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How to Digitize, Optimize, and Automate Complex Automotive & Industrial Supply Chains
Given the global nature of today’s supply networks, multi-tier visibility, planning and execution has become very complex. The evidence is all around us in the news with semiconductor shortages, inability for supply chains to respond to V-shaped pandemic model, etc.

To manage today’s complexities, current systems are forcing functional groups to resolve problems with outdated processes and approaches. For example, purchasing organizations attempt to monitor capacity through score carding and risk management methods. Material planners scramble to ensure suppliers can deliver to eliminate shutdowns at any cost. Logistics organizations focus on getting parts from point A to B at lowest cost.

This leads to poor product mix, lower margins, higher buffer inventories, unnecessary premium freight, low productivity and sub-optimal optimization. All of these approaches have proven insufficient.

If you are an Automotive/Industrial OEM or Supplier who

• Lacks upstream visibility and control of material and capacity across a multi-tier supply base;
• Seeks to have continuous multi-tier supply/demand matching to offer the best mix and volumes;
• Wants to understand how multi-party, multi-tier integrated planning and execution model will resolve complex problems and exceptions for inbound supply

Joe will explain:

• How the limitations of traditional architectures generates complexity and risk;
• How a multi-party, multi-tier integrated planning and execution model simplifies and resolves complex problems and exceptions for inbound supply
• How to achieve continuous multi-tier supply/demand matching to offer the best mix and volumes

Sep 28, 2021 12:00 PM in Eastern Time (US and Canada)

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Speakers

Joe Bellini
EVP Product Management and Product Marketing @One Network Enterprises
Joe Bellini is Chief Operating Officer at One Network where he provides leadership in Finance and across various departments which focus on delivering network-based value across multiple industry segments and geographies. Joe holds a patent in Supply Chain Planning and is the co-author of the business strategy book, “The Real-Time Enterprise.” Joe holds degrees in Mechanical Engineering, Applied Mathematics and Statistics, is an alumnus of Harvard Business School, and is certified in Artificial Intelligence and Machine Learning from MIT Sloan.