ZORC, Samo ;NOE, Dragica . The HAP Heuristic System for Assembly-Operation Sequence Planning. Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 49, n.1, p. 5-15, july 2017. ISSN 0039-2480. Available at: <https://www.sv-jme.eu/sl/article/the-hap-heuristic-system-for-assembly-operation-sequence-planning/>. Date accessed: 20 dec. 2024. doi:http://dx.doi.org/.
Zorc, S., & Noe, D. (2003). The HAP Heuristic System for Assembly-Operation Sequence Planning. Strojniški vestnik - Journal of Mechanical Engineering, 49(1), 5-15. doi:http://dx.doi.org/
@article{.,
author = {Samo Zorc and Dragica Noe},
title = {The HAP Heuristic System for Assembly-Operation Sequence Planning},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {49},
number = {1},
year = {2003},
keywords = {assembly planning; assembly sequence planning; AND-OR graphs; heuristic algorithms; },
abstract = {The assembly-operation sequence-determination process is a part of the computer-aided assemblyplanning system. Computer-aided assembly-sequence planning decisions are based on the productassembly description and the relations between parts. The space relations between product parts are directly related to the movement geometry during the assembly process, and so for the assembly sequence determination a description of the space relation between the product parts can be used. The space of all possible assembly sequences is represented by an AND/OR graph. The graph is searched for the best sequence using a variant of the AO* heuristic algorithm. Assembly sequences are evaluated with respect to geometry feasibility, stability and modularity. To cope with the flexibility, efficient algorithms for generating and searching the problem space were developed and used. Empirical evaluations show the system can deal with real-world assemblies.},
issn = {0039-2480}, pages = {5-15}, doi = {},
url = {https://www.sv-jme.eu/sl/article/the-hap-heuristic-system-for-assembly-operation-sequence-planning/}
}
Zorc, S.,Noe, D. 2003 July 49. The HAP Heuristic System for Assembly-Operation Sequence Planning. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 49:1
%A Zorc, Samo %A Noe, Dragica %D 2003 %T The HAP Heuristic System for Assembly-Operation Sequence Planning %B 2003 %9 assembly planning; assembly sequence planning; AND-OR graphs; heuristic algorithms; %! The HAP Heuristic System for Assembly-Operation Sequence Planning %K assembly planning; assembly sequence planning; AND-OR graphs; heuristic algorithms; %X The assembly-operation sequence-determination process is a part of the computer-aided assemblyplanning system. Computer-aided assembly-sequence planning decisions are based on the productassembly description and the relations between parts. The space relations between product parts are directly related to the movement geometry during the assembly process, and so for the assembly sequence determination a description of the space relation between the product parts can be used. The space of all possible assembly sequences is represented by an AND/OR graph. The graph is searched for the best sequence using a variant of the AO* heuristic algorithm. Assembly sequences are evaluated with respect to geometry feasibility, stability and modularity. To cope with the flexibility, efficient algorithms for generating and searching the problem space were developed and used. Empirical evaluations show the system can deal with real-world assemblies. %U https://www.sv-jme.eu/sl/article/the-hap-heuristic-system-for-assembly-operation-sequence-planning/ %0 Journal Article %R %& 5 %P 11 %J Strojniški vestnik - Journal of Mechanical Engineering %V 49 %N 1 %@ 0039-2480 %8 2017-07-07 %7 2017-07-07
Zorc, Samo, & Dragica Noe. "The HAP Heuristic System for Assembly-Operation Sequence Planning." Strojniški vestnik - Journal of Mechanical Engineering [Online], 49.1 (2003): 5-15. Web. 20 Dec. 2024
TY - JOUR AU - Zorc, Samo AU - Noe, Dragica PY - 2003 TI - The HAP Heuristic System for Assembly-Operation Sequence Planning JF - Strojniški vestnik - Journal of Mechanical Engineering DO - KW - assembly planning; assembly sequence planning; AND-OR graphs; heuristic algorithms; N2 - The assembly-operation sequence-determination process is a part of the computer-aided assemblyplanning system. Computer-aided assembly-sequence planning decisions are based on the productassembly description and the relations between parts. The space relations between product parts are directly related to the movement geometry during the assembly process, and so for the assembly sequence determination a description of the space relation between the product parts can be used. The space of all possible assembly sequences is represented by an AND/OR graph. The graph is searched for the best sequence using a variant of the AO* heuristic algorithm. Assembly sequences are evaluated with respect to geometry feasibility, stability and modularity. To cope with the flexibility, efficient algorithms for generating and searching the problem space were developed and used. Empirical evaluations show the system can deal with real-world assemblies. UR - https://www.sv-jme.eu/sl/article/the-hap-heuristic-system-for-assembly-operation-sequence-planning/
@article{{}{.},
author = {Zorc, S., Noe, D.},
title = {The HAP Heuristic System for Assembly-Operation Sequence Planning},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {49},
number = {1},
year = {2003},
doi = {},
url = {https://www.sv-jme.eu/sl/article/the-hap-heuristic-system-for-assembly-operation-sequence-planning/}
}
TY - JOUR AU - Zorc, Samo AU - Noe, Dragica PY - 2017/07/07 TI - The HAP Heuristic System for Assembly-Operation Sequence Planning JF - Strojniški vestnik - Journal of Mechanical Engineering; Vol 49, No 1 (2003): Strojniški vestnik - Journal of Mechanical Engineering DO - KW - assembly planning, assembly sequence planning, AND-OR graphs, heuristic algorithms, N2 - The assembly-operation sequence-determination process is a part of the computer-aided assemblyplanning system. Computer-aided assembly-sequence planning decisions are based on the productassembly description and the relations between parts. The space relations between product parts are directly related to the movement geometry during the assembly process, and so for the assembly sequence determination a description of the space relation between the product parts can be used. The space of all possible assembly sequences is represented by an AND/OR graph. The graph is searched for the best sequence using a variant of the AO* heuristic algorithm. Assembly sequences are evaluated with respect to geometry feasibility, stability and modularity. To cope with the flexibility, efficient algorithms for generating and searching the problem space were developed and used. Empirical evaluations show the system can deal with real-world assemblies. UR - https://www.sv-jme.eu/sl/article/the-hap-heuristic-system-for-assembly-operation-sequence-planning/
Zorc, Samo, AND Noe, Dragica. "The HAP Heuristic System for Assembly-Operation Sequence Planning" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 49 Number 1 (07 July 2017)
Strojniški vestnik - Journal of Mechanical Engineering 49(2003)1, 5-15
© The Authors, CC-BY 4.0 Int. Change in copyright policy from 2022, Jan 1st.
The assembly-operation sequence-determination process is a part of the computer-aided assemblyplanning system. Computer-aided assembly-sequence planning decisions are based on the productassembly description and the relations between parts. The space relations between product parts are directly related to the movement geometry during the assembly process, and so for the assembly sequence determination a description of the space relation between the product parts can be used. The space of all possible assembly sequences is represented by an AND/OR graph. The graph is searched for the best sequence using a variant of the AO* heuristic algorithm. Assembly sequences are evaluated with respect to geometry feasibility, stability and modularity. To cope with the flexibility, efficient algorithms for generating and searching the problem space were developed and used. Empirical evaluations show the system can deal with real-world assemblies.