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Conclusion - Cummins

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Vicki Pafumi<br />

Reduce Expense<br />

to Sales Ratio<br />

(Branches – Muswellbrook and Emerald)


2<br />

Reduce Expense to Sales Ratio<br />

Project: Reduce Expense to Sales ratio (Branches – Muswellbrook and<br />

Emerald) from 30.3% to 21.4% while maintaining Gross Margin<br />

Belt: Vicki Pafumi<br />

Sponsor: Col Russell & Shane Jones<br />

RDO/ Distributor / Entity: South Pacific<br />

Net Annual Saving: $1,684,967<br />

Days to Close: 160<br />

Project closure date: 21/7/2008 (as on 6S database)<br />

Project closure status: Green<br />

CFSS: No


3<br />

Project Savings –<br />

Financial Model Project Closure


4<br />

Outstanding Aspects of the Project<br />

� The significant improvement in the “Y” variable which equated to $1.7M US.<br />

� The “Y” variable has continued to improve due to an effective and detailed control plan<br />

increasing the savings to $2M US.<br />

� Excellent experience for the two Branch Managers with respect to the involvement in a<br />

6S project and 6S awareness, all the specific training they received and also substantial<br />

financial support to maximise their PBIT.<br />

� When the Labour rate model was produced this was utilised for all locations<br />

� The effective policies and procedures have impacted all of the business.<br />

� The “How To” manual has continued to improve to a stage where all branches<br />

now have an effective Service Manual. This has been developed and implemented by<br />

Ainslie Perkins. Fantastic work.<br />

� The Tool Box Sessions and audits have ensured compliance.<br />

� The review of the ASSW form has ensured all ASSW jobs are authorized and that follow<br />

up on what training and / or support the technician or apprentice should receive.<br />

� The key to this project was the rigorous training of both the Branch Managers<br />

and Service Administrators especially in Emerald where they had all new staff.


5<br />

Project Y variable, as of Dec’08/Jan’09<br />

Since project closure the Y has improved from 15.2% to 12.45%


6<br />

Project Y variable, as of Dec’08/Jan’09<br />

Highlight that<br />

Baseline Cpk<br />

baseline of<br />

-0.173 to Post<br />

Closure value<br />

Cpk of 0.439<br />

I have changed<br />

the LSL to 10 to<br />

reflect the lower<br />

numbers we are<br />

now seeing


7<br />

C&E Break Points & Taking to FMEA<br />

Reality Check of What’s Appropriate to Take to FMEA<br />

� Taking top 5 Process Inputs from C&E<br />

� These are:<br />

– Hours charged to all service work<br />

– Hours allocated on timesheet<br />

– Standard Cost per hour<br />

– Transfer of hours at the end of the job<br />

– Rework on jobs C&E Break Points<br />

600<br />

500<br />

400<br />

300<br />

200<br />

100<br />

0<br />

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17<br />

Series1


8<br />

FMEA – Summary<br />

� Through the FMEA process the key inputs increased to 13 due to<br />

more than one failure mode per input. However, these can be<br />

combined so in fact 4 main inputs will go through to the next process.<br />

– Hours Charged is Labour Utilisation<br />

– Lost Time<br />

– Standard Cost<br />

– Rework


9<br />

Multi-vari Plan


10<br />

Multi-vari Study – X1<br />

<strong>Conclusion</strong> on X1<br />

� Using One way Anova R2 Adjusted denotes that X1 has 38% impact<br />

on your Y variable<br />

� P value < .05 therefore there is variation between two branches<br />

� If we improve variation between locations and improve Emerald<br />

up to Muswellbrook we will have a big impact on our Y


11<br />

Multi-vari Study – X4<br />

ASSW % of COS<br />

Exp % Sales<br />

0.5<br />

0.4<br />

0.3<br />

0.2<br />

0.1<br />

0.0<br />

Fitted Line Plot<br />

Exp % Sales = 0.2607 + 0.6379 ASSW % of COS<br />

0.1<br />

0.2<br />

ASSW % of COS<br />

<strong>Conclusion</strong>: Slope of �tted line =/ zero therefore there is correlation<br />

0.3<br />

0.4<br />

S 0.0936579<br />

R-Sq 35.0%<br />

R-Sq(adj) 29.1%


12<br />

Multi-vari Study – X4<br />

ASSW % of COS<br />

Regression Analysis: Exp % Sales versus ASSW % of COS<br />

The regression equation is<br />

Exp % Sales = 0.2607 + 0.6379 ASSW % of COS<br />

S = 0.0936579 R-Sq = 35.0% R-Sq(adj) = 29.1%<br />

Analysis of Variance<br />

Source DF SS MS F P<br />

Regression 1 0.052041 0.0520409 5.93 0.033<br />

Error 11 0.096490 0.0087718<br />

Total 12 0.148531<br />

Fitted Line: Exp % Sales versus ASSW % of COS<br />

<strong>Conclusion</strong> : Using regression R2 Adjusted denotes that X4 has 29.1%<br />

impact on your Y variable, P Value < .05 significant correlation


13<br />

Schedule of Improvements<br />

1<br />

2<br />

3<br />

4<br />

5<br />

6<br />

7<br />

8<br />

9<br />

10<br />

No.<br />

Release Policies<br />

Improvement<br />

Update Labour Rate<br />

Policy toolbox sessions & Random<br />

Audits<br />

Add estimated job hours to hard card<br />

Review and release of Short Term<br />

Relocation Policy<br />

Review TM’s project<br />

“How To” for Service Administrator<br />

Implement ASSW Correction Form<br />

Audits on ASSW to review<br />

authorisation<br />

Branch Manager Training<br />

Service Administrator Training<br />

AP<br />

BM’s<br />

All / CR<br />

VP<br />

AP / VP /<br />

RC<br />

BM’s<br />

Resp<br />

BM’s / RC<br />

BM’s / VP /<br />

AP<br />

VP / AP /<br />

BM’s /<br />

SA’s<br />

Due Date<br />

30/6/2008<br />

31/4/2008<br />

31/4/2008<br />

4/7/2008<br />

20/6/2008<br />

20/6/2008<br />

5/6/2008<br />

20/6/2008<br />

3/6/2008<br />

30/6/2008<br />

10/6/2008<br />

4/7/2008<br />

Comp Y / N<br />

Y<br />

Y<br />

Y<br />

Y<br />

Y<br />

Y<br />

Y<br />

Y<br />

Y<br />

Y<br />

Y<br />

Y


14<br />

Control Plan<br />

This control plan has given the Branch Managers the effective tools to manage<br />

crucial parts of their business. Four of these items are automatic uploads of data<br />

so are very easy to manage


15<br />

Project Savings –<br />

Financial Model Project Post Closure<br />

Since project closure<br />

the “Y” has continued<br />

to improve to 12.5%<br />

this equates to USD<br />

$1,995,797 savings

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