Optimizing integrated lot sizing and production scheduling in flexible flow line systems with energy scheme: A two level approach based on reinforcement learning-Reference-Cited by-同舟云学术

Optimizing integrated lot sizing and production scheduling in flexible flow line systems with energy scheme: A two level approach based on reinforcement learning

Published:2024-04 Issue: Volume:190 Page:110095
ISSN:0360-8352
Container-title:Computers & Industrial Engineering
language:en
Short-container-title:Computers & Industrial Engineering

Author:

Jabeur Mohamed Habib,Mahjoub Sonia,Toublanc Cyril^ORCID,Cariou Veronique^ORCID

Funder

Région Pays de la Loire

Ministry of Agriculture and Food

Publisher

Elsevier BV

Reference32 articles.

1. Approaches for the joint resolution of lot-sizing and scheduling with infeasibilities occurrences;Alves;Computers & Industrial Engineering,2021

2. A genetic algorithm for the simultaneous lot sizing and scheduling problem in capacitated flow shop with complex setups and backlogging;Babaei;The International Journal of Advanced Manufacturing Technology,2014

3. A reactive-iterative optimization algorithm for scheduling of air separation units under uncertainty in electricity prices;Basán;Computers & Chemical Engineering,2020

4. Hybrid matheuristics to solve the integrated lot sizing and scheduling problem on parallel machines with sequence-dependent and non-triangular setup;Carvalho;European Journal of Operational Research,2022

5. Scheduling flexible manufacturing cell with no-idle flow-lines and job-shop via Q-learning-based genetic algorithm;Cheng;Computers & Industrial Engineering,2022

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