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Supply Chain Physics decision space
1.
Supply Chain Physics
2 The Very Real Decision Space of Supply Chain Physics December 9, 2009 Mark Gavoor Direct: 630.242.0502 Toll Free: 866.865.2714 ext. 4 E-Mail: mgavoor@cadentresources.com ® Web-Site: www.demandcaster.com Copyright © 2009 Cadent Resources, Inc. All rights reserved. Not for distribution
2.
Welcome
Part I: The Concept of Supply Chain Physics Part II: December 9, 2009 The Very Real Decision Space of Supply Physics Part III: January 20, 2010 – 12 p.m. CST Strategies for Communication & Improvement Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
3.
Agenda
Re-Cap from Part 1 Four Examples Supply Chain Optimization Two Categories of Violations Conclusion Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
4.
Why Supply Chain
Physics? Supply Chain Physics is a concept Based on science, engineering, and business It is language and set of principles to foster Accountabilities across functions Improvement across the enterprise Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
5.
Information Flow
Forecasting Mfg Order Purchasing Places Planning Processing Order Order Taking Manufacturing & Fulfillment Inventory Warehouse Suppliers Allocation Trade Manufacturing Distribution Material/Product flow Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
6.
The Three Laws
of SC Physics 1. Law of Interdependency 2. Law of Constraints 3. Law of Information Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
7.
The Three Laws
of SC Physics 1. Law of Interdependency Inventory, Service, Quality, Costs are interdependent In business improvement, silo-ed functional improvement can only take you so far. All further improvements require cross-functional efforts. 2. Law of Constraints 3. Law of Information Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
8.
The Three Laws
of SC Physics 1. Law of Interdependency 2. Law of Constraints How much of any item can be produced in a finite amount of time? How far, fast, & in what quantities can goods be shipped from Point A to Point B? Yes … very related to the Theory of Constraints 3. Law of Information Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
9.
The Three Laws
of SC Physics 1. Law of Interdependency 2. Law of Constraints 3. Law of Information Information moves at the speed of light, er… the internet Independent of accuracy of the information Speed of information >> Lead times Speed of information >> Production rates Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
10.
Supply Chain Whack-a-Mole
• Quality • Cost • Service • Inventory Optimize all to a point Then trade-off optimization Need structural http://www.mmt-inst.com/End_of_management_whack_a_mole.html change to optimize all further Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
11.
Agenda
Re-Cap from Part 1 Four Examples Supply Chain Optimization Two Categories of Violations Conclusion Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
12.
Three Examples
Cadent Resources is a company dedicated to helping companies Reduce Inventory Improve Service Generate Cash So, let’s look at three Supply Chain Physics examples in terms of inventory Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
13.
Example I: Simple
Inventory Model – Single SKU Order Quantity Re-Order Point Safety Stock Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
14.
Simple Inventory Model
– Single SKU OQ Re-Order Point Safety Stock Due to Manufacturing and Transit time Variation… Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
15.
Simple Inventory Model
– Single SKU OQ Re-Order Point Safety Stock Due to Manufacturing LT and Transit time Variations… and Demand Volatility Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
16.
Simple Inventory Model
– Single SKU OQ Re-Order Point Supply Chain Safety LT & Variations Stock Demand Chain Variations Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
17.
Simple Inventory Model
– Single SKU We in the Supply Chain are responsible for these OQ parts? Re-Order Point Supply Chain Safety LT & Variations Stock Demand Chain Variations Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
18.
Simple Inventory Model
– Single SKU Is the Supply Chain responsible for this part? OQ Re-Order Point Supply Chain Safety LT & Variations Stock Demand Chain Variations Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
19.
Simple Inventory Model
– Single SKU You need to know this breakdown for your company We have seen LTs dominate making it 80-20 & Demand Volatility making it 20-80 OQ Re-Order Point Supply Chain Safety LT & Variations Stock Demand Chain Variations Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
20.
We can actually
assign an inventory objective to Sales? If we wanted to… Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
21.
Example II: E&O
Inventory E&O Excess & Obsolete Inventory Some call it SLOB Slow & Obsolete These inventories are the result of both Forecasting errors Historical violations of the Laws of Supply Chain Physics Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
22.
Example II: E&O
Inventory You are tasked with reducing the E&O which is 20% of all inventory. (We have seen it as high as 60%!!) Yet… You are not allowed to write any of it off And the goal is to sell it at full margin i.e. no fire sales This is a very real scenario Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
23.
Example II: E&O
Inventory No one can has ever been able to explain How this is tasked to the Supply Chain Cannot sell it Cannot dispose of it Yet we have to reduce it???? We can Stack it neatly Dust it off now and again Report on the value of it monthly Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
24.
