Kuiz berkaitan panduan · Sederhana Tahap

AI dalam Kuiz Pengoptimuman Rantaian Bekalan

Menilai perancangan permintaan, pengoptimuman matematik, isyarat luaran, kembar digital, skop gangguan dan gelung maklum balas.

Laluan panduan yang berkaitanAI Dalam Pengoptimuman Rantaian Bekalan
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Apakah matlamat utama ramalan permintaan dipacu AI dalam rantaian bekalan?

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Jawapan dan penjelasan muncul semasa anda mengambil kuiz.

  1. Apakah matlamat utama ramalan permintaan dipacu AI dalam rantaian bekalan?
    • Untuk meramalkan berapa banyak setiap produk akan dijual, di mana, dan bila
    • Untuk mereka bentuk pembungkusan produk baru
    • Untuk menulis salinan pemasaran untuk promosi
    • Untuk menggantikan semua pekerja gudang
  2. Jenis masalah manakah yang biasanya dirangka sebagai keputusan penghalaan dan inventori?
    • Masalah klasifikasi imej
    • Masalah pengoptimuman matematik (cth., program integer bercampur)
    • Masalah pengecaman pertuturan
    • Masalah tekaan rawak
  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