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2021 | 12 | nr 1 | 119--128
Tytuł artykułu

A Method to Improve Planning of Product Placement on a Printing Sheet

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Major manufactures are moving towards a sustainability goal. This paper introduces the results of collaboration with the leading company in the packaging and advertising industry in Germany and Poland. The problem addresses the manufacturing planning problem in terms of minimizing the total cost of production. The challenge was to bring a new production planning method into cardboard manufacturing and paper processing which minimizes waste, improves the return of expenses, and automates daily processes heavily dependent on the production planners' experience. The authors developed a module that minimizes the total cost, which reduces the overproduction and is used by the company's manufacturing planning team. The proposed approach incorporates planning allowances rules to compromise the manufacturing requirements and production cost minimization. (original abstract)
Rocznik
Tom
12
Numer
Strony
119--128
Opis fizyczny
Twórcy
  • Wroclaw University of Economics and Business, Poland
  • Poznan University of Technology, Poland
  • Poznan University of Technology, Poland
Bibliografia
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  • De Antón J., Senovilla J., Varona J.M., and Acebes F. (2020). Production planning in 3D printing factories, International Journal of Production Management and Engineering, vol. 8, no. 75, pp. 75-86.
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  • Elaoud S., Teghem J., and Bouaziz B. (2007). Genetic algorithms to solve the cover printing problem, Comput. Oper. Res., vol. 34, no. 11, pp. 3346-3361.
  • Fazel Zarandi M.H., Sadat Asl A.A., Sotudian S., and Castillo O. (2020). A state of the art review of intelligent scheduling, Artif. Intell. Rev., vol. 53, no. 1, pp. 501-593.
  • Frits M. and Bertok B. (2020). Scheduling custom printed napkin manufacturing by P-graphs, Comput. Chem. Eng., vol. 141, pp. 1-19.
  • Hsieh Y.C. and You P.S. (2014), An Immune Evolutionary Approach for the Label Printing Problem, Int. J. Comput. Int. Sys., vol. 7, no. 3, pp. 515-523.
  • Jeng S.Y., Lin C.W., Tseng M.L., and Jantarakolica T. (2019). Cradle-to-cradle zero discharge production planning system for the pulp and paper industry using a fuzzy hybrid optimization model, Management of Environmental Quality: An International Journal, vol. 31, no. 3, pp. 645-663.
  • Karagul H.F., Warsing Jr. D.P., Hodgson T.J., Kapadia M.S., and Uzsoy R. (2018). A comparison of mixed integer programming formulations of the capacitated lot-sizing problem, Int. J. Prod. Res., vol. 56, no. 23, pp. 7064-7084.
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  • Kucukkoc I., Li Q., and Zhang D.Z. (2016). Increasing the utilisation of additive manufacturing and 3D printing machines considering order delivery times, 19th International Working Seminar on Production Economics, pp. 195-201. Retrieved from https://www.researchgate.net/publication/ 318373931_Increasing_the_utilisation_of_additive _manufacturing_and_3D_printing_machines_con sidering_order_delivery_times.
  • Kusiak, A. (2018). Smart manufacturing, Int. J. Prod. Res., vol. 56, no. 1-2, pp. 508-517.
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  • Oluyisola O.E., Sgarbossa F., and Strandhagen J.O. (2020). Smart production planning and control: Concept, use-cases and sustainability implications, Sustainability (Switzerland), vol. 12, no. 9.
  • Oztemel E. and Gursev S. (2020). Literature review of Industry 4.0 and related technologies, J. Intell. Manuf., Springer, vol. 31, pp. 127-182.
  • Romero D. and Alonso-Pecina F. (2012). Ad hoc heuristic for the cover printing problem, Discrete Optim., vol. 9, no. 1, pp. 17-28.
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  • Tsai W.H. (2018). Green production planning and control for the textile industry by using mathematical programming and industry 4.0 techniques, Energies, vol. 11, no. 8, doi: 10.3390/en11082072.
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  • Tuyttens D. and Vandaele A. (2010). Using a greedy random adaptative search procedure to solve the cover printing problem, Comput. Oper. Res., vol. 37, no. 4, pp. 640-648.
  • Yiu K.F.C., Mak K.L., and Lau H.Y.K. (2007). A heuristic for the label printing problem, Comput. Oper. Res., vol. 34, no. 9, pp. 2576-2588.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171616618

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