Optimization is usually done in the engineering stage prior to first production, not necessarily across the entire production process.
Goals and Objectives
Material costs decrease and attainment of sustainability goals (less waste) are on track.
Hardware: Servers, storage, 3D printers, and robotics
Software: 3D printing, Big Data/analytics, cognitive/AI, machine learning, cloud, mobile, ERP, and MES
Services: IT services and connectivity services
Use Case Summary
Incorporating 3D printing as an additive process and more intelligent machine tools (robots) supports continuous material optimization.