World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
6048
World Ranking
8932
National Ranking
443

Overview

Lars Mönch is affiliated with the University of Hagen in Germany and specializes in Engineering, with a primary focus on Industrial and Manufacturing Engineering. Their research encompasses several subfields, including Management Information Systems, Control and Systems Engineering, Management Science and Operations Research, and Artificial Intelligence.

The scientist's work covers a range of main topics related to optimization and manufacturing processes. These include:

  • Scheduling and Optimization Algorithms
  • Advanced Manufacturing and Logistics Optimization
  • Optimization and Packing Problems
  • Supply Chain and Inventory Management
  • Assembly Line Balancing Optimization
  • Industrial Vision Systems and Defect Detection
  • Manufacturing Process and Optimization

Among their recent publications are:

  • A survey of scheduling with parallel batch (p-batch) processing, 2021, European Journal of Operational Research
  • SMT2020-A Semiconductor Manufacturing Testbed, 2020, IEEE Transactions on Semiconductor Manufacturing
  • Unrelated parallel machine scheduling with eligibility constraints and delivery times to minimize total weighted tardiness, 2022, Computers & Operations Research
  • Bi-criteria parallel batch machine scheduling to minimize total weighted tardiness and electricity cost, 2020, Journal of Business Economics
  • A variable neighborhood search approach to solve the order batching problem with heterogeneous pick devices, 2022, European Journal of Operational Research

Frequent co-authors collaborating with Lars Mönch include:

  • John Fowler
  • Jens Rocholl
  • Raphael Herding
  • Hans Ehm
  • Denny Kopp

Regarding publication venues, Lars Mönch has contributed extensively to several journals and conferences, including:

  • IEEE Transactions on Semiconductor Manufacturing
  • 2021 Winter Simulation Conference (WSC)
  • 2022 Winter Simulation Conference (WSC)
  • Computers & Operations Research
  • European Journal of Operational Research

Through this body of work, the scientist primarily addresses problems related to scheduling, manufacturing optimization, and logistics, supporting both theoretical and applied advancements in industrial engineering and operations research.

Best Publications

  • A survey of problems, solution techniques, and future challenges in scheduling semiconductor manufacturing operations

    Lars Mönch;John W. Fowler;Stéphane Dauzère-Pérès;Scott J. Mason

  • Heuristic scheduling of jobs on parallel batch machines with incompatible job families and unequal ready times

    Lars Mönch;Hari Balasubramanian;John W. Fowler;Michele E. Pfund

  • Production Planning and Control for Semiconductor Wafer Fabrication Facilities: Modeling, Analysis, and Systems

    John W. Fowler;Scott J. Mason;Lars Mönch

  • Genetic algorithm based scheduling of parallel batch machines with incompatible job families to minimize total weighted tardiness

    Hari Balasubramanian;Lars Mönch;John W. Fowler;Michele E. Pfund

  • Production Planning and Control for Semiconductor Wafer Fabrication Facilities

    Lars Mönch;John W. Fowler;Scott J. Mason

  • A survey of scheduling with parallel batch (p-batch) processing

    John W. Fowler;Lars Mönch

  • A survey of semiconductor supply chain models part I: semiconductor supply chains, strategic network design, and supply chain simulation

    Lars Mönch;Reha Uzsoy;John W. Fowler

  • Genetic algorithm-based subproblem solution procedures for a modified shifting bottleneck heuristic for complex job shops

    Lars Mönch;Rene Schabacker;Detlef Pabst;John W. Fowler

  • A distributed shifting bottleneck heuristic for complex job shops

    Lars Mönch;René Drieíel

  • Variable neighborhood search approaches for scheduling jobs on parallel machines with sequence-dependent setup times, precedence constraints, and ready times

    Rene Driessel;Lars Mönch

  • Machine learning techniques for scheduling jobs with incompatible families and unequal ready times on parallel batch machines

    Lars Mönch;Jens Zimmermann;Peter Otto

  • Simulation-based benchmarking of production control schemes for complex manufacturing systems

    Lars Mönch

  • Hybrid algorithms for the vehicle routing problem with clustered backhauls and 3D loading constraints

    Andreas Bortfeldt;Thomas Hahn;Dirk Männel;Lars Mönch

  • Planning Wafer Starts Using Nonlinear Clearing Functions: A Large-Scale Experiment

    Necip Baris Kacar;Lars Monch;Reha Uzsoy

  • A Simulation Framework for the Performance Assessment of Shop-Floor Control Systems

    Lars Mönch;Oliver Rose;Roland Sturm

  • Simulation-based performance assessment of master planning approaches in semiconductor manufacturing

    Thomas Ponsignon;Thomas Ponsignon;Lars Mönch

  • Heuristics for vehicle routing problems with backhauls, time windows, and 3D loading constraints

    Sebastian Reil;Andreas Bortfeldt;Lars Mönch

  • A methodology to solve large-scale cooperative transportation planning problems

    Ralf Sprenger;Lars Mönch

  • A survey of semiconductor supply chain models Part II: demand planning, inventory management, and capacity planning

    Reha Uzsoy;John W. Fowler;Lars Mönch

  • On the numerical solution of the direct scattering problem for an open sound-hard arc

    Lars Mönch

  • A survey of semiconductor supply chain models part III: master planning, production planning, and demand fulfilment

    Lars Mönch;Reha Uzsoy;John W. Fowler

  • Heuristic approaches for master planning in semiconductor manufacturing

    Thomas Ponsignon;Lars Mönch

  • Scheduling jobs with time constraints between consecutive process steps in semiconductor manufacturing

    Andreas Klemmt;Lars Mönch

  • FABMAS: An Agent-Based System for Production Control of Semiconductor Manufacturing Processes

    Lars Mönch;Marcel Stehli;Jens Zimmermann

Frequent Co-Authors

John W. Fowler
John W. Fowler Arizona State University
Reha Uzsoy
Reha Uzsoy North Carolina State University
Stéphane Dauzère-Pérès
Stéphane Dauzère-Pérès École des Mines de Saint-Étienne
Chen-Fu Chien
Chen-Fu Chien National Tsing Hua University
Dirk C. Mattfeld
Dirk C. Mattfeld Technische Universität Braunschweig
Stefan Voß
Stefan Voß Universität Hamburg
Tae-Eog Lee
Tae-Eog Lee Korea Advanced Institute of Science and Technology
Paulo Leitão
Paulo Leitão Polytechnic Institute of Bragança
George C. Runger
George C. Runger Arizona State University
Sandra A. Brown
Sandra A. Brown University of California, San Diego

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Interested in expanding your Computer Science education or gaining job-ready skills? There are a range of flexible, affordable online degree options in the USA. For those needing a quick boost, the shortest online masters degree programs let you earn a reputable master’s in as little as one year, providing a rapid path to higher-level roles.

If your goal is investing in a future-proof career, it’s important to know which master's degree is most in demand in usa. Computer Science, Data Analytics, and AI top the list due to growing tech industry needs. For those beginning their journey or seeking a budget-friendly foundation, many associates degrees online are available in IT and coding, building essential technical skills quickly.

Cost is a key concern for many students. By choosing from the affordable online degree programs, you can access quality education without high tuition fees or relocation expenses. These pathways offer flexibility, making it easier for working professionals and international students to advance in the fast-growing tech sector.

Best Scientists Citing Lars Mönch

Trending Scientists

Recently Published Articles