tactical planning issues in supply chain...
TRANSCRIPT
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Tactical planning
issues in supply chain
management
Stephen C. Graves
November 2019
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Supply Chain Example
Support
Chemicals
Slit/Perf
Spool/Pack
Pack Center
Melt/Coat
Distribution
Emulsions
Increasing lot size and lead time
Increasing flexibility and product proliferation
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The Inventory
The Cosmetics Supply Chain
SUPPLIER
WALMART
The Chain
CONSUMER
Supplier
Mtl Whse
Purchase
Retail
Cust Whse
Supplier Mtl Whse RetailCust Whse
0 55 170 245 370 430 610Day
55 115 75 125 60 180
55 170 245 370 430
The Time
Supplier Mtl Whse Mfg Ops Customer WhseFG Whse Retail Store Purchase
Total = 610 days
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Supply Chains and Manufacturing Systems:
Definitions
• Supply chain: sequence of processes that acquire, transform and transport inputs into outputs that can serve and satisfy customer demand
• Manufacturing system: sequence or set of processes that transform inputs into outputs within a supply chain
4
Principles of Manufacturing
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Supply Chains for Manufacturing I and II
• Module I: central theme is inventory planning, across a supply chain or manufacturing system: how much, what type and where, and with what effect?
• Module II: central theme is capacity planning, across a supply chain or manufacturing system: how much, what type and where, and with what effect?
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Principles of Manufacturing
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What makes planning difficult?
• Complexity of the system due to number of process steps, diversity of product flows, and time dimension
• Variability in demand and supply
• Inflexibility of process resources: constraints and/or economies of scale
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Principles of Manufacturing
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Supply Chain Management
SCM is a set of approaches utilized to efficiently integrate suppliers, manufacturers, warehouses, and stores, so that merchandize is produced and distributed at the right quantities, to the right locations, and at the right time, in order to minimize system-wide costswhile satisfying service level requirements
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Types of variability
Demand: volume, mix
Process: yield, cycle time
Procurement: yield, lead time, quality
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Other types of variability
Rare and disruptive events (versus
nominal variability)
“predictable” variability, eg, cyclic
patterns (versus probabilistic variability)
Self-induced variability, eg, demand
amplification, batching,… (versus
exogenous)9
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How do SCs cope with variability?
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Manufacturer
Distributor
Consumer
Supplier
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Counter measures: Buffers
Buffers: inventory, capacity, time
Inventory can be held across SC
Reserved or underutilized capacity
provides response option
Increased process flow time or customer
service time creates time window to
balance supply and demand
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Counter measures: operational
tactics
Product/process design to permit delayed
differentiation
Smoothing to dampen variability propagation
Dual sourcing (& expedited shipping) to
provide quick response options
Better forecasts, coordinated planning,
information sharing
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Dealing with variability:
examples
Safety stock location in a SC
Delayed differentiation in a SC
Dual sourcing & quick response
Coordinated planning
Smoothing
Better forecast
Inventory rationing
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Dealing with variability:
examples
Safety stock location in a SC
Delayed differentiation in a SC
Dual sourcing
Coordinated planning
Smoothing
Better forecast
Inventory rationing
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Safety stock location
Safety stock optimization in a supply
chain
Key concept:
⚫ Inventory depends on demand variability
over total lead-time LT
⚫ Demand variability over LT proportional
to
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LT
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Supply Chain ExampleInventory optimization in high volume aerospace supply chains
Masse, Brian, S.M, 2011
Part Part Value
Lead
Time (weeks)
Blade 1 $400 4
Blade 2 $425 4.5
Intermediate Part $250 2
Cover $2 1
Casting $75 8
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Hold only FGs; total inventory = $189,000
Part
Part
Value
($)
Lead
Time
(weeks)
Service Time
(weeks)
Safety Stock
(units)
Safety Stock
Value ($)
Blade 1 $400 4 0 150 60,000
Blade 2 $425 4.5 0 305 129.000
Intermediate Part $250 2 10 0 0
Cover $2 1 1 0 0
Casting $75 8 8 0 0
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Hold SS at each stage; total inventory = $155,000
Part
Part
Value
($)
Lead
Time
(weeks)
Service Time
(weeks)
Safety Stock
(units)
Safety Stock
Value ($)
Blade 1 $400 4 0 80 32,000
Blade 2 $425 4.5 0 170 72.000
Intermediate Part $250 2 0 126 32,000
Cover $2 1 0 89 200
Casting $75 8 0 253 19,000
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Optimal SS strategy – hold castings;
total inventory = $145,000
Part
Part
Value
($)
Lead
Time
(weeks)
Service Time
(weeks)
Safety Stock
(units)
Safety Stock
Value ($)
Blade 1 $400 4 0 98 39,000
Blade 2 $425 4.5 0 204 87.000
Intermediate Part $250 2 2 0 0
Cover $2 1 1 0 0
Casting $75 8 0 253 19,000
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What are the key supply chain challenges?
