Supply Chain Analytics Essentials Coursera Quiz Answers

Get Supply Chain Analytics Essentials Coursera Quiz Answers

Week 2: Supply Chain Analytics Essentials

Quiz 1: Supply Chain Management and Analytics Basics

Q1. What is a supply chain?

• A network of companies that creates, produces and deliver products and services
• The integrated processes of a company that involves sourcing, making and delivery of its products and services

Q2. What are the goals of supply chain management?

• Reduce cost and risk
• Improve productivity and efficiency
• Increase revenue
• Improve customer satisfaction

Q3. One goal of supply chain management is cost reduction, what types of cost is included?

• The cost of goods sold (COGS), such as procurement and production costs
• The costs associated with financing and investment
• Operating cost, such as logistics, inventory and warehousing costs.

Q4. How can supply chain management create a long-term competitive advantage for companies?

• Cheaper, faster and higher quality
• By improving customer satisfaction through higher operational expenses
• By improving efficiency and reducing risk
• By improving customer satisfaction and reducing cost in the same time

Q5. What types of analytics are applicable to supply chain management?

• Predictive analytics
• Prescriptive analytics
• Descriptive analytics
• Diagnostics analytics

Q6. What are the purposes of descriptive analytics?

• To assess the current status of the system
• To quantify the system performance quantiatively
• To answer the question of how well (poorly) we are doing?

Q7. What are the purposes of diagnostics analytics?

• To quantify the impact of various factors on the performance
• To identify the driving force(s) of the performance
• Link performance to root cause(s)

Q8. What are the purposes of predictive analytics?

• To estimate the consequences of certain actions
• To predict what will happen in the future
• To predict the outcome of the system for various likely scenarios

Q9. What are the purposes of prescriptive analytics?

• To provide decision support for a better system performance
• To balance the trade-offs among conflicting forces so as to improve the net outcome
• To improve the performance of the system by making optimized decisions
• To make decisions automatically for the system

Q10. Why is analytics critical to supply chain management?

• Analytics provides quantitative insights (rather than qualitative guesswork) on a supply chain’s performance
• Analytics can integrate data from multiple sources to link performance to causes
• Analytics can tell which strategy is better, by how much and under what assumptions

Quiz 2: Domains In a Supply Chain

Q1. What are the domains (functional areas) in a supply chain in manufacturing/trade industries?

• Services
• Move or distribution / logistics
• Source or sourcing
• Make or production
• Sell or selling

Week 3: Supply Chain Analytics Essentials

Quiz 1: Sell Analytics

Q1. What are the key performance indicators of Sell Analytics?

• Revenue
• Customer satisfaction
• Cost

Q2. What is the objective of sell analytics?

• improve quality of the products and services
• Sell faster and more
• increasing sales and reduce cost

Quiz 2: Logistics Analytics

Q1. What are the key performance indicators of logistics?

• Quality of products
• Time, such as fulfillment time and on-time delivery performance
• Logistics costs, such as shipping cost, inventory cost and warehousing cost

Q2. What is the objective of move (logistics) analytics?

• Fulfill demand timely and cost efficiently
• Improve service levels and reduce cost

Quiz 3: Make Analytics

Q1. What are the key performance indicators for production systems?

• Production cost
• Cycle Time
• Quality or defects
• Product variety

Q2. What is the objective of make analytics?

• To increase the quality and reduce cost while meeting all customer demand
• Manage machines, workforce & materials to meet the demand in the most productive way

Quiz 4: Source Analytics

Q1. What are the key performance indicators for sourcing and procurement?

• Delivery lead time
• Product quality
• Purchasing cost
• Flexibility in delivery

Q2. What is the objective of source analytics?

• Maximize the value and minimize the risk of supply
• To ensure consistent performance of suppliers
• To track where the money is spent and with whom

Week 4: Supply Chain Analytics Essentials

Quiz 1: Supply Chain Analytics Jobs

Q1. What is needed to prepare for a supply chain analytics job?

• Team leadership skills
• Real life examples and / or projects
• Data analytics skills
• Application of analytics to supply chains

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