| Issue |
BIO Web Conf.
Volume 10, 2018
Contemporary Research Trends in Agricultural Engineering
|
|
|---|---|---|
| Article Number | 02009 | |
| Number of page(s) | 7 | |
| Section | Engineering and Technology | |
| DOI | https://doi.org/10.1051/bioconf/20181002009 | |
| Published online | 26 March 2018 | |
The concept of algorithm supporting the process of scheduling production tasks
University of Agriculture, Faculty o Production and Power Engineering, Department of Mechanical Engineering and Agrophysics, Balicka 120, 30-149 Kraków, Poland
* Corresponding author: adrian.knapczyk91@gmail.com
The purpose of the work was to develop a concept of an algorithm which supports the process of scheduling production tasks. The designed algorithm performs a task queue creation process in six steps: selecting a schedule type, declaring a queue length, selecting orders for queue development, loading data, automatic job analysis, and queue and Gantt chart generation, taking a decision on the acceptance of the designed production program. The designed system will use single-attribute priority rules (defined by experts) and multi-attribute rules that can be created by combining single-attribute rules. The concept of an algorithm that supports the process of scheduling production tasks, developed and tested by conducting simulations, can be the basis for developing a computer application supporting decision-making process in a manufacturing or service company.
Key words: task scheduling / priority rules / task queuing algorithm / optimization / scheduling problem
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.