Discussion 2
13
Determining the Optimal Level of Product Availability
PowerPoint presentation to accompany
Chopra and Meindl Supply Chain Management, 5e
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Copyright ©2013 Pearson Education, Inc. publishing as Prentice Hall.
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Learning Objectives
Identify the factors affecting the optimal level of product availability and evaluate the optimal cycle service level
Use managerial levers that improve supply chain profitability through optimal service levels
Understand conditions under which postponement is valuable in a supply chain
Allocate limited supply capacity among multiple products to maximize expected profits
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Notes:
Importance of the Level of Product Availability
Product availability measured by cycle service level or fill rate
Also referred to as the customer service level
Product availability affects supply chain responsiveness
Trade-off:
High levels of product availability increased responsiveness and higher revenues
High levels of product availability increased inventory levels and higher costs
Product availability is related to profit objectives and strategic and competitive issues
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What is the importance of product availability?
Responsiveness to meet demand
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Factors Affecting the Optimal Level of Product Availability
Cost of overstocking, Co
Cost of understocking, Cu
Possible scenarios
Seasonal items with a single order in a season
One-time orders in the presence of quantity discounts
Continuously stocked items
Demand during stockout is backlogged
Demand during stockout is lost
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Optimum level of productivity
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Desired Cycle Service Level for Continuously Stocked Items
Two extreme scenarios
All demand that arises when the product is out of stock is backlogged and filled later, when inventories are replenished
All demand arising when the product is out of stock is lost
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Managerial Levers to Improve Supply Chain Profitability
“Obvious” actions
Increase salvage value of each unit
Decrease the margin lost from a stockout
Improved forecasting
Quick response
Postponement
Tailored sourcing
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Improved Forecasts
Improved forecasts result in reduced uncertainty
Less uncertainty results in
Lower levels of safety inventory (and costs) for the same level of product availability, or
Higher product availability for the same level of safety inventory, or
Both
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Quick Response: Impact on Profits and Inventories
Set of actions taken by managers to reduce replenishment lead time
Reduced lead time results in improved forecasts
Benefits
Lower order quantities thus less inventory with same product availability
Less overstock
Higher profits
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Quick Response: Multiple Orders Per Season
Three important consequences
The expected total quantity ordered during the season with two orders is less than that with a single order for the same cycle service level
The average overstock to be disposed of at the end of the sales season is less if a follow-up order is allowed after observing some sales
The profits are higher when a follow-up order is allowed during the sales season
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Quick Response: Multiple Orders Per Season
Figure 13-4
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Quick Response: Multiple Orders Per Season
Figure 13-5
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Postponement: Impact on Profits and Inventories
Delay of product differentiation until closer to the sale of the product
Activities prior to product differentiation require aggregate forecasts more accurate than individual product forecasts
Individual product forecasts are needed close to the time of sale
Results in a better match of supply and demand
Valuable in online sales
Higher profits through better matching of supply and demand
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Tailored Sourcing
A firm uses a combination of two supply sources (vendors)
One is lower cost but is unable to deal with uncertainty well
Second more flexible but is higher cost
Focus on different capabilities
Increase profits, better match supply and demand
May be volume based or product based
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Copyright ©2013 Pearson Education, Inc. publishing as Prentice Hall.
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Copyright ©2013 Pearson Education, Inc. publishing as Prentice Hall.
Summary of Learning Objectives
Identify the factors affecting the optimal level of product availability and evaluate the optimal cycle service level
Use managerial levers that improve supply chain profitability through optimal service levels
Understand conditions under which postponement is valuable in a supply chain
Allocate limited supply capacity among multiple products to maximize expected profits
13-‹#›
Copyright ©2013 Pearson Education, Inc. publishing as Prentice Hall.
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Copyright ©2013 Pearson Education, Inc. publishing as Prentice Hall.
14
Notes:
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Copyright ©2013 Pearson Education, Inc. publishing as Prentice Hall.
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Copyright ©2013 Pearson Education, Inc. publishing as Prentice Hall.
376 Chapter 13 • Determining the Optimal Level of Product Availability
Unsold Inventory at End of Season
Number of Order Cycles per Season
FIGURE 13-4 Leftover Inventory versus Number of Order Cycles per Season
Expected Profit
Number of Order Cycles per Season
FIGURE 13-5 Expected Profit versus Number of Order Cycles per Season
1. The expected total quantity ordered during the season with two orders is less than that with a single order for the same cycle service level. In other words, it is possible to provide the same level of product availability to the customer with less inventory if a second, follow- up order is allowed after observing some sales.
2. The average overstock to be disposed of at the end of the sales season is less if a follow-up order is allowed after observing some sales.
3. The profits are higher when a follow-up order is allowed during the sales season.
In other words, as the total quantity for the season is broken up into multiple smaller orders with the size of each order based on some observed sales, the buyer is better able to match supply and demand and increase profitability for Saks. These relationships are shown in Figures 13-4 and 13-5.
We now consider the case in which the buyer improves her forecast accuracy for the second order after observing some of the season’s demand. As a result, the standard deviation of weekly demand forecast drops from 15 to 3 for the second seven-week period. In this setting, the first order stays at 195 shawls as discussed earlier. For the second order, however, we must
M13_CHOP3952_05_SE_C13.QXD 11/14/11 8:04 PM Page 376
376 Chapter 13 • Determining the Optimal Level of Product Availability
Unsold Inventory at End of Season
Number of Order Cycles per Season
FIGURE 13-4 Leftover Inventory versus Number of Order Cycles per Season
Expected Profit
Number of Order Cycles per Season
FIGURE 13-5 Expected Profit versus Number of Order Cycles per Season
1. The expected total quantity ordered during the season with two orders is less than that with a single order for the same cycle service level. In other words, it is possible to provide the same level of product availability to the customer with less inventory if a second, follow- up order is allowed after observing some sales.
2. The average overstock to be disposed of at the end of the sales season is less if a follow-up order is allowed after observing some sales.
3. The profits are higher when a follow-up order is allowed during the sales season.
In other words, as the total quantity for the season is broken up into multiple smaller orders with the size of each order based on some observed sales, the buyer is better able to match supply and demand and increase profitability for Saks. These relationships are shown in Figures 13-4 and 13-5.
We now consider the case in which the buyer improves her forecast accuracy for the second order after observing some of the season’s demand. As a result, the standard deviation of weekly demand forecast drops from 15 to 3 for the second seven-week period. In this setting, the first order stays at 195 shawls as discussed earlier. For the second order, however, we must
M13_CHOP3952_05_SE_C13.QXD 11/14/11 8:04 PM Page 376