Maswali yanayounganishwa na mwongozo · Kati Kiwango

Maswali ya AI katika Maswali ya Kuboresha Msururu wa Ugavi

Tathmini upangaji wa mahitaji, uboreshaji wa hisabati, mawimbi ya nje, mapacha ya kidijitali, upeo wa usumbufu na misururu ya maoni.

Njia za mwongozo zinazohusianaUboreshaji wa Mnyororo wa Ugavi wa AI
Swali 1 ya 8

Ni nini lengo kuu la utabiri wa mahitaji unaoendeshwa na AI katika minyororo ya usambazaji?

Hakiki kila swali8 maswali

Majibu na maelezo huonekana unapojibu maswali.

  1. Ni nini lengo kuu la utabiri wa mahitaji unaoendeshwa na AI katika minyororo ya usambazaji?
    • Kutabiri ni kiasi gani cha kila bidhaa kitauzwa, wapi na lini
    • Kubuni ufungaji wa bidhaa mpya
    • Kuandika nakala ya uuzaji kwa matangazo
    • Kubadilisha wafanyikazi wote wa ghala
  2. Ni aina gani ya shida ambayo maamuzi ya uelekezaji na hesabu kawaida hupangwa kama?
    • Matatizo ya uainishaji wa picha
    • Matatizo ya uboreshaji wa hisabati (k.m., programu za mchanganyiko kamili)
    • Matatizo ya utambuzi wa usemi
    • Matatizo ya kubahatisha bila mpangilio
  3. What type of demand output does the cited Zalando replenishment study integrate into inventory optimization?
    • A guaranteed exact unit count for every future day
    • An unqualified social-media popularity score
    • Probabilistic forecasts that represent uncertainty in future demand
    • A fixed rule that ignores the forecast distribution
  4. What does a digital twin represent in a supply-network scenario?
    • A guarantee that every sensor is live and synchronized at all times
    • A second physical warehouse that automatically executes every decision
    • A model that proves a disruption cannot occur
    • A virtual representation of a physical system that can be linked with data for modeling or simulation
  5. What can make an AI-enabled supply chain more resilient during a disruption?
    • Visibility, scenario planning, and the ability to adjust decisions as conditions change
    • A guarantee that demand will never change
    • Removing all human operators
    • Using only historical averages
  6. How should observed supply-chain outcomes be used in a forecast feedback loop?
    • Assume every new observation automatically improves the model
    • Evaluate forecast errors and consider validated updates using appropriate outcome data
    • Retrain continuously without checking data quality or performance
    • Treat each forecast as a confirmed future outcome
  7. Which replenishment policy did the cited e-commerce study extend?
    • A proportional-derivative controller for motor speed
    • A shortest-path algorithm for vehicle routing
    • The (R, s, Q) policy, adding variables for initial replenishment and a policy horizon
    • A fixed moving-average demand forecast
  8. Why combine forecasts with an optimization model?
    • They are identical tasks
    • Optimization removes all uncertainty
    • Forecasting automatically places orders
    • A forecast estimates future conditions, while optimization chooses actions under constraints