Ant colony optimisation for scheduling of flexible job shop with multi-resources requirements

• Main Authors: Kalinowski Krzysztof, Krenczyk Damian, Paprocka Iwona, Kempa Wojciech M., Grabowik Cezary
• Format: Article
• Language: English
• Published: EDP Sciences 2017-01-01
• Series: MATEC Web of Conferences
• Online Access: https://doi.org/10.1051/matecconf/201711206018

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.