Data-driven prescriptive maintenance: Failure prediction using ensemble support vector classification for optimal process and maintenance scheduling

CAK Gordon, B Burnak, M Onel… - Industrial & …, 2020 - ACS Publications
Maintenance can improve the availability of aging production systems and prevent process
safety incidents. However, because of system complexity, resource allocation is nontrivial …

Optimization of multipurpose process plant operations: A multi-time-scale maintenance and production scheduling approach

M Biondi, G Sand, I Harjunkoski - Computers & Chemical Engineering, 2017 - Elsevier
Scheduling of production and maintenance plays a fundamental role in the effective
operation of process plants. Frequently the two decision processes are independently …

A hybrid of variable neighbor search and fuzzy logic for the permutation flowshop scheduling problem with predictive maintenance

A Ladj, FBS Tayeb, C Varnier, AA Dridi… - Procedia Computer …, 2017 - Elsevier
This study focuses on permutation flowshop scheduling problem (PFSP) under availability
constraints with makespan and maintenance cost optimization criteria. Machines …

A decison-making approach for job shop scheduling with job depending degradation and predictive maintenance

C Fitouri, N Fnaiech, C Varnier, F Fnaiech… - IFAC-PapersOnLine, 2016 - Elsevier
Maintenance is a strategic function in a company. It aims to ensure the proper functioning of
an equipment. It no longer has the sole objective to repair a system but also to anticipate …

Medium-term optimization-based approach for the integration of production planning, scheduling and maintenance

AM Aguirre, LG Papageorgiou - Computers & Chemical Engineering, 2018 - Elsevier
A medium-term optimization-based approach is proposed for the integration of production
planning, scheduling and maintenance. The problem presented in this work considers a …

IPro-GA: an integrated prognostic based GA for scheduling jobs and predictive maintenance in a single multifunctional machine

A Ladj, C Varnier, FBS Tayeb - IFAC-PapersOnLine, 2016 - Elsevier
In highly competitive environment, manufacturing system availability has become a critical
issue. For this reason, predictive maintenance must be properly integrated in the production …

Post prognostic decision for predictive maintenance planning with remaining useful life uncertainty

K Benaggoune, S Meraghni, J Ma… - 2020 prognostics …, 2020 - ieeexplore.ieee.org
This paper investigates the use of the Particle Swarm Optimization (PSO) algorithm to
quantify the effect of RUL uncertainty on predictive maintenance planning. The prediction of …

Hybrid of metaheuristic approaches and fuzzy logic for the integrated flowshop scheduling with predictive maintenance problem under uncertainties

A Ladj, FBS Tayeb, C Varnier - European Journal of …, 2021 - inderscienceonline.com
Maintenance interventions must be properly integrated in the production scheduling in order
to prevent failure risks. In this context, we investigate the permutation flowshop scheduling …

An Artificial Bee Colony Algorithm for Coordinated Scheduling of Production Jobs and Flexible Maintenance in Permutation Flowshops

A Ladj, F Benbouzid-Si Tayeb, A Dahamni… - Technologies, 2024 - mdpi.com
This research work addresses the integrated scheduling of jobs and flexible (non-
systematic) maintenance interventions in permutation flowshop production systems. We …

Exact and heuristic algorithms for post prognostic decision in a single multifunctional machine

A Ladj, C Varnier, FBS Tayeb… - International Journal of …, 2017 - papers.phmsociety.org
Exact and heuristic algorithms for post prognostic decision in a single multifunctional machine
Page 1 Exact and heuristic algorithms for post prognostic decision in a single multifunctional …