World's Best Scientists 2026 revealed!
Stéphane Dauzère-Pérès

Stéphane Dauzère-Pérès

D-Index & Metrics

Mathematics

D-Index
41
Citations
7023
World Ranking
1910
National Ranking
115

Engineering and Technology

D-Index
45
Citations
8733
World Ranking
5432
National Ranking
111

Overview

Stéphane Dauzère-Pérès is affiliated with the École des Mines de Saint-Étienne in France. Their research primarily focuses on the field of engineering, with a particular emphasis on industrial and manufacturing engineering. Their work also spans related subfields such as management information systems, management science and operations research, transportation, and mechanical engineering.

The main topics covered in their research include:

  • Scheduling and Optimization Algorithms
  • Advanced Manufacturing and Logistics Optimization
  • Assembly Line Balancing Optimization
  • Supply Chain and Inventory Management
  • Optimization and Packing Problems
  • Manufacturing Process and Optimization
  • Railway Systems and Energy Efficiency

Among their recent papers is "The flexible job shop scheduling problem: A review" (2023) published in the European Journal of Operational Research. Other recent works relevant to the field include research on flexible job-shop scheduling with transportation resources (2023, European Journal of Operational Research), multiobjective optimization approaches (2021, European Journal of Operational Research), and papers addressing real-time rescheduling in dense railway systems (2020, European Journal of Operational Research).

Frequent publication venues for their research consist mainly of:

  • European Journal of Operational Research
  • International Journal of Production Research
  • Computers & Operations Research
  • SSRN Electronic Journal
  • Production and Operations Management

Stéphane Dauzère-Pérès has collaborated multiple times with co-authors such as Claude Yugma, Karim Tamssaouet, Liji Shen, Philippe Vialletelle, and Mehdi Charles.

Best Publications

  • A literature review on the impact of RFID technologies on supply chain management

    Aysegul Sarac;Nabil Absi;Stéphane Dauzère-Pérès

  • AN INTEGRATED APPROACH FOR MODELING AND SOLVING THE GENERAL MULTIPROCESSOR JOB-SHOP SCHEDULING PROBLEM USING TABU SEARCH

    Stéphane Dauzère-Pérès;Jan Paulli

  • Single item lot sizing problems

    Nadjib Brahimi;Stéphane Dauzere-Peres;Najib M. Najid;Atle Nordli

  • 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

  • Lot Sizing with Carbon Emission Constraints

    Nabil Absi;Stéphane Dauzère-Pérès;Safia Kedad-Sidhoum;Bernard Penz

  • Routing Trains through railway stations: model formulation and algorithms

    Peter J. Zwaneveld;Leo G. Kroon;H. Edwin Romeijn;Marc Salomon

  • Solving the flexible job shop scheduling problem with sequence-dependent setup times

    Liji Shen;Stéphane Dauzère-Pérès;Stéphane Dauzère-Pérès;Janis Sebastian Neufeld

  • Single-item dynamic lot-sizing problems: An updated survey

    Nadjib Brahimi;Nabil Absi;Stéphane Dauzère-Pérès;Stéphane Dauzère-Pérès;Atle Nordli

  • A genetic local search algorithm for minimizing total weighted tardiness in the job-shop scheduling problem

    Imen Essafi;Yazid Mati;Stéphane Dauzère-Pérès

  • A modified shifting bottleneck procedure for job-shop scheduling

    S. Dauzere-Peres;J.-B. Lasserre

  • The flexible job shop scheduling problem: A review

    Unknown

  • Multi-resource shop scheduling with resource flexibility

    Stéphane Dauzère-Pérès;W. Roux;Jean B. Lasserre

  • A Two-Phase Iterative Heuristic Approach for the Production Routing Problem

    N. Absi;C. Archetti;S. Dauzère-Pérès;D. Feillet

  • Genetic algorithms to minimize the weighted number of late jobs on a single machine

    Marc Sevaux;Stéphane Dauzère-Pérès

  • Artificial intelligence in manufacturing and logistics systems: algorithms, applications, and case studies

    Chen Fu Chien;Stéphane Dauzère-Pérès;Woonghee Tim Huh;Young Jae Jang

  • Solving the discrete lotsizing and scheduling problem with sequence dependent set-up costs and set-up times using the Travelling Salesman Problem with time windows

    Marc Salomon;Marius M. Solomon;Luk N. Van Wassenhove;Yvan Dumas

  • Modelling and analysis of semiconductor manufacturing in a shrinking world: challenges and successes

    Chen-Fu Chien;Stéphane Dauzère-Pérès;Hans Ehm;John W. Fowler

  • A general approach for optimizing regular criteria in the job-shop scheduling problem

    Yazid Mati;Stéphane Dauzère-Pérès;Chams Lahlou

  • An Integrated Approach in Production Planning and Scheduling

    Stéphane Dauzère-Péres;Jean-Bernard Lasserre

  • Integration of lotsizing and scheduling decisions in a job-shop

    Stephane Dauzère-Péres;Jean-Bernard Lasserre

  • Lot streaming in job-shop scheduling

    Stéphane Dauzère-Pérès;Jean-Bernard Lasserre

  • Routing Trains through railway stations: model formulation and algorithms

    P.J. Zwaneveld;L.G. Kroon;H.E. Romeijn;M. Salomon

Frequent Co-Authors

Dominique Feillet
Dominique Feillet École des Mines de Saint-Étienne
Jean B. Lasserre
Jean B. Lasserre Laboratory for Analysis and Architecture of Systems
Marc Sevaux
Marc Sevaux Centre national de la recherche scientifique, CNRS
Lars Mönch
Lars Mönch University of Hagen
Chen-Fu Chien
Chen-Fu Chien National Tsing Hua University
John W. Fowler
John W. Fowler Arizona State University
Alexandre Dolgui
Alexandre Dolgui IMT Atlantique
Leo Kroon
Leo Kroon Erasmus University Rotterdam
Reha Uzsoy
Reha Uzsoy North Carolina State University
Claudia Archetti
Claudia Archetti École Supérieure des Sciences Économiques et Commerciales

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

For students studying Mathematics in the USA, expanding into related fields can open diverse career opportunities. Many opt for advanced degrees in data-focused areas, such as Data Analytics, where specialized programs provide skills in interpreting complex datasets. For those interested, exploring the best data analysis programs can be a strategic move.

Mathematics graduates often transition into business roles, making an MBA a popular choice. Flexible options like the best online MBA programs that accept transfer credits allow students to capitalize on their undergraduate work, reducing time and cost. Learning about the transfer credits for online MBA programs can help streamline this educational path.

For those looking for a more accessible entry point, identifying the easiest MBA programs can make a significant difference. This approach is especially valuable for professionals balancing work and study commitments. Resources detailing the easiest MBA programs help students find programs aligned with their needs.

Moreover, with the rise of online education, the easiest online MBA programs offer convenience and flexibility, ideal for busy learners seeking to advance their careers without disrupting their schedules. Exploring the easiest online MBA degree programs can guide students toward the right fit.

Best Scientists Citing Stéphane Dauzère-Pérès

Trending Scientists

Recently Published Articles