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Topic · Industrial and Manufacturing Engineering

Assembly Line Balancing Optimization

Assembly Line Balancing Optimization is a research topic within Industrial and Manufacturing Engineering. Science Explorer counts 14k research works in it since 1952. 10.3% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the optimization of assembly line balancing problems, including the use of heuristic procedures, genetic algorithms, and ant colony optimization for mixed-model sequencing and stochastic scenarios. It also addresses the application of these methods in robotic assembly lines and the consideration of multi-objective optimization in the context of just-in-time production.

  • Assembly Line Balancing
  • Optimization Methods
  • Heuristic Procedures
  • Mixed-Model Sequencing
  • Genetic Algorithms
  • Ant Colony Optimization
  • Stochastic Assembly Line Balancing
  • Robotic Assembly Lines
  • Multi-Objective Optimization
  • Just-in-Time Production
Research works
14k
fractional, since 1952
In the world top 10%
1.4k
per year above
Top-10% rate
10.3%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+13%
the tick is no change
Largest producer
China
42% of the 10 largest, 2022-now
Assembly Line Balancing Optimization

Which countries lead Assembly Line Balancing Optimization research?

By volume, China and Germany publish the most (736 and 209 works in 2022-now).

By volume, 2022-now

  1. 1 China 736 works
  2. 2 Germany 209 works
  3. 3 United States 150 works
  4. 4 France 137 works
  5. 5 India 123 works
  6. 6 Türkiye 115 works
  7. 7 Indonesia 85 works
  8. 8 Italy 79 works
  9. 9 Brazil 66 works
  10. 10 Japan 53 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: 42.0%Germany: 11.9%United States: 8.6%France: 7.8%6 others listed: 29.7%42%largest
China736 · 42.0%Germany209 · 11.9%United States150 · 8.6%France137 · 7.8%6 others listed521 · 29.7%

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

Which institutions lead Assembly Line Balancing Optimization research?

By volume in 2022-now, Centre National de la Recherche Scientifique publishes the most Assembly Line Balancing Optimization research, followed by Huazhong University of Science and Technology and Wuhan University of Technology.

By volume, 2022-now

  1. 1 Centre National de la Recherche ScientifiqueFrance 46 works
  2. 2 Huazhong University of Science and TechnologyChina 28 works
  3. 3 Wuhan University of TechnologyChina 23 works
  4. 4 Fraunhofer-GesellschaftGermany 21 works
  5. 5 Tongji UniversityChina 19 works
  6. 6 Shanghai Jiao Tong UniversityChina 18 works
  7. 7 Liaocheng UniversityChina 17 works
  8. 8 Shanghai UniversityChina 15 works
  9. 9 Beijing Institute of TechnologyChina 13 works
  10. 10 Chinese Academy of SciencesChina 13 works

Who are the leading researchers in Assembly Line Balancing Optimization?

The most-cited researchers publishing on Assembly Line Balancing Optimization include Kalyanmoy Deb, Yiling Lu and Lei Zhang.

  1. 1 Kalyanmoy Deb United States 171k citations
  2. 2 Yiling Lu United States 143k citations
  3. 3 Lei Zhang China 112k citations

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

What are the most cited papers in Assembly Line Balancing Optimization?

The most cited paper in Assembly Line Balancing Optimization is "Optimization and Approximation in Deterministic Sequencing and Scheduling: a Survey" (Ronald Graham, Eugene L. Lawler, Jan Karel Lenstra et al., 1979), with 5,863 citations. Next come "A heuristic algorithm for the m-machine, n-job flow-shop sequencing problem" (2,537) and "Benchmarks for basic scheduling problems" (2,484).

Most cited papers
#PaperReleasedCitations
1 Optimization and Approximation in Deterministic Sequencing and Scheduling: a Survey Ronald Graham, Eugene L. Lawler, Jan Karel Lenstra et al. · Annals of discrete mathematics Book chapterOpen access 1979 5,863
2 A heuristic algorithm for the m-machine, n-job flow-shop sequencing problem Muhammad Nawaz, E. Emory Enscore, Inyong Ham · Omega 1983 2,537
3 Benchmarks for basic scheduling problems Éric D. Taillard · European Journal of Operational Research 1993 2,484
4 Complexity of Machine Scheduling Problems Jan Karel Lenstra, A. H. G. Rinnooy Kan, Peter Brucker · Annals of discrete mathematics Book chapterOpen access 1977 2,204
5 Scheduling subject to resource constraints: classification and complexity Jacek Błażewicz, Jan Karel Lenstra, A. H. G. Rinnooy Kan · Discrete Applied Mathematics Open access 1983 1,430
All 100 most cited papers, with filters and sorting

Where is Assembly Line Balancing Optimization research done?

The largest centres of Assembly Line Balancing Optimization research in 2022-now are Beijing (China), Wuhan (China), Shanghai (China) and Nanjing (China).

Largest cities, 2022-now

  1. 1 BeijingChina 96 works
  2. 2 WuhanChina 80 works
  3. 3 ShanghaiChina 79 works
  4. 4 NanjingChina 37 works
  5. 5 Xi'anChina 35 works
  6. 6 ShenyangChina 28 works
  7. 7 GuangzhouChina 25 works
  8. 8 ChengduChina 25 works
  9. 9 ParisFrance 24 works
  10. 10 LimaPeru 22 works
See Assembly Line Balancing Optimization on the map

Where is the best place to study Assembly Line Balancing Optimization?

Among universities, judged by research, Huazhong 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 30.73%fractional works in this field (log) →share of work in the world top 10% →Huazhong University …Liaocheng UniversityShanghai UniversityWuhan University of …
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1Huazhong University of Science and TechnologyChina 88.950.4%7.1×28 +61.6%
2Liaocheng UniversityChina 77.938.1%43.2×17 +248.2%
3Wuhan University of TechnologyChina 65.018.9%12.8×23 +60.7%
4Shanghai UniversityChina 58.029.2%9.2×15 +56.7%
5Wuhan University of Science and TechnologyChina 58.024.9%17.8×13 +34.4%
6Tsinghua UniversityChina 53.941.7%2.3×12 +20.5%
7Southwest Jiaotong UniversityChina 51.930.1%7.1×12 +106.2%
8Northeastern UniversityChina 48.930.7%6.1×12 +36.6%
9Shanghai Jiao Tong UniversityChina 48.619.7%2.8×18 +22.5%
10Nanjing University of Aeronautics and AstronauticsChina 46.023.6%5.6×11 +107.0%

Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in Assembly Line Balancing Optimization, country by country

Is Assembly Line Balancing Optimization research growing?

Output in 2022-2025 was 13% higher than in 2018-2021, peaking in 2024. The fastest-growing topics are Assembly Line Balancing Optimization.

still counting19801990200020102020
grewheldshrank

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

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Assembly Line Balancing Optimization as a percentage of every work published that year, 0.013% in 2024.

still counting0.010%0.020%Assembly Line Balancing Optimization0.011% in 202519801990200020102020

Fractional works of Assembly Line Balancing Optimization over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Assembly Line Balancing Optimization10.5% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

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.

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