Single-machine common due-window assignment and scheduling with position-dependent weights, delivery time, learning effect and resource allocations (original) (raw)

References

  1. Wang, J.-B., Xia, Z.-Q.: Flow shop scheduling with a learning effect. J. Oper. Res. Soc. 56(11), 1325–1330 (2005)
    Article Google Scholar
  2. Wang, J.-B., Wang, L,-Y., Wang, D., Wang, X.-Y., Gao, W.-J., Yin, N.: Single machine scheduling problems with position-dependent processing times. J. Appl. Math. Comput. 30, 293–304 (2009)
  3. Azzouz, A., Ennigrou, M., Said, L.B.: Scheduling problems under learning effects: classification and cartography. Int. J. Prod. Res. 56(4), 1642–1661 (2018)
    Article Google Scholar
  4. Liang, X.-X., Zhang, B., Wang, J.-B., Yin, N., Huang, X.: Study on flow shop scheduling with sum-of-logarithm-processing-times-based learning effects. J. Appl. Math. Comput. 61, 373–388 (2019)
    Article MathSciNet Google Scholar
  5. Wang, J.-B., Liu, F., Wang, J.-J.: Research on \(m\)-machine flow shop scheduling with truncated learning effects. Int. Trans. Oper. Res. 26(3), 1135–1151 (2019)
    Article MathSciNet Google Scholar
  6. Qian, J., Zhan, Y.: Single-machine group scheduling model with position-dependent and job-dependent DeJong’s learning effect. Mathematics 10(14), 2454 (2022)
    Article Google Scholar
  7. Qian, J.: Note on single machine common flow allowance group scheduling with learning effect and resource allocation. Comput. Ind. Eng. 186, 109750 (2023)
    Article Google Scholar
  8. Wang, J.-B., Zhang, L.-H., Lv, Z.-G., Lv, D.-Y., Geng, X.-N., Sun, X.: Heuristic and exact algorithms for single-machine scheduling problems with general truncated learning effects. Comput. Appl. Math. 41, 417 (2022)
    Article MathSciNet Google Scholar
  9. Gao, J., Zou, J., Zhang, Y.: Single-machine scheduling with a deteriorating maintenance activity and DeJong’s learning effect. Int. J. Found. Comput. Sci. (2022). https://doi.org/10.1142/S0129054122460030
    Article Google Scholar
  10. Ferraro, A., Rossit, D.A., Toncovich, A.: Flow shop scheduling problem with non-linear learning effects: a linear approximation scheme for non-technical users. J. Comput. Appl. Math. 424(1), 114983 (2023)
    Article MathSciNet Google Scholar
  11. Koulamas, C., Kyparisis, G.J.: Single-machine scheduling problems with past-sequence-dependent setup times. Eur. J. Oper. Res. 187, 1045–1049 (2008)
    Article MathSciNet Google Scholar
  12. Sun, L., Zhang, X.H., Ning, L.: Results of parallel-machine scheduling model with maintenance activity considering time-dependent deterioration, delivery times, and resource allocation. Math. Probl. Eng. 2021, 8826345 (2021)
    Article Google Scholar
  13. Qian, J., Zhan, Y.: The due date assignment scheduling problem with delivery times and truncated sum-of-processing-times-based learning effect. Mathematics 9(23), 3085 (2021)
    Article Google Scholar
  14. Wang, J.-B., Xue, J., Cui, B., Gao, M.: Single-machine scheduling problems with variable processing times and past-sequence-dependent delivery times. Asia. Pac. J. Oper. Res. 39(2), 2150013 (2022)
    Article MathSciNet Google Scholar
  15. Qian, J., Han, H.: The due date assignment scheduling problem with the deteriorating jobs and delivery time. J. Appl. Math. Comput. 68, 2173–2186 (2022)
    Article MathSciNet Google Scholar
  16. Zhang, C., Li, Y., Cao, J., Yang, Z., Coelho, L.C.: Exact and matheuristic methods for the parallel machine scheduling and location problem with delivery time and due date. Comput. Oper. Res. 147, 105936 (2022)
    Article MathSciNet Google Scholar
  17. Qian, J., Zhan, Y.: The due window assignment problems with deteriorating job and delivery time. Mathematics 10(10), 2454 (2022)
    Article Google Scholar
  18. Qian, J., Han, H.Y.: Improved algorithms for proportionate flow shop scheduling with due-window assignment. Ann. Oper. Res. 309, 249–258 (2022)
    Article MathSciNet Google Scholar
  19. Qian, J., Chang, G.: A note on study on proportionate flowshop scheduling with due-date assignment and position-dependent weights. Optim. Lett. 16, 2645–2648 (2022)
    Article MathSciNet Google Scholar
  20. Wang, S.-H., Lv, D.-Y., Wang, J.-B.: Research on position-dependent weights scheduling with delivery times and truncated sum-of-processing-times-based learning effect. J. Ind. Manag. Optim. 19(4), 2824–2837 (2023)
    Article MathSciNet Google Scholar
  21. Ren, N., Lv, D.-Y., Wang, J.-B., Wang, X.-Y.: Solution algorithms for single-machine scheduling with learning effects and exponential past-sequence-dependent delivery times. J. Ind. Manag. Optim. 19(11), 8429–8450 (2023)
    Article MathSciNet Google Scholar
  22. Ren, N., Wang, J.-B., Wang, E.: Research on delivery times scheduling with truncated learning effects. Comput. Appl. Math. 42, 243 (2023)
    Article MathSciNet Google Scholar
