Tag: supply chain

Advanced Analytics | Analytics | Customer Intelligence | Internet of Things
Héctor Cobo 0
Anticipar y no reaccionar, las ventajas de una cadena de suministro efectiva

Sábado por la tarde. Un aficionado al futbol visita la tienda de conveniencia más cercana para comprar todo lo necesario para disfrutar el partido de su equipo favorito: botanas, comida, bebidas. Recorre los pasillos, pero no encuentra todo lo que quiere. Pregunta al dependiente; éste le responde que algunos de

Internet of Things | Machine Learning
Charlie Chase 0
Is quick response forecasting a reality or just another buzzword?

“Quick response forecasting (QRF) techniques are forecasting processes that can incorporate information quickly enough to act upon by agile supply chains” explained Dr. Larry Lapide, in a recent Journal of Business Forecasting column. The concept of QRF is based on updating demand forecasts to reflect real and rapid changes in demand, both

Advanced Analytics | Machine Learning
Charlie Chase 0
Is demand sensing and shaping a key component of your company’s digital supply chain transformation?

Depending on who you speak with you will get varying definitions and opinions regarding demand sensing and shaping from sensing short-range replenishment based on sales orders to manual blending of point-of-sales (POS) data and shipments.        Most companies think that they are sensing demand when in fact they are

Advanced Analytics | Analytics | Data Management | Machine Learning
Charlie Chase 0
At the end of the day, it’s all about analytics-driven forecasting

Analytics-driven forecasting means more than measuring trend and seasonality. It includes all categories of methods (e.g. exponential smoothing, dynamic regression, ARIMA, ARIMA(X), unobserved component models, and more), including artificial intelligence, but not necessarily deep learning algorithms. That said, deep learning algorithms like neural networks can also be used for demand forecasting,

Advanced Analytics | Analytics | Customer Intelligence
Scott Nalick 0
When everything is analytics, nothing is analytics...?

The widespread adoption of the term "analytics" reminds me of the evolution of the term "supply chain management." Initially the term focused on supply chain planning. It involved demand and supply balancing and the heuristics and optimization tools that came out of advanced planning and scheduling. Over time practically everything was included

Internet of Things
Charlie Chase 0
The Digital Revolution: Crossing the digital divide is changing the Supply Chain Landscape

The digital revolution has affected all aspects of business, including supply chains.  The Internet of Things (IoT), with its network of devices embedded with sensors is now connecting the consumer to the factory. Technologies such as RFID, GPS, event stream processing (ESP) and analytics are combining to help companies to transform their existing

Bob Davis 0
What do golf and supply chains have in common?

On a recent CBS Sunday Morning episode Dr. Phil McGraw of “Dr. Phil” fame was featured. During the segment he talked about shifting his focus from golf to tennis. To paraphrase, he said golf drove him crazy because he couldn’t bear down, run faster, sweat harder and be better. I

Bob Davis 0
What does a successful supply chain look like?

I had the opportunity to interview an award-winning, fast-moving, consumer packaged goods (CPG) company in the early 2000’s. They were recognized as one of the best supply chain companies in the United States by all of the major retailers and their CPG peers. Indeed, it seemed every time a new

Bob Davis 0
Follow the Inventory

When I visit with customers or potential clients, they often ask, "Where should I start in order to get a handle on my supply chain?" There is no clear and concise answer, but I usually say "Follow the inventory!" Inventory is a result of decisions made, not the cause. When you

Jack Hymanson 0
Getting demand in shape

For supply chain managers and analysts Getting Demand in Shape can mean collecting the most pertinent data to support specific business processes and activities. Identifying new or previously unused data sources can be especially important. My most recent article titled “Getting Demand in Shape” in the May / June issue of APICS magazine