Hybrid task scheduling strategy for cloud computing by modified particle swarm optimization and fuzzy theory

N Mansouri, BMH Zade, MM Javidi - Computers & Industrial Engineering, 2019 - Elsevier
As the world is progressing towards more efficient computing and faster approaches, cloud
computing is a popular computing model to such increasing requirements. In order to …

A survey of case studies in production scheduling: Analysis and perspectives

HY Fuchigami, S Rangel - Journal of Computational Science, 2018 - Elsevier
The problems of production scheduling and sequencing refer to decision making regarding
the designation of jobs to available resources and their subsequent order to optimize pre …

Robust smart energy efficient production planning for a general job-shop manufacturing system under combined demand and supply uncertainty in the presence of …

H Golpîra, SAR Khan, Y Zhang - Journal of cleaner production, 2018 - Elsevier
This paper is the first to introduce the concept of Smart Energy-Efficient Production-Planning
(SEEPP) for a general Job-Shop manufacturing system in the presence of Grid-connected …

A computational efficient optimization of flow shop scheduling problems

Z Liang, P Zhong, M Liu, C Zhang, Z Zhang - Scientific Reports, 2022 - nature.com
Flow shop scheduling problems are NP-hard problems. Heuristic algorithms and
evolutionary metaheuristic algorithms are commonly used to solve this kind of problem …

Mixed-model assembly line balancing using a multi-objective ant colony optimization approach

B Yagmahan - Expert systems with Applications, 2011 - Elsevier
Mixed-model assembly lines are production systems at which two or more models are
assembled sequentially at the same line. For optimal productivity and efficiency, during the …

Enhancing rule-based scheduling in wafer fabrication facilities by evolutionary algorithms: Review and opportunity

TC Chiang - Computers & Industrial Engineering, 2013 - Elsevier
Scheduling is a critical and challenging task in manufacturing systems, especially in large-
scale complex systems like wafer fabrication facilities. Although evolutionary algorithms …

On the robustness of joint production and maintenance scheduling in presence of uncertainties

A Boudjelida - Journal of Intelligent Manufacturing, 2019 - Springer
Production and preventive maintenance are very important functions in industry which act on
the same resources. However, in most real workshops, the scheduling of their respective …

A review and classification of scheduling objectives in unpaced flow shops for discrete manufacturing

FF Ostermeier, J Deuse - Journal of Scheduling, 2024 - Springer
The gap between production scheduling theory and practice still persists as theoretical
scheduling models do not cover real-world characteristics such as the multidimensional …

[PDF][PDF] A novel artificial immune algorithm for solving the job shop scheduling problem

M Afshari, H Sajedi - International Journal of Computer Applications, 2012 - Citeseer
Scheduling problems are difficult types of production arrangement problems that
enumerated among NP-Complete problems. Some of evolutionary algorithms such as …

Multiple project portfolio scheduling using recurrent neural networks

DC Tselios, IK Savvas… - International Journal of …, 2013 - inderscienceonline.com
This work is devoted to the portfolio project management problem and more precisely it is
focused on IT portfolios' management. The problem is modelled as a multi-purpose job shop …