Arkieva Supply Chain Link Blog.
Creating the link between better supply chain planning and decisions.
RECENT POSTS
4 Things to Know When Building a Demand-driven Supply Chain Management Process
A demand-driven supply chain management process, no matter the industry, is built based on some fundamental principles. These principles are applied taking into consideration the requirements of the particular industry or company involved.
Which Statistical Forecasting Methods Should I Use?
Here are some guidelines on selecting the right statistical forecasting methods for your business.
Phase-In / Phase-Out Planning: Another Descriptive Statistic for managing inventory
Make your obsolete inventory more visible with these simple phase-in phase-out planning techniques.
What is a Demand-driven Supply Chain?
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.
Tips for Optimizing Your Entire Supply Chain Planning Process
Optimizing your supply chain involves looking at the entire process, and not just the initial solution. Here’s an example of how.
What is Statistical Forecasting? A Snowfall-based Explanation
During the last storm, I was watching the snow plows go to work and thinking about the amount of planning that must go into the resources needed to deal with the snow - what with salt, and plows needed. That must be a whole supply chain.
An Example of When Optimization Is Helpful in Supply or Central Planning
Use this example as a starting point to understand the different optimization methods, and when optimization is helpful in supply or central planning.
Do Returns Impact My Forecast Error Calculation Negatively?
Should you factor returns in your forecast error calculation? In this article, we’ll use a sample data set, to demonstrate if you should consider returns when calculating your forecast errors.
Two Simple Examples to Help You Understand How Supply Chain Optimization Algorithms Work.
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.
