Supply Chain 2030… Technology That Will Rock Global Supply Chain Effectiveness
Supply chains in 2030 will, in design be much like they are today. Globalization will still be a major driver, as will design criteria of cloud-based resource information and management systems. Logistics systems will also likely remain much the same, at least in terms of design. These similarities, while providing comfort to supply chain professionals, are where similarities will end.
Tools and mechanisms that professional use to manage global supply chains will be dramatically different. Technology advances will change how professionals interact with their complex supply chains, how they manage and optimize them and how they transfer value to customers. Leading the way will be tangible, useful and available tools borne from the convergence of advancements in THREE enabling technology groups, including:
- The convergence of enabling big data analytics with artificial intelligence (AI) and machine learning (ML).
- The convergence of enabling blockchain ledgers with ERP, CRM, MES, WMS and S&OP systems, through all echelons of end-to-end global supply chains.
- The convergence of augmented and virtual reality enabling technologies in user interfaces.
Imagine a world where you can not only see graphic representations of where your inbound supply is, but also when the supplier’s supplier will ship product to your supplier. Image a world where predictive analytics will allow you to predict a 3rd tier supplier’s impact on end-item manufacturing and customer delivery reliability. Image a future where possibilities can be recast into known probabilities.
This program addresses how supply chain professionals should prepare themselves for the coming advanced technology toolsets that will grow from the enabling technologies. Though there will be many technologies developed in the coming decade, we can predict with a reasonable amount of certainty, the following:
- From the Convergence of Enabling Big Data Analytics With Artificial Intelligence (AI) & Machine Learning (ML):
- Forecasting tools that include simple-to-use scenario planning that can simulate different impacts on economic and customer satisfaction variables.
- End-to-End availability, cost, quality and supplier qualification simulations, including OEE improvement probability simulations.
- Advancement of bots making basic decisions, and provisioning basic communications across all supply chain participants.
- Dynamic network optimization tools that learn rules and apply them dynamically.
- Predictive product and process quality management tools.
- From the Convergence of Enabling Blockchain Ledgers With ERP, CRM, MES, WMS And S&OP Systems Through All Echelons of End-To-End Global Supply Chains:
- Visibility systems that allow views into top-to-bottom (TTP) supply chain contributors.
- End-to-end transparency tools that take the guess work out of delivery reliability.
- Holistic supply chain metrics that measure end-to-end performance.
- Routinization of certain planning activities that meet a “supply chain autopilot” standard.
- Advanced communication tools linking customer people with supplier people with supplier people with…?
- Advancements of simplicity into systems design.
- Advancement in process IP protections.
- From the Convergence of Augmented & Virtual Reality Enabling Technologies In User Interfaces:
- Ability to explore using inclusive toolsets, probabilities of events impacting supply chain, from storms on transportation to tier 4 shortages on tier 1 suppliers.
- PP&E maintenance systems using predictability tools in an augmented reality toolset.
- Maintenance documentation as a service (MDAAS) tools.
Mr. Dunn will also address the 1.8+ million supply chain professional shortage that is predicted to exist by 2030. He will address how to advance one’s career, by learning these new enabling technologies, and developing your teams to do the same.
Technical, organizational, cultural, and behavioral impediments to implementing future supply chain tools, will also be addressed, so that participants can return to their respective companies, and begin to prepare.
Alan will use multiple graphics and case studies, along with actual examples of these new tools, so that it is not an overly technical presentation that you will love! Also, there will be multiple handouts to give you (virtually), for even more fascinating information.