Supply Chain Coordination and Management Flashcards

1
Q

What is the bullwhip effect?

A

Variation amplifies as it moves up the supply chain from customers towards supply

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2
Q

What are the consequences of the bullwhip effect?

A

-Excessive inventory
-Excessive capacity and inefficient production
-High transportation cost
-Increased lead time
-Poor customer service due to stockouts

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3
Q

What are the causes of the bullwhip effect?

A

-Lack of information sharing & trust
-Reactive and over-reactive ordering
-Shortage gaming
-Order batching and synchronisation
-Price fluctuations

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4
Q

What are mitigating strategies for the bullwhip effect?

A

-Enhance information sharing and build trust through collaboration
-Share data, collaborative planning, forecasting and replenishment
-Turn and earn, restrict returns and order cancellations
-Reduce setup costs, aggregate during transport and spread deliveries evenly
-Do not implement trade promotions

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5
Q

What are Vendor Managed Inventories?

A

-The supplier is responsible for all inventory decisions at the retailer
-Retailer must share data with the supplier

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6
Q

How does order synchronisation cause the bullwhip effect?

A

When retailers synchronise orders it means the supplier’s daily demand is much more variable than consumer demand

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7
Q

How does order batching cause the bullwhip effect?

A

When ordering in batches, retailers order in pallet quantities which causes the variability of supplier demand to be greater than consumer demand

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8
Q

How do trade promotions and forward buying cause the bullwhip effect?

A

-Trade promotions encourage retailers to buy more than they need to meet short-term demand
-This causes significant demand variability in a short period

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9
Q

How does reactive and overreactive ordering cause the bullwhip effect?

A

-If inventory managers see an unusually low or high demand, they exaggerate how much inventory is actually needed which causes an increase in supplier demand variability

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10
Q

What is shortage gaming and when does it occur?

A

-Retailers engage in shortage gaming when the next replenishment of inventory is uncertain
-Suppliers may also not have the capacity to meet the demand
-In response, suppliers may implement a proportional allocation scheme
-As a result, retailers may order more than required

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11
Q

How does shortage gaming cause the bullwhip effect?

A

It increases the variability of supplier demand

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12
Q

What is another effect apart from the bullwhip effect that can result from shortage gaming?

A

It can cause a mismatch of supply and demand for retailers

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13
Q

How does information sharing mitigate the bullwhip effect?

A

-Giving suppliers better access to consumer data can allow them to better assess trends in demand
-Retailers should also offer information on potential promotions they are going to implement

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14
Q

How does smoothing the production flow mitigate the bullwhip effect?

A

-This eliminates the reasons why retailers may want to order at the same time thereby mitigating order synchronisation

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15
Q

How can shortage gaming be mitigated?

A

-Implementing order cancellation or non-refundable deposits for orders
-Forgoing retail orders altogether and simply allocating inventory to retailers

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16
Q

What are the characteristics of VMI?

A

-Retailer no longer makes the inventory decisions, the supplier does
-Retailer shared demand data with the supplier
-Supplier and retailer eliminate trade promotions

17
Q

What are the benefits of VMI?

A

-Reduces order synchronisation
-Suppliers can ship in smaller lots which combats the batching effect
-Computerised system can combat overreaction

18
Q

What is production smoothing and how does it mitigate the bullwhip effect?

A

-Retailers increase the inflow of inventory in the lead up to a busy period (e.g Xmas)
-This reduces the amount of ordering needed during the busy period thereby decreasing demand variability

19
Q

What is the relationship between capacity pooling and waiting times?

A

-Capacity pooling can reduce waiting times
-Queueing systems exhibit economies of scale
-Larger systems have a shorter waiting time at a given utilisation level
-Larger systems can achieve higher utilisation while maintaining the same responsiveness

20
Q

What are the concerns of capacity pooling?

A

-Pooling benefits are lower when the pooled systems are not truly independent
-Pooling may require a broader range of skills of the workforce
-Customers may value being treated consistently by the same person
-Pooling may introduce additional setups

21
Q

What is the protection level in revenue management?

A

This is the number of units reserved for a higher price

22
Q

What is the booking limit in revenue management?

A

This is the number of units reserved for a lower price

23
Q

How doe you calculate the optimal protection level?

A

-Calculate the overage cost: low price
-Calculate the underage cost: High price-low price
-Calculate the critical ratio
-Use this to determine the optimal number of units to reserve at the high price
-1-critical ratio is the booking limit

24
Q

What is overbooking?

A

-This is when more reservations are accepted than capacity
-Accounts for no-shows

25
Q

How to calculate the optimal number of oversold units?

A

-Calculate the overage cost: Low price + additional cost
-Calculate the underage cost: High price - low price
-Calculate the new critical ratio
-Use this to determine the optimal number of oversold units
-Add this to maximum capacity to determine total number of units sold

26
Q

What is the goal of revenue management?

A

-Maximise revenue out of fixed supply

27
Q

What are the conditions for booking limits to be effective?

A

-The same unit of capacity can be sold to different customer segments
-There are distinguishable customer segments with different price sensitivities
-Capacity is perishable
-Capacity is restrictive
-Capacity is sold in advance
-The firm has the ability to charge different prices to different customer segments

28
Q

What are additional considerations for revenue management?

A

-Demand forecasting: Demand forecasts need to be accurate
-Dynamic Devisions: Forecasts change so decisions on booking limits need to be reviewed frequently
-Variability in available capacity: If a firm can change capacity this needs to be built into the forecast
-Reservations in groups: The method here assumed bookings only come one at a time
-Effective segmentation: In practice customer segmentation might not be practical
-Multiple fare classes: In reality there are often more than 2 fare classes
-Variation in purchase capacity: this framework does not account for customers purchasing more than 1 unit