qualitative process analysis
TRANSCRIPT
Session 10 - Process Analysis (Process Maps, Cause-Effect, P-Diagram)
University of Michigan: Six Sigma Black Belt, P Hammett 1
Qualitative Process Analysis
Process Maps/Value Stream Map,
Cause-Effect Diagram and P-Diagram
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Case Study – Topic Motivation
Background: Sales Order Fulfillment Process (in-stock orders) Receive orders from mail, internet, phone, or fax
Reconcile orders (including credit check for new customers)
Assign orders to distribution center where they are picked, packed, and shipped
Goal is to fill orders in 3-5 business days
Current State: Takes 7-14 days (1st Pass Yield on Correct Order Shipment is ~92%)
Why does it take so long? What are sources of waste, improvement opportunities?
To address the problem, we need to Map the Process (understand the ‘as-is’ process with details about various process steps)
Session 10 - Process Analysis (Process Maps, Cause-Effect, P-Diagram)
University of Michigan: Six Sigma Black Belt, P Hammett 2
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Topics
I. Qualitative Process Analysis
II. Process Maps (Define/Measure)
A. SIPOC Diagram
B. Swim lane Process Map
C. Value Stream Map
D. Flow Chart/Process Mapping Diagram
Note: Above maps should be updated over a project
III.Brainstorming Variation Causes (Measure/Analyze)
E. Cause-and-Effect (Fishbone) Diagram
F. P-Diagram
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I. Qualitative Process Analysis
In Six Sigma DMAIC Projects, we use qualitative process analysis tools to:
Characterize process flow using a Process Map
E.g., Swim Lane, Value Stream Map, Process Map
These are typically done in Define or Measure Phase (and updated in the Improve/Control Phase)
Identify/brainstorm possible defect causes using:
Affinity Diagram
Cause-and-Effect Diagram
P-Diagram
These are typically done in Measure or Analyze Phase
Session 10 - Process Analysis (Process Maps, Cause-Effect, P-Diagram)
University of Michigan: Six Sigma Black Belt, P Hammett 3
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Qualitative Vs. Quantitative Process Analysis
Qualitative Process Analysis Good place to start/fast/low resource investment
Helps characterize the process to be improved
Provides list of potential variation causes by a knowledgeable TEAM
Quantitative Process Analysis Objective data-driven assessment of input-output relationships
Effective at separating vital few causes of variation (Key Inputs) versus trivial many – Prioritization
Effective qualitative analysis often reduces the amount of quantitative process analysis needed for improvement In Six Sigma projects, we want to combine past
experiences with objective data analysis!!
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II. Process Maps
Process maps– provide a visual representation of the flow High level system flow, or Detailed work flow within a system
Some Common Formats Used in Lean-Six Sigma: SIPOC Diagram Swim lane Process Flow Value Stream Map Process Mapping Diagram/Flow Chart
“You cannot improve a process until everyone agrees what the process is”
Session 10 - Process Analysis (Process Maps, Cause-Effect, P-Diagram)
University of Michigan: Six Sigma Black Belt, P Hammett 4
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Versions of a Process
At least Three Versions
Perceived State (e.g., in manuals)
Current Process (actual conditions)
Future State
(Post Improvement)
Note: The ideal process may be even simpler
Need to first determine the ‘AS-IS’ to Start Process Improvement
Common Process Map Formats
Swim Lane Diagram
Document overall process steps
Illustrates wastes of hand-offs
Detail Process Map
Illustrates key inputs needed
for detailed problem-solving
Value Stream Map
Product, Process, and
Information Flows with
% Value-add Time
SIPOC
Provides high level scoping of process
Process Flow
Department A
Department B
Department C
Step 1
Customer Start End
XX days XX days XX days
