Results 51 to 60 of about 13,809 (278)

Optimization of structural assembly scheduling in the aeronautics industry

International Transactions in Operational Research, EarlyView.
Abstract In the aeronautical industry, structural assembly refers to the stage in which parts, subassemblies, and main aircraft structures are fitted together, forming aerostructures. Aircraft structural assembly requires many complex activities to be performed over an intricate precedence network and is subject to interactions among the various ...
Bruno Jensen Virginio da Silva, Mateus Martin, Reinaldo Morabito, Vitoria Pureza   +3 more
wiley   +1 more source

Scheduling optimization of optical lens polishing

International Transactions in Operational Research, Volume 33, Issue 6, Page 3744-3768, November 2026.
Abstract Optical systems have achieved notable progress in focusing and imaging technologies; however, manual grinding remains indispensable, resulting in elevated costs, extended timelines, and inefficiencies. These difficulties are compounded by operational constraints, uneven machine utilization, and risks of order delays and escalating expenses ...
Tzu‐Chin Lin, Bertrand M. T. Lin
wiley   +1 more source

Task Scheduling in Cloud Environment–Techniques, Applications, and Tools: A Systematic Literature Review

IEEE Access
Cloud computing has become a revolutionary model for providing computational resources and services via the internet. As the volume of tasks and the dynamic nature of cloud resources increase, several critical challenges emerge, including load balancing,
Olanrewaju L. Abraham, Md Asri Bin Ngadi, Johan Bin Mohamad Sharif, Mohd Kufaisal Mohd Sidik   +3 more
doaj   +1 more source

A Load Balancing Algorithm for the Data Centres to Optimize Cloud Computing Applications

IEEE Access, 2021
Despite the many past research conducted in the Cloud Computing field, some challenges still exist related to workload balancing in cloud-based applications and specifically in the Infrastructure as service (IaaS) cloud model.
Dalia Abdulkareem Shafiq, Noor Zaman Jhanjhi, Azween Abdullah, Mohammed A. Alzain   +3 more
doaj   +1 more source

Modeling and generating user‐centered contrastive explanations for the workforce scheduling and routing problem

International Transactions in Operational Research, Volume 33, Issue 3, Page 1525-1558, May 2026.
Abstract In the last decade, explainability has been attracting much attention in the machine learning community. However, this research topic extends beyond this field to encompass others such as operations research and combinatorial optimization (CO).
Mathieu Lerouge, Céline Gicquel, Vincent Mousseau, Wassila Ouerdane   +3 more
wiley   +1 more source

A Mixed-Integer Linear Programming Model for Addressing Efficient Flexible Flow Shop Scheduling Problem with Automatic Guided Vehicles Consideration

Applied Sciences
With the development of Industry 4.0, discrete manufacturing systems are accelerating their transformation toward flexibility and intelligence to meet the market demand for various products and small-batch production.
Dekun Wang, Hongxu Wu, Wengang Zheng, Yuhao Zhao, Guangdong Tian, Wenjie Wang, Dong Chen   +6 more
doaj   +1 more source

Makespan - Normal Distributed Dataset.

, 2016
Makespan - Normal Distributed Dataset.
Mohammed Abdullahi (846140), Md Asri Ngadi (846138)   +1 more
core   +1 more source

A Novel Hybrid Recruit Simulated Annealing and Rat Swarm Optimization Algorithm for Permutation Flow Shop Scheduling

Engineering Reports, Volume 8, Issue 4, April 2026.
Rat swarm position update mechanism in HRSA‐RSO, illustrating the collective exploration behavior around the prey target (A*, B*). ABSTRACT The permutation flow shop scheduling problem (PFSSP) is a classical NP‐hard problem that aims to determine an optimal job sequence across machines to minimize makespan.
Mourad Mzili, Mouna Torki, Toufik Mzili, Mohammed Benzakour Amine, Nebojsa Bacanin, Momina Shaheen   +5 more
wiley   +1 more source

Makespan - HPC2N Dataset.

, 2016
Makespan - HPC2N Dataset.
Mohammed Abdullahi (846140), Md Asri Ngadi (846138)   +1 more
core   +1 more source

Anytime Lexicographic Enumeration of the Pareto Front in Multi‐Objective Combinatorial Optimisation

Journal of Multi-Criteria Decision Analysis, Volume 33, Issue 1, April 2026.
ABSTRACT Multi‐objective combinatorial optimisation problems are widespread in real‐world scenarios, including resource allocation, scheduling and logistics, where multiple competing objectives need to be optimised simultaneously. In industrial contexts, lexicographic optimisation is often used to solve these problems, requiring the decision‐maker (DM)
Marco Foschini, Dimos Tsouros, Bistra Dilkina, Tias Guns   +3 more
wiley   +1 more source