A Demand-driven Supply Chain (DDSC) is defined as a supply chain management method focused on building supply chains in response to demand signals. The main force of DDSC is that it is driven by customer demand. In comparison with the traditional supply chain, DDSC uses the pull (Demand pull) technique. It gives the market opportunities to share more information and to collaborate with others in the supply chain.
Optimizing your supply chain involves looking at the entire process, and not just the initial solution. Here’s an example of how.
Use this example as a starting point to understand the different optimization methods, and when optimization is helpful in supply or central planning.
I work with clients that utilize our supply chain optimization software to maximize their resources. In my upcoming webinar “Should I Optimize My Supply Chain Planning?” I’ll dive deeper into the concepts of supply chain optimization and show examples of when it’s ideal to optimize and when it’s less ideal. In today’s blog post, I’d like to simplify this concept by looking at some basic equations and scenarios to explain how “solvers” or supply chain optimization algorithms work.
A digital supply chain is a supply chain network (DSN) that focuses on using digital systems or technology tools to reduce the need for disparate systems through connectivity; eliminating manual processes and leveraging the data that is available through these systems to enhance the entire supply chain network.
In a recent study, Gartner estimates that 50% of Supply Chain Planning Solutions are not fully utilized1. How can organizations ensure that they have the user adoption needed to attain the full benefits from their existing or new supply chain solution?
A manager once told me that if you add up all the supply chain cost savings projected by various supply chain improvement initiatives over the years, you would have enough money to buy the company five times over. No wonder management is skeptical of benefits offered by improved supply chain planning.
Improving Data Visibility with Descriptive Statistics: How to visualize the Product-Volume-Variability-Velocity Matrix
Using descriptive statistics, you can improve data visibility by creating a snapshot of your product volume, variability, and velocity. Here’s how.
If you are looking to improve your supply chain management systems in 2018, you most likely have asked the common question: How do I assess my current efficiency? This is a good starting point for anyone looking to add functionality or identify loopholes within current processes. There is no single perfect method that meets all needs and has no flaws. However, the good news is, supply chain assessments have proven to be very advantageous for many businesses.
A holiday Christmas story and adaptation of Dr. Seuss’ “How the Grinch Stole Christmas!” Every Manufacturer Down in Manufacturingville liked innovation a lot… Except for the Grinch, who worked north of Manufacturingville The Grinch hated innovation! The whole innovation Season! Now, please don’t ask why. No one quite knows the reason. It could be that