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®. Customer Service Opportunity Model Customer Service Variance Customer Service Adjusted Workload.

Jan 16, 2016

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Ashlynn Clarke
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Page 1: ®.  Customer Service Opportunity Model  Customer Service Variance  Customer Service Adjusted Workload.

®

Page 2: ®.  Customer Service Opportunity Model  Customer Service Variance  Customer Service Adjusted Workload.

Customer Service Opportunity Model

Customer Service Variance

Customer Service Adjusted Workload

Page 3: ®.  Customer Service Opportunity Model  Customer Service Variance  Customer Service Adjusted Workload.

Function Four Variance Programs

CSV

CSSOM

CSAW

Management Tools

Supervisory Tool

Page 4: ®.  Customer Service Opportunity Model  Customer Service Variance  Customer Service Adjusted Workload.

Data Elements:End of Run - Auto/Mech Volumes

eFlash - Distribution, Box Volumes and

Workhours

WOS Earned Hours and Workload

WebVARS – Vending

Address Mgmt System – Routes/ Deliveries

WebCOINS – On Rolls Complement and

MPOO Designation

Page 5: ®.  Customer Service Opportunity Model  Customer Service Variance  Customer Service Adjusted Workload.

CSSOM Identifies a 52 Week by Week Trend Using Established AWPS (Automated Workforce Projection System) Productivity Assumptions

Also Includes the FollowingFY07 Base DataAWPS Other TimeActual DPS Percentage (Box Section)

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CDPOM Equivalent to Function Four Overall Trend Analysis Which Allow

Planning Ahead and Looking Behind

Engine that Drives CSSOM Data Behind CSSOM Drill Down Capability to the Unit Level

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Interactive Supervisor Daily Tool to Determine Value of Workload

Manage Workhours to Workload

Allows Supervisor to Right Size Daily Scheduling of Employees in the Various Function Four Activities

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Report will reflect performance based on the scope of time selected

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AWPS Data Elements – Automated import into CSV

End of Run, eFlash, WOS, AMS, WebVars, WebCoins

Updated back to start of FY every week

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CSV Executive Summary

Percent Achieved in Auto/Mech, Manual, Retail, and Admin.

Auto/Mech, Manual, and Retail Volume Variance to Base

FTES Actual, Earned, and Variance

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Floating Icon

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AWPS breakdown of all LDC 48 workload by type

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Select Customer Service Adjusted Workload (CSAW)

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CSAW houses trend average daily volumefor each data element over the past 12 week

Based on the allocation by the user, CSAW projects the average volume for each

day of the coming week

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CSAW houses AWPS productivity factorsfor each data element

Based on trend volume, average earned daily workhours are projected for each

data element

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CSAW then calculates the earned value of the workloadby LDC and by day for the coming week

The projected workload value for the week creates the projectednumber of hours to schedule to each day

0.00 0.000.000.000.000.00 0.00 0.00

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Click on day of weekEnter Dist and Box Volume

Post Daily Volume

46.49

70.79

92.94

19.95

00.00

11.53

231

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WOS transactions and SSA volume daily feed

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Earned workhour value by LDCadjusts according to volume

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TACS workhours by LDC for previous dayImport every morning by 6AM local time

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Running total for the week,Actual plus projected values

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Select Customer Service Adjusted Workload Performance Review for previous week

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Daily distribution and Box volume From manual entry

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Daily Retail transactions and SSA volume – Automatic feed from WOS

Target 6AM local time

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Vending LDC 46 and Admin LDC 48Daily value as allocated by end user

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Earned Hours by LDC by dayTotal for the week

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TACS actual Hours by LDC by dayTotal for the week

Target import by 6AM local time

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Daily variance by LDC by dayTotal for the week

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Daily hours per posted scheduleTotal for the week

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Weekly variance by LDC Total for the week

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Sick Leave, Over time, Penalty OT Total for the week

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Total CSV F4 Variance for the week,Broken down to the day

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CSSOM / CSV / CSAW

Dynamic F-4 Performance Models

Standardized MethodologyStandardized Data SourceNational to Unit Level Line of SiteForecasting - Plan Ahead, Track BehindRelevant, Actionable Data