USE OF MULTICRITERIAL OPTIMIZATION IN FURNITURE MANUFACTURING PROCESS
Grzegorz Kłosowski
g.klosowski@pollub.plPolitechnika Lubelska, Katedra Organizacji Przedsiębiorstwa (Poland)
Edward Kozłowski
Politechnika Lubelska, Katedra Metod Ilościowych w Zarządzaniu (Poland)
Abstract
This paper concerns the use of integer linear programming in a multi-criteria optimization. The aim of the research was to develop a model of the decision support system allowing simultaneous minimization of the intermediate products stocks level and waste generated in the process of cutting. The goal of controller was to select the appropriate cutting program, including production orders, the current inventory and limits on permissible stocks levels.
Keywords:
process industry, decision support systems, integer linear programming, computer simulationReferences
Arbib C., Marinelli F., Ventura P.: One-dimensional cutting stock with a limited number of open stacks: bounds and solutions from a new integer linear programming model. International Transactions in Operational Research 23(1–2), 2016, 47–63.
Google Scholar
Bredström D., et al.: A mixed integer linear programming model applied in barge planning for Omya. Operations Research Perspectives 2/2015, 150–155.
Google Scholar
Catanzaro D., Engelbeen C.: An Integer Linear Programming Formulation for the Minimum Cardinality Segmentation Problem. Algorithms 8(4)/2015, 999–1020.
Google Scholar
Cherri L. H., et al.: Robust mixed-integer linear programming models for the irregular strip packing problem. European Journal of Operational Research 253(3)/2016, 570–583.
Google Scholar
Fischetti M., Monaci M., Salvagnin D.: Mixed-integer linear programming heuristics for the prepack optimization problem. Discrete Optimization 22 Part A, 2016, 195–205 [doi: 10.1016/j.disopt.2015.03.004].
Google Scholar
Hiller F., Lieberman G.: Introduction to Operational Research. McGraw-Hill Publishing Company, 1986.
Google Scholar
Kłosowski G.: Zastosowanie symulacji komputerowej w sterowaniu przepływem produkcji mebli, Zarządzanie Przedsiębiorstwem 2, 2011, 29–37.
Google Scholar
Mansini R., Ogryczak W., Speranza M. G.: Twenty years of linear programming based portfolio optimization. European Journal of Operational Research 234(2)/2014, 518–535.
Google Scholar
Martinovic J., Scheithauer G.: Integer linear programming models for the skiving stock problem. European Journal of Operational Research, 251(2)/2016, 356–368.
Google Scholar
Mula J., et al.: An integer linear programming model to support customer-driven material planning in synchronised, multi-tier supply chains. International Journal of Production Research 52(14)/2014, 4267–4278.
Google Scholar
Sadati M. E. H., Nematian J.: Two-level linear programming for fuzzy random portfolio optimization through possibility and necessity-based model. Procedia Economics and Finance 5/2013, 657–666.
Google Scholar
Upadhyay A., Bolia N. B.: An optimization based decision support system for integrated planning and scheduling on dedicated freight corridors. International Journal of Production Research 52(24)/2014, 7416–7435.
Google Scholar
Authors
Grzegorz Kłosowskig.klosowski@pollub.pl
Politechnika Lubelska, Katedra Organizacji Przedsiębiorstwa Poland
Authors
Edward KozłowskiPolitechnika Lubelska, Katedra Metod Ilościowych w Zarządzaniu Poland
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