@inproceedings{3010230dcb384d40960c91cd779ba287,
title = "GA based algorithm for staff scheduling considering learning-forgetting effect",
abstract = "Learning-forgetting effect reflects productivity changes related to the increment of experience cumulated by previous production volume, which is a critical issue for production efficiency analysis. This paper proposes a GA based staff scheduling methodology for solving personnel efficiency problem caused by learning-forgetting effect, aiming at obtaining scheduling solution in both parallel and serial systems. Individual capability is modeled considering his/her initial and maximum capabilities, as well as learning/forgetting rates on corresponding tasks. Two experiments are designed in scenarios for parallel and serial production lines and strategies of staff scheduling are generated considering learning-forgetting phenomenon. Simulation results illustrate the effectiveness of the proposed methodology.",
keywords = "Genetic algorithm, Learning-forgetting Effect, Staff scheduling",
author = "Yan, \{Ji Hong\} and Wang, \{Zi Mo\}",
year = "2011",
doi = "10.1109/IEEM.2011.6035120",
language = "英语",
isbn = "9781612844473",
series = "2011 IEEE 18th International Conference on Industrial Engineering and Engineering Management, IE and EM 2011",
number = "PART 1",
pages = "122--126",
booktitle = "2011 IEEE 18th International Conference on Industrial Engineering and Engineering Management, IE and EM 2011",
edition = "PART 1",
note = "2011 IEEE 18th International Conference on Industrial Engineering and Engineering Management, IE and EM 2011 ; Conference date: 03-09-2011 Through 05-09-2011",
}