Though the challenges that emerged in 2020 are far from over, 2021 is nevertheless a year of tremendous opportunities—for companies, whole industries, individuals, supply chains, and governments. Here we lay out some of these historic opportunities of the current moment—chances to seize the moment and make some dramatic changes that would not be possible in normal times.
Service Supply Chain
Supply chain to provide service, repair, maintenance, and implementation, including spare parts supply chain, repair equipment supply chain, technician/resource management, etc.
Taking the longer view, companies can select a GIS platform that can serve as an enterprise-wide platform for many different applications. Here we discuss the characteristics to look for when selecting a platform.
Predictive maintenance can play a key role in a business’s transformation to servitization and an outcome-based business model.
There are specific capabilities that help companies excel at demand-supply alignment. Here we look at some examples such as In-Season Re-ordering, Agile Compliance with Customer Mandates, Channel and Market Flexibility, and Leadtime Reduction.
Predictive maintenance can be highly valuable for asset-owning organizations to reduce downtime and maintenance costs. This includes large complex systems used in extractive industries (e.g. mining systems, oil platforms), manufacturing plants, warehouses, transportation fleets, and facilities.
Geospatial data and intelligence often plays a critical role in achieving responsible supply chain stewardship, such as sustainable sourcing, fair trade, sustainable forestry, avoiding conflict minerals, and so forth.
Here we present a framework of the elements of ADSA: entailing how a company becomes aware of supply disruptions or demand volatility, how they gain an understanding of the current situation, prioritize and decide on a set of actions, execute those actions, and monitor progress.
Predictive maintenance works best within a holistic, integrated approach—i.e. bringing together and integrating data, systems, and human expertise from engineering, manufacturing, field service, logistics, supply chain, HR, finance … and of course maintenance.
The capability to effectively realign supply and demand, during execution, in the face of demand volatility and supply disruptions, has become critical for survival and success. The global pandemic has simply put a giant exclamation point on the uncertainty that retailers, distributors, and manufacturers have always had to contend with.”
Some thoughts on the difference between ordinary demand planning and AI/ML-enabled demand understanding.
The improvement of maintenance processes is a continual journey. In this first in a series, we provide a maturity model and framework for progressing on that journey, from reactive maintenance to preventative, condition-based, predictive, prescriptive, and ultimately autonomous maintenance.