Manufacturing Process and Optimization
Manufacturing process optimization is the study of how products are designed, planned, and built in ways that reduce cost, time, and error across the full production lifecycle—from the earliest CAD model to the final assembled part. Decisions made during design, such as how components fit together, what tolerances are acceptable, and in what sequence parts can be assembled or taken apart for repair, ripple through every downstream stage of production. Integrating computational tools like CAM software and virtual prototyping allows engineers to simulate and refine these decisions before physical resources are committed, but doing so reliably across complex, multi-component systems remains an active challenge. Open questions include how to automate process planning for novel geometries, how to jointly optimize assembly and disassembly sequences for sustainable end-of-life recovery, and how collaborative manufacturing environments can share planning data without sacrificing consistency or intellectual property.
- Works
- 248,333
- Total citations
- 1,135,558
- Keywords
- Design for ManufactureAssembly PlanningDisassembly SequencingCAD/CAM IntegrationProcess PlanningTolerance Analysis
Top papers in Manufacturing Process and Optimization
Ordered by total citation count.
- Metal Additive Manufacturing: A Review↗ 5,865OA
- PRODUCT DESIGN AND DEVELOPMENT↗ 5,551
- Annual Book of ASTM Standards 2003↗ 5,342
- An Introduction to Efficiency and Productivity Analysis↗ 4,560
- Recovery of inter-block information when block sizes are unequal↗ 3,808
- A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code↗ 3,784
- Open Innovation: The New Imperative for Creating and Profiting from Technology↗ 3,646
- Quality Engineering Using Robust Design↗ 3,471
- The International Journal of Advanced Manufacturing Technology↗ 3,447
- Computer Aided Design of Experiments↗ 3,437
- Simulation and the Monte Carlo Method↗ 3,325
- Optimal two‐ and three‐stage production schedules with setup times included↗ 3,239
Active researchers
Top authors in this area, ranked by h-index.