Example III: Good
E&O Example Not all examples are violations of Supply Chain Physics Strategy in all Subsidiaries of a global CPG company New GM comes in Is shocked by the level of E&O Disparages the old GM for letting this happen Clears the decks: Fire Sale & Write-offs Then rebuilds E&O to the same level until his next promotion Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
25.
Example III: Good
E&O Example Argentina Subsidiary GM realized that this was not a Supply Chain problem alone Sales Finance Assigned: An Inventory Czar A Sales person focused only on E&O Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
26.
Example III: Good
E&O Example Underselling or Overproducing promotions was the largest cause of E&O 10+% in Obsolete alone Two pronged attack Better promotion planning & performance measures Selling off the E&O Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
27.
Example III: Good
E&O Example Better promotion planning & performance measures Tracked Demand Plan vs Actual by Account Manufacturing to begin promotion month with forecast volume in inventory ready to go At mid-month checked Account Forecast vs. Sales This practice led to co-development of Promotions Management Module with ERP provider Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
28.
Example III: Good
E&O Example Marketing folks are paid to Look forward Come up with new news Old promotions, failed products, is so… yesterday No rearview mirrors in Marketing Cars Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
29.
Example III: Good
E&O Example Selling off the E&O Created a space in DC for Saleable E&O Showroom Old promotions considered in new promotions planning Sales person hosted sales managers monthly Review offerings Use E&O in trade promotions Offer cases of E&O as the free goods in BOGOs Finance needed to sign-off on promotions for margin purposes Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
30.
Example IV: Law
of Constraints/Information Aggregate Product Category Demand always goes down year end This year going up with big spikes Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
31.
Example IV: Law
of Constraints/Information 2008 Drop Even larger because of economic downturn Had to downsize inventory 2009 Increase Due to coming out of recession? Returning to pre-recession level of demand? Within LT, cannot react fast enough Seeing and hearing Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
32.
Example IV: Law
of Constraints/Information Actual Sales and Demand Plans can be communicated at the speed of the internet Given our global Supply Chains, that is good But we still have to move the camera from Point A to the store near you and me Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
33.
Example IV: Law
of Constraints/Information While Information was almost instantaneous Lean is not JIT Cannot react to demand spikes or changes within LT Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
34.
Example IV: Law
of Constraints/Information Different product category Same issue Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
35.
Example IV: Law
of Constraints/Information In one SKU, 2 big spikes within lead time Overseas vendor Vendor Stated lead time 75 days Planned lead time 120 days Actual lead time 133 days Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
36.
Example IV: Law
of Constraints/Information 120 Day LT 133 Day LT 75 Day LT No Spikes Unit Cost $2.50 $2.50 $2.50 $2.50 Service Level 98% 98% 98% 98% Projected Demand 100,754 104,291 83,512 90,606 Safety Stock 49,900 51,267 39,008 25,741 Target Inv. Level 150,654 155,558 122,520 116,347 Change 0 4904 -28134 -34307 % Change 0 3% -19% -23% $ Impact $0.00 $12,260.00 -$70,335.00 -$85,767.50 Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
37.
Summary of Examples
We believe that Inventory and Service are the final arbiter of Supply Chain Performance It is the indicator of a company’s Operating Practices & Processes Good & bad Silo improvements only go so far Cross-Functional effort is required when the Interdependent Level is reached Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
38.
Agenda
Re-Cap from Part 1 Four Examples Supply Chain Optimization Two Categories of Violations Conclusion Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
39.
Isn’t there a
lot of Math in Physics??? Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
40.
When we VIOLATE
THE LAWS We compromise Inventory Service Quality Cost Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
41.
When we VIOLATE
THE LAWS We compromise Inventory Cash, Profit Service Customer Loyalty, Revenue Quality Customer Loyalty, Profit Cost Profit We Compromise Performance! Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
42.
When we VIOLATE
THE LAWS Not Accounting for Realities of Compromise & Cause Supply Chain Physics Trade-offs in Performance • Manufacturing Lead Times • Transit Times • Inventory • Production rates • Service • Production capacities • Quality • Warehouse utilization • Cost • Transportation equipment availability • Demand Volatility Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
43.
It is a
complex Multi-Criteria Problem Optimize all i Cost i, Inventory i, Service i, Quality i Subject to: Manufacturing Lead Times > MLTij Transit Times > TTijk Production rates < PRij Production capacities < PCij Warehouse utilization < Wik Transportation equipment availability < Eijk Demand Volatility = σi i = SKU number j = Plant or Supplier (how many plants/suppliers?) k = DC number Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
44.
