AI dalam Kuis Optimasi Rantai Pasokan

Jawaban dan penjelasan muncul saat Anda mengikuti kuis.

1. Apa tujuan utama peramalan permintaan berbasis AI dalam rantai pasok?
   • Untuk memprediksi berapa banyak setiap produk yang akan terjual, di mana, dan kapan
   • Untuk merancang kemasan produk baru
   • Untuk menulis salinan pemasaran untuk promosi
   • Untuk menggantikan semua pekerja gudang
2. Jenis masalah apa yang biasanya dibingkai dalam keputusan perutean dan inventaris?
   • Masalah klasifikasi gambar
   • Masalah optimasi matematika (misalnya, program bilangan bulat campuran)
   • Masalah pengenalan ucapan
   • Masalah menebak secara acak
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