Najat Bara

ORCID: 0000-0001-6834-6532
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About
Contact & Profiles
Research Areas
  • Advanced Manufacturing and Logistics Optimization
  • Scheduling and Optimization Algorithms
  • Accounting and Organizational Management
  • Supply Chain and Inventory Management
  • Operations Management Techniques
  • Optimization and Packing Problems
  • Transportation and Mobility Innovations
  • Quality and Supply Management
  • Simulation Techniques and Applications
  • Efficiency Analysis Using DEA
  • Vehicle Routing Optimization Methods
  • Urban and Freight Transport Logistics
  • Big Data and Business Intelligence
  • Multi-Criteria Decision Making
  • Sustainable Supply Chain Management
  • Capital Investment and Risk Analysis

CentraleSupélec
2024

Université Mohammed VI Polytechnique
2019-2022

Université Paris 1 Panthéon-Sorbonne
2019-2020

Université des Lettres et des Sciences Humaines de Bamako
2019

Sorbonne Université
2019

This paper describes the basis of a Decision Support System (DSS) designed to schedule fertiliser production orders be delivered within time windows, in plants made up multiple heterogeneous parallel processors (production lines), considering that rates and nomenclatures depend on lines, setup times sequence taking into account downtime constraints (preventive maintenance …). A mixed linear programming model is encapsulated DSS which considers schedule’s impacts, immediately upstream...

10.1080/00207543.2019.1661539 article EN International Journal of Production Research 2019-09-23

Operational management is based on decisions that are related to the way resources used in short run. Reviewing choice between several alternative operational requires proper economic evaluation. The information provided by traditional cost accounting not suitable for direct use at decision-making process. We present an approach identifying physical consequences of being assessed, relevant activity driver measures, establishing material balance and estimating differential using information....

10.1080/09537287.2020.1751891 article EN Production Planning & Control 2020-04-15

10.1109/codit62066.2024.10708106 article EN 2022 8th International Conference on Control, Decision and Information Technologies (CoDIT) 2024-07-01

Decision models presented in Supply Chain (SC) and Operations Management articles are often based on an economic criterion to find the best possible solution. Thus, solution's relevance depends significance of cost information used. This paper aims suggest a set methodological precautions for evaluation decision models. It reviews 12 illustrative understand their functions. The emphasizes that when is not appropriate decisions under consideration, solution provided by model may be...

10.2139/ssrn.4694143 preprint EN 2024-01-01

RÉSUMÉLa simulation permet d'évaluer les conséquences, sur le fonctionnement d'un système productif, de décisions opérationnelles dont l'impact est observable à court terme, avec une maille temporelle pas trop fine. Une chaîne logistique hybride (CLH) enchaîne, sans restriction, des processus élémentaires continus et/ou discrets. Actuellement, la modélisation et d'une telle CLH, au niveau opérationnel, n'est possible aucun logiciel commercial, basé événements discrets (SED), dynamique...

10.1080/12507970.2019.1685919 article FR Logistique & Management 2019-11-19

La prise de décision en management industriel fait un appel croissant à des modèles d’optimisation comportant éclairage économique, et donc privilégiant une performance définie termes d’efficience. Cet économique implique le recours système coûts qui doit être compatible avec l’impact dans temps l’espace décisions envisagées, raison leurs incidences sur compte résultat. comptabilité gestion est fondée certain nombre d’hypothèses relatives au fonctionnement du productif peuvent assez...

10.53102/2021.35.01.905 article FR cc-by-nc Revue Française de Gestion Industrielle 2021-11-09
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