Single machine scheduling problems with truncated learning effects and exponential past-sequence-dependent delivery times (original) (raw)
Azzouz A, Ennigrou M, Said LB (2018) Scheduling problems under learning effects: classification and cartography. Int J Prod Res 56(4):1642–1661 Google Scholar
Brucker P (2007) Scheduling algorithms, 2nd edn. Springer, Heidelberg Google Scholar
Heuser P, Tauer B (2023) Single-machine scheduling with product category-based learning and forgetting effects. Omega 115:102786 Google Scholar
Koulamas C, Kyparisis GJ (2010) Single-machine scheduling problems with past-sequence-dependent delivery times. Int J Prod Econ 126:264–266 Google Scholar
Liu WG, Wang X (2023) Group technology scheduling with due-date assignment and controllable processing times. Processes 11:1271 Google Scholar
Liu M, Zheng F, Chu C, Xu Y (2012) New results on single-machine scheduling with past-sequence-dependent delivery times. Theoret Comput Sci 438:55–61 MathSciNet Google Scholar
Liu WG, Wang X, Li L, Dai W (2024) Due-window assignment scheduling with job-rejection, truncated learning effects and setup times. J Ind Manag Optim 20(1):313–324 MathSciNet Google Scholar
Lv Z-G, Zhang L-H, Wang X-Y, Wang J-B (2024) Single machine scheduling proportionally deteriorating jobs with ready times subject to the total weighted completion time minimization. Mathematics 12:610 Google Scholar
Ma R, Guo SA, Zhang XY (2023) An optimal online algorithm for single-processor scheduling problem with learning effect. Theoret Comput Sci 928:1–12 MathSciNet Google Scholar
Maecker S, Shen LJ, Mönch L (2023) Unrelated parallel machine scheduling with eligibility constraints and delivery times to minimize total weighted tardiness. Comput Oper Res 149:105999 MathSciNet Google Scholar
Mao R-R, Wang Y-C, Lv D-Y, Wang J-B, Lu Y-Y (2023) Delivery times scheduling with deterioration effects in due window assignment environments. Mathematics 11:3983 Google Scholar
Mor B, Shapira D (2020) Scheduling with regular performance measures and optional job rejection on a single machine. J Oper Res Soc 71(8):1315–1325 Google Scholar
Nawaz M, Enscore JEE, Ham I (1983) A heuristic algorithm for the m-machine, n-job flow-shop sequencing problem. Omega 11:91–95 Google Scholar
Pan L, Sun X, Wang J-B, Zhang L-H, Lv D-Y (2023) Due date assignment single-machine scheduling with delivery times, position-dependent weights and deteriorating jobs. J Comb Optim 45:100 MathSciNet Google Scholar
Pei J, Zhou Y, Yan P, Pardalos PM (2023) A concise guide to scheduling with learning and deteriorating effects. Int J Prod Res 61:2010–2031 Google Scholar
Pinedo ML (2015) Scheduling theory, algorithms, and systems, 5th edn. Springer, Heidelberg Google Scholar
Qian J, Han H (2022) The due date assignment scheduling problem with the deteriorating jobs and delivery time. J Appl Math Comput 68:2173–2186 MathSciNet Google Scholar
Qian J, Zhan Y (2022) The due window assignment problems with deteriorating job and delivery time. Mathematics 10:1672 Google Scholar
Ren N, Lv D-Y, Wang J-B, Wang X-Y (2023) Solution algorithms for single-machine scheduling with learning effects and exponential past-sequence-dependent delivery times. J Ind Manag Optim 19:8429–8450 MathSciNet Google Scholar
Shen L-X, Wu Y-B (2013) Single machine past-sequence-dependent delivery times scheduling with general position-dependent and time-dependent learning effects. Appl Math Model 37:5444–5451 MathSciNet Google Scholar
Sun L-H, Sun L-Y, Wang J-B (2011) Single-machine scheduling to minimize total absolute differences in waiting times under simple linear deterioration. J Oper Res Soc 62:768–775 Google Scholar
Sun X, Geng X-N, Liu F (2021) Flow shop scheduling with general position weighted learning effects to minimise total weighted completion time. J Oper Res Soc 72(12):2674–2689 Google Scholar
