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David Pasquarello Ikon Office Solutions

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1 David Pasquarello Ikon Office Solutions
Demo Room Utilization David Pasquarello Ikon Office Solutions

2 Project Team Champion – Ron Race and Len Hall
Black Belt- David Pasquarello Financial Analyst – Carol Uhlig Process Owner – Carlyle Singer Team Members: IT Support – Rick Faber Marketing – Annette McCrary Supply Chain – Greg Driscoll./ Brian Kehoe Real Estate – Tom Pero Professional Services – Steve Sebolt and Rusty Harrison Sales Mike Jackman and Larry Halfin Master Black Belt – Bob Conrad Critical that instructor be able to see the title descriptions of the members to ensure the right people are represented on the team.

3 Background – Current Process
Within Ikon we don’t have a consistent process for deployment, utilization and control of demo room assets. There are three types of demo rooms A, B and C. “A” being the largest with the most product, and “C” being the smallest. Marketing decides the product deployed to each demo room. We have a recommended equipment configuration list for all three types of demo rooms. The Marketplace is free to add or remove equipment.

4 Project Definition Problem Statement:
There is inconsistent deployment, utilization and control of demo room assets throughout the country. At present, these assets total approximately $42 million. This project will focus on determining cost effective levels and efficient allocation of these assets, specifically in the Northeast Region. There is currently a national initiative to reduce assets deployed at C Demo Rooms and to eliminate floor space by utilizing these assets in the working sales office area, instead of in a dedicated demo room. This project will help to analyze the effect of this initiative as well.

5 Project Definition Problem Statement: There is inconsistent deployment and utilization of demo room assets throughout the country. At present, IKON has assets deployed to demo rooms nation wide totaling approximately $42 million.

6 Project Definition, Cont’d
Project Objective Analyze all Demo Rooms and assets in those rooms in the Northeast Region, including the Greenville SC demo room. Measure the frequency of use of each demo room, and each asset in class A&B showrooms. Reduce the inventory value in the showrooms while installing the equipment the customer wants to be shown. Anticipated completion date December 15, 2003. .

7 Project Definition, Cont’d
Financial Benefits: The hard dollar benefit is a result of reducing inventory in the showrooms. Using a cost of capital percentage of 8%, for every $1.0 million we reduce inventory IKON saves $80,000 annually. Project Metric “Y”: Measure = Frequency of use of each demo room asset in of all demo rooms class A&B in scope. Measure = Frequency of use of each demo room.

8 Project Definition, Cont’d
Defect Definition: Ikon has $9.4 million of inventory deployed to demo rooms in the NE region. This number has already been reduced to $5.4 million via the current initiative. This project will use the $5.4 million as the baseline. We need to know if this is the equipment the customer wants to see. The defect is equipment that is not being utilized. If the equipment is not being used we want it removed. Leveragability: Leverage benefits of improved asset allocation to all Regions. Current inventory committed to all other Regions is approximately $32.6 million.

9 Project Definition, Cont’d
Defect Definition: The defect is equipment or demo rooms that are not being used. Equipment customers want to see will be used. If the equipment is not being used we want it removed. Leveragability: We can leverage this to all other regions. Current inventory committed to all other Regions is approximately $32.6 million.

10 We have both x and Big Y data from the Marketplace demo rooms.
Progress We have data…finally! We have both x and Big Y data from the Marketplace demo rooms. No conclusions yet but a good foundation started. The rooms are currently being restocked after year end. Here are some findings….

11 Total Demos Per week

12 Descriptive Statistics

13 Descriptive Statistics
Normal?

14 Fat Pencil test

15 Monthly Capability

16 Demos Per Model Sept 15 to Oct 10 2003
Not on the recommended inventory list

17 Demos Per Rep Sept 15 to Oct

18 Demo Room Utilization “A” Type Pilot Demo Room

19 Baltimore Boston Fairfield Harrisburg Manchester New York City
No Activity Sept 15 to Oct Baltimore Boston Fairfield Harrisburg Manchester New York City Portland Richmond State College

20 95% of the equipment was functional at the time of the demo.
Equipment Functional GOOD NEWS….. 95% of the equipment was functional at the time of the demo.

21 Communication Plan

22 CT Tree

23 SIPOC

24 Process Map

25 Tools used to identify Variables
Detailed process map Key points We only do a demo if the customer asks. We found variables that could cause a demo not to happen. We populated and ranked those variables in the Cause & Effect matrix. Administered a survey to answer a some high level questions.

