Results 51 to 60 of about 958 (168)

Score-Based Dispatching Strategy for Twin Rubber-Tired Gantry Cranes Leveraging Spring Elasticity

Applied Sciences
Yard crane (YC) operations are critical to the overall productivity of container terminals, especially as terminals move toward higher levels of automation.
Dokyung Kim, Junjae Chae
doaj   +1 more source

A Novel Hybrid Algorithm for Minimizing Total Weighted Tardiness Cost [PDF]

Computer Science Journal of Moldova, 2019
In this research paper, we aim to present a hybrid algorithm in order to obtain a better solution to the single machine total weighted tardiness scheduling problem (SMTWT).
Lamiche Chaabane
doaj  

Automatic Design of Energy-Efficient Dispatching Rules for Multi-Objective Dynamic Flexible Job Shop Scheduling Based on Dual Feature Weight Sets

Mathematics
Considering the requirements of the actual production scheduling process, the utilization of the genetic programming hyper-heuristic (GPHH) approach to automatically design dispatching rules (DRs) has recently emerged as a popular optimization approach ...
Binzi Xu, Kai Xu, Baolin Fei, Dengchao Huang, Liang Tao, Yan Wang   +5 more
doaj   +1 more source

A Heuristic-Based Evolutionary Approach for Joint Optimization of Job Shop Scheduling and Facility Layout

IEEE Access
Job shop scheduling (JSS) aims to arrange the processing sequence of a series of operations to optimize the cost objective. The most common objective is to minimize the makespan without considering the flow time of materials between machines. However, in
Wei Xu, Yi Wan
doaj   +1 more source

Integrated Process Planning and Scheduling Framework Using an Optimized Rule-Mining Approach for Smart Manufacturing

Mathematics
Manufacturing industries are undergoing a significant transformation toward Smart Manufacturing (SM) to meet the ever-evolving demands for customized products.
Syeda Marzia, Ahmed Azab, Alejandro Vital-Soto   +2 more
doaj   +1 more source

A robust optimal scheduling system based on multi-performance driving for complex manufacturing systems. [PDF]

Sci Rep, 2023
Yu Q, Zhang Y, Zhao H, Yu T, Li L.
europepmc   +1 more source

Evolving Many-Objective Job Shop Scheduling Dispatching Rules via Genetic Programming With Adaptive Search Based on the Frequency of Features

IEEE Access
Job Shop Scheduling (JSS) is a critical application in diverse fields, such as cloud computing and manufacturing. Genetic Programming (GP) is acknowledged for its wide use in evolving dispatching rules for JSS, offering an automated approach to heuristic
Atiya Masood, Mansoor Ebrahim, Fahad Najeeb, Syed Muhammad Daniyal   +3 more
doaj   +1 more source

Modeling ambulance dispatching rules for EMS-systems

, 2016
This thesis presents a study on efficient dispatching rules in ambulance dispatching. By efficient dispatching rules, we mean such dispatching rules that lower response times for priority 1 calls while keeping response times for priority 2 calls at an adequate level.
Knoops, Lorinde, Lundgren, Tilda
openaire   +1 more source

Learning dispatching rules via novel genetic programming with feature selection in energy-aware dynamic job-shop scheduling. [PDF]

Sci Rep, 2023
Sitahong A, Yuan Y, Li M, Ma J, Ba Z, Lu Y.   +5 more
europepmc   +1 more source

A Belief Rule Base with Fuzzy Reference Value for Wind Power Generation Forecasting

Machines
Wind power generation forecasting is a key technology for wind power projects. It directly determines the stability of grid integration and the accuracy of power dispatching.
Jing Wang, Bing Xu, Wei He, Manlin Chen, Meiqi Li   +4 more
doaj   +1 more source