@inproceedings{3402be934b954d78bf90e9d16641288e,
title = "Optimizing capacity assignment of multiple identical metrology tools",
abstract = "In modern semiconductor manufacturing facilities, metrology capacity is becoming limited because of the high equipment cost. This paper studies the problem of optimally assigning the capacity of multiple identical metrology tools in order to minimize the risk of defective wafers on heterogeneous production machines. We assume that the output of each production machine is assigned to only one metrology tool. The resulting problem is formulated as a Multiple Choice Multiple Knapsack Problem (MCMKP), which combines the Multiple Choice Knapsack Problem and the Multiple Knapsack Problem and does not appear to have been studied in the literature. A greedy heuristic and an improving heuristic are also proposed. Numerical experiments are performed on randomly generated instances to analyze and compare the solutions of the heuristics with solutions obtained with a standard solver.",
author = "St{\'e}phane Dauz{\`e}re-P{\'e}r{\`e}s and Michael Hassoun and Alejandro Sendon",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 Winter Simulation Conference, WSC 2016 ; Conference date: 11-12-2016 Through 14-12-2016",
year = "2016",
month = jul,
day = "2",
doi = "10.1109/WSC.2016.7822308",
language = "English",
series = "Proceedings - Winter Simulation Conference",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "2709--2718",
editor = "Roeder, {Theresa M.} and Frazier, {Peter I.} and Robert Szechtman and Enlu Zhou",
booktitle = "2016 Winter Simulation Conference",
address = "United States",
}