Step 2
Step 3
Step 4
Step 5Decision
Step 6A
Step 6B
Step 7
XX daysXX XX
Process Flow
Department A
Department B
Department C
Step 1
Customer Start End
XX days XX days XX days
Step 2
Step 3
Step 4
Step 5Decision
Step 6A
Step 6B
Step 7
XX daysXX XX
Step 1 Step 3DecisionStep 2
Step 4
FinalStep
Y11 Y12
Y31
Y41
KPOV-1KPOV-2
C1S1N1
S4N4
C51C52S5N51N52
Y – OutputC – Control FactorS – Standard ProcedureN – Noise Factor
Step 1 Step 3DecisionStep 2
Step 4
FinalStep
Y11 Y12
Y31
Y41
KPOV-1KPOV-2
C1S1N1
S4N4
C51C52S5N51N52
Y – OutputC – Control FactorS – Standard ProcedureN – Noise Factor
OUTPUTS
ProcessSteps
CUSTOMERS
SUPPLIERS
INPUTS
Boundary(Start of Process)
Boundary(Completion of Process)
OUTPUTS
ProcessSteps
CUSTOMERS
SUPPLIERS
INPUTS
Boundary(Start of Process)
Boundary(Completion of Process)
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8 hrs 32 hrs
40 120Tot = 444
VA = 14040 hrs
120
60 hrs
24
8 hrs 32 hrs
40 120Tot = 444
VA = 14040 hrs
120
60 hrs
24
8 hrs 32 hrs
40 120Tot = 444
VA = 14040 hrs
120
60 hrs
24
8 hrs 32 hrs
40 120Tot = 444
VA = 14040 hrs
120
60 hrs
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Session 10 - Process Analysis (Process Maps, Cause-Effect, P-Diagram)
University of Michigan: Six Sigma Black Belt, P Hammett 5
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A. SIPOC Diagram Example – Loan Application Approval Process
Suppliers Inputs Process Outputs Customers
Appraisers Insurance
Companies Title
Companies
Type of Loan Interest Rates # Processors Loan Officer
Experience Lender
Guidelines
Complete and Accurate
Process Time < 30 days
Loan Fees
Mortgage
Customers
External
Under-
writers
Lending
Institutions
Regulatory
Agencies
Prepare
(Setup)
Loan
Process
Loan Underwrite
Loan
Close
Loan
Clear
Conditions
Note: Inputs/Outputs may be physical things/document or measurable requirements/criteria
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B. Swim Lane Diagram
Swim Lane Diagrams pictorially show key process steps, including
hand-offs and dependencies between functions (departments). First, Draw functional (departmental) “swim lanes” involved Map the process steps across the “swim lanes” (include start-end points)
Note: some steps may be done in series or parallel (occur simultaneously) Identify decision points/return steps to a prior function/department Finally, group steps by phases (e.g., between departmental handoffs). Show time in
each group/phase using timeline at the bottom (use average or time ranges)
Process Flow
Department A
Department B
Department C
Step 1
Customer Start End
XX days XX days XX days
Step 2
Step 3
Step 4
Step 5 Decision
Step 6A
Step 6B
Step 7
XX days XX XX
Functions/ Department
Timeline Phase 1 | #2 | #3 | #4 | #5 | #6
Session 10 - Process Analysis (Process Maps, Cause-Effect, P-Diagram)
University of Michigan: Six Sigma Black Belt, P Hammett 6
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Using Swim Lane Diagrams
Effective for large, complex processes where:
It may be difficult to get started using a detail map first
Multiple hand-offs exist between departments/functions
Sequence and time for process phases (group of steps) is important for downstream functions to meet their requirements
Common improvement include: Re-balancing/combining tasks to minimize unnecessary back-
and-forth handoffs between departments
Running non-dependent steps in parallel to reduce overall processing time (i.e., to eliminate wait time)
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Swim lane Diagram (Sales Order Fulfillment Example)
Any potential unnecessary handoffs?
Receive Order
Session 10 - Process Analysis (Process Maps, Cause-Effect, P-Diagram)
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C. Value Stream Map (VSM)
Value stream – all of the actions (value and non-value added) required to get a product to the customer or complete a service Service flow ~ from order to delivery.
Design flow ~ from concept to launch.
Production flow ~ from raw material to finished goods.
