Integration of Process Planning and Scheduling Using Modified Particle Swarm Optimization Algorithm
Апстракт
Process planning and scheduling are two of the most important manufacturing functions which are usually performed sequentially in traditional approaches. Considering the fact that these functions are usually complementary, it is necessary to integrate them so as to improve performance of a manufacturing system. This paper conceptualizes a multi-agent methodology by considering four intelligent agents (job, machine, tool, and optimization agent) and presents developed modified particle swarm optimization (mPSO) algorithm to solve this combinatorial
optimization problem effectively. In order to improve the search efficiency and increase ability to find global optimum, proposed mPSO algorithm has been enhanced with new crossover and mutation operators. Experimental results show applicability of the proposed approach in solving integrated process planning and scheduling problem.
Кључне речи:
process planning / scheduling / integrated process planning and scheduling / modified particle swarm optimization / multi-agent systemИзвор:
Proceedings of the 5th International Conference on Manufacturing Engineering (ICMEN 2014), 2014, 109-118Издавач:
- The Aristotle University of Thessaloniki
Финансирање / пројекти:
- Иновативни приступ у примени интелигентних технолошких система за производњу делова од лима заснован на еколошким принципима (RS-MESTD-Technological Development (TD or TR)-35004)
Колекције
Институција/група
Mašinski fakultetTY - CONF AU - Petrović, Milica AU - Miljković, Zoran AU - Vuković, Najdan AU - Babić, Bojan AU - Petronijević, Jelena PY - 2014 UR - https://machinery.mas.bg.ac.rs/handle/123456789/4420 AB - Process planning and scheduling are two of the most important manufacturing functions which are usually performed sequentially in traditional approaches. Considering the fact that these functions are usually complementary, it is necessary to integrate them so as to improve performance of a manufacturing system. This paper conceptualizes a multi-agent methodology by considering four intelligent agents (job, machine, tool, and optimization agent) and presents developed modified particle swarm optimization (mPSO) algorithm to solve this combinatorial optimization problem effectively. In order to improve the search efficiency and increase ability to find global optimum, proposed mPSO algorithm has been enhanced with new crossover and mutation operators. Experimental results show applicability of the proposed approach in solving integrated process planning and scheduling problem. PB - The Aristotle University of Thessaloniki C3 - Proceedings of the 5th International Conference on Manufacturing Engineering (ICMEN 2014) T1 - Integration of Process Planning and Scheduling Using Modified Particle Swarm Optimization Algorithm EP - 118 SP - 109 UR - https://hdl.handle.net/21.15107/rcub_machinery_4420 ER -
@conference{ author = "Petrović, Milica and Miljković, Zoran and Vuković, Najdan and Babić, Bojan and Petronijević, Jelena", year = "2014", abstract = "Process planning and scheduling are two of the most important manufacturing functions which are usually performed sequentially in traditional approaches. Considering the fact that these functions are usually complementary, it is necessary to integrate them so as to improve performance of a manufacturing system. This paper conceptualizes a multi-agent methodology by considering four intelligent agents (job, machine, tool, and optimization agent) and presents developed modified particle swarm optimization (mPSO) algorithm to solve this combinatorial optimization problem effectively. In order to improve the search efficiency and increase ability to find global optimum, proposed mPSO algorithm has been enhanced with new crossover and mutation operators. Experimental results show applicability of the proposed approach in solving integrated process planning and scheduling problem.", publisher = "The Aristotle University of Thessaloniki", journal = "Proceedings of the 5th International Conference on Manufacturing Engineering (ICMEN 2014)", title = "Integration of Process Planning and Scheduling Using Modified Particle Swarm Optimization Algorithm", pages = "118-109", url = "https://hdl.handle.net/21.15107/rcub_machinery_4420" }
Petrović, M., Miljković, Z., Vuković, N., Babić, B.,& Petronijević, J.. (2014). Integration of Process Planning and Scheduling Using Modified Particle Swarm Optimization Algorithm. in Proceedings of the 5th International Conference on Manufacturing Engineering (ICMEN 2014) The Aristotle University of Thessaloniki., 109-118. https://hdl.handle.net/21.15107/rcub_machinery_4420
Petrović M, Miljković Z, Vuković N, Babić B, Petronijević J. Integration of Process Planning and Scheduling Using Modified Particle Swarm Optimization Algorithm. in Proceedings of the 5th International Conference on Manufacturing Engineering (ICMEN 2014). 2014;:109-118. https://hdl.handle.net/21.15107/rcub_machinery_4420 .
Petrović, Milica, Miljković, Zoran, Vuković, Najdan, Babić, Bojan, Petronijević, Jelena, "Integration of Process Planning and Scheduling Using Modified Particle Swarm Optimization Algorithm" in Proceedings of the 5th International Conference on Manufacturing Engineering (ICMEN 2014) (2014):109-118, https://hdl.handle.net/21.15107/rcub_machinery_4420 .