A holistic, integrated approach to predictive maintenance incorporates data, systems, and human expertise from various functions including engineering, manufacturing, field service, logistics, supply chain, HR, finance, and maintenance.
Reports and White papers – complementary
Gratis reports and white papers
Uses of AI and Machine Learning in pricing, promotions, demand planning and forecasting, and inventory management.
We discuss an approach to evaluating potential Agile Demand-Supply Alignment solutions, including discovering, shortlisting, and selection processes.
Findings from our research on Agile Demand-Supply Alignment (ADSA), the capability to effectively realign supply and demand, during execution, in the face of demand volatility and supply disruptions.
Part Two of our Agile Demand-Supply Alignment series–how to evaluate ADSA solutions, what questions to ask solution providers, and how to shortlist providers.
Yes, the Covid-19 pandemic is having colossal impact on our economy and our lives. But looking beyond the pandemic, the planet, society and supply chains are facing challenges as big or not bigger in this new decade. These are dilemmas that will—and are—confronting the heart of our values and responsibilities as supply chain professionals and the organizations we support.
This article examines what are the forces that have created these dilemmas and what can we do about them going forward.
This report lays out a framework for understanding the elements of ADSA (Agile Demand-Supply Alignment) throughout the phases of supply chain planning and execution.
This landmark report describes how procurement can be a catalyst for change, creating true inclusion by strengthening relationships with small and minority suppliers.
This report goes into the depths of how to achieve exceptional and profitable home delivery using continuous optimization.
If we are going to invest in AI and Machine Learning technology with the goal to improve our Supply Chain performance, we must have a working knowledge of just what AI/ML is.
The media is filled with stories about AI. But there is scant information related to AI for the Supply Chain. Looking for some clarity? There are plenty of obtuse definitions on the web, but almost none of them tell you what AI does for Supply Chain. These definitions will.
In this final segment of our Supply Chain Networks report series, we focus on the technology underpinnings of these networks (‘How They Work’) and describe the differences between the two types of supply chain application networks in the market. Understanding these differences is essential when evaluating technology, to make good choices about which is best for your needs.