International Conference on Computer and Automation Engineering, 4th (ICCAE 2012)
42 Dynamic One-Dimensional Cutting Stock Optimization and the Generation of Leftovers
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The main objective of any cutting stock optimization is to meet the demand (orders) and to find the cutting plan with the lowest trim loss at a given time. When the cutting stock optimization is viewed as continuous activity, which involves more than one order, the trim loss can be further reduced by returning specific leftovers back to stock and reusing them in subsequent orders. These problems are known as cutting stock problems with usable leftovers (CSPUL) and are found in various industries, inter alia in the field of nanotechnology where matter on atomic, molecular and cellular scale is manipulated....