Free Access
Issue
RAIRO-Oper. Res.
Volume 55, 2021
Regular articles published in advance of the transition of the journal to Subscribe to Open (S2O). Free supplement sponsored by the Fonds National pour la Science Ouverte
Page(s) S253 - S269
DOI https://doi.org/10.1051/ro/2019108
Published online 09 February 2021
  • S. Akiyoshi, V.S. Natalia and A.S. Vitaly, Application of submodular optimization to single machine scheduling with control-lable processing times subject to release dates and deadlines. INFORMS J. Comput. 28 (2016) 148–161. [Google Scholar]
  • D. Biskup, Single-machine scheduling with learning considerations. Eur. J. Oper. Res. 115 (1999) 173–178. [Google Scholar]
  • T.C.E. Cheng, C.T. Ng, J.J. Yuan and Z.H. Liu, Single machine parallel batch scheduling subject to precedence constraints. Nav. Res. Logist. 51 (2004) 949–958. [Google Scholar]
  • B.Y. Cheng, J.Y.T. Leung, K. Li and S.L. Yang, Single batch machine scheduling with deliveries. Nav. Res. Logist. 62 (2015) 470–482. [Google Scholar]
  • J.R. DeJong, The effects of increasing skill on cycle time and its consequences for time standards. Economics 1 (1957) 51–60. [Google Scholar]
  • G. Dosa, R. Li, X. Han and Z. Tuza, Tight absolute bound for first fit decreasing bin packing: FFD(L) 11/9OPT(L) + 6/9. Theor. Comput. Sci. 510 (2013) 13–61. [Google Scholar]
  • D. Giglio, Optimal control strategies for single-machine family scheduling with sequence-dependent batch setup and controllable processing times. J. Sched. 18 (2015) 525–543. [Google Scholar]
  • N.P.A. Hidayat, A. Cakravastia, T.M.A.A. Samadhi and A.H. Halim, A batch scheduling model for m heterogeneous batch processor. Int. J. Prod. Res. 54 (2016) 1170–1185, [Google Scholar]
  • X. Huang, M.Z. Wang and P. Ji, Parallel machines scheduling with deteriorating and learning effects. Optim. Lett. 8 (2014) 493–500. [Google Scholar]
  • M. Ji, D. Yao, Q. Yang and T.C.E. Cheng, Machine scheduling with DeJongs learning effect. Comput. Ind. Eng. 80 (2014) 195–200. [Google Scholar]
  • Z. Jiang, F. Chen and H. Kang, Single-machine scheduling problems with actual time-dependent and job-dependent learning effect. Eur. J. Oper. Res. 115 (2013) 173–178. [Google Scholar]
  • C. Koulamas, A note on single-machine scheduling with job-dependent learning effects. Eur. J. Oper. Res. 207 (2010) 1142–1143. [Google Scholar]
  • P.J. Lai and W.C. Lee, Single-machine scheduling with general sum-of-processing-time-based and position-based learning effects. OMEGA Int. J. Manage. Sci. 39 (2011) 467–471. [Google Scholar]
  • W.C. Lee, Scheduling with general position-based learning curves. Inf. Sci. 181 (2011) 5515–5522. [Google Scholar]
  • W.C. Lee, C.C. Wu and P.H. Hsu, A single-machine learning effect scheduling problem with release times. OMEGA Int. J. Manage. Sci. 28 (2010) 3–11. [Google Scholar]
  • Y. Li, Combined scheduling algorithm for re-entrant batch-processing machines in semiconductor wafer manufacturing. Int. J. Prod. Res. 53 (2015) 1866–1879. [Google Scholar]
  • M. Li and N.C. Petruzzi, Demand uncertainty reduction in decentralized supply chains. Prod. Oper. Manage. 26 (2017) 156–161. [Google Scholar]
  • M. Liu, Parallel-machine scheduling with past-sequence-dependent delivery times and learning effect. Appl. Math. Model. 37 (2013) 9630–9633. [Google Scholar]
  • L.L. Liu, C.T. Ng and T.C.E. Cheng, Scheduling jobs with release dates on parallel batch processing machines. Discrete Appl. Math. 157 (2009) 1825–1830. [Google Scholar]
  • D. Okolowski and S. Gawiejnowicz, Exact and heuristic algorithms for parallel-machine scheduling with DeJongs learning effect. Comput. Ind. Eng. 59 (2010) 272–279. [Google Scholar]
  • M.L. Pinedo, Scheduling: Theory, Algorithms, and Systems. Springer (2008). [Google Scholar]
  • J. Qian and G. Steiner, Fast algorithms for scheduling with learning effects and time-dependent processing times on a single machine. Eur. J. Oper. Res. 225 (2013) 547–551. [Google Scholar]
  • Y. Tan and J. Carrillo, Strategic analysis of the agency model for digital goods. Prod. Oper. Manage. 24 (2017) 724–741. [Google Scholar]
  • Y. Tan, J. Carrillo and H.K. Cheng, The agency model for digital goods. Decis. Sci. 47 (2016) 628–660. [Google Scholar]
  • L.X. Tang, G.S. Wang and Z.L. Chen, Integrated charge batching and casting width selection at baosteel. Oper. Res. 62 (2014) 772–787. [Google Scholar]
  • T.T. Tran, A. Araujo and J.C. Beck, Decomposition methods for the parallel machine scheduling problem with setups. INFORMS J. Comput. 28 (2016) 83–95. [Google Scholar]
  • J.Q. Wang and J.Y.T. Leung, Scheduling jobs with equal-processing-time on parallel machines with non-identical capacities to minimize makespan. Int. J. Prod. Econ. 156 (2014) 325–331. [Google Scholar]
  • H. Wiebke, K.G. Felix, M.H. Rolf and L.E. Marco, Integrated sequencing and scheduling in coil coating. Manage. Sci. 57 (2011) 647–666. [Google Scholar]
  • D.L. Yang and W.H. Kuo, A single-machine scheduling problem with learning effects in intermittent batch production. Comput. Ind. Eng. 57 (2009) 762–765. [Google Scholar]

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