beer.game.and.risk.pooling.man.help
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Beer.game.and.risk.Pooling.man.HelpTRANSCRIPT
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Computerized Beer Game
Designing & Managing the Supply Chain
Appendix A
Youn-Ju Woo
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Outline
Introduction
The Traditional Beer Game
The Scenarios
Playing a round
Options and Settings
Summary
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Introduction
Traditional Beer Game Role-playing simulation of a simple production and distribution
system MIT developed in the 1960s
Computerized Beer Game Similar to Traditional Beer Game Possible to test the various SCM concept
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The Traditional Beer Game (1)
Retail Manager• Observing external demand• Filling demand as much as
possible• Record Back orders• Place order with wholesaler Demand
Card
Factory Manager• Observing demand• Filling demand and back
orders• Begins production
Wholesaler Manager• Observing demand • Filling demand and back
orders• Place order with distributor
Distributor Manager• Observing demand • Filling demand and back
orders• Place order with factory
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The Traditional Beer Game (2)
Goal of Team Minimize : Total cost = Holding cost + Shortage cost
Game Rules Back-order should be filled ASPS Each manager has only local information 25 ~50 weeks Holding cost $0.50, Shortage cost $1
End of the game Players are asked to estimate customer demand The demand information is opened to players
• Demand is 4 during the 4 weeks and 8 during the last
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The Traditional Beer Game (3)
Difficulties The students focus on correctly following the rules, not develop-
ing an effective strategy Demand pattern does not reflect a realistic supply chain sce-
nario Doesn’t demonstrate several important issues in SCM
• The real objective is to minimize the total system cost, not individual performance
Shortening cycle times and centralizing information are useful
The computerized Beer Game is developed
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The Scenarios (1) A simplified beer supply chain
Consist of a single retailer, a single distributor, a single whole-saler and a single factory
Each component has unlimited storage capacity, fixed lead time and order delay time
Every week, each component tries to meet the de-mand of downstream component Meet every back order ASPS No ignore any order Member orders item to the upstream component
Place an order W
Supplier gets order
W+1
Arrive or-dered item W+3
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The Scenarios (2)
Other options to model various situations Lead time reduction, global information sharing, centralized
management
A centralized scenario Factory manager controls the entire supply chain and has infor-
mation of external demand and entire inventory Only factory can place orders Only retailer pays a $4.0 shortage cost
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Playing a round (1)
Modeling the first scenario Player chooses one component
(Retailer, Wholesaler, Distributor, Factory) Computer takes the remaining roles
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Playing a round (2) Order of Events
Step 1
◦ Contents of delay 2 moved to delay 1
Step 2
◦ Order from downstream facility are filled
◦ Order = current order + back orders
◦ Remaining orders = current inventory – Order
Back orders
◦ Except the retailer, the orders are filled to the delay 2 location of the downstream
Step 3 ◦ Total costs = accumulated cost from previous period + shortage and Holding cost
◦ Holding cost = $ 0.5 ×(Inventory at facility + in transit to the next downstream)
◦ Shortage cost = $ 1 ×Back orders
Step 4
◦ Player input the order quantity, other orders are placed by computer
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Playing a round (3) Understanding the Screen
Example; Distributor
Total cost : Accumulated cost from previous period and shortage
and Holding cost Backorder: Orders received by the Distributor but not yet met
from inventory
Number of items in inventory
In transit to inventory
Delay 1: No. of items will arrive in one week
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Playing a round (4)
Start Button
Week 0 Initial inventory : 4 unit Delay 1 : 4 unit Delay 2 : 4 unit
Week 1 Inventory : 8 unit Delay 1 : 4 unit Delay 2 : 0 unit
Input order quantity
1. Click start
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Playing a round (5)
2. Enter a demand amount ( Ex, Input 3) Make balance inventory holding costs and shortage costs Check the amount of back order your upstream supplier already
has to fill After entering the quantity, the remaining members play automat-
ically, the screen is updated
Total cost = (4 + 0 + 8) ×$ 0.5 = $ 6
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Playing a round (6)
3. Select Next Round The upstream supplier will try to meet last period’s order (3) Enter order 6
Total cost = $ 6 + (0 + 0 + 12) ×$ 0.5 = $ 12
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Playing a round (7)
3. Select Next Round Total cost = $ 12 + (0 + 12 + 0) ×$ 0.5 + 18 ×$ 1 = $ 36
How much order quantity should be entered?
