Deliverables High Level Process Map...

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Transcript of Deliverables High Level Process Map...

Page 1: Deliverables High Level Process Map SIPOCbreakthrough-performance.com/wp-content/uploads/2020/05/Sample... · delivery is exceeding the 2 day standard for 25% of work orders causing
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Deliverables

• Project Charter

• High Level Process Map

• SIPOC

• SWOT Analysis

• CTQ’s (Critical to Quality Customer Requirements)

• Cost of Poor Quality

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Project Charter

Project Name:

Work Order Development

Business Case:

Eliminating late Work Orders will improve on time deliveries to customers; improve production scheduling

and plant capacity, reduce errors, rework and OT, and improve customer satisfaction which will increase

margins by 2% or approximately $100,000 per year.

Problem/Opportunity: Scope, Constraints, Assumptions:

25% of work orders are late Start: Quote Stop: Hand-off of work order

to plant In-bounds: Sales, Quoting,

Design, Customer Service Out of bounds:

Manufacturing, Shipping

Goal: Team Members:

Eliminate all late work orders. Set milestones for improvement

at reduction to 10% in one month, reduction to 2% or less in

two months Deliverables: On-time

Work Orders, On-Time deliveries, Best practice procedures

Dave (VP) Champion, Denise (Customer

Service) Process Owner, Pat (Production

Manager) Team Member, Cindy

(Accounting) Team Member, Jim (Quoting)

Team Member, Richard (Design) Team

Member

Preliminary Project Plan Target Date Actual Date

Define 4/27/2009 4/27/2009

Measure 4/29/2009 4/29/2009

Analyze 4/30/2009 4/30/2009

Improve 5/29/2009 5/29/2009

Control 8/1//2009 8/1/2009

Prepared by: Paul Gormas Approved by: Dave Rettig

Deliverables:

On-Time Work Orders

On-Time Deliveries

Best Practice Procedures

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Project Name: Work Order Development

Problem Statement:

The cycle time from quote to work order delivery is exceeding the 2 day standard for 25% of work orders causing inefficiencies in manufacturing and late deliveries

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Goal Statement:

Eliminate all late work orders. Set milestones for improvement at reduction to 10% in one month and 2% or less in three months

Deliverables:

On-time Work Orders, On-Time deliveries, Best practice procedures

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Initial Cost of Poor Quality Estimate:

The COPQ (Cost of Poor Quality) is approximately 2% of margin or $100,000 of net profit annually.

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Process Start : Quote

Process Stop: Hand-Off of Work Order to Plant

In bounds: Sales, Quoting, Design, Customer Service

Out of bounds: Manufacturing, Shipping

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Project Schedule: ◦ Define Phase Complete by 4/27/2009

◦ Measure Phase Complete by 4/30/2009

◦ Analyze Phase Complete by 4/31/2009

◦ Improve Phase

Pilot Implementation Complete by 5/29/2009

◦ Control Phase Complete by 8/1/2009

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Dave (VP) Champion

Denise (Customer Service) Process Owner

Pat (Production Manager) Team Member

Cindy (Accounting) Team Member

Jim (Quoting) Team Member

Richard (Design) Team Member

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High Level Process Map

Purchase Order

Prepare Work Order

Quote

Hand-Off To

Plant

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S I P O C

Suppliers Inputs Process Outputs Customers

Provider

Input requirements and

measures Start:

Output requirements

and measures Receiver

Sales contacts with customers

High-Level Process Description:

Quoting Department

Estimating Quotes Acknowledgement with

Order Entry Projected Delivery Date External Customer

External Customer Purchase Order

Engineering Designs/Drawings Convert Order to Work Order Router Customer Service

Print Pick List and Traveler Bill of Material

Check Material Status and Order Materials Drawings

Prepare Documentation

Generate Order Tags and Drawings Work Order Plant

Hand Off to Plant Date Received by Plant

End:

Plant Receives Complete and Correct Work

Order

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Customers ◦ External Customers

