Results 51 to 60 of about 22,962 (193)

Production Time Optimization using Campbell Dudek Smith (CDS) Algorithm for Production Scheduling [PDF]

E3S Web of Conferences, 2019
The production time optimization study used the Campbell Dudek smith (CDS) algorithm in the production process scheduling aimed at makespan optimization for engine operation to produce 12-size pan products, 14-size griddle, 16-size griddle, 18-size ...
Mashuri Chamdan, Mujianto Ahmad Heru, Sucipto Hadi, Arsam Rinaldo Yudianto, Permadi Ginanjar Setyo   +4 more
doaj   +1 more source

Energy‐aware flexible job shop scheduling problem with nonlinear routes and position‐based learning effect

International Transactions in Operational Research, Volume 33, Issue 2, Page 860-891, March 2026.
Abstract Sustainability has become one of the main objectives in all human activities and, in particular, in manufacturing environments. In this paper, we consider the flexible job shop scheduling problem with the objective of minimizing energy consumption.
Ernesto G. Birgin, José Angel Riveaux, Débora P. Ronconi   +2 more
wiley   +1 more source

An Efficient Task Scheduling for Cloud Computing Platforms Using Energy Management Algorithm: A Comparative Analysis of Workflow Execution Time

IEEE Access
Cloud computing platform offers numerous applications and resources such as data storage, databases, and network building. However, efficient task scheduling is crucial for maximizing the overall execution time.
Adeel Ahmed, Muhammad Adnan, Saima Abdullah, Israr Ahmad, Nazik Alturki, Leila Jamel   +5 more
doaj   +1 more source

Stall‐Free Asynchronous State Repartitioning With a Proactive Workload Tracking Window

Concurrency and Computation: Practice and Experience, Volume 38, Issue 3, February 2026.
ABSTRACT High‐throughput stateful applications rely on dynamic data repartitioning to adapt to changing workloads, but this process presents significant challenges. This paper provides a detailed analysis of such challenges, drilling down into the tradeoffs between adaptation, computational overhead, and service availability. We identify that a primary
Douglas Pereira Luiz, Odorico Machado Mendizabal   +1 more
wiley   +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

Performance and Cost Evaluation of StarPU on AWS: Case Studies With Dense Linear Algebra Kernels and N‐Body Simulations

Concurrency and Computation: Practice and Experience, Volume 38, Issue 3, February 2026.
ABSTRACT Task‐based programming interfaces introduce a paradigm in which computations are decomposed into fine‐grained units of work known as “tasks”. StarPU is a runtime system originally developed to support task‐based parallelism on on‐premise heterogeneous architectures by abstracting low‐level hardware details and efficiently managing resource ...
Vanderlei Munhoz, Vinicius G. Pinto, João V. F. Lima, Márcio Castro, Daniel Cordeiro, Emilio Francesquini   +5 more
wiley   +1 more source

A deterministic truthful PTAS for scheduling related machines

, 2009
Scheduling on related machines ($Q||C_{\max}$) is one of the most important problems in the field of Algorithmic Mechanism Design. Each machine is controlled by a selfish agent and her valuation can be expressed via a single parameter, her {\em speed ...
Christodoulou, George, Kovacs, Annamaria
core   +2 more sources

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

Mapping Quantum Computing Techniques for NP‐Hard Problems in Operations Management and Operations Research

Engineering Reports, Volume 8, Issue 2, February 2026.
Quantum computing techniques such as Quantum Annealing and Quadratic Unconstrained Binary Optimization are effectively solving NP‐hard problems in operations management and research, particularly in logistics, manufacturing, and finance. This study maps these applications to present a framework for future adoption across industries. ABSTRACT This study
Daniel Bouzon Nagem Assad, Patricia Gomes Ferreira da Costa, Thaís Spiegel, Hélcio de Oliveira Rocha   +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