The manufacturing and distribution environments are becoming more complex every day. Where 20 years ago it was enough for an aerospace manufacturer to build aircraft that flew efficiently, the same factory is now being asked to accommodate different seat arrangements; a wide variety of cabin interior options; and myriad different colors, media devices, and other fine details. “The number of options has proliferated and added a lot of complexity to the supply chain,” says Richard Lebovitz, LeanDNA’s CEO, “across nearly all manufacturing verticals.”
In a recent Supply Chain Management Review study exploring the information and analytics needs of supply chain professionals, it was immediately clear that a new horizon is in view for supply chain professionals around the world. Leaders see the need for better tools—tools that do more than just provide data about where they’ve been. One of the most compelling research findings addresses the obstacles leaders face when implementing new supply chain analytics tools into their systems. Here’s a look at the breakdown of responses.
In a new special edition white paper, the Supply Chain Management Review shows how LeanDNA drives supply chain efficiency by moving manufacturing teams from slow, manual spreadsheet analytics processes into a high-speed, cloud-based platform that is purpose-built to tie together shortage reduction, supplier management, lean principles, and more.
Artificial intelligence, machine learning, Internet of Things, algorithms, cloud-based software—these buzzwords are commonly heard in the industry, but what do these technologies really mean for supply chains? How will advances in supply chain software affect the future for leaders?
In a new special edition white paper, Zodiac Aerospace reveals how they used LeanDNA’s collaborative analytics platform to get rid of slow, manual spreadsheet processes and save millions of dollars through better-informed decisions and automated prescriptive analytics.
One of the balancing acts for manufacturers and supply chain leaders is having the right inventory levels. But it’s often difficult to identify ways to reduce inventory without sacrificing on-time delivery performance. LeanDNA is featured in this article in Modern Materials Handling, which highlights how our Factory Analytics solution:
- Provides advanced, collaborative analytics focused on inventory, rather than traditional MRP or factory planning tools
- Performs analysis and sizing parameters automatically
- Recommends action opportunities for increased profitability
- Standardizes best practices across the organization
- Improves on-time delivery performance into the 90th percentile or above
It has taken decades for supply chains to adopt analytics at a large scale. For many years, supply chain leaders relied on instinct and experience to make critical inventory decisions. But over the years, as capabilities have grown more powerful and impactful, leaders have seen how much business value can be delivered by implementing advanced analytics.
This infographic traces the evolution of supply chain analytics—from the 1950s when the first large-scale business analytics program was initiated in the U.S., through the present day and into the future as business leaders seek to bring their data and people together in a collaborative analytics platform.
¡Hola! Each day, LeanDNA sets out to delight customers and transform supply chains around the world through collaborative analytics. To support our global users, we’re always making improvements and additions to the tool. Today, we are pleased to announce that LeanDNA now offers Spanish language support!
As part of a company-wide initiative to reduce working capital and inventory costs, your leadership has just asked you to analyze your supply base and determine the top 10 suppliers requiring improvement. You need an action plan and KPIs to measure performance improvements for those suppliers—and fast. Your supplier development team is struggling to come up with streamlined ways to track supplier performance, understand the root cause of performance issues, and actually drive improvements. Now it’s time to scramble as a team to develop and implement an improvement strategy. But where do you start? You need the right supplier performance management tools to achieve these objectives.
By some estimates, procurement costs make up 60-80% of production costs for many manufacturers. Suppliers not only contribute to product innovation, they also help manufacturers achieve more effective production processes. Given the high dollar value associated with procurement, it comes as no surprise that supply chain teams are eager to learn how to improve supplier performance to deliver millions in savings for their organizations.