Integrated process planning and scheduling using multi-agent methodology
Апстракт
Market growth and mass customization cause a need for a change in traditional manufacturing. Decentralized decision making and integration of process planning is necessary in order to become concurrent in the market. The paper presents decentralized decision making methodology using multi-agent systems. The model is used for integrated process planning and scheduling based on the minimum processing time under dynamic change of the environment. Two types of disturbance are used to represent the change: part arrival and machine breakdown. The proposed model comprises part agent, job agent, machine agent and optimization agent. Comparative analysis is conducted using simulation in AnyLogic software in order to verify the proposed approach.
Кључне речи:
Integrated process planning and scheduling (IPPS) / Decision-making / Multi-agent systems / Simulation in AnyLogic softwareИзвор:
Applied Mechanics and Materials, 2016, 834, 192-198-Финансирање / пројекти:
Колекције
Институција/група
Mašinski fakultetTY - JOUR AU - Petronijević, J AU - Petrović, Milica AU - Vuković, Najdan AU - Mitić, Marko AU - Babić, Bojan AU - Miljković, Zoran PY - 2016 UR - https://machinery.mas.bg.ac.rs/handle/123456789/3965 AB - Market growth and mass customization cause a need for a change in traditional manufacturing. Decentralized decision making and integration of process planning is necessary in order to become concurrent in the market. The paper presents decentralized decision making methodology using multi-agent systems. The model is used for integrated process planning and scheduling based on the minimum processing time under dynamic change of the environment. Two types of disturbance are used to represent the change: part arrival and machine breakdown. The proposed model comprises part agent, job agent, machine agent and optimization agent. Comparative analysis is conducted using simulation in AnyLogic software in order to verify the proposed approach. T2 - Applied Mechanics and Materials T1 - Integrated process planning and scheduling using multi-agent methodology SP - 192-198 VL - 834 DO - 10.4028/www.scientific.net/AMM.834.193 ER -
@article{ author = "Petronijević, J and Petrović, Milica and Vuković, Najdan and Mitić, Marko and Babić, Bojan and Miljković, Zoran", year = "2016", abstract = "Market growth and mass customization cause a need for a change in traditional manufacturing. Decentralized decision making and integration of process planning is necessary in order to become concurrent in the market. The paper presents decentralized decision making methodology using multi-agent systems. The model is used for integrated process planning and scheduling based on the minimum processing time under dynamic change of the environment. Two types of disturbance are used to represent the change: part arrival and machine breakdown. The proposed model comprises part agent, job agent, machine agent and optimization agent. Comparative analysis is conducted using simulation in AnyLogic software in order to verify the proposed approach.", journal = "Applied Mechanics and Materials", title = "Integrated process planning and scheduling using multi-agent methodology", pages = "192-198", volume = "834", doi = "10.4028/www.scientific.net/AMM.834.193" }
Petronijević, J., Petrović, M., Vuković, N., Mitić, M., Babić, B.,& Miljković, Z.. (2016). Integrated process planning and scheduling using multi-agent methodology. in Applied Mechanics and Materials, 834, 192-198. https://doi.org/10.4028/www.scientific.net/AMM.834.193
Petronijević J, Petrović M, Vuković N, Mitić M, Babić B, Miljković Z. Integrated process planning and scheduling using multi-agent methodology. in Applied Mechanics and Materials. 2016;834:192-198. doi:10.4028/www.scientific.net/AMM.834.193 .
Petronijević, J, Petrović, Milica, Vuković, Najdan, Mitić, Marko, Babić, Bojan, Miljković, Zoran, "Integrated process planning and scheduling using multi-agent methodology" in Applied Mechanics and Materials, 834 (2016):192-198, https://doi.org/10.4028/www.scientific.net/AMM.834.193 . .