Science Explorer Interactive view Map

Manufacturing Process and Optimization

Manufacturing Process and Optimization is a research topic within Industrial and Manufacturing Engineering. Science Explorer counts 91k research works in it since 1950. 14.2% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the design, planning, and optimization of manufacturing processes, with an emphasis on design for manufacture and assembly. It covers topics such as assembly planning, disassembly sequencing, CAD/CAM integration, process planning, tolerance analysis, virtual prototyping, fixture design, product cost estimation, and collaborative manufacturing.

  • Design for Manufacture
  • Assembly Planning
  • Disassembly Sequencing
  • CAD/CAM Integration
  • Process Planning
  • Tolerance Analysis
  • Virtual Prototyping
  • Fixture Design
  • Product Cost Estimation
  • Collaborative Manufacturing
Research works
91k
fractional, since 1950
In the world top 10%
13k
per year above
Top-10% rate
14.2%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+13%
the tick is no change

Which countries lead Manufacturing Process and Optimization research?

By volume, China and the United States publish the most (3.5k and 1.9k works in 2022–2025).

By volume, 2022–2025

  1. 1 China 3.5k works
  2. 2 United States 1.9k works
  3. 3 Germany 1.5k works
  4. 4 India 1.1k works
  5. 5 Italy 519 works
  6. 6 United Kingdom 491 works
  7. 7 France 469 works
  8. 8 Indonesia 442 works
  9. 9 Russia 437 works
  10. 10 Japan 422 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

China: 32.8%United States: 17.8%Germany: 13.5%India: 10.0%6 others listed: 25.9%33%largest
China3,526 · 32.8%United States1,909 · 17.8%Germany1,454 · 13.5%India1,076 · 10.0%6 others listed2,779 · 25.9%

Shares of the rows listed above, not of the whole node.

Which institutions lead Manufacturing Process and Optimization research?

By volume in 2022–2025, RWTH Aachen University publishes the most Manufacturing Process and Optimization research, followed by Shanghai Jiao Tong University and Huazhong University of Science and Technology.

Who are the leading researchers in Manufacturing Process and Optimization?

The most-cited researchers publishing on Manufacturing Process and Optimization include George E. P. Box, Randy H. Katz and Wil M. P. van der Aalst.

  1. 1 George E. P. Box United States 10k citations
  2. 2 Randy H. Katz United States 5.7k citations
  3. 3 Wil M. P. van der Aalst Netherlands 5.5k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

Where is Manufacturing Process and Optimization research done?

The largest centres of Manufacturing Process and Optimization research in 2022–2025 are Beijing (China), Shanghai (China), Xi'an (China) and Wuhan (China). Among places with at least 20 works in it, it is an unusually large share of all research in Zhaotong.

Largest cities, 2022–2025

  1. 1 Beijing China 599 works
  2. 2 Shanghai China 320 works
  3. 3 Xi'an China 250 works
  4. 4 Wuhan China 234 works
  5. 5 Tokyo Japan 176 works
  6. 6 Nanjing China 173 works
  7. 7 Moscow Russia 156 works
  8. 8 Munich Germany 142 works
  9. 9 Hangzhou China 138 works
  10. 10 Aachen Germany 132 works

Where it is the local speciality

  1. ZhaotongCN · 20.8 works55×
← less than its size predictsmore →

Location quotient: how much more of its research is in Manufacturing Process and Optimization than the world average.

See Manufacturing Process and Optimization on the map

Where is the best place to study Manufacturing Process and Optimization?

Among universities, judged by research, University of Patras, University of Stuttgart and RWTH Aachen University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%20%40%mean 22.81%fractional works in this node (log) →share in the world top 10% →University of Patras: 39, 38.1%University of Stuttgart: 66, 11.6%RWTH Aachen University: 98, 14.3%Free University of Bozen-Bolzano: 13, 35.3%Singapore University of Technology and Design: 8, 29.5%Petroleum & Gas University of Ploieşti: 9, 36.3%Rzeszów University of Technology: 21, 12.6%Politecnico di Torino: 46, 25.2%Poznań University of Technology: 25, 14.1%Karlsruhe Institute of Technology: 76, 11.1%University of PatrasFree University of B…RWTH Aachen UniversityUniversity of Stuttg…
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 University of PatrasGreece 77.138.1%10.3×39 +50.0%
2 University of StuttgartGermany 61.511.6%12.0×66 +79.3%
3 RWTH Aachen UniversityGermany 60.814.3%8.9×98 +17.5%
4 Free University of Bozen-BolzanoItaly 60.835.3%8.1×13 +16.7%
5 Singapore University of Technology and DesignSingapore 60.629.5%5.7×8 +533.5%
6 Petroleum & Gas University of PloieştiRomania 60.236.3%22.6×9 +18.7%
7 Rzeszów University of TechnologyPoland 59.812.6%14.6×21 +212.3%
8 Politecnico di TorinoItaly 59.525.2%6.4×46 +48.6%
9 Poznań University of TechnologyPoland 58.014.1%10.8×25 +117.1%
10 Karlsruhe Institute of TechnologyGermany 57.811.1%9.3×76 +11.5%

Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.

Is Manufacturing Process and Optimization research growing?

Output in 2018–2022 was 13% higher than in 2013–2017, peaking in 2024. The fastest-growing topics are Manufacturing Process and Optimization.

19801990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.