  23. Pan, L., Sun, X., Wang, J.-B., Zhang, L.-H., Lv, D.-Y.: Due date assignment single-machine scheduling with delivery times, position-dependent weights and deteriorating jobs. J. Combin. Optim. 45, 100 (2023)
    Article MathSciNet Google Scholar
  24. Shabtay, D., Steiner, G.: A survey of scheduling with controllable processing times. Disc. Appl. Math. 155, 1643–1666 (2007)
    Article MathSciNet Google Scholar
  25. Yedidsiona, L., Shabtay, D.: The resource dependent assignment problem with a convex agent cost function. Eur. J. Oper. Res. 261, 486–502 (2017)
    Article MathSciNet Google Scholar
  26. Wang, J.-B., Wang, M.-Z.: Single-machine due-window assignment and scheduling with learning effect and resource-dependent processing times. Asia Pac. J. Oper. Res. 31(5), 1450036 (2014)
    Article MathSciNet Google Scholar
  27. Wang, J.-B., Liang, X.-X.: Group scheduling with deteriorating jobs and allotted resource under limited resource availability constraint. Eng. Optim. 51(2), 231–246 (2019)
    Article MathSciNet Google Scholar
  28. Sun, X., Geng, X.-N., Wang, J.-B., Liu, F.: Convex resource allocation scheduling in the no-wait flowshop with common flow allowance and learning effect. Int. J. Prod. Res. 57(6), 1873–1897 (2019)
    Article Google Scholar
  29. Geng, X.-N., Wang, J.-B., Bai, D.: Common due date assignment scheduling for a no-wait flowshop with convex resource allocation and learning effect. Eng. Optim. 51(8), 1301–1323 (2019)
    Article MathSciNet Google Scholar
  30. Liu, W., Jiang, C.: Due-date assignment scheduling involving job-dependent learning effects and convex resource allocation. Eng. Optim. 52(1), 74–89 (2020)
    Article MathSciNet Google Scholar
  31. Shi, H.-B., Wang, J.-B.: Research on common due window assignment flowshop scheduling with learning effect and resource allocation. Eng. Optim. 52(4), 669–686 (2020)
    Article MathSciNet Google Scholar
  32. Sun, L., Yu, A.J., Wu, B.: Single machine common flow allowance group scheduling with learning effect and resource allocation. Comput. Ind. Eng. 139, 106126 (2020)
    Article Google Scholar
  33. Lv, D.-Y., Wang, J.-B.: Study on resource-dependent no-wait flow shop scheduling with different due-window assignment and learning effects. Asia-Pac. J. Oper. Res. 38(6), 2150008 (2021)
    Article MathSciNet Google Scholar
  34. Yan, J.-X., Ren, N., Bei, H.-B., Bao, H., Wang, J.-B.: Scheduling with resource allocation, deteriorating effect and group technology to minimize total completion time. Mathematics 10(16), 2983 (2022)
    Article Google Scholar
  35. Zhang, L.-H., Lv, D.-Y., Wang, J.-B.: Two-agent slack due-date assignment scheduling with resource allocations and deteriorating jobs. Mathematics 11, 2737 (2023)
    Article Google Scholar
  36. Wang, J.-B., Wang, Y.-C., Wan, C., Lv, D.-Y., Zhang, L.: Controllable processing time scheduling with total weighted completion time objective and deteriorating jobs. Asia-Pac. J. Oper. Res. https://doi.org/10.1142/S0217595923500264
  37. Wang, Y.-C., Wang, J.-B.: Study on convex resource allocation scheduling with a time-dependent learning effect. Mathematics 11, 3179 (2023)
    Article Google Scholar
  38. Shioura, A., Strusevich, V.A., Shakhlevich, N.V.: Preemptive scheduling of parallel jobs of two sizes with controllable processing times. J. Sched. https://doi.org/10.1007/s10951-023-00782-w
  39. Graham, R.L., Lawler, E.L., Lenstra, J.K., Rinnooy Kan, A.H.G.: Optimization and approximation in deterministic sequencing and scheduling: a survey. Ann. Disc. Math. 5, 287—326 (1979)
  40. Wang, J.-B., Zhang, B., Li, L., Bai, D., Feng, Y.-B.: Due window assignment scheduling problems with position-dependent weights on a single machine. Eng. Optim. 52(2), 185–193 (2020)
    Article MathSciNet Google Scholar
  41. Wang, J.-B., Cui, B., Ji, P., Liu, W.-W.: Research on scheduling with position-dependent weights and past-sequence-dependent delivery times. J. Combin. Optim. 41(2), 290–303 (2021)
    Article MathSciNet Google Scholar
  42. Wang, J.-B., Bao, H., Wang, C.: Research on multiple slack due-date assignments scheduling with position-dependent weights. Asia-Pac. J. Oper. Res. https://doi.org/10.1142/S0217595923500392
  43. Huang, X.: Bicriterion scheduling with group technology and deterioration effect. J. Appl. Math. Comput. 60, 455–464 (2019)
    Article MathSciNet Google Scholar
  44. Huang, X., Yin, N., Liu, W.-W., Wang, J.-B.: Common due window assignment scheduling with proportional linear deterioration effects. Asia-Pac. J. Oper. Res. 37(1), 1950031 (2020)
    Article MathSciNet Google Scholar
  45. Zhang, L.-H., Geng, X.-N., Xue, J., Wang, J.-B.: Single machine slack due window assignment and deteriorating jobs. J. Ind. Manag. Optim. 20(4), 1593–1614 (2024)
    Article MathSciNet Google Scholar
  46. Lv, D.-Y., Xue, J., Wang, J.-B.: Minmax common due-window assignment scheduling with deteriorating jobs. J. Oper. Res. Soc. China., https://doi.org/10.1007/s40305-023-00511-2

Download references