Try adding these two measures:

NoOfOrderLines running total in Days = 
CALCULATE(
	SUM('Table'[NoOfOrderLines]),
	FILTER(
		ALLSELECTED('Table'[Days]),
		ISONORAFTER('Table'[Days], MAX('Table'[Days]), DESC)
	)
)

% Calc = DIVIDE([NoOfOrderLines running total in Days], Max('Table'[TotalNoOfLines]))

and format the % measure as

Table visual:

Pareto chart visual using Line and stacked column chart

output:

 Hope it helps!

I looked into your file and tried to understand some and could not get what is target of 90%. 

Providing the details of measures, tune the names and syntax for your needs.

1. Counts Full Consolidation at Origin = 
VAR FullOrderConsolidation = FILTER(
                                 SUMMARIZE('DataTable','DataTable'[Order_ID], 'DataTable'[Delivery_Type]), 
                                 'DataTable'[Delivery_Type] = "Full consolidation at origin")

Return COUNTROWS(FullOrderConsolidation)

1. Counts Ship as Available = 

VAR ShipAsAvailable = FILTER('DataTable', 'DataTable'[Delivery_Type] = "Ship as available")

Return COUNTROWS(ShipAsAvailable)

2. No of order lines = [1. Counts Ship as Available] + [1. Counts Full Consolidation at Origin]

3. Cumulative Total No of order lines = 
CALCULATE( [2. No of order lines], FILTER( ALLSELECTED('DataTable'), 'DataTable'[SC_TAT] <= MAx('DataTable'[SC_TAT])))

3. Running % CT and Total = 
DIVIDE( [3. Cumulative Total No of order lines], CALCULATE( [2. No of order lines], ALLSELECTED('DataTable') ), BLANK())

Sample output:

Note: You have to check your requirements as SC_TAT going up to 400 values on x-axis, which is not good in my view. 

Hope this helps!