◦ Customer Service

◦ Plant

Sampling Method ◦ Data Collection Sheet, all work orders YTD Jan. 1 –

April 30, 2009

VOC – Customer interviews and complaints

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SWOT ANALYSIS - Work Order Development STRENGTHS WEAKNESSES

Can do capability Dots not connected

Good knowledge Lack of ability to pull together

All the tools Time schedules tight

Good accuracy Experience

No consistent numbering system or central

database of information

OPPORTUNITIES THREATS

Creating a system that allows for retrieving info Losing customers

Streamline order entry process Losing employees

People are suggesting potential solutions Internal customers dissatisfied

Improved plant efficiency Image in Industry

Lack of disciplines and follow through

Inefficiency in plant

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Accuracy of Work Orders

Timeliness of Work Orders

On Time Deliveries

Excellent Response on Customer Service Issues

Retention of Experienced Employees

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Quotes per Day 17

Converted to Work Orders 10% 1.7

Work Orders per Year (260) Days 442

Work Orders Late 25% 111

AVG Cost per Late Work Order

Overtime $300.00

Lost Revenues (Customer

Dissatisfaction) $500.00

Turnover (Employee Dissatisfaction) $200.00

Total Average Cost $1,000.00

Total Cost $111,000.00

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Deliverables

• Current State Process Map

• Baseline Process Performance

• MSA

• Data Collection Plan

• Data Collection

• Cost of Poor Quality

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Current State Process Map

Purchase

Order

Find

Correct

Data

Delays

From

Interruptions

&

Bottlenecks

Prepare

Work

Order Quote

Hand-Off

To

Plant

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Key Process Output Variable:

Y1: Number of Late Work Orders

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Total and Late Work Orders Comparison YTD 2009

0

5

10

15

20

25

30

35

40

Jan Feb March April

# o

f W

ork

Ord

ers

Total Work Orders

Late Work Orders

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Key Process Output Variable Performance

◦ Y DPMO = 256,000

◦ Y Sigma Level = 2.1

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Key Process Input Variables Identified as contributing to the undesirable Key Process Output Variable (Y): ◦ X1: Interruptions ◦ X2: Heavy Work Load ◦ X3: Quote Not Complete ◦ X4: Can’t Read Purchase Order ◦ X5: Can’t Find Quote ◦ X6: Part Being Revised ◦ X7: Create New Part ◦ X8: New Customer Information

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Measurement System is a Data Collection Sheet

Sampling is evaluation of 100% of Work Orders generated YTD 1/1 to 4/30, 2009 for baseline data and100% of Work Orders generated in future for pilot and control going forward

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Late Work Orders - Data Collection Sheet Paul Gormas

Reason Work Orders Late - Mark with X

Late Quote Inter- Heavy Quote Can't Can't Part Create New

WO # Acceptance ruptions Work Not Read Find Being New Cust

Date Load Complete PO Quote Revised Part Info

33358 1/2/2009 x

33362 1/6/2009 x

33367 1/9/2009 x

33370 1/12/2009 x

33375 1/15/2009 x

33378 1/16/2009 x

33383 1/19/2009 x

33386 1/23/2009 x

33391 1/27/2009 x

33394 1/29/2009 x

33399 2/2/2009 x

33402 2/4/2009 x

33407 2/10/2009 x

33409 2/11/2009 x

33414 2/16/2009 x

33417 2/19/2009 x

33422 2/25/2009 x

33425 2/27/2009 x

33430 3/2/2009 x

33433 3/5/2009 x

33438 3/10/2009 x

33441 3/13/2009 x

33446 3/16/2009 x

33449 3/18/2009 x

33454 3/24/2009 x

33457 3/27/2009 x

33462 3/30/2009 x

33465 4/3/2009 x

33470 4/6/2009 x

33473 4/7/2009 x

33478 4/9/2009 x

33481 4/13/2009 x

33486 4/15/2009 x

33489 4/20/2009 x

33494 4/22/2009 x

33497 4/23/2009 x

33502 4/28/2009 x

Count 37 15 7 4 4 3 2 1 3

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COPQ and ROI - Work Order Development

