Open Access
Issue
RAIRO-Oper. Res.
Volume 55, Number 4, July-August 2021
Page(s) 2491 - 2524
DOI https://doi.org/10.1051/ro/2021107
Published online 25 August 2021
  • K.A.G. Araújo, T.O. Bonates, B.A. Prata and A.R. Pitombeira-Neto, Heterogeneous prestressed precast beams multiperiod production planning problem: modeling and solution methods. TOP 29 (2021) 660–693. [CrossRef] [Google Scholar]
  • M.N. Arenales, A.C. Cherri, D.N. do Nascimento and A. Vianna, A new mathematical model for the cutting stock/leftover problem. Pesquisa Operacional 35 (2015) 509–522. [CrossRef] [Google Scholar]
  • B. Athayde Prata, A.R. Pitombeira Neto and C.J. Moraes Sales, An integer linear programming model for the multiperiod production planning of precast concrete beams. J. Constr. Eng. Manage. 141 (2015) 1–4. [CrossRef] [Google Scholar]
  • N. Beldiceanu and M. Carlsson, Global constraint catalog (Nov 2018). [Google Scholar]
  • C. Börgers, Mathematics of Social Choice: Voting, Compensation, and Division. Society for Industrial and Applied Mathematics (SIAM) (2010). [CrossRef] [Google Scholar]
  • P.F. de Aguiar, B. Bourguignon, M.S. Khots, D.L. Massart and R. Phan-Than-Luu, D-optimal designs. Chemom. Intell. Lab. Syst. 30 (1995) 199–210. [CrossRef] [Google Scholar]
  • V.C. de Castilho, M.K. El Debs and M. do Carmo Nicoletti, Using a modified genetic algorithm to minimize the production costs for slabs of precast prestressed concrete joists. Eng. App. Artif. Intell. 20 (2007) 519–530. [CrossRef] [Google Scholar]
  • H. Dyckhoff, A typology of cutting and packing problems. Eur. J. Oper. Res. 44 (1990) 145–159. [CrossRef] [Google Scholar]
  • M. Gholami, M. Zandieh and A. Alem-Tabriz, Scheduling hybrid flow shop with sequence-dependent setup times and machines with random breakdowns. Int. J. Adv. Manuf. Technol. 42 (2009) 189–201. [CrossRef] [Google Scholar]
  • P.C. Gilmore and R.E. Gomory, A linear programming approach to the cutting-stock problem. Oper. Res. 9 (1961) 849–859. [CrossRef] [Google Scholar]
  • P.C. Gilmore and R.E. Gomory, A linear programming approach to the cutting stock problem – part II. Oper. Res. 11 (1963) 863–888. [CrossRef] [Google Scholar]
  • R.T. Marler and J.S. Arora, Survey of multi-objective optimization methods for engineering. Struct. Multi. Optim. 26 (2004) 369–395. [CrossRef] [Google Scholar]
  • G.M. Melega, S.A. de Araújo and R. Jans, Classification and literature review of integrated lot-sizing and cutting stock problems. Eur. J. Oper. Res. 271 (2018) 1–19. [CrossRef] [Google Scholar]
  • D.C. Montgomery, Design and Analysis of Experiments. John Wiley & Sons (2017). [Google Scholar]
  • J.J. Pignatiello Jr, An overview of the strategy and tactics of taguchi. IIE Trans. 20 (1988) 247–254. [CrossRef] [Google Scholar]
  • K.C. Poldi and M.N. Arenales, O problema de corte de estoque unidimensional multiperodo. Pesquisa Operacional 30 (2010) 153–174. [CrossRef] [Google Scholar]
  • C.D.A. Signorini, S.A. de Araújo and G.M. Melega, One-dimensional multi-period cutting stock problems in the concrete industry. Int. J. Prod. Res. (2021) 1–18. DOI:10.1080/00207543.2021.1890261. [CrossRef] [Google Scholar]
  • H. Stadtler, A one-dimensional cutting stock problem in the aluminium industry and its solution. Eur. J. Oper. Res. 44 (1990) 209–223. [CrossRef] [Google Scholar]
  • F. Triefenbach, Design of experiments: the D-optimal approach and its implementation as a computer algorithm. Bachelor’s Thesis in Information and Communication Technology (2008). [Google Scholar]
  • P. Trkman and M. Gradisar, One-dimensional cutting stock optimization in consecutive time periods. Eur. J. Oper. Res. 179 (2007) 291–301. [CrossRef] [Google Scholar]
  • P.H. Vance, Branch-and-price algorithms for the one-dimensional cutting stock problem. Comput. Optim. App. 9 (1998) 211–228. [CrossRef] [MathSciNet] [Google Scholar]
  • A.H.D. Vassoler, S.C. Poltroniere and S.A. Araújo, Modelagem matemática para o problema de produção de vigotas na indústria de lajes treliçadas. Revista Eletrônica Paulista de Matemática 7 (2016) 68–77. [CrossRef] [Google Scholar]
  • Z. Wang, H. Hu and J. Gong, Framework for modeling operational uncertainty to optimize offsite production scheduling of precast components. Autom. Constr. 86 (2018) 69–80. [CrossRef] [Google Scholar]
  • G. Wäscher, H. Haußner and H. Schumann, An improved typology of cutting and packing problems. Eur. J. Oper. Res. 183 (2007) 1109–1130. [CrossRef] [Google Scholar]
  • L.A. Wolsey, Integer Programming. John Wiley & Sons (2020). [CrossRef] [Google Scholar]

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