Sun X, Liu T, Geng X-N, Hu Y, Xu J-X (2023) Optimization of scheduling problems with deterioration effects and an optional maintenance activity. J Sched 26:251–266 MathSciNet Google Scholar
Toksari MD, Aydogan EK, Atalay B, Sari S (2022) Some scheduling problems with sun of logarithm processing times based learning effect and exponential past sequence dependent delivery times. J Ind Manag Optim 18:1795–1807 MathSciNet Google Scholar
Wang J-B, Wang M-Z (2012) Worst-case analysis for flow shop scheduling problems with an exponential learning effect. J Oper Res Soc 63:130–137 Google Scholar
Wang Y-C, Wang J-B (2023) Study on convex resource allocation scheduling with a time-dependent learning effect. Mathematics 11:3179 Google Scholar
Wang J-J, Wang J-B, Liu F (2011) Parallel machines scheduling with a deteriorating maintenance activity. J Oper Res Soc 62:1898–1902 Google Scholar
Wang J-B, Wang J-J, Ji P (2011) Scheduling jobs with chain precedence constraints and deteriorating jobs. J Oper Res Soc 62:1765–1770 Google Scholar
Wang J-B, Liu F, Wang J-J (2019) Research on m-machine flow shop scheduling with truncated learning effects. Int Trans Oper Res 26(3):1135–1151 MathSciNet Google Scholar
Wang J-B, Cui B, Ji P, Liu W-W (2021) Research on single-machine scheduling with position-dependent weights and past-sequence-dependent delivery times. J Comb Optim 41:290–303 MathSciNet Google Scholar
Wang X, Liu WG, Li L, Zhao P, Zhang R (2022) Resource dependent scheduling with truncated learning effects. Math Biosci Eng 19(6):5957–5967 MathSciNet Google Scholar
Wang J-B, Zhang L-H, Lv Z-G, Lv D-Y, Geng X-N, Sun X (2022) Heuristic and exact algorithms for single-machine scheduling problems with general truncated learning effects. Comput Appl Math 41(8):417 MathSciNet Google Scholar
Wang S-H, Lv D-Y, Wang J-B (2023) Research on position-dependent weights scheduling with delivery times and truncated sum-of-processing-times-based learning effect. J Ind Manag Optim 19:2824–2837 MathSciNet Google Scholar
Wang J-B, Wang Y-C, Wan C, Lv D-Y, Zhang L (2024) Controllable processing time scheduling with total weighted completion time objective and deteriorating jobs. Asia-Pac J Oper Res 41:2350026. https://doi.org/10.1142/S0217595923500264 Article Google Scholar
Wu Y-B, Wang J-J (2016) Single-machine scheduling with truncated sum-of-processing-times based learning effect including proportional delivery times. Neural Comput Appl 27:937–943 Google Scholar
Wu C-C, Yin Y, Wu W-H, Cheng S-R (2012) Some polynomial solvable single-machine scheduling problems with a truncation sum-of-processing-times based learning effect. Eur J Ind Eng 6:441–453 Google Scholar
Wu C-C, Yin Y, Cheng S-R (2013) Single-machine and two-machine flowshop scheduling problems with truncated position-based learning functions. J Oper Res Soc 64:147–156 Google Scholar
Xin X, Jiang Q, Li C, Li S, Chen K (2023) Permutation flow shop energy-efficient scheduling with position-based learning effect. Int J Prod Res 61:382–409 Google Scholar
Yang S-J, Yang D-L (2012) Single-machine scheduling problems with past-sequence-dependent delivery times and position-dependent processing times. J Oper Res Soc 63:1508–1515 Google Scholar
Zhang C, Li Y, Cao J, Yang Z, Coelho LC (2022) Exact and matheuristic methods for the parallel machine scheduling and location problem with delivery time and due date. Comput Oper Res 147:105936 MathSciNet Google Scholar
Zhang L-H, Geng X-N, Xue J, Wang J-B (2024) Single machine slack due window assignment and deteriorating jobs. J Ind Manag Optim 20:1593–1614 MathSciNet Google Scholar
Zhao S (2022) Scheduling jobs with general truncated learning effects including proportional setup times. Comput Appl Math 41(4):146 MathSciNet Google Scholar
Zhao C-L, Tang H-Y (2014) Single machine scheduling problems with general position-dependent processing times and past-sequence-dependent delivery times. J Appl Math Comput 45:259–274 MathSciNet Google Scholar