Artelys Kalis 12.8: Solve your biggest Job shop problems!

15 April 2020

— Checkout the new version of Artelys Kalis! This update comes with improvements on the job shop instances, in terms of modelling capabilities and resolution performances.

Main new features

 

This new version makes it easier to solve job-shop problems (JSP). Artelys Kalis improves the modeling and resolution of optimization problems in IT and operations research where jobs have to be scheduled and assigned to resources .

On the modelling side, the user is now able to define a set-up time between two tasks requiring the same resource. For example, it is now easy to model a scheduling problem where the maintenance tasks are to be performed in different places meaning the skilled technicians required for these tasks must travel between these places.

On the resolution side, the Timetable algorithm, used for the propagation of the resource constraints for the tasks, has been vastly improved, notably for the alternative resources. As a result, the performance of Artelys Kalis has vastly improved. For example, in the case of a scheduling problem with up to 250 alternative resources as a function of the number of tasks planned, the computation time reduces as shown below:

Other new features of Artelys Kalis 12.8:

  • Support of Python 3
  • Cross-platform random numbers generation
  • For more information, do not hesitate to contact us.

    Join us at the METIS 3 dissemination event organized by Artelys!

    Join us at the METIS 3 dissemination event organized by Artelys!

    — Artelys is thrilled to invite you to the METIS 3 Dissemination Event taking place on 17 April. During this online event, we will present the latest results of the METIS project and discuss the benefits of using advanced multi-energy modelling solutions such as METIS for energy and climate policymaking.

    read more
    New method for energy mix pathway optimization problems

    New method for energy mix pathway optimization problems

    — Planning for the energy transition requires the ability to optimize energy system development pathways, considering complex interactions and constraints, particularly concerning interactions between sectors and vectors. In this context, Artelys has developed a new method for solving these large-scale mathematical problems.

    read more

    subscribe to our newsletters

    The collected data will be exclusively processed by the company Artelys for the purpose of keeping you informed about the services and products marketed by our company.

    🛈

    © ARTELYS • All rights reserved • Legal mentions

    Artelys Kalis 12.8: Résolvez des problèmes de job shop toujours plus grands !

    15 April 2020

    Découvrez la nouvelle version d’Artelys Kalis ! Cette version apporte des améliorations sur les problèmes de job shop, en termes de modélisation et de résolution.

    Principales nouveautés

     

    Cette nouvelle version permet de résoudre plus facilement les problèmes de job-shop (JSP). Artelys Kalis améliore la modélisation et la résolution de problèmes d’optimisation en informatique et en recherche opérationnelle pour lesquels des tâches doivent être planifiées et affectées à des ressources.

    Du point de vue de la modélisation, il est désormais possible pour l’utilisateur de définir un set-up time entre deux tâches nécessitant la même ressource. Par exemple, il devient facile de modéliser un problème de planification de tâches de maintenance localisées à des lieux différents, et pour lesquelles les techniciens compétents pour les accomplir doivent se déplacer entre elles.

    Du point de vue de la résolution, l’algorithme Timetable (algorithme utilisé pour la propagation des contraintes entre tâches et ressources) a été largement amélioré, notamment pour les ressources alternatives. Des gains de performance importants en résultent. Pour un problème de planification avec 250 ressources alternatives en fonction du nombre de tâches planifiées, la nouvelle version d’Artelys Kalis permet de significativement réduire le temps de calcul :

    De plus, Artelys Kalis 12.8 inclut maintenant les fonctionnalités suivantes :

    • Support de Python 3
    • Générateur cross-platform de nombres aléatoires
    • Pour plus d’information, n’hésitez pas à nous contacter!

    Join us at the METIS 3 dissemination event organized by Artelys!

    Join us at the METIS 3 dissemination event organized by Artelys!

    — Artelys is thrilled to invite you to the METIS 3 Dissemination Event taking place on 17 April. During this online event, we will present the latest results of the METIS project and discuss the benefits of using advanced multi-energy modelling solutions such as METIS for energy and climate policymaking.

    read more
    New method for energy mix pathway optimization problems

    New method for energy mix pathway optimization problems

    — Planning for the energy transition requires the ability to optimize energy system development pathways, considering complex interactions and constraints, particularly concerning interactions between sectors and vectors. In this context, Artelys has developed a new method for solving these large-scale mathematical problems.

    read more
    Abonnez-vous à notre newsletter

    The collected data will be exclusively processed by the company Artelys for the purpose of keeping you informed about the services and products marketed by our company.

    🛈

    © ARTELYS • Tous droits réservés • Mentions légales

    Pin It on Pinterest

    Share This