Development of a Tool Cost Optimization Model for Stochastic Demand of Machined Products

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ISSN Print: 2152-7385
ISSN Online: 2152-7393
www.scirp.org/journal/am
E-mail: am@scirp.org

"Development of a Tool Cost Optimization Model for Stochastic Demand of Machined Products"
written by Francisco G. Pantoja, Victor Songmene, Jean-Pierre Kenné, Oluwole A. Olufayo, Michael Ayomoh,
published by Applied Mathematics, Vol.9 No.12, 2018

has been cited by the following article(s):

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[1]	An integrated framework for a multi-material surface roughness prediction model in CNC turning using theoretical and machine learning methods The International Journal of Advanced Manufacturing Technology, 2024 DOI:10.1007/s00170-024-13201-x

[2]	APPLICATION OF INTEGRATED TAGUCHI METHOD AND PRESENT-WORTH METHOD TO OPTIMIZE THE TURNING PARAMETERS OF INCONEL X750 ALLOY WITH AL2O3 NANOFLUID IN COCONUT OIL Kufa Journal of Engineering, 2023 DOI:10.30572/2018/KJE/140206

[3]	Modelling for cost and productivity optimisation in sustainable manufacturing: a case of dry versus wet machining of mould steels International Journal of Production Research, 2021 DOI:10.1080/00207543.2020.1778207

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