	500	1E+30	360
Constraints
		Final	Shadow	Constraint	Allowable	Allowable
Cell	Name	Value	Price	R.H. Side	Increase	Decrease
$D$18	Week 1 by Truck	45	360	45	13	0
$E$18	Week 1 by Rail	60	360	60	15	0
$F$18	Week 1 by Air	15	0	15	1E+30	0
$D$19	Week 2 by Truck	50	0	50	13	25
$E$19	Week 2 by Rail	55	0	55	12	25
$F$19	Week 2 by Air	0	0	10	1E+30	10
$D$20	Week 3 by Truck	13	0	55	1E+30	42
$E$20	Week 3 by Rail	12	0	45	1E+30	33
$F$20	Week 3 by Air	0	0	5	1E+30	5
$D$9	Shipped by Truck	108	60	108	12	13
$E$9	Shipped by Rail	127	0	100	27	1E+30
$F$13	Total Shipped Tons	250	140	250	33	0
$F$9	Shipped by Air	15	0	37.5	1E+30	22.5
$G$6	Week 1 Totals	120	360	120	0	15
$G$7	Week 2 Totals	225	0	200	25	1E+30
$G$8	Week 3 Totals	250	0	250	0	1E+30

The Week 1 by Truck and Week 1 by Rail constraints each have a shadow price of 360. What do these values imply?