Makespan estimation in a flexible job-shop scheduling environment using machine learning

D Tremblet, S Thevenin, A Dolgui - International Journal of …, 2024 - Taylor & Francis
ABSTRACT A production plan gives the quantity of products to release on the shop floor in
each period, where a period may represent a week or a month. The plan is the basis for …

[HTML][HTML] Constraint learning approaches to improve the approximation of the capacity consumption function in lot-sizing models

D Tremblet, S Thevenin, A Dolgui - European Journal of Operational …, 2025 - Elsevier
Classical capacitated lot-sizing models include capacity constraints relying on a rough
estimation of capacity consumption. The plans resulting from these models are often not …

Tabu search for a parallel-machine scheduling problem with periodic maintenance, job rejection and weighted sum of completion times

H Krim, N Zufferey, JY Potvin, R Benmansour… - Journal of …, 2022 - Springer
We consider in this work a bicriteria scheduling problem on two different parallel machines
with a periodic preventive maintenance policy. The two objectives considered involve …

Exploring the Power of Artificial Intelligence in Supply Chain Management: A Literature Review on the Artificial Intelligence Applications and Tools Used in Supply …

MM Harrir, L Triqui Sari - Engineering Management Journal, 2024 - Taylor & Francis
Since the beginning of the 21st century, supply chains have witnessed rapid and significant
changes along with considerable developments due to the convergence between …

[HTML][HTML] Adaptive robust electric vehicle routing under energy consumption uncertainty

J Jeong, B Ghaddar, N Zufferey, J Nathwani - Transportation Research Part …, 2024 - Elsevier
Electric vehicles (EVs) have been highly favoured as a mode of transportation in recent
years. EVs offer numerous benefits over traditional fuel-based vehicles, particularly in terms …

[HTML][HTML] A production and distribution scheduling matheuristic for reducing supply chain variations

MS Vié, N Zufferey, LC Coelho - Transportation Research Part E: Logistics …, 2025 - Elsevier
In a supply chain network, satisfying the demand at the shop level while having a smooth
production at the manufacturer (or plant) level are usually conflicting objectives. For …

An LSTM network-based genetic algorithm for integrated procurement and scheduling optimisation

A Bubak, B Rolf, T Reggelin, S Lang… - … Journal of Production …, 2024 - Taylor & Francis
Modern supply chains are characterised by high complexity, requiring effective management
through coordinated activities across interrelated functions. This study aims to move from …

Minimization of maximum lateness on parallel machines with a single server and job release dates

A Elidrissi, R Benmansour, N Zufferey, M Benbrahim… - 4OR, 2024 - Springer
This paper addresses the problem of scheduling independent jobs with release dates on
identical parallel machines with a single server. The goal consists in minimizing the …

Predicting makespan in flexible job shop scheduling problem using machine learning

D Tremblet, S Thevenin, A Dolgui - IFAC-PapersOnLine, 2022 - Elsevier
Abstract Machine learning tools have experienced a growing interest in the early 2010s,
providing efficient predictive approaches for artificial intelligence and statistical analysis …

Variable neighbourhood search for parallel machine scheduling with a single loading server: a truck-scheduling perspective

R Benmansour, M Darvish, R Todosijević… - Supply Chain Forum …, 2024 - Taylor & Francis
In this paper, we study a class of parallel machine scheduling problem with a single loading
and multiple unloading servers. We show an application of this problem in a truck …