Typically create VSM within a single facility and for common product families (i.e., with similar operations)
VSM are distinguished by their standard symbols used to show BOTH product (material) and information flows
VSM typically focus on an entire system flow (with both Material and Information Flow) – not just individual process Emphasis on flow leads to focus on the areas between processes
Flow improvements lead to streamlining or consolidation of processes, reduction in inventory, simpler flow paths and improved value add
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Value Stream Map Example – RFQ to Customer Review
RFQ – Request for Quote Process (Material and Information Flow)
Note: Case Study Simplified for Teaching Purposes
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8 hrs 32 hrs
40 120 Total = 444
VA = 140 40 hrs
120
60
(information flow)
(product flow)
P/T – Process Time VA – Value Add
Session 10 - Process Analysis (Process Maps, Cause-Effect, P-Diagram)
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Value Stream Map Symbols (Source: “Learning to See”, M. Rother and J. Shook, The Lean Enterprise Institute, 1999.)
Process
Process - Activity Data Box Inventory
Operator Manual
Information Flow
Electronic Information
Flow
Finish Service To Customer
External Source
Supermarket (store inputs)
Push units to Next operation
External Ship Work Cell
http://www.strategosinc.com/value-stream-mapping-3.htm
MRP System Go See
- Examples of standard VSM symbols/terms
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VSM Wall Charts
While computer generated drawings using VSM symbols look nice, VSM’s usually are developed using pencil, paper, post-it notes!
Session 10 - Process Analysis (Process Maps, Cause-Effect, P-Diagram)
University of Michigan: Six Sigma Black Belt, P Hammett 9
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D. Detailed Process Mapping Diagram
More comprehensive version of a Conventional Flow Chart Show basic process flow (Flow Chart) including decisions (diamonds)
Add key process inputs (X’s) and outputs (Y’s) for various steps Inputs: Classify by controllable (C), standard procedure (S), noise (N) Note: Prior process outputs naturally become ‘inputs’ to next process
Most effective if show how the process actually works (“as-is”) versus “company manual” (include inspection, rework loops) Alternative Format: Vertical Process Map (see appendix)
Step 1 Step 3 Decision Step 2
Step 4
Final Step
Y11 Y12
Y31
Y41
KPOV-1 KPOV-2
C1 S1 N1
S4 N4
C51 C52 S5 N51 N52
C – Control Factor S – Standard Procedure N – Noise Factor
Use Standard ANSI/ISO Flow Chart Symbols
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Detail Process Map: Distribution Center
Swim lane Diagram
NVA – non value add
From the swim lane diagram, suppose we wish to examine the flow of orders through the distribution center
Session 10 - Process Analysis (Process Maps, Cause-Effect, P-Diagram)
University of Michigan: Six Sigma Black Belt, P Hammett 10
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Which Format is Best?
The main objective here is to describe the ‘as-is’ process to effectively communicate the current state and identify improvement opportunities
Making maps unnecessarily complicated or creating several maps that don’t add new useful information is waste!
So, use a mapping technique format which is: “As detailed as necessary for people to understand the
process and support continuous improvement”
Finally, regardless of format used, one needs to WALK the Process to ensure you capture the As-Is Process
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Current State Process Improvements - “Kaizen Bursts” on Process Maps
May use Kaizen Burst Symbol to highlight specific improvements needs Draw dashed boxes (‘loops’) around a group of steps that may be
rearranged/combined to improve efficiency)
Paperwork Redesign
Change Authority Levels
System Uptime
New Technology
Rearrange Flow
Combine Tasks
Add Pull Signal
Organize Workplace
Or, use ‘Post-it’ Notes on Wall Charts
Session 10 - Process Analysis (Process Maps, Cause-Effect, P-Diagram)
University of Michigan: Six Sigma Black Belt, P Hammett 11
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Swim lane - Sales Order Fulfillment - ‘Kaizen Bursts’ Improvements
Move Fax
Improve First Pass
Yield
Improve Sort
Track from Order Received
(Robust Direct Mail)
Rearrange Verify Step
Reassign Credit Check
to Sales Check/ Reconciliation
Eliminate Handoff
Receive Order
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Future State Map (Process Time ~ Reduced 3-4 Days)
Receive Order
Session 10 - Process Analysis (Process Maps, Cause-Effect, P-Diagram)
University of Michigan: Six Sigma Black Belt, P Hammett 12
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Making Improvements
Implement ‘quick wins’ first – now!
