1
Session 7
SUPPLY CHAIN PLANNING
Course instructor: Dr. Nguyen Thi Duc Nguyen, School of Industrial Management, Ho Chi Minh city University of Technology
Session 7
Supply chain planning
3 Pricing
4 Inventory and warehouse management
2
Nguyen Thi Duc Nguyen, PhD
3
1.
Smart pricing
Revenue Management: Example
Price
No. seats
2000
1000
P=2000-2Q
Example:
A ship with C=400 identical cabins
The Price-Quantity relationship
4
2
Price
No. seats
P
0
=1200
C=400
Revenue=480,000
Revenue Management: Example
What is the price that the company
should charge to maximize revenue?
5
Price
No. seats
P
0
=1200
C=400
Money on the Table=160,000
Revenue Management: Example
6
Price
No. seats
P
2
=1600
Q
2
=200
Revenue Management: Example
7
Price
No.
seats
C=400
P
1
=1200
Revenue Management: Example
8
3
Price
No. seats
Q
1
=400
P
1
=1200
Q
2
=200
P
2
=1600
Revenue=1600(200) + 1200(400-200)=560,000
Revenue Management: Example
9
Price
No.
seats
Q
1
=400
P
1
=1200
Q
2
=200
P
2
=1600
P
3
=1800
Q
3
=100
Revenue=1800(100) + 1600(200-
100) + 1200(400-200)=580,000
Revenue Management: Example
Can we increase revenue more?
10
How can the firm prevent customers from moving from one class to another?
Leisure
Travelers
Business
Travelers
No
Offer
No
Demand
Sensitivity to
Price
Sensitivity to Duration
Sensitivity to Flexibility
High Low
Low
High
“Allocating the right type of capacity to the right kind of
customer at the right price so as to maximize revenue
or yield”
Traditional Industries:
Airlines; Hotels; Rental Car Agencies;
Retail Industry
11
Revenue Management: Example
Smart Pricing
Customized Pricing
ü
Revenue Management Techniques
Distinguish between customers according to their
price sensitivity
ü
Influence retailer pricing strategies
ü
Move supply chain partners toward global optimization
Dynamic Pricing
ü
Changing prices over time without necessarily
distinguishing between different customers
ü
Find the optimal trade-off between high price and low
demand versus low price and high demand
12
4
Limited Capacity
Demand Variability
Seasonality in Demand Pattern
Short Planning Horizon
A Word of Caution
Amazon.com experimented with dynamic pricing – customers
responded negatively
Coca-Cola distributors rebelled against a seasonal pricing scheme
When does
Dynamic Pricing
Provide Significant
Profit Benefit?
Smart Pricing
13
The Internet makes Smart Pricing Possible
Low Menu Cost
Low Buyer Search Cost
Visibility
To the back-end of the supply chain allows to coordinate pricing,
production and distribution
Customer Segmentation
Difficult in conventional stores and easier on the Internet
Testing Capability
Smart Pricing
14
Discussion
How does your SC case apply Smart Pricing?
1-15
16
2.
Inventory management
5
Understocking: Demand exceeds amount available
–Lost margin and future sales
Overstocking: Amount available exceeds demand
– Liquidation, Obsolescence, Holding
Role of Inventory in the Supply Chain
17
INVENTORY MANAGEMENT
1-17
Improve Matching of Supply
and Demand
Improved Forecasting
Reduce Material Flow Time
Reduce Waiting Time
Reduce Buffer Inventory
Economies of Scale
Supply / Demand
Variability
Seasonal Variability
Cycle Inventory Safety Inventory
Seasonal Inventory
Cost
Efficiency
Availability
Responsiveness
Improve Matching of Supply
and Demand
Supply Chain
18
INVENTORY MANAGEMENT
18
Cycle Inventory
Inventory
Time t
Cycle inventory = lot size/2 = Q/2
Q
19
Economics of Scale to Exploit Fixed Costs
— Economic Order Quantity—
»
D= Annual demand of the product
»
S= Fixed cost incurred per order
»
C= Cost per unit
»
h=Holding cost per year as a fraction of product cost
»
H=Holding cost per unit per year =hC
»
Q=Lot size
»
n=Order frequency
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6
Cost
Lot Size
Lot Sizing for a Single Product (EOQ)
Annual order cost =(D/Q)S=ns
Annual holding cost = (Q/2)H =(Q/2)hC
Annual material cost = CD
TC =CD + (D/Q)S + (Q/2)hC
Holding Cost
Material Cost
Order Cost
Total Cost
21
Lot Sizing for a Single Product
(EOQ
Economic Order Quantity)
Total annual cost, TC =CD + (D/Q)S + (Q/2)hc
Optimal lot size, Q is obtained by taking the first derivative
hC
Q
DS
dQ
TCd
0
2
)(
2
=+
-
=
hC
DS
Q
2
*
=
S
*
DhC
Q
D
n
2
*
==
22
Example
5 Demand
D =1,000 units/month = 12,000 units/year
5 Fixed cost, S = $4,000/order; Unit cost, C = $500; Holding cost, h = 20% = 0.2
Optimal order size
Cycle inventory
Numbers of orders per year
Q = = 980
0.2X500
2X12000X4000
Q/2 =490
D / Q = 12000 / 980 =12.24
If we want to reduce the optimal lot size from 980 to 200,
then how much the order cost per lot should be.
2D
hC( Q*)
2
S =
0.2X500X200
2
2X12000
= = $166.7
> If we increase the lot size by
10% (from 980 to 1100), what the
total cost would be.
