@inproceedings{436c8bf3fe68436692f57172961185ea,
title = "A decision-making approach to field service delivery under mixed maintenance policy",
abstract = "Maintenance service delivery for large-scale equipment has been studied for decades and is becoming a crucial way for equipment manufacturers to obtain profit and competitiveness. To delivery maintenance service, equipment manufacturers need to optimal delivery plans with considering of various constraints (e.g. maintenance policy, service capacities, service costs) as well as maintenance type. This study proposed a mathematical model and algorithm-based approach to solving a maintenance service decision-making problem in the mixed maintenance policy context and to assess its performance. The mathematical model was constructed with the constraints of technician number, skill level, maintenance time windows, and maintenance policy. A hybrid algorithm of simulated annealing algorithm (SA) and genetic algorithm (GA) is proposed to solve this practical maintenance service delivery problem. A case study of agricultural equipment maintenance demonstrated that the proposed methods are effective and the algorithms can provide reasonable solutions within an acceptable computational time. Our approach is effective and can be utilized to improve the performance of maintenance service decision-making for the mixed policy.",
keywords = "Decision-making, Maintenance, Mixed maintenance policy, Service delivery",
author = "Rui Zhou and Yaoguang Hu and Shasha Xiao and Jingqian Wen",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 11th IEEE Conference on Industrial Electronics and Applications, ICIEA 2016 ; Conference date: 05-06-2016 Through 07-06-2016",
year = "2016",
month = oct,
day = "19",
doi = "10.1109/ICIEA.2016.7603740",
language = "English",
series = "Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1068--1072",
booktitle = "Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016",
address = "United States",
}