Order = current order + back orders
Level of back order at the beginning of this round, before the player attempted to fill downstream or-ders
How much total back order
Current level of back order
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Options and Settings (1)
File Commands File-Reset : Reset the game File-Exit : Exit the game
Options Commands Options-Player
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Options and Settings (2) Options Commands
Options-Policy • s-S: When inventory falls below s, the system order to bring inventory to S
• S-Q: When inventory falls below s, the system places an order for Q
• Order to S: Each week, the system order bring inventory to S
• Order Q: Each week, the system orders Q • Updated s: The order-up-to level s is updated
- The moving average of demand over past 10 wks
- Inventory level falls below s, the system orders up to s, the maximum order size is S
• Echelon: A modified version of perododic re-view echelon policy
.5
.5
.5
.5
: ( ) ( ) ( ) ( )
: ( ) ( ) ( ) ( )
: (2 ) ( ) ( ) (2 )
: (3 ) ( ) ( ) (3 )
retailer s L r AVG D M STD D L r
wholesaler s L L r AVG D M STD D L L r
distributor s L L r AVG D M STD D L L r
factory s L L r AVG D M STD D L L r
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Options and Settings (3) Options - Short Lead Time
• Remove delay 2, shorten lead time to 1 week Option - Centralized
• The interactive player manages the factory, can observe external demand and react it
• The inventory is only held by Retailer Option - Demand
• Set the external customer demand• Deterministic – Select the constant
demands and weeks• Random Normal – Select Means,
stds, weeks Option – Global Information
• Display iventory and cost information
and external demand at all of the stages
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Options and Settings (4) The Graphs Commands
Graphs - Player
Graphs – Others
Graphs - System
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Options and Settings (5) The Reports Commands
Reports - Player
Reports – Others
Reports - System
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Summary
Usage of Computerized Beer Game Test the Traditional Beer Game
Possible to test the various SCM concept• Shortened lead time• Centralized SCM• SCM with Global information system • Setting Various Demand
Display Results• Graph• Report
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The Risk Pool Game
Designing & Managing the Supply Chain
Appendix B
Youn-Ju Woo
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Outline
Introduction
The Scenarios
Playing several round
Options and Settings
Summary
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Introduction
Concept of Risk Pooling If each retailer maintains separate inventory and safety stock,
the higher level of inventory is needed than using pooling system
Risk Pooling Game Execute both system simultaneously
• A system with risk pooling – Centralized System• A system without risk pooling – Decentralized System
Compare the performances to understand the concept
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The Scenarios Centralized Game
A supplier serves a warehouse, which serves three retailers
Decentralized Game Three retailers order separately , and supplier ships material directly to
each retailer
If the demand is not fulfilled at the time, it is lost. The goal in both system is to maximize profit
Supplier Warehouse
Retailer
Retailer
Retailer
Order
Supply
Order
Supply2 periods
2 periods
Supplier
Retailer
Retailer
Retailer
Order
Supply4 periods
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Playing a round (1)
Description of Screen
Supplier
Inventory at least 4 period away from re-tailers
Order from supplier
Allocation to retailers
Inventory of retailers
Cost of goods sold
Holding Cost
= Revenue – (COGS + Holding)
= Demand met / To-tal demand * 100
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Playing a round (2) Order of Events Step 1.
Step 2.
Step 3.
Step 4.
Step 5.
• Centralized System: Four period moves to three periods
away, inventory three periods is added to warehouse inventory• Inventory one moved to retailer inventory
• Each retailer fills demand as much as possible• Both systems faces the same demand
• Centralized System: Enter an order for the supplier or keep the default value
Allocate the warehouse inventory to the retailers• Decentralized System: Enter an order for each retailer or keep the default value• The allocation amount must be less than or equal to the total warehouse inventory• Press Orders button
• Orders are filled
• Cost, Revenue, and service level is calculated
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Playing a round (3)
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Playing a round (4)
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Options and Settings (1)
Play – Play Options Initial Conditions
• The retailers must have same initial inventory• The transit inventories should be same
Demand• Normal distribution
with mean and standard deviation• The slider control enables to control
the correlation of demand at retailers
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Options and Settings (2)
Inventory Policy• Safety Stock policy
- Select order-up-to levels
- Using multipliers by
mean demand and Std. deviation• Weeks of Inventory policy
- A single value multiplied by
mean demand
Cost• Holding cost, Cost, and Revenue cost
are per item per period
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Options and Settings (3) The Reports Commands
Reports - Orders
Reports – Demands