Coursera Answers - Supply Chain Planning

Supply Chain Planning Coursera Answers: A Comprehensive Guide

• Data Collection: Gathering data on demand, supply, production, and logistics.
• Analysis: Analyzing data to identify trends, patterns, and anomalies.
• Forecasting: Using statistical models and machine learning algorithms to forecast demand and supply.
• Planning: Developing plans for production, logistics, and distribution.
• Execution: Implementing plans and monitoring performance.
• Review and Revision: Reviewing performance and revising plans as needed.

A metric used to measure the accuracy of your forecast. A lower MSE indicates a more accurate model. Safety Stock: supply chain planning coursera answers

The Scenario:

The supply chain planning process typically involves the following steps: Data Collection : Gathering data on demand, supply,

• Trap answer: Using all overtime in Q3 only. (Wrong, because overtime is capped at 30, so you still need 20 from inventory).
• Correct strategy: Build inventory in Q1 (produce 150, sell 100, hold 50) and Q2 (produce 150, sell 150, hold 50). Use inventory (50) + overtime (30) + regular (150) = 230 in Q3 (Sell 200, keep 30? No, sell 200, hold 30 for Q4).