MILP was used to optimise raw material usage and to ensure the quality of recycled aluminium products. (ref: case Kuusakoski)

Project title	MILP was used to optimise raw material usage and to ensure the quality of recycled aluminium products. (ref: case Kuusakoski)
User company name	Kuusakoski
Industry sector	Metals Industry
Production process type	Cast aluminium alloys, aluminium refinery
Application area	Production Optimisation
Employees	500-2000
Year the project started	2003
Supplier of service	HUT System analysis laboratory Linko to supplier: http://www.sal.hut.fi/
Pay-back time in months	N/A
Type of simulation used	Optimisation Algorithms
Short description of the project	Kuusakoski Oy supplies and refines industrial recycled metal. The cast aluminium alloys are produced by mixing melted recycle aluminium with pure aluminium to get needed product purity. At Heinola aluminium refinery problems were occurred by varying raw material. Mixed Integer Linear Programming (MILP) was used to optimise the raw material usage and to manage the recipe mixture ratio. Link to success story http://akseli.tekes.fi/dman/Document.phx?documentId=ey24803103754486&cmd=download
Soft Benefits	N/A
Public quantitative benefits	The benefits included 2 % (1 M€) savings in raw material costs and the increase of recycle raw material usage from 35 % of total aluminium usage to 50 %. The savings were resulted in by savings in recycled raw material costs and reduced amount of too impure batches that need to be rehandled.


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