Abstract
A manufacturing system for discrete part production under flexible process routings is studied for the reduction of cost and energy. Focus is centered on the process planning stage for product manufacture, i.e. machine tool selection. Machine tool scheduling was implemented in a discrete-event simulation environment for the evaluation of several scenarios in which the number of machines tools in a manufacturing cell was varied. Cost was found to be dominated by labor rate and processing time, whereas the energy consumption for the best case scenario was reduced by 8.5% for the production of 1000 parts.
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Diaz, N., Dornfeld, D. (2012). Cost and Energy Consumption Optimization of Product Manufacture in a Flexible Manufacturing System. In: Dornfeld, D., Linke, B. (eds) Leveraging Technology for a Sustainable World. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29069-5_70
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DOI: https://doi.org/10.1007/978-3-642-29069-5_70
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29068-8
Online ISBN: 978-3-642-29069-5
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