Annual cost = $ 98,636 (from $
97,980)(an increase by only 0.6%
(Note: material cost is not
included)
23
Aggregating Multiple Products in a Single Order
24
Ways to lower receiving or loading costs:
One of major fixed costs is transportation
Aggregating across the products from the same supplier
Single delivery from multiple suppliers
Single delivery to multiple retailers

Preview text:

Session 7 1. Smart pricing SUPPLY CHAIN PLANNING 3
Course instructor: Dr. Nguyen Thi Duc Nguyen, School of Industrial Management, Ho Chi Minh city University of Technology Session 7 Revenue Management: Example Supply chain planning Example: Price
• A ship with C=400 identical cabins 2000
• The Price-Quantity relationship P=2000-2Q 3 Pricing 4
Inventory and warehouse management 1000 2 No. seats Nguyen Thi Duc Nguyen, PhD 4 1 Revenue Management: Example Revenue Management: Example
What is the price that the company Price
should charge to maximize revenue? Price Revenue=480,000 P2=1600 P0=1200 C=400 No. seats Q2=200 No. seats 5 7 Revenue Management: Example Revenue Management: Example Price Price Money on the Table=160,000 P1=1200 P0=1200 C=400 No. seats C=400 No. 6 seats 8 2 Revenue Management: Example Revenue Management: Example
How can the firm prevent customers from moving from one class to another? Price •
“Allocating the right type of capacity to the right kind of Sensitivity to Duration
customer at the right price so as to maximize revenue or yield”
Revenue=1600(200) + 1200(400-200)=560,000 Sensitivity to Flexibility •
Traditional Industries: Airlines; Hotels; Rental Car Agencies; Retail Industry Low P2=1600 Leisure No P Travelers 1=1200 Demand High No Business Travelers Offer Sensitivity to Price Q High Low 2=200 Q1 =400 No. seats 9 11 Revenue Management: Example Smart Pricing Can we increase revenue more? • Customized Pricing Price
üRevenue Management Techniques
• Distinguish between customers according to their P3=1800 Revenue=1800(100) + 1600(200- price sensitivity 100) + 1200(400-200)=580,000
üInfluence retailer pricing strategies P2=1600
üMove supply chain partners toward global optimization P1=1200 • Dynamic Pricing
üChanging prices over time without necessarily
distinguishing between different customers
üFind the optimal trade-off between high price and low Q2=200 Q
demand versus low price and high demand 1 =400 Q No. 3=100 seats 10 12 3 Smart Pricing Discussion • • Limited Capacity
How does your SC case apply Smart Pricing? When does • Demand Variability Dynamic Pricing Provide Significant
• Seasonality in Demand Pattern Profit Benefit? • Short Planning Horizon A Word of Caution
•Amazon.com experimented with dynamic pricing – customers responded negatively
•Coca-Cola distributors rebel ed against a seasonal pricing scheme 13 1-15 Smart Pricing
The Internet makes Smart Pricing Possible • Low Menu Cost • Low Buyer Search Cost • Visibility
• To the back-end of the supply chain al ows to coordinate pricing, production and distribution 2. Inventory management • Customer Segmentation
• Difficult in conventional stores and easier on the Internet • Testing Capability 14 16 4 RIo N le V E o Nf T In O v R e Y nt M o A r N y A in G Eth M e E S N u T pply Chain Cycle Inventory
Understocking: Demand exceeds amount available
–Lost margin and future sales
Overstocking: Amount available exceeds demand
– Liquidation, Obsolescence, Holding Inventory Q Time t
Cycle inventory = lot size/2 = Q/2 17 1-17 19 INVENTORY S u M p A p N ly A GC Eha M i E n NT
Economics of Scale to Exploit Fixed Costs — Economic Order Quantity— I Im m p prro o v v e e M M a a t t ching g o f o fS u S p u p p ly ply and Demand n Improved Forecasting
» D= Annual demand of the product Reduce Material Flow Time » Cost Availability
S= Fixed cost incurred per order Efficiency Responsiveness Reduce Waiting Time » C= Cost per unit
» h=Holding cost per year as a fraction of product cost Reduce Buffer Inventory
» H=Holding cost per unit per year =hC Supply / Demand » Q=Lot size Economies of Scale Variability Seasonal Variability » n=Order frequency Cycle Inventory Safety Inventory Seasonal Inventory 18 18 20 5
Lot Sizing for a Single Product (EOQ) Example
► Annual order cost =(D/Q)S=ns
5 Demand, D =1,000 units/month = 12,000 units/year
5 Fixed cost, S = $4,000/order; Unit cost, C = $500; Holding cost, h = 20% = 0.2
Annual holding cost = (Q/2)H =(Q/2)hC Annual material cost = CD 2X12000X4000 》Optimal order size Q = = 980 0.2X500 》Cycle inventory Q/2 =490 TC =CD + (D/Q)S + (Q/2)hC Cost
》Numbers of orders per year D / Q = 12000 / 980 =12.24 Total Cost Holding Cost
► If we want to reduce the optimal lot size from 980 to 200,
then how much the order cost per lot should be.
> If we increase the lot size by
10% (from 980 to 1100), what the Order Cost hC(Q*)2 S = 0.2X500X2002 = = $166.7 total cost would be. 2D 2X12000 Material Cost
Annual cost = $ 98,636 (from $ Lot Size
97,980)(an increase by only 0.6% (Note: material cost is not 21 included) 23
Lot Sizing for a Single Product
(EOQ ーEconomic Order Quantity)
Aggregating Multiple Products in a Single Order
• One of major fixed costs is transportation
Total annual cost, TC =CD + (D/Q)S + (Q/2)hc
Optimal lot size, Q is obtained by taking the first derivative
► Ways to lower receiving or loading costs: d T ( C) D - S hC = + =0 * D 2 S Q =
》 Aggregating across the products from the same supplier dQ Q2 2 hC
》 Single delivery from multiple suppliers
》 Single delivery to multiple retailers * D DhC n = = * Q S 2 22 24 6