Application of multi-agent planning to the assignment problem. Computers inIndustry 54 (2004) S. 273-290. Application of multi-agent planning to the assignment problem. Computers inIndustry 54 (2004) S. 273-290.
Nowadays, a globalization of national markets requires developing the flexible and demand-driven production systemswith new innovative concepts of management, information processing, production scheduling and planning. The presentedwork focuses on the low-level planning, where the multi-agent solution towards a ??job-machine?? assignment is considered. Themain point of the discussion is the flexibility of planning systems ensured by the concept of agent?s ??roles?? and ??emergencies??.Depending on the state of ??emergency??, the system receives stepwisely additional degrees of freedom to adapt the planning tothe changing conditions of the manufacturing floor. The distributed constraint satisfaction and optimization approaches,underlying the suggested method, as well as activities of rescue agents,are described in the form of Petri networks providingboth the conceptual notions and main details of implementation.
%0 Generic
%1 PrieseKornienkoKornienko2004
%A Priese, J.
%A Kornienko, O.
%A Kornienko, S.
%D 2004
%K Distributed Flexible ISW Multi-agent Petri Process manufacturing networks; optimization planning; system; systems;
%P --
%T Application of multi-agent planning to the assignment problem. Computers inIndustry 54 (2004) S. 273-290. Application of multi-agent planning to the assignment problem. Computers inIndustry 54 (2004) S. 273-290.
%X Nowadays, a globalization of national markets requires developing the flexible and demand-driven production systemswith new innovative concepts of management, information processing, production scheduling and planning. The presentedwork focuses on the low-level planning, where the multi-agent solution towards a ??job-machine?? assignment is considered. Themain point of the discussion is the flexibility of planning systems ensured by the concept of agent?s ??roles?? and ??emergencies??.Depending on the state of ??emergency??, the system receives stepwisely additional degrees of freedom to adapt the planning tothe changing conditions of the manufacturing floor. The distributed constraint satisfaction and optimization approaches,underlying the suggested method, as well as activities of rescue agents,are described in the form of Petri networks providingboth the conceptual notions and main details of implementation.
@misc{PrieseKornienkoKornienko2004,
__markedentry = {[xtl:6]},
abstract = {Nowadays, a globalization of national markets requires developing the flexible and demand-driven production systemswith new innovative concepts of management, information processing, production scheduling and planning. The presentedwork focuses on the low-level planning, where the multi-agent solution towards a ??job-machine?? assignment is considered. Themain point of the discussion is the flexibility of planning systems ensured by the concept of agent?s ??roles?? and ??emergencies??.Depending on the state of ??emergency??, the system receives stepwisely additional degrees of freedom to adapt the planning tothe changing conditions of the manufacturing floor. The distributed constraint satisfaction and optimization approaches,underlying the suggested method, as well as activities of rescue agents,are described in the form of Petri networks providingboth the conceptual notions and main details of implementation.},
added-at = {2016-03-03T09:53:12.000+0100},
author = {Priese, J. and Kornienko, O. and Kornienko, S.},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/286e27f2903495297eb9b3c6705755c16/isw-bibliothek},
interhash = {58b54d64592abdaadb49788e6d480cbe},
intrahash = {86e27f2903495297eb9b3c6705755c16},
keywords = {Distributed Flexible ISW Multi-agent Petri Process manufacturing networks; optimization planning; system; systems;},
pages = {--},
timestamp = {2016-03-03T09:18:35.000+0100},
title = {Application of multi-agent planning to the assignment problem. Computers inIndustry 54 (2004) S. 273-290. Application of multi-agent planning to the assignment problem. Computers inIndustry 54 (2004) S. 273-290.},
year = 2004
}
