How to digitize global, multi-party, multi-tier supply chains to improve material and capacity management with integrated planning, logistics and execution
To manage today’s complexities, current systems are forcing functional groups to resolve problems with outdated processes and approaches.
This leads to poor product mix, lower margins, higher buffer inventories, unnecessary premium freight, low productivity and sub-optimal optimization.
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; and
- Is tired of the same rinse and repeating of stale ideas to address these new challenges
This webinar is for you. Joe Bellini explains:
- 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
Who is this for?
This webinar is for Automotive and Industrial executives and supply chain practitioners who want to understand how supply chain management is being shaped by new technologies, and how a Digital Supply Chain Network™ is enabling companies to improve their financial performance, raise service levels, and reduce operating costs.
Joe Bellini is EVP Product Management and Marketing at One Network Enterprises. He provides leadership 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.