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Supply Chain Predictive Analytics: Benefits, Use Cases and Growth Potentials

ThroughPut

Thanks to the more advanced forms of supply chain analytics like predictive analytics, supply chains are proactively looking into the future and prepping for “what is to come” rather than only ruminating over “what already happened.” What Is Predictive Analytics for Supply Chain?

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8 Examples of Kanban in Lean Manufacturing

Unleashed

Here we give you eight real-world examples of how businesses use Kanban, a popular lean tool that’s helped companies in a huge range of sectors improve efficiency – especially those in the manufacturing industry. If you already know what Kanban is and just want the case studies, scroll down! Table of Contents. What is Kanban?

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Prescriptive Analytics for Supply Chain Optimization: 6 Powerful Use Cases 

ThroughPut

If there’s any piece of technology or analytics that can help with the most advanced data-driven decision-making in the supply chain right now, that’s prescriptive analytics. It is the most promising form of analytics in the market currently. What Is Prescriptive Analytics in Supply Chain? How should the supplier perform?

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What Manufacturing Supply Chains Should Expect in 2021 

Vanguard Software

Throughout 2020, manufacturing supply chains took a hit because of constraints around the COVID-19 pandemic. Positive momentum indicates pent-up demand since the October and November 2020 Purchasing Managers Index (PMI) was higher than any time since 2018. MicroVention Case Study. Download Case Study.

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Strong Supply Chains Required For an Economic Rebound: Six Steps To Take

Supply Chain Shaman

My first focus was on China sourcing. No doubt about it, we are characters in a supply chain case study searching to define a new normal. Today, we find ourselves in the middle of a risk management case study. China was the source of over 90% of PPE.) Don’t expect demand to be predictable.

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Manufacturing Gains From Machine Learning

IQMS

Improving semiconductor manufacturing yields up to 30%, reducing scrap rates, and optimizing fab operations is achievable with machine learning. Manufacturers care most about finding new ways to grow, excel at product quality while still being able to take on short lead-time production runs from customers.

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3 Compelling Reasons to Start Using Prescriptive Analytics

AIMMS

If you’ve read up on the latest topics in the field of data analysis, then you’ve probably encountered the term Prescriptive Analytics. Prescriptive Analytics is a type of Advanced Analytics that results in a recommended action. Supply chain teams are curious about adopting Prescriptive Analytics and exploring the benefits.