It is a
Multi-Criteria Problem Optimize Cost i, Inventory i, Service i, Quality i Subject to: Manufacturing Lead Times > MLTij Transit Times > TTijk Production rates < PRij Production capacities < PCij Warehouse utilization < Wik Transportation equipment availability < Eijk Demand Volatility = σi i = SKU number j = Plant or Supplier (how many plants/suppliers) k = DC number Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
45.
Multi-Criteria Optimization?
This is the Whack-a-Moley stuff We can optimize in one dimension When you have two or more dimensions, it is more complicated Are the criteria independent or dependent? Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
46.
Multi-Criteria Optimization?
How is this done mathematically? 1. Prioritize and Optimize – one by one 2. Find the efficient set 3. Map the Criteria into one dimension 4. Change some of the criteria into constraints Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
47.
Money is a
Good Unifying Dimension Money is additive My money, your money becomes our money We add up revenues and cost We minimize costs in the Supply Chain We subtract costs from revenues & try to maximize profits Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
48.
Make some of
the Criteria Constraints This is done in inventory management We want to maximize Service & minimize Inventory They are different units of measure Service is % Case or Unit Fill Inventory is in units or dollars Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
49.
Make some of
the Criteria Constraints Ideally: Want 100% Service but cannot afford that level of inventory So we prioritize using by ABC classification of SKUs or items We set minimum service target levels Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
50.
Service: From Objective
Criteria to Constraint SKU/Item Top Down of Minimum Classification Sales or Margin Service Level A 80% 99% B 15% 97% C 5% 95% Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
51.
Segmentation
3 dimensional product segmentation Set demand plan policy based on: Importance Order Frequency Forecastability H Frequency M L L M H A B C Importance Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
52.
Multi-Criteria Optimization
Hard to do as pure mathematics Close to impossible to get all the equations Things are constantly changing Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
53.
The Supply Chain
Physical World Is a world of constant change New Supply Sources Material and Commodity Pricing Competition Economic factors Technology Make for a world of constant flux Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
54.
Multi-Criteria
Hard to do as pure mathematics Close to impossible to get all the equations Things are constantly changing So we use a combination of Math, Physics, and Heuristics as we do with our DemandCaster software tool Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
55.
Agenda
Re-Cap from Part 1 Four Examples Supply Chain Optimization Two Categories of Violations Conclusion Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
56.
Two categories of
VIOLATIONS 1. That which maybe can be done 2. Impossible to get there from here Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
57.
Two categories of
VIOLATIONS 1. That which maybe can be done 2. Impossible to get there from here • These are violations of the: • Law of Constraints • Law of Information Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
58.
Two kinds of
VIOLATIONS 1. That which maybe can be done Not necessarily impossible But will require efforts of epic proportions And will most likely have a Whack-a-Moley effect on performance 2. Impossible to get there from here Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
59.
Two kinds of
VIOLATIONS 1. That which maybe can be done 2. Impossible to get there from here Are you freaking kidding me? How did you ever get into your position? And remarkably you have kept the job Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
60.
Two kinds of
VIOLATIONS 1. That which maybe can be done 2. Impossible to get there from here Are you freaking kidding me? How did you ever get into your position? And remarkably you have kept the job On the inside Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
61.
Two kinds of
VIOLATIONS 1. That which maybe can be done 2. Impossible to get there from here We calmly, clearly, and politely explain Why no how, no way We can get there from here Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
62.
Two kinds of
VIOLATIONS 1. That which maybe can be done 2. Impossible to get there from here Why can we communicate #2 when we have to? But never communicate #1 with any force? Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
63.
Two kinds of
VIOLATIONS In the Supply Chain We are good corporate citizens We are businessmen We are paid to get things done & have a can do attitude That is why when thing are just “iffy” we say we can do it. We will explore these categories a bit more in Supply Chain Physics 3. Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
64.
Agenda
Re-Cap from Part 1 Four Examples Supply Chain Optimization Two Categories of Violations Conclusion Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
65.
Conclusion
Reviewed the concepts Presented a mathematical optimization model Concept Strategies for Multi-Criteria Optimization Looked at Five Examples Set the stage for Supply Chain Physics 3 Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
66.
Copyright © 2009
Cadent Resources Group, LLC All rights reserved. Not for distribution
67.
Thank You!
Please join us for the final part of Supply Chain Physics Part III: January 20, 2010 – 12 p.m. CST Strategies for Communication & Improvement Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
68.
Software + Expertise
The Cadent Resources Group, LLC Difference Your path to a smarter and healthier company with lower costs and satisfied customers is only a phone call away! Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
69.
Contact Us
Schedule a complimentary 30 minute phone assessment Toll Free: 866-865-2714 asurenian@cadentresources.com mgavoor@cadentresources.com www.demandcaster.com Twitter: @DemandCaster Copyright © 2009 Cadent Resources Group, LLC All rights reserved. Not for distribution
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