Order Fulfillment – MOVE Fax Machine to where it is primarily used
More significant changes may need to be tracked as projects
Order Fulfillment – Reassign Credit Check to Sales Department (requires training)
Lean-Six Sigma projects work well for improvement opportunities with unknown root causes and solutions (areas where a team does not completely agree on what to change)
Order Fulfillment – eliminate root causes of shipping errors
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III. Brainstorming Variation Causes
Following tools are used to perform structured brainstorming to identify potential root causes
E. Cause-and-Effect Diagram
F. P-Diagram
Other Structured Brainstorming Tools include:
Affinity Diagram
Cause-and-Effect Matrix
Session 10 - Process Analysis (Process Maps, Cause-Effect, P-Diagram)
University of Michigan: Six Sigma Black Belt, P Hammett 13
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Lean-Six Sigma Case Study
Project – Minor Construction Subcontractor Award
Problem: Current subcontractor review and award process was taking too long and did not efficiently use existing resources (lots of waste)
Formed an improvement team to identify causes/issues for time delays
Team reflected on personal experiences and conducted interviews of other users for input
Summarized their findings in a cause-effect diagram
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E. Cause & Effect Diagram (Ishikawa or Fishbone Diagram)
Given a Problem or ‘Effect’ (e.g., Late Contract Award Notices) use a Cause-Effect Diagram to visually show all possible causes/issues
One approach to help structure brainstorming around common categories is to start with the 4M’s (or 6M’s)
causes effect
Cause Branch
twig
twiglet
Effect
Effect – failure or problem
Cause Branch – Main Categories
(Example: 4M’s - man, method,
machine, material)
Twig – 1st Level Causes
Twiglets – 2nd Level Causes
Session 10 - Process Analysis (Process Maps, Cause-Effect, P-Diagram)
University of Michigan: Six Sigma Black Belt, P Hammett 14
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Cause-and-Effect Diagrams -- Main Causal Categories: 4 M’s
Most delay/defect causes fall into common categories: Man (personnel or people related issues)
Method (process related issues)
Machine (place or facility, equipment, IT system issues)
Material (product issues or inputs)
Other M’s Measurement system (or, include with machine)
Uncontrollable Environmental Issues (Mother nature)
Rather than these, may use the ‘grouping categories’ identified in Affinity Diagram Note: More common with non-manufacturing projects
(or 4 P’s)
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Man (Personnel)/Method
Man (Personnel)
Any potential cause related to people issues including differences in the way people perform tasks
Examples:
Lack of discipline (Staff not following standard procedure)
Lack of training
Lack of employee experience
High turnover
High tardiness
High absenteeism
Method (Process)
Any potential cause related to an ineffective process, procedure, policy, or their implementation
Examples:
Lack of standardized work
Lack of preventative maintenance
Lack of empowerment
Ineffective standard practice/procedure/policy
Poor scheduling process
Unclear instructions/procedures
Extra process steps (waste)
Over-processing
Non-value added tasks
Session 10 - Process Analysis (Process Maps, Cause-Effect, P-Diagram)
University of Michigan: Six Sigma Black Belt, P Hammett 15
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Machine and Material
Machines (Equipment) (Place) Any potential cause related to the
physical equipment, machines, or conditions at a workplace
Examples: Lack of Capacity
Lack of Equipment Capability
Lack of Equipment Availability
Poor office layout
Material (Inputs/Prior Process)
Any potential cause related to variation in process inputs (e.g., Raw Materials, Customers/Users)
Examples: Prior process outputs are incorrect
(e.g., out of specification) Late deliveries from suppliers Different Order Types Different Customer Characteristics
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Additional M’s: Measurement System and Mother Nature
Measurement System Any potential cause related to
differences in how data are collected or measured
Examples: Process/equipment used to measure
performance is: Not accurate Not repeatable/reproducible Does not mitigate data entry errors
Note: Sometimes one does not have an effective system to effectively judge if meeting requirements or not
E.g., trying to measure appearance
Mother Nature (External Environment) Any potential cause related to
an uncontrollable external or environmental condition
Examples: Catastrophe
Severe Weather
Major change in market condition
Change in a Government Regulation or Policy
Since we cannot eliminate these, what should we do?
