Where did the terms RCCP and MPS come from? Reading the recent blog “RCCP versus MPS – Can They Be Connected?” it struck me whether this question represents the current best in class or do they represent old terms as well as an old way of thinking that should not be the end goal of an organization any more when it comes to supply chain planning.
Community Intelligence synchronizes the use of technologies in a manner that is focused on closing gaps in critical decision-making processes in the ongoing journey of more intelligent supply chains to improve organizational performance.
Historically, most of the key planning and computational activities (models, time series, machine learning, and other analytics) that support extended supply chain management (SCM) are “deterministic models”.
Stop using traditional forecast accuracy metrics to measure forecast for sporadic demand patterns. Use this method instead.
Most of us have had some exposure to the “AI Awakening” wave that has emerged over the past few years. Of particular interest to Arkieva and its customers is how this “new technology” integrates with the ongoing journey of creating more intelligent supply chain decision-making process to improve organizational performance.
How to determine when to use a best-fit analysis and when to use prediction techniques for demand forecasting analysis.
Is demand management illusively complex? Here's a look at some best practices in demand management and characterization.
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.