Maswali yanayounganishwa na mwongozo · Kati Kiwango

AI katika Maswali ya Vifaa

Majaribio ya vikwazo vya uelekezaji, tathmini ya data ya siku zijazo, ETA zisizo na uhakika, ukaguzi wa utambulisho, matokeo ya huduma, misingi na dosari salama.

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Swali 1 ya 8

A routing model minimizes distance but misses promised delivery windows. What is the issue?

Hakiki kila swali8 maswali

Majibu na maelezo huonekana unapojibu maswali.

  1. A routing model minimizes distance but misses promised delivery windows. What is the issue?
    • The shortest route always meets every commitment
    • Traffic is irrelevant once distance is minimized
    • The model has no input data
    • The objective omitted an important service constraint
  2. Which information can change an estimated arrival time beyond distance?
    • Traffic, weather, and changing route conditions
    • Only the customer’s name
    • The model’s parameter count
    • The truck’s color
  3. Why test demand forecasts on later periods and unusual conditions?
    • Later data are always easier
    • Spikes and operational changes can reveal failures hidden by historical averages
    • A forecast should only fit its training period
    • Unusual conditions do not affect logistics
  4. A route plan has a high efficiency score but violates driver-hour or capacity limits. What should happen?
    • Accept the route because the score is high
    • Allow the model to decide which law to ignore
    • Treat those limits as hard constraints that the objective cannot trade away
    • Update the prediction after delivery
  5. What should an ETA communicate when conditions remain uncertain?
    • A guaranteed arrival time
    • Only the shortest possible travel time
    • An estimate that can be updated, not an unsupported promise
    • The route’s optimization score
  6. Why verify package identity and destination before changing shipment records?
    • Verification makes routing slower without benefit
    • A mismatch can send an item to the wrong place or associate data with another shipment
    • The model already knows the recipient’s identity
    • Package IDs never contain errors
  7. What is a safe fallback when a model or network is unavailable?
    • A manual dispatch path and safe retry behavior
    • Repeat the same command indefinitely
    • Invent an ETA
    • Delete the shipment record
  8. Which result best measures whether a logistics optimization helped?
    • Only predicted distance
    • Number of algorithm iterations
    • Model confidence alone
    • Service level, lateness, fuel, and workload compared with a baseline