Open Access
Issue
RAIRO-Oper. Res.
Volume 56, Number 4, July-August 2022
Page(s) 2621 - 2649
DOI https://doi.org/10.1051/ro/2022124
Published online 18 August 2022
  • N.R. Adam and J. Surkis, Priority update intervals and anomalies in dynamic ratio type job shop scheduling rules. Manage. Sci. 26 (1980) 1227–1237. [CrossRef] [Google Scholar]
  • M.M. Ahmadian and A. Salehipour, The just-in-time job shop scheduling problem with distinct due-dates for operations. J. Heuristics 27 (2021) 175–204. [CrossRef] [Google Scholar]
  • M.M. Ahmadian, A. Salehipour and T.C.E. Cheng, A meta-heuristic to solve the just-in-time job-shop scheduling problem. Eur. J. Oper. Res. 288 (2021) 14–29. [CrossRef] [Google Scholar]
  • R.P. Araujo, A.G. dos Santos and J.E.C. Arroyo, Genetic Algorithm and Local Search for Just-in-Time Job-Shop Scheduling. In: Proceedings of the 2009 IEEE Congress on Evolutionary Computation (CEC 2009) (2009) 955–961. [Google Scholar]
  • P. Baptiste, M. Flamini and F. Sourd, Lagrangian bounds for just-in-time job-shop scheduling. Comput. Oper. Res. 35 (2008) 906–915. [CrossRef] [MathSciNet] [Google Scholar]
  • J. Bauman and J. Józefowska, Minimizing the earliness–tardiness costs on a single machine. Comput. Oper. Res. 33 (2006) 3219–3230. [CrossRef] [Google Scholar]
  • J.C. Beck and P. Refalo, A hybrid approach to scheduling with earliness and tardiness costs. Ann. Oper. Res. 118 (2003) 49–71. [CrossRef] [MathSciNet] [Google Scholar]
  • J.H. Blackstone, D.T. Phillips and G.L. Hogg, A state-of-the-art survey of dispatching rules for manufacturing job shop operations. Int. J. Prod. Res. 20 (1982) 27–45. [CrossRef] [Google Scholar]
  • F.D. Croce and M. Trubian, Optimal idle time insertion in early-tardy parallel machines scheduling with precedence constraints. Prod. Plan. Control. 13 (2002) 133–142. [CrossRef] [Google Scholar]
  • P. Chretienne, Minimizing the earliness and tardiness cost of a sequence of tasks on a single machine. RAIRO-Oper. Res. 35 (2001) 165–187. [CrossRef] [EDP Sciences] [MathSciNet] [Google Scholar]
  • P. Chretienne and F. Sourd, PERT scheduling with convex cost functions. Theor. Comput. Sci. 292 (2003) 145–164. [CrossRef] [Google Scholar]
  • T. Cleveland, Number Theory. Ed-Tech Press (2020). [Google Scholar]
  • E. Danna, E. Rothberg and C.L. Pape, Integrating mixed integer programming and local search: A case on Job-shop scheduling problems. In: Proceedings of the Fifth International Workshop on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimisation Problems (CPAIOR’03) (2003) 65–79. [Google Scholar]
  • A.G. dos Santos, R.P. Araujo and J.E.C. Arroyo, A combination of evolutionary algorithm, mathematical programming, and a new local search procedure for the just-in-time job-shop scheduling problem. In: Vol. 6073 of Learning and Intelligent Optimization (LION 2010), edited by C. Blum and R. Battiti, Lecture Notes in Computer Science, Springer-Verlag, Berlin- Heidelberg (2010) 10–24. [CrossRef] [Google Scholar]
  • G. Feng and H.C. Lau, Efficient algorithms for machine scheduling problems with earliness and tardiness penalties. Ann. Oper. Res. 159 (2008) 83–95. [CrossRef] [MathSciNet] [Google Scholar]
  • M.R. Garey, R.E. Tarjan and G.T. Wilfong, One-Processor Scheduling with Symmetric Earliness and Tardiness Penalties. Math. Oper. Res. 13 (1988) 330–348. [CrossRef] [MathSciNet] [Google Scholar]
  • B. Giffler and G.L. Thompson, Algorithms for solving production-scheduling problems. Oper. Res. 8 (1960) 487–503. [CrossRef] [Google Scholar]
