Results 31 to 40 of about 2,111 (188)

Novel Heuristic Algorithm for Flexible Job Shop Scheduling based on the Longest Processing Time Rules to Minimize Makespan

Jurnal Teknik Industri, 2023
This research examined the scheduling of jobs with multiple stages unto identical parallel machines to minimize the makespan. The work is motivated by a Flexible Manufacturing System case that produces various parts and has multiple machining centers ...
Eka Pakpahan, Kenneth David Sumarna
doaj   +1 more source

On‐Time Meal Delivery Assisted by Drone Resupply

Naval Research Logistics (NRL), EarlyView.
ABSTRACT Ensuring timely delivery is crucial with the increasing competition in online meal delivery services. This requires the industry to adopt new technologies and the corresponding operational models, including the use of drones. Concerning the desired features of meal delivery, such as safety and reliability, we propose an operational model that ...
Wenqian Liu, Lindong Liu, Xiangtong Qi
wiley   +1 more source

Deep Reinforcement Learning Based Autonomous Decision‐Making for Cooperative Uncrewed Aerial Vehicles: A Search and Rescue Real World Application

Journal of Field Robotics, EarlyView.
ABSTRACT This paper presents the first end‐to‐end framework that combines guidance, navigation, and centralized task allocation for multiple UAVs performing autonomous search‐and‐rescue (SAR) in GNSS‐denied indoor environments. A twin delayed deep deterministic policy gradient controller is trained with an artificial potential field (APF) reward that ...
Thomas Hickling, Maxwell Hogan, Abdulla Tammam, Nabil Aouf   +3 more
wiley   +1 more source

Multiobjective Task Scheduling in Cloud Environment Using Decision Tree Algorithm

IEEE Access, 2022
In recent years, Cloud computing has been developed and become the foundation of a wide range of applications. It allows users to access a catalog of standardized services and respond to their business needs flexibly and adaptively, in the event of ...
Hadeer Mahmoud, Mostafa Thabet, Mohamed H. Khafagy, Fatma A. Omara   +3 more
doaj   +1 more source

M3RS: Multi‐Robot, Multi‐Objective, and Multi‐Mode Routing and Scheduling

Journal of Field Robotics, EarlyView.
ABSTRACT Task execution quality significantly impacts multi‐robot missions, yet existing task allocation frameworks rarely consider quality of service as a decision variable, despite its importance in applications like robotic disinfection and cleaning. We introduce the multi‐robot, multi‐objective, and multi‐mode routing and scheduling (M3RS) problem,
Ishaan Mehta, Junseo Kim, Sharareh Taghipour, Sajad Saeedi   +3 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

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

Exact and metaheuristic approaches to minimizing makespan in parallel machine scheduling with conflicting jobs

International Transactions in Operational Research, EarlyView.
Abstract We address the scheduling conflicting jobs on parallel identical machines problem with makespan minimization, a classical and computationally challenging variant of parallel machine scheduling. We develop and evaluate three distinct solution methodologies: a novel constraint programming (CP) formulation, and two metaheuristics: a multi ...
Roberto Maria Rosati, Dinh Quy Ta, Minh Hoàng Hà, Andrea Schaerf   +3 more
wiley   +1 more source

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

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