MATEC Web Conf.
Volume 112, 201721st Innovative Manufacturing Engineering & Energy International Conference – IManE&E 2017
|Number of page(s)||6|
|Section||CAD/CAM/CAE/CAX Technologies, Manufacturing Optimization|
|Published online||03 July 2017|
Ant colony optimisation for scheduling of flexible job shop with multi-resources requirements
1 Silesian University of Technology, Faculty of Mechanical Engineering, Institute of Engineering Processes Automation and Integrated Manufacturing Systems, Konarskiego 18A, 44-100 Gliwice, Poland
2 Silesian University of Technology, Faculty of Applied Mathematics, Institute of Mathematics, Kaszubska 23, 44-100 Gliwice, Poland
* Corresponding author: firstname.lastname@example.org
The paper presents application of ant colony optimisation algorithm for scheduling multi-resources operations in flexible job shop type of production systems. Operations that require the participation of two or more resources are common in industrial practice, when planning are subject not only machines, but also other additional resources (personnel, tools, etc.). Resource requirements of operation are indicated indirectly by resource groups. The most important parameters of the resource model and resource groups are also described. A basic assumptions for ant colony algorithm used for scheduling in the considered model with multiresources requirements of operations is discussed. The main result of the research is the schema of metaheuristic that enables searching best-score solutions in manufacturing systems satisfying presented constraints.
© The Authors, published by EDP Sciences, 2017
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.
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