Scheduling under uncertainty for industry 4.0 and 5.0

K Bakon, T Holczinger, Z Süle, S Jaskó… - IEEE Access, 2022 - ieeexplore.ieee.org
This article provides a review about how uncertainties in increasingly complex production
and supply chains should be addressed in scheduling tasks. Uncertainty management will …

Digital twin enhanced dynamic job-shop scheduling

M Zhang, F Tao, AYC Nee - Journal of Manufacturing Systems, 2021 - Elsevier
For dynamic scheduling, which is daily decision-making in a job-shop, machine availability
prediction, disturbance detection and performance evaluation are always common …

Towards energy efficient scheduling and rescheduling for dynamic flexible job shop problem

M Nouiri, A Bekrar, D Trentesaux - Ifac-PapersOnline, 2018 - Elsevier
Nowadays the migration to green manufacturing is the interest of many companies. Taken
into account sustainability in all industrial activities is the main goal of sustainable intelligent …

An improved hybrid metaheuristics and rule-based approach for flexible job-shop scheduling subject to machine breakdowns

LM Thi, TT Mai Anh, N Van Hop - Engineering Optimization, 2023 - Taylor & Francis
This article proposes an improved hybrid heuristic algorithm to handle the flexible job-shop
scheduling problem subject to machine breakdowns. An initial prescheduling sequence is …

An energy-efficient scheduling and rescheduling method for production and logistics systems

M Nouiri, A Bekrar, D Trentesaux - International Journal of …, 2020 - Taylor & Francis
Scheduling can be defined as the allocation of available resources over time while
optimising a set of criteria like early completion time of task, holding inventory, etc. The …

Towards energy efficient scheduling of manufacturing systems through collaboration between cyber physical production and energy systems

M Nouiri, D Trentesaux, A Bekrar - Energies, 2019 - mdpi.com
Currently, enhancing sustainability, and in particular reducing energy consumption, is a
huge challenge for manufacturing enterprises. The vision of the fourth industrial revolution …

A genetic algorithm for the personnel task rescheduling problem with time preemption

T Borgonjon, B Maenhout - Expert Systems with Applications, 2024 - Elsevier
In this paper, we study the personnel task rescheduling problem with time preemption. We
assume a baseline task schedule has been composed some time in advance that has been …

Robust scheduling in two-stage assembly flow shop problem with random machine breakdowns: integrated meta-heuristic algorithms and simulation approach

S Tadayonirad, H Seidgar, H Fazlollahtabar… - Assembly …, 2019 - emerald.com
Purpose In real manufacturing systems, schedules are often disrupted with uncertainty
factors such as random machine breakdown, random process time, random job arrivals or …

Optimally rescheduling jobs with a Last-In-First-Out buffer

G Nicosia, A Pacifici, U Pferschy, J Resch… - Journal of Scheduling, 2021 - Springer
This paper considers single-machine scheduling problems in which a given solution, ie, an
ordered set of jobs, has to be improved as much as possible by re-sequencing the jobs. The …

Algorithms for rescheduling jobs with a LIFO buffer to minimize the weighted number of late jobs

U Pferschy, J Resch, G Righini - Journal of Scheduling, 2023 - Springer
Rescheduling can help to improve the quality of a schedule with respect to an initially given
sequence. In this paper, we consider the possibility of rescheduling jobs arriving for …