@inproceedings{2d0ec2303a7a417bb3c80b62e2150e88,
title = "Prediction of process time for early production planning purposes",
abstract = "The production ramp-up process is critical to stay competitive and to capture market share but there are some common problems encountered during ramp-up. Among others one problem is related to the maturity of the production processes, including unforeseen bottlenecks. This paper contributes to the production planning part of the ramp-up process by showing how to predict the process time for new parts that is to be introduced in an existing manufacturing environment. A statistical model based on historical product-data is applied and the potential advantages of the model are outlined.",
keywords = "Production planning, Ramp-up, Reconfigurable manufacturing systems, Regression, Regression, Ramp-up, Production planning, Reconfigurable manufacturing systems ",
author = "Mads Bejlegaard and Brunoe, {Thomas Ditlev} and Kjeld Nielsen",
year = "2015",
doi = "10.1007/978-3-319-22756-6_50",
language = "English",
isbn = "978-3-319-22755-9",
series = "IFIP Advances in Information and Communication Technology",
publisher = "Springer",
pages = "406--413",
booktitle = "Advances in Production Management Systems: Innovative Production Management Towards Sustainable Growth",
address = "Germany",
note = "IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2015 ; Conference date: 07-09-2015 Through 09-09-2015",
}