Various analytic models support different planning stages, but the models are loosely integrated, and disconnected from engineering & R&D.
Goals and Objectives
The objectives are better allocation of resources and risk mitigation, better optimal sales and operations plans, and better next best action determination, at each stage of the product lifecycle.
Hardware: Servers, storage, smartphones, tablets, IoT
Software: CAD, PLM, ERP, SCM, SCP, Cognitive/AI, BDA/analytics, blockchain
Services: Business services, IT services
Use Case Summary
A closed-loop analytic model connects portfolio, scenario, value, and situational analysis upstream to engineering & R&D to drive supply chain performance and innovation. Automatically sense, analyze, and respond to demand, and understand supply chain capabilities & risk, quickly enabling more accurate, responsive engineering & R&D.