  • B.S. Girish, An efficient hybrid particle swarm optimization algorithm in a rolling horizon framework for the aircraft landing problem. Appl. Soft Comput. 44 (2016) 200–221. [CrossRef] [Google Scholar]
  • Y. Hendel and F. Sourd, An improved earliness–tardiness timing algorithm. Comput. Oper. Res. 34 (2007) 2931–2938. [CrossRef] [Google Scholar]
  • IBM software, IBM ILOG CPLEX Optimization Studio CPLEX User’s Manual version 12 Release 8, IBM, 2017. Available online: https://www.ibm.com/support/pages/introduction-concert-technology. [Google Scholar]
  • A.S. Jain and S. Meeran, Deterministic job-shop scheduling: Past, present and future. Eur. J. Oper. Res. 113 (1999) 390–434. [CrossRef] [Google Scholar]
  • J. Józefowska, Just-in-time concept in manufacturing and computer systems, In: Just-In-Time Scheduling: Models and Algorithms for Computer and Manufacturing Systems, Vol. 106 of International Series In Operations Research,Springer, Boston (2007) 1–23. [Google Scholar]
  • J. Kelbel and Z. Hanzalek, Solving production scheduling with earliness/tardiness penalties by constraint programming. J. Intell. Manuf. 22 (2011) 553–562. [CrossRef] [Google Scholar]
  • C.Y. Lee and J.Y. Choi, A genetic algorithm for job sequencing problems with distinct due dates and general early-tardy penalty weights. Comput. Oper. Res. 22 (1995) 857–869. [CrossRef] [Google Scholar]
  • J. Monette, Y. Deville and P.V. Hentenryck, Just-in-time scheduling with constraint programming. In: Proceedings of the Nineteenth International Conference on Automated Planning and Scheduling (ICAPS 2009) (2009) 241–248. [Google Scholar]
  • S.G. Ponnambalam, N. Jawahar and B.S. Girish, Giffler and Thompson procedure based genetic algorithms for scheduling job shops, In: Computational intelligence of flow shop and job shop scheduling, In Vol. 230 of Studies in Computational Intelligence, Springer-Verlag, Berlin-Heidelberg (2010) 229–259. [Google Scholar]
  • W. Szwarc and S.K. Mukhopadhyay, Optimal timing schedules in earliness-tardiness single machine sequencing. Nav. Res. Logist. 42 (1995) 1109–1114. [CrossRef] [Google Scholar]
  • M. Vanhoucke, E. Demeulemeester and W. Herroelen, An exact procedure for the resource-constrained weighted earliness–Tardiness project scheduling problem. Ann. Oper. Res. 102 (2001) 179–196. [CrossRef] [MathSciNet] [Google Scholar]
  • G. Wan and B.P.C. Yen, Tabu search for single machine scheduling with distinct due windows and weighted earliness/tardiness penalties. Eur. J. Oper. Res. 142 (2002) 271–281. [CrossRef] [Google Scholar]
  • S. Wang and Y. Li, Variable neighbourhood search and mathematical programming for just-in-time job-shop scheduling problem. Math. Probl. Eng. 2014 (2014) 1–9. [Google Scholar]
  • H. Yang, J. Li and L. Qi, An Improved Genetic Algorithm For Just-In-Time Job-Shop Scheduling Problem. Adv. Mat. Res. 472–475 (2012) 2462–2467. [Google Scholar]
  • H. Yang, Q. Sun, C. Saygin and S. Sun, Job shop scheduling based on earliness and tardiness penalties with due dates and deadlines: an enhanced genetic algorithm. Int. J. Adv. Manuf. Technol. 61 (2012) 657–666. [CrossRef] [Google Scholar]
  • J. Zhang, G. Ding, Y. Zhou, S. Qin and J. Fu, Review of job shop scheduling research and its new perspectives under industry 4.0. J. Intell. Manuf. 30 (2019) 1809–1830. [CrossRef] [Google Scholar]

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