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Advanced Manufacturing and Logistics Optimization

Advanced Manufacturing and Logistics Optimization is a research topic within Industrial and Manufacturing Engineering. Science Explorer counts 49k research works in it since 1950. 17.2% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the design and control of warehouse operations, including topics such as order picking, facility layout, automated guided vehicles, cellular manufacturing systems, dynamic facility layout, material handling systems, storage assignment, robotic fulfillment systems, and e-commerce warehousing.

  • Warehouse Design
  • Order Picking
  • Facility Layout
  • Automated Guided Vehicles
  • Cellular Manufacturing Systems
  • Dynamic Facility Layout
  • Material Handling Systems
  • Storage Assignment
  • Robotic Fulfillment Systems
  • E-commerce Warehousing
Research works
49k
fractional, since 1950
In the world top 10%
8.4k
per year above
Top-10% rate
17.2%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+24%
the tick is no change

Which countries lead Advanced Manufacturing and Logistics Optimization research?

By volume, China and Indonesia publish the most (3.5k and 1.2k works in 2022–2025).

By volume, 2022–2025

  1. 1 China 3.5k works
  2. 2 Indonesia 1.2k works
  3. 3 India 835 works
  4. 4 United States 701 works
  5. 5 Germany 452 works
  6. 6 Japan 286 works
  7. 7 Türkiye 284 works
  8. 8 France 275 works
  9. 9 Italy 262 works
  10. 10 Russia 209 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: 44.3%Indonesia: 14.5%India: 10.4%United States: 8.8%6 others listed: 22.1%44%largest
China3,543 · 44.3%Indonesia1,158 · 14.5%India835 · 10.4%United States701 · 8.8%6 others listed1,767 · 22.1%

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

Which institutions lead Advanced Manufacturing and Logistics Optimization research?

By volume in 2022–2025, Wuhan University of Technology publishes the most Advanced Manufacturing and Logistics Optimization research, followed by Huazhong University of Science and Technology and Shanghai University.

Who are the leading researchers in Advanced Manufacturing and Logistics Optimization?

The most-cited researchers publishing on Advanced Manufacturing and Logistics Optimization include MengChu Zhou and Xin Yao.

  1. 1 MengChu Zhou United States 4.4k citations
  2. 2 Xin Yao United Kingdom 3.5k citations

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

Where is Advanced Manufacturing and Logistics Optimization research done?

The largest centres of Advanced Manufacturing and Logistics Optimization research in 2022–2025 are Beijing (China), Shanghai (China), Wuhan (China) and Jakarta (Indonesia). Among places with at least 20 works in it, it is an unusually large share of all research in Jinrongjie, Liaocheng and Gresik.

Largest cities, 2022–2025

  1. 1 Beijing China 530 works
  2. 2 Shanghai China 313 works
  3. 3 Wuhan China 282 works
  4. 4 Jakarta Indonesia 179 works
  5. 5 Nanjing China 159 works
  6. 6 Xi'an China 152 works
  7. 7 Surabaya Indonesia 137 works
  8. 8 Bandung Indonesia 130 works
  9. 9 Guangzhou China 116 works
  10. 10 Shenyang China 115 works

Where it is the local speciality

  1. JinrongjieCN · 24.9 works26×
  2. LiaochengCN · 34.5 works15×
  3. GresikID · 26.3 works10×
← less than its size predictsmore →

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

See Advanced Manufacturing and Logistics Optimization on the map

Where is the best place to study Advanced Manufacturing and Logistics Optimization?

Among universities, judged by research, Macau University of Science and Technology, Liaocheng University and Wuhan University of Technology 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%60%mean 27.22%fractional works in this node (log) →share in the world top 10% →Macau University of Science and Technology: 22, 39.7%Liaocheng University: 34, 47.9%Wuhan University of Technology: 89, 19.5%Shanghai Maritime University: 48, 22.9%Shanghai University: 55, 24.1%Wuhan University of Science and Technology: 29, 28.4%Ho Chi Minh City University of Technology: 20, 7.1%Yaşar University: 14, 7.5%Huazhong University of Science and Technology: 77, 39.6%Shenyang Aerospace University: 18, 35.5%Liaocheng UniversityMacau University of …Shanghai Maritime Un…Wuhan University of …
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 Macau University of Science and TechnologyMacau 66.239.7%9.0×22 +54.1%
2 Liaocheng UniversityChina 62.347.9%17.3×34 -71.1%
3 Wuhan University of TechnologyChina 57.119.5%9.9×89 -34.1%
4 Shanghai Maritime UniversityChina 52.822.9%17.3×48 -60.2%
5 Shanghai UniversityChina 52.324.1%6.8×55 +44.5%
6 Wuhan University of Science and TechnologyChina 51.728.4%7.8×29 +54.1%
7 Ho Chi Minh City University of TechnologyVietnam 51.47.1%14.9×20 +152.8%
8 Yaşar UniversityTürkiye 50.97.5%33.5×14 +200.9%
9 Huazhong University of Science and TechnologyChina 50.839.6%4.3×77 -44.3%
10 Shenyang Aerospace UniversityChina 50.135.5%11.6×18 -52.2%

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 Advanced Manufacturing and Logistics Optimization research growing?

Output in 2018–2022 was 24% higher than in 2013–2017, peaking in 2024. The fastest-growing topics are Advanced Manufacturing and Logistics 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.