How do supply chains cope?
How might AM help?
ADDITIVE MANUFACTURING FOR SUPPLY CHAINS: Quick Response
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Generic supply chain
Component suppliers
Contract manufacturer
OEMDist Center
(DC)
Retaliers’DCs
Retailers’ stores
months
months to quarters
weeks to months
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Additive manufacturing supply chain
Local AM shop
Retalierstore
Customer order
days to a week
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Repetitive Manufacturing Example• What’s the total cost for long vs. short SC?
• Variable costs: • RMs• Mfg• Ship• Taxes & Duties
• Inventory holding costs• Pipeline stock• Cycle stock• Safety stock
.2 2
. /2 2
rhInv cost L h h z L r
h rInv cost unit L h h z cv L r
= + + +
= + + +
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Last Buy Example• We can execute a last buy with primary supplier at $1/unit; • Leftover units have no value • A shortage costs $10/unit• Remaining demand is U(100, 200)
• With AM, suppose we make parts on demand at cost c > $1/unit.
• How does the Last Buy change?
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Enormous reduction in inventory and transportation
Slow mover and customized demand can be served
Increased SC responsiveness to highly variable demand
Implications from shorter supply chain
Whether it’s cheaper or not will depend…..
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Dealing with variability:
examples
Safety stock location in a SC
Delayed differentiation in a SC
Dual sourcing
Coordinated planning
Smoothing
Better forecast
Inventory rationing
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0
100,000
200,000
300,000
400,000
500,000
Min Commit Possible Future OQ
0
100,000
200,000
300,000
400,000
500,000
Business as Usual (BAU) Ordering Policy
OQ Forecast
Ordering Policy – Business as usual and To-Be States
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*OQ (Order Quantity) Forecast = Purchase Forecast provided to CM/OEM
Ana María Ortiz García, “Evaluating Inventory Ordering
Policies: a Methodology and Application,” S.M. June
2016.
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Dynamic forecast process
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demand forecasts
period 1 2 3 4 5 6
JAN 97 93 100 100 97 90FEB
MAR
APR
demand forecasts
period 1 2 3 4 5 6
JAN 97 93 100 100 97 90
FEB 102 94 97 99 98 88 102MAR
APR
demand forecasts
period 1 2 3 4 5 6
JAN 97 93 100 100 97 90
FEB 102 94 97 99 98 88 102
MAR 84 105 99 94 86 97 95APR
demand forecasts
period 1 2 3 4 5 6
JAN 97 93 100 100 97 90
FEB 102 94 97 99 98 88 102
MAR 84 105 99 94 86 97 95
APR 107 103 93 83 97 94 99
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Dynamic forecast process & Frozen orders
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demand forecasts
period 1 2 3 4
JAN 97 93 100 100FEB
MAR
demand forecasts
period 1 2 3 4
JAN
FEB 102 95 104 99 95
MAR
demand forecasts
period 1 2 3 4
JAN
FEB
MAR 84 100 97 95 86
Orders
period 1 2 3 4
JAN 97 93 100 100FEB
MAR
Orders
period 1 2 3 4
JAN
FEB 93 100 110 95
MAR
Orders
period 1 2 3 4
JAN
FEB
MAR 100 110 78 86
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0
100,000
200,000
300,000
400,000
500,000
Min Commit Possible Future OQ
0
100,000
200,000
300,000
400,000
500,000
Business as Usual (BAU) Ordering Policy
OQ Forecast
Ordering Policy – Business as usual and To-Be States
32
*OQ (Order Quantity) Forecast = Purchase Forecast provided to CM/OEM
0
100,000
200,000
300,000
400,000
500,000
Proposed To-Be Ordering Policy
LT Committed Base Addl Flex Quantity OQ Forecast
Ana María Ortiz García, “Evaluating Inventory Ordering
Policies: a Methodology and Application,” S.M. June
2016.
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0
100,000
200,000
300,000
400,000
500,000
Min Commit
0
100,000
200,000
300,000
400,000
500,000
Business as Usual (BAU) Ordering Policy
OQ…
Ordering Policy – simulated performance
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0
100,000
200,000
300,000
400,000
500,000
Proposed To-Be Ordering Policy
LT Committed Base Addl Flex Quantity
Demand: = 100; = 13
3-month freeze; Vendor Orders: = 100; = 40; Verizon SS = ~ 100
Committed base = 90; with flex ordering:
Vendor Orders: = 100; = 11; Verizon SS = ~ 24
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Wrap-Up:
Dealing with variability
Safety stock location in a SC
Delayed differentiation in a SC
Dual sourcing & quick response
Coordinated planning
Smoothing
Better forecast
Inventory rationing
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