26 Process Map Survey results
58% of our customers in the market want a demo Out of the 58% only 74% receive a demo 44% of our demonstrations given are in the showroom 54% are done other ways. Trials, Brochure, On site. 31% of the Showroom demonstrations are rescheduled or canceled due to Equipment being non functional or not available.

27 Out of 100 customers in the market for equipment 58 ask for a demo.
Survey results Out of 100 customers in the market for equipment 58 ask for a demo. 43 of the 58 are delivered a demo of some sort. 19 out of the 43 demonstrations given are in the showroom. The remainder of the 43 are done by trial or on site demonstrations.

28 C&E Diagram

29 Tools Used to identify Variables
Cause and effect matrix Key points The variables contributing the most to a demo taking place are. Sales Rep. Training Sales Rep. Experience Equipment in stock Enablers non functional Equipment being sold from the demo room floor

30 Cause & Effect Matrix Demo Room Utilization
C &E Matrix

31 Potential X’s Data box 1. Percentage of your customers that request a demo of any type? Data box 2. What percentage of box 1 typically get delivered? Data box 3. What percentage of the demonstrations delivered were in our show room? Data box 4. What percentage of the demonstrations delivered were on site trials or by brochure? Data box 5. What percentage of the demonstrations done in our showroom had to be rescheduled due to lack or equipment or equipment being non functional?

32 Data collection form

33 Data Collection We have demo room champions gathering data and reporting it to me once a week. Due to end of year activity demonstrations have been very low and data sketchy. Demo count is low do to end of year inventory reduction initiatives. We expect demo rooms to be re-stocked shortly after 10/01/03 to the recommended models.

34 Measure Phase In progress. Analyze Phase In progress.
Over all progress Define Phase Complete. Measure Phase In progress. Analyze Phase In progress. We are currently between Measure and Analyze as the data flows in. Improve Phase. Not started. Target date 11/21/03 We are looking for variable relationships as the data comes in and the rooms are re-stocked.

35 Monitor Re-Stocking of the demo rooms
Next Steps Monitor Re-Stocking of the demo rooms Continue to gather and analyze the data. Complete the FMEA. To confirm X’s. Survey our external demo room customers.

36 Project DMAIC Checklist/Status
Problem Statement: Black Belt: _______David Pasquarello____________________ CTS’s: _______________________________________________________ Project Champion: __Ron Race and Len Hall____________________ Defects to be Reduced: _________________________________________ Deployment Champion: __________________________________ Beginning DPMO/Sigma Level: ___________________________________ Master Black Belt:_______Scott Fowler_______________________ Final DPMO/Sigma Level: ________________________________________ Six Sigma Project DMAIC Checklist Project :________ _________________________________ Define Measure Analyze Improve Control Completion Date: q Discover Variable Relationships Establish Current Performance Establish Performance Objective ID Alternative Solutions Determine “Best Fit” Solution Establish Process Tolerances Update FMEA Develop Pilot Plan Pilot “Best Fit” Solution Validate Improved Performance Conduct Cost/Benefit Analysis Complete Improve Phase Project Review Redefine Process Capability Develop Control Plan Develop Mitigation Plan Implement Process Controls Develop Monitoring Plan Implement Process Control Plan Obtain Financial Validation Define Project Scope Initiate Team (Kick-off) ID Process Customers ID Process CTS’s ID Process Metrics (Y’s) Complete SIPOC Map Complete Define Phase Project Review Receive Approval to Move to the Measure Phase Control Phase Confirm Baseline Capability Identify Sources of Variation Complete Detailed Process Map Complete C&E Diagram & Matrix Complete FMEA Perform Data Collection for Analysis Screen Potential Causes Conduct Graphical Analysis - Conduct Hypothesis Testing Complete Root Cause Analysis Analyze Phase Develop Data Collection & Sampling Plan Identify Potential X’s Validate Measurement System Collect Data on Y’s Perform Capability Analysis Voice of Process/Benchmark Define Performance Objectives Complete Measure Phase Project Review Receive Approval to Close the Project Complete Control Phase Project Review Obtain Financial Analyst Sign Off Obtain MBB Sign Off Obtain Project Champion Sign Off Obtain Steering Committee Sign Off Complete Analyze Phase Leverage Project within Organization


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