Title :
Genetic algorithm with greedy heuristic for capacity planning
Author :
Kazakovtsev, Lev A. ; Gudyma, Mikhail N. ; Antamoshkin, Alexander N.
Author_Institution :
Inst. of Comput. Sci. & Telecommun., Siberian State Aerosp. Univ. named after M.F. Reshetnev, Krasnoyarsk, Russia
Abstract :
A problem of optimal capacity planning of the process production lines (foundry for example) in accordance with a given output plan is considered as a discrete location problem on a network. The problem takes into account the terms of output plan completion for each kind of product and constraints of distribution uniformity of the total daily volume of production. For solving the problem, we use the genetic algorithm with greedy heuristics based on a similar algorithm for the p-median problem. Solving example problems demonstrates the efficiency of the algorithm.
Keywords :
capacity planning (manufacturing); foundries; genetic algorithms; greedy algorithms; scheduling; discrete location problem; distribution uniformity; foundries; genetic algorithm; greedy heuristics; optimal capacity planning problem; output plan completion; p-median problem; process production lines; total daily production volume; Arrays; Genetic algorithms; Linear programming; Manufacturing; Production; Sociology; Statistics; discrete location problem; genetic algorithm; operations scheduling; p-median problem;
Conference_Titel :
Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2014 6th International Congress on
Conference_Location :
St. Petersburg
DOI :
10.1109/ICUMT.2014.7002170