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The Power of Decoupling
Unlocking the Secret to Demand Driven
Material Requirements Planning (DDMRP)
The First Law of Supply Chain
• All benefits will be directly related to the speed of FLOW of materials and information.
Materials & Information
Information
"All Benefits" Encompass:
• Service is consistent and reliable when a system flows well.
• Revenue is maximised and protected.
• Inventories are minimised.
• Expenses ancillary and/or unnecessary are minimized.• Cash flow follows the rate of product flow to market demand.
Protect and Promote Flow = ROI Maximisation
3
The First Law of Supply Chain
• All benefits will be directly related to the speed of FLOW of materials and information.
5
Materials & Information
Information
Caveat:
Materials and Information must be RELEVANT!!!
Two Universal Points of Inventory
7
Too MuchToo Little
A B
0
Optimal RangeWarning Warning
Note: “Optimal” is from an on-hand perspective
The MRP “Bi-Modal” Distribution
8
Too MuchToo Little Optimal Range
# o
f p
art
s o
r S
KU
Warning Warning
0
The Effects of the Bi-Modal Distribution
Too MuchToo Little Optimal Range
# o
f p
art
s o
r S
KU
Warning Warning
Oscillation
0Three Simultaneous Effects:
1. Persistently High Inventories
2. Chronic and Frequent Shortages
3. High Expedite and Waste Related Expenses
“How can we have so much inventory and not be
able to ship orders?!”
“We paid for fast freight now we don’t need it?!”
The Bull-Whip Effect• Bull-Whip Effect: “An extreme change in the supply
position upstream in a supply chain generated by a small
change in demand downstream in the supply chain.
Inventory can quickly move from being backordered to
being excess.” (APICS Dictionary, 12th Edition)
OEMFoundry ComponentSub-
Assembler
Distortions to relevant information
Distortions to relevant materials
Establishing Decoupling Pointsdecoupling —Creating independence between supply and use of material. Commonly denotes providing inventory between operations so that fluctuations in the production rate of the supplying operation do not constrain production or use rates of the next operation. (APICS Dictionary, 12th Edition, page 34, Blackstone 2008)
decoupling points —The locations in the product structure or distribution network where inventory is placed to create independence between processes or entities. Selection of decoupling points is a strategic decision that determines customer lead times and inventory investment. (APICS Dictionary, 12th Edition, page 34, Blackstone 2008)
Customer Tolerance Time
Market Potential Lead Time
Demand Variability
Supply Variability
Inventory Leverage & Flexibility
Critical Operation Protection
The amount of time potential customers are willing to wait for the delivery of a
good or a service.
The lead time that will allow an increase of price or the capture of additional
business either through existing or new customer channels.
The potential for swings and spikes in demand that could overwhelm resources
(capacity, stock, cash, etc.).
The potential for and severity of disruptions in sources of supply and/or specific
suppliers. This can also be referred to as supply continuity variability.
The places in the integrated BOM structure (the Matrix BOM) or the distribution
network that leave a company with the most available options as well as the best
lead time compression to meet the business needs.
The minimisation of disruption passed to control points, pace-setters or drums.
The third edition of Orlicky’s Material Requirements Planning by Carol Ptak and Chad Smith, McGraw-Hill Professional, 2011, p. 392)
Decoupling Point Selection Factors
15
MRP = No Decoupling• Nervousness: “The characteristic in an MRP system when minor
changes in higher level (e.g. level 0 or 1) records or the master production schedule cause significant timing or quantity changes in lower level (e.g. 5 or 6) schedules or orders.” (APICS Dictionary 12th Edition, Blackstone, 86)
FPA
ICA SAA
SAB ICB
PPB PPC
PPA
SAG
PPEPPD
FPB
SAL
PPZPPA
SAA
ICBPPA
SAG
PPEPPD
◄ChangeICB
SAA
FPA
SAG
PPEPPD
SAA
FPB
Output Lead time
The Law of System Variability
Delays accumulate while gains do not = SUPPLY CONTINUITY VARIABILITY
• The more that variability is passed between discrete areas, steps, or
processes in a system, the less productive that system will be.
• The more areas, steps, or processes and connections in the system, the
more erosive the effect to system productivity will be.
The Bull-Whip Effect – An Explanation
OEMFoundry ComponentSub-
Assembler
NERVOUSNESS
SUPPLY CONTINUITY VARIABILITY
MRP (Everything Dependent) versus Strategically Decoupled
19
MRP Everything Dependent Strategically Decoupled
Buffer Profiles and Levels
Profile Attributes
• Part Type (made, bought, distributed)
• Lead Time Classification (short, medium, long, etc.)
• Variability (low, medium, high, etc.)
• Large Order Multiples (relative to usage rates)
Individual Part Traits
• Average Daily Usage (ADU)
• Lead Time
– ASR LT (make part)
– Purchasing LT (buy part)
– Transportation LT (distributed
part)
• Ordering Policy (min, max, multiple)
• Location (distributed parts)
21DDMRP Intro
Forecast, Historical Usage, Demand Sensing
Average Daily
Usage (ADU)
Buffer Levels at Chosen Decoupling Points
Buffer Profile
Assignment
Part/SKU Lead
Time
Part/SKU Order
Multiple
DDMRP and Part Master Data
Planned Adjustment
Factor
21
300
B11
17
None
Part: 403P
Lead Time: 21 days
Buffer Profile:
B11MOQ
Green Zone 300
Yellow Zone 357
Red Zone Base 179
Red Zone Safety 54 0 % 2 0 % 4 0 % 6 0 % 8 0 % 10 0 %
403P
▼
890▼
590▼
233
GYR
Buffer Zones Overview
The Buffer Zones – An Overview
Red Zone
Base
Red Zone
Safety
Yellow
Green
Determines supply order generation frequency and size• Minimum Order Quantity• Order Cycle• % of usage over lead time (Lead Time Factor)
The heart of the demand coverage in the bufferAlways sized as 100% ADU over lead time
The embedded safety in the buffer• Red Zone Base is established based on Lead Time Factor• Red Zone Safety is determined by Variability family• Total Red Zone = Base + Safety
1
2
3
Forec
ast
Plant
Planning
Suppliers
Logistics
To:
Sales
Order
Plant
Planning
Suppliers
Logistics
Using More Relevant Demand Information
Weekly Daily
Committing to the Wrong Demand Signal• Forecasts are often converted to Planned Orders
• Three Universal Truths about Forecasts
– They start out wrong
– The more remote in time they are the more wrong they are
– The more detailed we make them the more wrong the are
• When Planned Orders are wrong:
– We commit capacity, materials, space, time, etc. to the wrong thing
– Adjustments occur as the picture changes
– We often have to spend more to get the right thing within a short window of time or…we risk service
26
What Forces us Into Using Forecasting for Supply Order Generation?
• It could be argued that MRP is the perfect JIT System but that assumes one thing…
• That you have enough time!!
• Procurement Time plus Cumulative Manufacturing Time > Sales Order Visibility Horizon
27
Cumulative Manufacturing Time
Suppliers
Suppliers
Suppliers
Procurement Time
Sales Order Visibility
Horizon
What Forces us Into Using Forecasting for Supply Order Generation?
• To Compensate we must forecast out in time in order to attempt to have the
right things at the right time
• The farther out in time we project the less accurate the projection becomes
• The less accurate the projection becomes the more bimodal the distribution
tends to be
28
Planning Horizon
Suppliers
Suppliers
Suppliers
Sales Order Visibility
Horizon
Cumulative Manufacturing TimeProcurement Time
Weekly versus Daily
• Running MRP Daily is rare. Why?
• If Nervousness does not exist then daily planning can occur.
• Daily planning with sales orders means that we get RELEVANT and TIMELY demand information.
DDMRP Planning
• Supply Order Generation is created by the use of the “available stock equation”
• Unique to DDMRP – used to create supply order recommendations
• On-hand + On-order – Qualified Sales Order Demands = Available Stock
– On-Hand: Inventory physically in stock
– On-Order: The quantity of stock that has been ordered but not received
– Qualified Sales Order Demand: Sales Orders due today, in the past and
qualified future spikes.
On-HandOn-Order
Qualifying Spikes
Today 2 3 4 5 6 7 8 9
To
tal Q
ua
nti
ty O
rde
red
Order Spike Horizon = Length of time in the future in which spikes are considered
Order Spike Threshold = Quantity in daily buckets which would qualify for available stock equation inclusion
Generating Supply Order Recommendations
10,000
5,000
Part Open
Supply
On-hand Demand Available
Stock
Recommended
Supply Qty
Action
r457 5453 4012 1200 8265 0 No Action
f576 3358 4054 540 6872 3128 Place New Order
h654 530 3721 213 4038 2162 Place New Order
r672 2743 1732 623 3852 0 Expedite Open Supply
(Execution)
Supply generation is based on what zone the available stock equation places the part
Available stock = on-hand + on-order – QUALIFIED sales order demand (past due,
due today and qualified spikes)
Decoupled Explosion
MRP Explosion DDMRP Decoupled Explosion
• In DDMRP parent demand passes through non-buffered children just the same as with MRP
• That demand will stop at stocked points no matter what
The DDMRP Pyramid
FLOW
Sales Orders
Decoupling Points
Lead Time
Order Minimums
Lower Inventory
High Service
Fundamental Principal
Fundamental Planning
Changes
New Operational Equation
Elements and Emphasis
Bottom Line Benefits
Without Tradeoffs
DDMRP
Fewer Expedites
Buffer Status
ROCE▲
About Chad Smith
36
Chad Smith is the co-author of the third edition of Orlicky’s Material Requirements Planning 3/E (Ptak and Smith, McGraw-Hill, 2011) and the co-author of Demand Driven Performance – Using Smart Metrics (Smith and Smith, McGraw-Hill, 2013). He is a co-founder and Partner at the Demand Driven Institute, an organization dedicated to proliferating demand driven methods globally.
Chad serves as the Program Director of the International Supply Chain Education Alliance’s Certified Demand Driven Planner (CDDP) Program. Clients, past and present, include Unilever, LeTourneauTechnologies, Boeing, Intel, Erickson Air-Crane, Siemens, IBM, The Charles Machine Works (Ditch Witch) and Oregon Freeze Dry. Chad is also a certified expert in all disciplines of the Theory of Constraints studying directly under the tutelage of the late Dr. Eli Goldratt.
Chad makes his home in Wenatchee, WA with his wife Sarah and daughters Sophia and Lily.
Contact Chad at: [email protected]