ETS Chapter 24 Flashcards

(7 cards)

1
Q

What is safety loss in transportation?

A

Safety loss refers to the underutilization of resources due to maintaining excess capacity as a buffer against demand fluctuations.

Example: A bus company runs extra buses to handle peak-hour demand, but during off-peak hours, these buses remain mostly empty, leading to resource wastage.

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2
Q

What causes safety loss in transportation systems?

A
  • Over-sizing of transport capacity to avoid rejecting assignments.
  • Keeping extra resources available to ensure a high service level.
  • Fluctuations in demand that create uncertainties.

Example: Airlines keep standby planes to handle unexpected passenger demand, but these planes often remain unused.

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3
Q

What is safety stock, and why is it needed?

A

Safety stock is the extra inventory or capacity maintained to meet unexpected demand. It ensures smooth operations despite fluctuations.

Example: A logistics company keeps additional delivery trucks in case of sudden demand surges.

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4
Q

How is safety stock calculated?

A

Formula:
SL = K * σ * c

K = safety factor
σ = demand variability
c = lead time

Example: A warehouse maintains an extra 500 units of a product to handle unexpected spikes in orders.

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5
Q

How does demand fluctuation impact safety loss?

A

High demand variability forces companies to keep more safety stock or extra capacity, leading to inefficiencies.

Example: A train company schedules extra trains during uncertain weather conditions but may not always need them.

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6
Q

What is the relationship between safety stock and service level?

A

A higher service level requires maintaining more safety stock, which reduces resource utilization efficiency.

Example: A shipping company keeps additional containers on standby to ensure timely deliveries but increases costs.

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7
Q

How can companies reduce safety loss?

A
  • Better demand forecasting to reduce uncertainty.
  • Dynamic resource allocation to adjust capacity based on real-time demand.
  • Flexible contracts to scale resources when needed.

Example: A ride-sharing company adjusts driver availability based on live demand instead of keeping extra drivers on standby.

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