What is he best known for?
The fields of study he is best known for:
- Operating system
- Artificial intelligence
- Algorithm
His scientific interests lie mostly in Mathematical optimization, Job shop scheduling, Scheduling, Tardiness and Production planning.
The Heuristics and Variable neighborhood search research he does as part of his general Mathematical optimization study is frequently linked to other disciplines of science, such as Set, therefore creating a link between diverse domains of science.
His work in Job shop scheduling addresses subjects such as Heuristic, which are connected to disciplines such as Artificial neural network.
The study incorporates disciplines such as Test data and Job shop in addition to Tardiness.
His work carried out in the field of Production planning brings together such families of science as Supply chain management and Manufacturing engineering.
Lars Mönch has researched Flow shop scheduling in several fields, including Scheduling and Two-level scheduling, Fair-share scheduling.
His most cited work include:
- A survey of problems, solution techniques, and future challenges in scheduling semiconductor manufacturing operations (226 citations)
- Heuristic scheduling of jobs on parallel batch machines with incompatible job families and unequal ready times (162 citations)
- Genetic algorithm based scheduling of parallel batch machines with incompatible job families to minimize total weighted tardiness (122 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Mathematical optimization, Job shop scheduling, Tardiness, Semiconductor device fabrication and Scheduling.
His Job shop scheduling research is multidisciplinary, incorporating elements of Scheduling and Fair-share scheduling.
His Tardiness research includes elements of Batch processing and Job scheduler.
His Semiconductor device fabrication study deals with Wafer fabrication intersecting with Semiconductor wafer fabrication.
His Scheduling study frequently involves adjacent topics like Algorithm.
Lars Mönch has researched Manufacturing engineering in several fields, including Supply chain management and Production control.
He most often published in these fields:
- Mathematical optimization (32.83%)
- Job shop scheduling (21.72%)
- Tardiness (18.69%)
What were the highlights of his more recent work (between 2015-2021)?
- Mathematical optimization (32.83%)
- Supply chain (10.61%)
- Production planning (14.65%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Mathematical optimization, Supply chain, Production planning, Heuristics and Job shop scheduling.
His study in Mathematical optimization is interdisciplinary in nature, drawing from both Scheduling and Tardiness.
The concepts of his Supply chain study are interwoven with issues in Capacity planning and Industrial engineering.
His Production planning research is multidisciplinary, incorporating perspectives in Rolling horizon and Manufacturing engineering.
His work deals with themes such as Genetic algorithm, Benchmark, Heuristic and Evolution strategy, which intersect with Heuristics.
His Project scheduling problem study, which is part of a larger body of work in Job shop scheduling, is frequently linked to Element, bridging the gap between disciplines.
Between 2015 and 2021, his most popular works were:
- Modeling Cycle Times in Production Planning Models for Wafer Fabrication (31 citations)
- A survey of semiconductor supply chain models part I: semiconductor supply chains, strategic network design, and supply chain simulation (30 citations)
- Heuristic approaches for scheduling jobs in large-scale flexible job shops (30 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Artificial intelligence
- Mathematical optimization
His primary scientific interests are in Mathematical optimization, Production planning, Heuristics, Variable neighborhood search and Tardiness.
His Mathematical optimization study integrates concerns from other disciplines, such as Routing and Scheduling.
His Scheduling research incorporates elements of Local optimum, Genetic algorithm and Heuristic.
His studies in Production planning integrate themes in fields like Supply chain, Supply chain management, Manufacturing engineering and Integer.
The Heuristics study combines topics in areas such as Tabu search, Vehicle routing problem, Benchmark and Evolution strategy.
Tardiness is a subfield of Job shop scheduling that he studies.
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