Science Explorer Back to mapMap
Discussion
Topic · Industrial and Manufacturing Engineering

Scheduling and Optimization Algorithms

Scheduling and Optimization Algorithms is a research topic within Industrial and Manufacturing Engineering. Science Explorer counts 42k research works in it since 1950. 10.1% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on scheduling problems in manufacturing systems, particularly addressing issues such as setup times, batching, dynamic scheduling, energy efficiency, and multi-objective optimization. It explores various techniques including genetic algorithms, agent-based control, and hybrid optimization to improve scheduling efficiency and effectiveness in manufacturing processes.

  • Scheduling
  • Manufacturing
  • Flexible Job-shop
  • Genetic Algorithm
  • Agent-based Control
  • Energy-efficient
  • Hybrid Optimization
  • Flowshop Sequencing
  • Dynamic Scheduling
  • Multi-objective
Research works
42k
fractional, since 1950
In the world top 10%
4.2k
per year above
Top-10% rate
10.1%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+21%
the tick is no change
Largest producer
China
47% of the 10 largest, 2022-now
Scheduling and Optimization Algorithms

Which countries lead Scheduling and Optimization Algorithms research?

By volume, China and the United States publish the most (2.1k and 569 works in 2022-now).

By volume, 2022-now

  1. 1 China 2.1k works
  2. 2 United States 569 works
  3. 3 India 433 works
  4. 4 Germany 402 works
  5. 5 France 294 works
  6. 6 Indonesia 207 works
  7. 7 United Kingdom 148 works
  8. 8 Türkiye 141 works
  9. 9 Italy 136 works
  10. 10 Brazil 126 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: 46.5%United States: 12.4%India: 9.4%Germany: 8.8%6 others listed: 22.9%47%largest
China2,138 · 46.5%United States569 · 12.4%India433 · 9.4%Germany402 · 8.8%6 others listed1,052 · 22.9%

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

Which institutions lead Scheduling and Optimization Algorithms research?

By volume in 2022-now, Centre National de la Recherche Scientifique publishes the most Scheduling and Optimization Algorithms 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 89 works
  2. 2 Huazhong University of Science and TechnologyChina 78 works
  3. 3 Wuhan University of TechnologyChina 55 works
  4. 4 Northeastern UniversityChina 46 works
  5. 5 Tongji UniversityChina 38 works
  6. 6 Tsinghua UniversityChina 38 works
  7. 7 Liaocheng UniversityChina 36 works
  8. 8 Chinese Academy of SciencesChina 35 works
  9. 9 Shanghai Jiao Tong UniversityChina 35 works
  10. 10 Shanghai UniversityChina 35 works

Who are the leading researchers in Scheduling and Optimization Algorithms?

The most-cited researchers publishing on Scheduling and Optimization Algorithms include Xiaogang Wang, Herbert A. Simon and Kalyanmoy Deb.

  1. 1 Xiaogang Wang China 260k citations
  2. 2 Herbert A. Simon United States 179k citations
  3. 3 Kalyanmoy Deb United States 171k 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 Scheduling and Optimization Algorithms?

The most cited paper in Scheduling and Optimization Algorithms is "Scheduling Algorithms for Multiprogramming in a Hard-Real-Time Environment" (C. L. Liu, J. W. Layland, 1973), with 8,426 citations. Next come "Optimization and Approximation in Deterministic Sequencing and Scheduling: a Survey" (5,863) and "The Truck Dispatching Problem" (4,980).

Most cited papers
#PaperReleasedCitations
1 Scheduling Algorithms for Multiprogramming in a Hard-Real-Time Environment C. L. Liu, J. W. Layland · Journal of the ACM Open access 1973 8,426
2 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
3 The Truck Dispatching Problem George B. Dantzig, J. H. Ramser · Management Science Oct 1959 4,980
4 Industry 4.0 Heiner Lasi, Peter Fettke, Hans-Georg Kemper et al. · Business & Information Systems Engineering 19 Jun 2014 4,243
5 Optimal two‐ and three‐stage production schedules with setup times included S. M. Johnson · Naval Research Logistics Quarterly Mar 1954 3,269
All 99 most cited papers, with filters and sorting

Where is Scheduling and Optimization Algorithms research done?

The largest centres of Scheduling and Optimization Algorithms research in 2022-now are Beijing (China), Wuhan (China), Shanghai (China) and Nanjing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Liaocheng.

Largest cities, 2022-now

  1. 1 BeijingChina 294 works
  2. 2 WuhanChina 198 works
  3. 3 ShanghaiChina 194 works
  4. 4 NanjingChina 106 works
  5. 5 ShenyangChina 102 works
  6. 6 Xi'anChina 94 works
  7. 7 GuangzhouChina 73 works
  8. 8 ParisFrance 64 works
  9. 9 HangzhouChina 58 works
  10. 10 ChangshaChina 58 works

Where it is the local speciality

  1. LiaochengCN · 36.0 works27×
← less than its size predicts1×more →

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

See Scheduling and Optimization Algorithms on the map

Where is the best place to study Scheduling and Optimization Algorithms?

Among universities, judged by research, Huazhong University of Science and Technology, Liaocheng University and Macau University of Science and 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 33.5%fractional works in this field (log) →share of work in the world top 10% →China University of …Liaocheng UniversityHuazhong University …Macau 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 77.637.9%7.4×78 +96.5%
2Liaocheng UniversityChina 72.340.2%35.0×36 +172.3%
3Macau University of Science and TechnologyChina 72.135.2%17.0×21 +221.8%
4China University of GeosciencesChina 70.155.9%6.3×17 +827.0%
5Wuhan University of TechnologyChina 60.816.4%11.7×55 +69.6%
6Shenyang Aerospace UniversityChina 58.442.6%20.4×16 +97.4%
7Tsinghua UniversityChina 58.030.3%2.9×38 +23.5%
8Northeastern UniversityChina 57.820.1%8.9×46 +73.2%
9Wuhan University of Science and TechnologyChina 56.833.3%10.1×20 +33.6%
10Shanghai UniversityChina 55.823.1%8.3×35 +54.1%

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 Scheduling and Optimization Algorithms, country by country

Is Scheduling and Optimization Algorithms research growing?

Output in 2022-2025 was 21% higher than in 2018-2021, peaking in 2024. The fastest-growing topics are Scheduling and Optimization Algorithms.

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 Scheduling and Optimization Algorithms as a percentage of every work published that year, 0.036% in 2024.

still counting0.025%0.050%0.075%Scheduling and Optimization Algorithms0.032% in 202519801990200020102020

Fractional works of Scheduling and Optimization Algorithms 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%Scheduling and Optimization Algorithms9.9% 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.

Discussion

Ask a question or share a note about Scheduling and Optimization Algorithms. Posts are plain text and can be reported.