@inproceedings{5a5f8be840a34fa4bbb9e47ae6c12e48,

title = "Application of genetic algorithms to semiconductor supply chain planning",

abstract = "One of the fundamental challenges of modeling a semiconductor supply chain has been to develop a computationally tractable model that can also reflect the non-linear Throughput Time (TPT) of manufacturing. The non-linear increase in throughput time can be modeled as a function of the input to the manufacturing facility. An efficient semiconductor production-planning algorithm has to capture the non-linear throughput time of production to avoid significant differences between the planned and realized output. In this paper we propose a Linear Programming (LP) and Genetic Algorithm (GA) framework to capture the non-linear nature of the TPT time in supply chain planning.",

keywords = "Genetic algorithm, Linear programming, Supply chain, Throughput time",

author = "Rama Chidambaram and Hans Armbruster",

year = "2005",

month = dec,

day = "1",

language = "English (US)",

isbn = "9781932415636",

series = "Proceedings of the 2005 International Conference on Algorithmic Mathematics and Computer Science, AMCS'05",

pages = "77--83",

booktitle = "Proceedings of the 2005 International Conference on Algorithmic Mathematics and Computer Science, AMCS'05",

note = "2005 International Conference on Algorithmic Mathematics and Computer Science, AMCS'05 ; Conference date: 20-06-2005 Through 23-06-2005",

}