Session 10 - Process Analysis (Process Maps, Cause-Effect, P-Diagram)
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Issues with Brainstorming ‘Causes’
How many causes should one try to identify?
What should one do if a team cannot decide which ‘cause’ category an issue belongs (e.g., people vs. process issue)?
What should one do if a team identifies mostly ‘causes’ outside their span of influence?
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Cause-and-Effect (C&E) Diagram
Case Study: Minor Construction Project Award Contracts
EFFECT: Delays in awarding contracts
Next, team identified the following potential causes via brainstorming
TIP: For non-manufacturing projects, may prefer to use affinity diagram groupings for high level branch labels
Session 10 - Process Analysis (Process Maps, Cause-Effect, P-Diagram)
University of Michigan: Six Sigma Black Belt, P Hammett 17
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C&E Diagram Example (Minitab or other drawing software)
CAUSES Effect
Delays in
Awarding
Contracts
Environment Methods
Management
Equipment
Personnel
Unprofessional conduct
Too manysuppliers/customers
Play Favorities
Inflexible
Lack of manpower
Lack of IT Support
Paper Intensive
Too many decisions
Micro Mgmt
Award Decision
Award Recommend
KO Approval
Playing Email Tag
Playing Phone Tag
Lack of Tech EvalCriteria
No schedule
Lack of Adequate QCResources
Lack of BusinessProcess
Foreign Environment
US Standards
Cause and Effect Diagram
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The 5 Why’s
C&E Diagrams brainstorming may only identify broad causes (symptoms)
To find the root cause, we often need to keep asking ‘why’ to get from
Symptoms Root Cause To get to root causes, we often must:
Go to the Scene (workplace) Determine the facts Ask why, why, why, …
Then, put in a countermeasure to prevent re-occurrence
Apply the
5 Why’s*
Note: There is nothing sacred about the number “5” the objective is to keep asking Why until a root cause or actionable item is identified (may require more or less than “5”)
Session 10 - Process Analysis (Process Maps, Cause-Effect, P-Diagram)
University of Michigan: Six Sigma Black Belt, P Hammett 18
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Delays in
Awarding
Contracts
Environment Methods
Management
Equipment
Personnel
Unprofessional conduct
Too manysuppliers/customers
Play Favorities
Inflexible
Lack of manpower
Lack of IT Support
Paper Intensive
Too many decisions
Micro Mgmt
Award Decision
Award Recommend
KO Approval
Playing Email Tag
Playing Phone Tag
Lack of Tech EvalCriteria
No schedule
Lack of Adequate QCResources
Lack of BusinessProcess
Foreign Environment
US Standards
Cause and Effect Diagram
Cause-and-Effect Drill Down
Keep asking WHY?
Management
Award Decision Delays
Certain Managers take too long
No Consistent Review Criteria/
for Review
Lots of Information/
Criteria to Consider
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F. P-Diagram
The Parameter Diagram, or P-Diagram, is another tool for listing causes and documenting key input and output variables (X’s and Y’s) Key Output variables (Y’s) Input variables (materials, prior process outputs) (Advanced: Signal Factor) Control Factors (process settings) Uncontrollable Noise Factors
P-Diagrams help identify which ‘X variables’ to study
Control Factors
Uncontrollable (Noise) Factors
Input Variables
Output Variables
Y 1
Y m ...
PROCESS
Session 10 - Process Analysis (Process Maps, Cause-Effect, P-Diagram)
University of Michigan: Six Sigma Black Belt, P Hammett 19
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P-Diagram: Audit Process
Current State: ~ 30% complete and accurate, ~ 70% On-Time
Given the diagram below, identify potential analyses to study?
Audit Process
Control Factors Experience/Training of Staff System Guidelines IT System Software (information availability)
Inputs Client Information Domestic/Int’l location
Uncontrollable Noise Factors Change in government policy Different auditors
Outputs (Y’s) Complete and Accurate Reconcile Time, days
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Categorizing Noise Factors
Noise factors may be further classified into: External/Usage: factors related to small differences in
operator usage or external environment conditions. Examples: Usage: slight changes in customer requirements/expectations,
changes in how different customers use a product/service Environmental (Ambient Temperature, humidity, etc.)
Unit-to-unit: factors related to small differences in material properties or processing conditions from unit-unit. Examples: Material: variation in raw material properties (e.g., hardness) Mfg Processing Conditions (e.g., forming pressure, part
locating)
Deterioration and Wear: factors related to deterioration or wear over time. Examples: Amount of use (e.g., miles driven, # copies made) Loads (e.g., amount of weight a product is subjected)
Y LSL
6*sY-inherent
Noise sY-inherent (Common Cause )
Session 10 - Process Analysis (Process Maps, Cause-Effect, P-Diagram)
University of Michigan: Six Sigma Black Belt, P Hammett 20
39
Control vs. Noise Factor
Classification of factors is situational (control vs. noise)
Consider environmental condition: Temperature
Here, we have different options:
Maintain as Noise Factor
Convert to Control factor (control the environment)
Decision to convert a ‘noise factor’ into a ‘control factor’ is often an economical one
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Summary
For DMAIC projects, start with Qualitative Process Analysis to force agreement on the ‘as-is’ process and help drive efficient data collection and analysis After identifying potential causes, may use Quantitative Analysis to
assess/confirm the contributions of various X variables on key outputs
Process Mapping Tools (High Level Detail Steps)
SIPOC, Swim Lane, VSM, Process Mapping Diagram/Flow Chart
To more effectively identify possible causes, we often use a structured framework 4 M’s (6 M’s) Cause-and-Effect Diagram
P-Diagram
(see Appendix for additional examples)
Session 10 - Process Analysis (Process Maps, Cause-Effect, P-Diagram)
University of Michigan: Six Sigma Black Belt, P Hammett 21
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Appendix 1:
Vertical Map
An alternative to a flow chart with decision loops is a ‘Vertical Process Map’
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Appendix 2: VSM - Manufacturing (Incoming Material to Ship per Master Schedule)
Product 1
Product 2
C/T 65 S..
Uptime 89%
C/O 30 M.
FTT 92%
C/T 120 S.
Uptime 84%
C/O 3.54 H.
(budget 2.5 H)
FTT 95%
CT 45 S..
Uptime 92%
C/O 20 M.
FTT 89%
C/T 60 S
Uptime 98%
C/O 30 M.
FTT 95%
1 Day
60 sec.
3 Day 5 Day
120 sec.
5 Day
65/45 sec.
14 Day
245 sec.
Next Customer Supplier.
Process B
I
I
I I
I
I
_5_/wk
Process A
Final Process
Process C
Material
Planning
6 week
Daily
6 week
Weekly
Weekly
Weekly
Weekly/Daily
Incoming Matl – Ship ~14 days
~Value-add time ~245 seconds
Session 10 - Process Analysis (Process Maps, Cause-Effect, P-Diagram)
University of Michigan: Six Sigma Black Belt, P Hammett 22
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Appendix 3: Injection Molding Process
Raw material inputs
pellets
Output: Part shape and % shrinkage
Process: use an injection molding machine to convert pellets into a product using a mold
-- Mold Cavity - Actual Part Size
Pellets
X Variables cooling time melt temperature fill time filling pressure mold wall temperature
nozzle diameter
Part
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P-Diagram Example – Injection Molding Process
Injection Mold Process
Controllable Process Settings cooling time (sec) melt temperature ( oF) screw speed (rpm) fill time (sec) filling pressure (MPa) nozzle diameter (cm) mold wall temperature ( oF) Inputs
Pellet Material Properties
Mold Shape
Uncontrollable Noise Variables % regrind pellets vs. virgin raw matl (5%, 10%) inherent variation in pellet size (small - medium)
Outputs (Y’s) Part Shrinkage (%)