Access the full text.
Sign up today, get DeepDyve free for 14 days.
Y. Park, Jung‐Min Yang (2013)
Scheduling of die casting operations including high-mix low-volume and line-type productionInternational Journal of Production Research, 51
V. Tsoukalas, St Mavrommatis, N Orfanoudakis, A Baldoukas (2004)
A study of porosity formation in pressure die casting using the Taguchi approachProceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 218
Y. Park, J. Yang (2011)
Enhancing the efficiency of a die casting process using scrap recycling and ingot adjustmentProceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 225
K. Deb, Abbadi Reddy, Gulshan Singh (2003)
Optimal Scheduling of Casting Sequence Using Genetic AlgorithmsMaterials and Manufacturing Processes, 18
J. Yang, Y. Park (2009)
Scheduling of casting in real foundries using linear programmingProceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 223
A. Sabau, E. Hatfield (2007)
Measurement of heat flux and heat transfer coefficient due to spray application for the die casting processProceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 221
J. Milroy, Srichand Hinduja, K. Davey (1998)
Modelling the pressure die casting process with the boundary element method: Die deformation model for flash preventionProceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 212
Alan Kaye (1982)
Chapter 21 – The metallurgy of die casting machines
Y. Park, Jung‐Min Yang (2011)
Maximizing average efficiency of process time for pressure die casting in real foundriesThe International Journal of Advanced Manufacturing Technology, 53
K. Deb, Abbadi Reddy (2003)
Large-Scale Scheduling of Casting Sequences Using a Customized Genetic Algorithm
S. Kalpakjian (1984)
Manufacturing Processes for Engineering Materials
K. Anastasiou (2002)
Optimization of the aluminium die casting process based on the Taguchi methodProceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 216
A. Norwood, P. Dickens, R. Soar, R. Harris (2007)
Surface temperature of tools during the high-pressure die casting of aluminiumProceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 221
J. Schey (1977)
Introduction to manufacturing processes
The linear programming model for die casting processes provides the optimal production plan that maximizes the average efficiency of melting furnaces. In this article, we address supplementary production in linear programming scheduling of die casting processes. Since a real die casting campaign is subject to a variety of potential malfunctions, there may exist defective items among final cast products, thus failing to match the quantities of customer orders. The objective of this study is to propose a novel scheme of preventing product shortage by manufacturing additional cast products associated with the result of the linear programming model. In particular, supplementary production is practicable by utilizing the residue of molten alloy and cast scraps or remnants available in each shift. The sequence of casting shifts is also adjusted for facilitating this supplementary production. The proposed scheme does not alter any part of the original scheduling result of the linear programming model. A numerical experiment is conducted using real foundry data to validate integrity and performance of the proposed scheme.
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture – SAGE
Published: Jun 1, 2013
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.