%0 Conference Proceedings
%T Prediction of Process Time for Early Production Planning Purposes
%+ Aalborg University [Denmark] (AAU)
%A Bejlegaard, Mads
%A Brunoe, Thomas, Ditlev
%A Nielsen, Kjeld
%Z Part 3: Knowledge Based Production Management
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B IFIP International Conference on Advances in Production Management Systems (APMS)
%C Tokyo, Japan
%Y Shigeki Umeda
%Y Masaru Nakano
%Y Hajime Mizuyama
%Y Nironori Hibino
%Y Dimitris Kiritsis
%Y Gregor von Cieminski
%3 Advances in Production Management Systems: Innovative Production Management Towards Sustainable Growth
%V AICT-459
%N Part I
%P 406-413
%8 2015-09-07
%D 2015
%R 10.1007/978-3-319-22756-6_50
%K Regression
%K Ramp-up
%K Production planning
%K Reconfigurable manufacturing systems
%Z Computer Science [cs]Conference papers
%X 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.
%G English
%Z TC 5
%Z WG 5.1
%2 https://hal.science/hal-01417520/document
%2 https://hal.science/hal-01417520/file/346972_1_En_50_Chapter.pdf
%L hal-01417520
%U https://hal.science/hal-01417520
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-TC5
%~ IFIP-WG
%~ IFIP-APMS
%~ IFIP-WG5-1
%~ IFIP-AICT-459