Cost of Poor QualityQuotes per Day 17

Converted to Work Orders 10% 1.7

Work Orders per Year (260) Days 442

Work Orders Late 25% 111

AVG Cost per Late Work Order

Overtime $300.00

Lost Revenues (Customer Dissatisfaction) $500.00

Turnover (Employee Dissatisfaction) $200.00

Total Average Cost $1,000.00

Total Cost $111,000.00

Return on Investment and PaybackTarget Reduction 92% $102,120

Prevention Costs $10,000

ROI $10:$1

Payback Period (days) 36

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Deliverables

• Root Cause Analysis – Fishbone Diagram

• Pareto Chart

• KPIV’s

• Cost of Poor Quality

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Late

Work

Orders

Manpower Machines

Materials Methods

Heavy Work Loads

Interruptions

Quote Not Complete

Can’t Read PO

Unbalanced Work Loads

Uneven Work Flow

Lack of Communication & Coordination

Bad Copy or Fax

Poor Handwriting

Root Cause Analysis – Cause & Effect

People Continually Asking for Info & Data

Data Not Provided to Plant or Office

Constant Phone Calls

Data Doesn’t Make Sense

Data Missing

Data Incorrect

Looking Up Invoices & Tracking #’s

No Master Database

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15

7

4 43 3

21

38.5%

56.4%

66.7%

76.9%

84.6%

92.3%

97.4%

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

70.0%

80.0%

90.0%

100.0%

0

5

10

15

20

25

30

35

Interruptions Heavy Work Load

Quote Not Complete

Can't Read PO Can't Find Quote New Customer Info

Part Being Revised

Create New Part

De

fect

sPareto Chart

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X1: Interruptions

X2: Heavy Work Load

X3: Quote Not Complete

X4: Can’t Read Purchase Order

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COPQ and ROI - Work Order Development

Cost of Poor QualityQuotes per Day 17

Converted to Work Orders 10% 1.7

Work Orders per Year (260) Days 442

Work Orders Late 25% 111

AVG Cost per Late Work Order

Overtime $300.00

Lost Revenues (Customer Dissatisfaction) $500.00

Turnover (Employee Dissatisfaction) $200.00

Total Average Cost $1,000.00

Total Cost $111,000.00

Return on Investment and PaybackTarget Reduction 92% $102,120

Prevention Costs $10,000

ROI $10:$1

Payback Period (days) 36

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Deliverables

• Improve Solutions Recommendations

• Affinity Map

• Future State Process Map

• Pilot Project Implementation Plan

• Post Implementation Results Validation & Capability

• Cost of Poor Quality

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Team brainstormed ideas to address priority issues and root causes identified by pareto and cause & effect analysis

Interruptions

Develop Master Database

Give Data Access to Co.

Develop Cust. Contact Proc.

Enter needed data in DB

Force calls to go direct

Better up front communication

Identify critical priorities

Heavy Work Load

Balance work load

Rewrite job descriptions

Rebalance work force

Create a consistent work flow

Improve teamwork in office

Reduce interruptions

Better automation of process

Process Issues

System require & edit data

Set Std. for PO’s

Develop data conventions

Upgrade fax machine

Exception reporting

Issue tracking

Feedback to inputs

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Applied impact vs. cost analysis to select final improvement solutions

Initial solutions were selected and consolidated as follows: ◦ Develop consistent data standards and conventions ◦ Establish and enforce time, completeness and

accuracy standards for quotes and PO’s ◦ Create online database and make accessible to all

employees

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Future State Process Map

Purchase

Order Access

Database

Prepare

Work

Order Quote

Hand-Off

To

Plant

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Pilot Start Date: 5/4/2009

Pilot End Date: 5/29/2009

Feedback Method to Improvement Users: ◦ Report on Late Work Orders

◦ Database use and interruptions

Feedback Method to Team: ◦ Report on Late Work Orders

◦ Database use and interruptions

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Develop new data standards

Develop trail database on Access – IT

Train all users

Start up trial on 5/4

Track new processes and late WO’s for 4 days on first phase

Make adjustments and continue pilot

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Database Uses

Interruptions each Day

Work Orders Processed

Work Orders Late

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KPOV – Late Work Orders

Measurement - % of Work Orders Late ◦ Baseline 25%

◦ Improvement goal metric 2%

◦ Actual Pilot metric 15%

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Database Uses ◦ Baseline Metric 0

