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A two-objective mathematical model without cutting patterns for one-dimensional assortment problems
Authors:Nergiz KasimbeyliTugba Sarac  Refail Kasimbeyli
Institution:
  • a Industrial Engineering Department, Eskisehir Osmangazi University, Meselik, Eskisehir, Turkey
  • b Department of Industrial Systems Engineering, Izmir University of Economics, Sakarya Caddesi 156, Balcova 35330, Izmir, Turkey
  • Abstract:This paper considers a one-dimensional cutting stock and assortment problem. One of the main difficulties in formulating and solving these kinds of problems is the use of the set of cutting patterns as a parameter set in the mathematical model. Since the total number of cutting patterns to be generated may be very huge, both the generation and the use of such a set lead to computational difficulties in solution process. The purpose of this paper is therefore to develop a mathematical model without the use of cutting patterns as model parameters. We propose a new, two-objective linear integer programming model in the form of simultaneous minimization of two contradicting objectives related to the total trim loss amount and the total number of different lengths of stock rolls to be maintained as inventory, in order to fulfill a given set of cutting orders. The model does not require pre-specification of cutting patterns. We suggest a special heuristic algorithm for solving the presented model. The superiority of both the mathematical model and the solution approach is demonstrated on test problems.
    Keywords:One-dimensional assortment problem  Cutting stock problem  Stock size selection  Trim loss minimization  Heuristic algorithm  Multi-objective optimization
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