How Data Analytics Can Solve the Challenges Faced by SC Leaders in Discrete Manufacturing

From consumer electronics to automotive manufacturing, most of the global economy’s largest industries rely on some form of discrete manufacturing. Manufacturers in these industries face several unique challenges:

  • Labor and material shortages halting production
  • Congested seaports stalling transportation of much needed materials and goods
  • Difficulty forecasting demand due to constant supply chain disruptions

“Supply chain analytics creates new insights that help improve supply chain decision making from the improvement of front-line operations to strategic choices, such as the selection of the right supply chain operating models.” – McKinsey & Company

Supply chain analytics can arm the supply chain leaders to meet various supply chain challenges, including:

  • Lack of real-time data visibility
  • Imbalance in product lines, creating asset underutilization
  • Inconsistent data on safety stock levels
  • Lack of collaboration between supply chain stakeholders

This report covers everything supply chain leaders would need to know about Data Analytics – from different types of supply chain analytics to requirements in a supply chain platform and more.

Read this eBook from TadaNow to see how data analytics can help with your supply chain challenges.

Get It Now!

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.