◦ Improvement Goal Metric 50/day

◦ Actual Pilot Metric 25/day

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Database Uses

0

10

20

30

40

50

60

Baseline 4-May 5-May 6-May 7-May Pilot AVG IMP Goal

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Interruptions Per Day ◦ Baseline Metric 20

◦ Improvement Goal Metric 4/day

◦ Actual Pilot Metric 11/day

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Interruptions

0

5

10

15

20

25

Baseline 4-May 5-May 6-May 7-May Average IMP Goal

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Lessons Learned ◦ Initial Communication and Training are key to

success

◦ Involvement of a broader team in solution development stage will help with buy-in

◦ Access Program will be OK as a pilot process, but IT should evaluate database software more specifically suited for work order development applications

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After phase 1 of the pilot, the initial cost of poor quality and ROI projections are the same as initially projected

COPQ and ROI - Work Order Development

Cost of Poor QualityQuotes per Day 17

Converted to Work Orders 10% 1.7

Work Orders per Year (260) Days 442

Work Orders Late 25% 111

AVG Cost per Late Work Order

Overtime $300.00

Lost Revenues (Customer Dissatisfaction) $500.00

Turnover (Employee Dissatisfaction) $200.00

Total Average Cost $1,000.00

Total Cost $111,000.00

Return on Investment and PaybackTarget Reduction 92% $102,120

Prevention Costs $10,000

ROI $10:$1

Payback Period (days) 36

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Deliverables

• Full Scale Implementation Plan

• Detailed Control Plan

• Cost of Poor Quality

• Lessons Learned

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Continue Pilot Program Phases

◦ Phase 1 Week 1 4-May to 7-May

◦ Phases 2-4 each week through end of May

Track database use, interruptions and correlation to late work orders with weekly reviews

Utilize feedback to make adjustments

IT evaluate database software with recommendation due on June 1

Approve and install new software by July 1

Achieve full implementation and final goal by Aug 1

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Training and Communication will be accomplished by project Champion, Process Owner and IT during phase 1 pilot

Full capability will be accomplished during pilot phases 2-4

CONTROL PLAN

Project Title: Work Order Development

Process Owner: Denise Roberts

Metric Target Collected Sample Size Collection Review

Value By Frequency Method Frequency

Interruptions 4/Day DR All Check Sheet Weekly

Database Use 50 Uses/Day IT All System Rpt Weekly

Late Work Orders 2% DR All Check Sheet Weekly

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Interruptions

Database Usage

Total Work Orders Processed

Late Work Orders # and as # of Total Work Orders Processed

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Same as previously projected

COPQ and ROI - Work Order Development

Cost of Poor QualityQuotes per Day 17

Converted to Work Orders 10% 1.7

Work Orders per Year (260) Days 442

Work Orders Late 25% 111

AVG Cost per Late Work Order

Overtime $300.00

Lost Revenues (Customer Dissatisfaction) $500.00

Turnover (Employee Dissatisfaction) $200.00

Total Average Cost $1,000.00

Total Cost $111,000.00

Return on Investment and PaybackTarget Reduction 92% $102,120

Prevention Costs $10,000

ROI $10:$1

Payback Period (days) 36

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Project Closeout: ◦ Final paperwork completed

◦ Handoff to Process Owner 5/4

◦ Business Case same as previously stated Eliminating late Work Orders will improve on time deliveries to

customers; improve production scheduling and plant capacity, reduce errors, rework and OT, and improve customer satisfaction which will increase margins by 2% or approximately $100,000 per year.

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Involve the process owner in the development of the data collection check sheet earlier in the process

Conduct more training overview of the Six Sigma project process with the whole team up front

Drill down deeper on the facts surrounding the issue in the define step