Exact and Heuristic Approaches for the Production Planning Problem of a Paper Mill Company
نویسندگان
چکیده
In this paper, we consider a multi-staged two-dimensional cutting stock problem (CSP) in a paper industry. Paper production relies on the sequential processes of various large machines (pulp preparation, paper formation, winding, and sheet cutting), which has various machine related constraints. In addition, there are the operational constraints from the real-world situation. The problem is modelled as a mixed linear integer programming and solved by a heuristic algorithm. Computational experiments are conducted using the test data sets, which are generated based on the real-world data from a large paper mill company. The computational results show the effectiveness of our proposed algorithm.
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