Agent-based Simulation for Creating Robust Plans and Schedules
Author(s) -
Peter Jankovič
Publication year - 2015
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2015.05.221
Subject(s) - computer science , robustness (evolution) , executable , schedule , scheduling (production processes) , distributed computing , operations research , mathematical optimization , real time computing , operating system , biochemistry , chemistry , mathematics , engineering , gene
The paper describes methods for constructing the robust schedules using agent-based simulation. The measure of robustness represents the resistance of the schedule to random phenomena and we present the method for calculating robustness of the schedule. The procedure for creating the robust schedule combines standard solutions for planning and scheduling with computer simulation. It is described in detail and allows creation an executable robust schedule. Three different procedures for increasing the robustness (by changing the order of allocation of resources, by changing a plan and increasing time reserves) are short explained. The presented techniques were tested using real detailed simulation model of an existing container terminal
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom