LabCompass

S. S. Panwalkar

Engineering · Purdue University West Lafayette

OpenAlex
Established · publishing since 1973
Scheduling and Optimization AlgorithmsAdvanced Manufacturing and Logistics OptimizationAssembly Line Balancing OptimizationOptimization and Search ProblemsOptimization and Packing Problems

Publications

53

Citations

3,198

Est. group size

—

Recurring co-author estimate

Active years

52

Publishing since 1973

Research summary
AI-generated

S. S. Panwalkar's work focuses on scheduling theory, particularly a manufacturing setup called 'flow shop scheduling' where jobs pass through multiple machines in a fixed order. Much of the research examines special cases such as 'no-wait' flow shops (where a job cannot pause between machines) and 'proportionate' flow shops (where processing times scale similarly across machines), developing mathematical methods to minimize measures like completion time variation or total flow time. This research is theoretical, aimed at improving the algorithms and models used to plan efficient production and processing sequences.

Flow shop scheduling theoryNo-wait and proportionate scheduling modelsMinimizing job completion time variationScheduling algorithm design and optimality analysisProduction and manufacturing sequencing

Publication output has been low and irregular over the past decade, with small numbers of papers in most years, a gap from 2021 to 2023, and a slight uptick in 2024.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 0.4/year recently
2017: 2 publications2172018: 2 publications2182019: 2 publications2192020: 1 publication202122232024: 2 publications2242526
Recent publications
Publishes in
  • European Journal of Operational Research×3
  • International Journal of Production Research×2
  • Computers & Industrial Engineering×2
  • Journal of Scheduling×2
  • Journal of the Operational Research Society×1
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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