Akino S (1997). Internationalization of Japanese company and change of production system. Rikkyo Economic Review 51: 29–55.
Ayough A, Hosseinzadeh M, Motameni A (2020). Job rotation scheduling in the seru system: Shake enforced invasive weed optimization approach. Assembly Automation 40(3): 461–474.
Bachman A, Janiak A (2004). Scheduling jobs with position-dependent processing times. Journal of the Operational Research Society 55(3): 257–264.
Bai D, Tang M, Zhang Z H, Santibanez-Gonzalez E D (2018). Flow shop learning effect scheduling problem with release dates. Omega 78: 21–38.
Biskup D (1999). Single-machine scheduling with learning considerations. European Journal of Operational Research 188(2):315–329.
Biskup D (2008). A state-of-the-art review on scheduling with learning effects. European Journal of Operational Research 188(2):315–329.
Chen H, Luo X, Zhang Z, Zhou Q (2021). Stochastic bi-level programming model for home healthcare scheduling problems considering the degree of satisfaction with visit time. Journal of Systems Science and Systems Engineering 30(5): 572–599.
Chen K, Li D, Wang X (2020). Makespan minimization in two-machine flow-shop scheduling under no-wait and deterministic unavailable interval constraints. Journal of Systems Science and Systems Engineering 29(4): 400–411.
Cheng T C E, Wang G (2000). Single machine scheduling with learning effect considerations. Annals of Operations Research 98(1–4): 273–290.
Cheng T C E, Yang S J, Yang D L (2012). Common due-window assignment and scheduling of linear time-dependent deteriorating jobs and a deteriorating maintenance activity. International Journal of Production Economics 135(1): 154–161.
DeJong J R (1957). The effects of increasing skill on cycle time and its consequences for time standards. Ergonomics 1(1): 51–60.
Fu Y P, Ding J L, Wang H F, Wang J W (2018). Two-objective stochastic flow-shop scheduling with deteriorating and learning effect in industry 4.0-based manufacturing system. Applied Soft Computing 68: 847–855.
Gao J, Zhu X, Zhang R (2022). A branch-and-price approach to the multitasking scheduling with batch control on parallel machines. International Transactions in Operational Research 29(6): 3464–3485.
Govindan K, Balasundaram R, Baskar N, Asokan P (2017). A hybrid approach for minimizing makespan in permutation flowshop scheduling. Journal of Systems Science and Systems Engineering 26(1): 50–76.
Graham R L, Lawler E L, Lenstra J K, Kan AHGR (1979). Optimization and approximation in deterministic sequencing and scheduling: A survey. Annals of Discrete Mathematics 5: 287–326.
Janiak A, Kovalyov M Y, Marek M (2007). Soft due window assignment and scheduling on parallel machines. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans 37(5): 614–620.
Janiak A, Rudek R (2009). Experience-based approach to scheduling problems with the learning effect. IEEE Transactions on Systems, Man, and Cybernetics-part A: Systems and Humans 39(2): 344–357.
Ji M, Chen K., Ge J, Cheng T C E (2014). Group scheduling and job-dependent due window assignment based on a common flow allowance. Computers & Industrial Engineering 68(1): 35–41.
Ji M, Yao D, Ge J, Cheng T C E (2015). Single-machine slack due-window assignment and scheduling with past-sequence-dependent delivery times and control-lable job processing times. European J of Industrial Engineering 9(6): 794.
Ji M, Zhang W Y, Liao L J, Cheng T C E, Tan Y Y (2019). Multitasking parallel-machine scheduling with machine dependent slack due-window assignment. International Journal of Production Research 57(6): 1667–1684.
Jiang Z, Chen F, Zhang X (2017). Single-machine scheduling with times-based and job-dependent learning effect. Journal of the Operational Research Society 68: 809–815.
Kaku I, Gong J, Tang J, Yin Y (2009). Modeling and numerical analysis of line-cell conversion problems. International Journal of Production Research 47(8): 2055–2078.
Kasm O A, Diabat A (2019). The quay crane scheduling problem with non-crossing and safety clearance constraints: An exact solution approach. Computers & Operations Research 107: 189–199.
Koulamas C (1996). Single-machine scheduling with time windows and earliness/tardiness penalties. European Journal of Operational Research 91(1): 190–202.
Koulamas C, Kyparisis G J (2007). Single-machine and two-machine flowshop scheduling with general learning functions. European Journal of Operational Research 178(2): 402–407.
Kuo W H, Yang D L (2006). Minimizing the total completion time in a single-machine scheduling problem with a time-dependent learning effect. European Journal of Operational Research 174(2): 1184–1190.
Li Y, Li K, Yang Z, Yu Y, Xu R, Yang M (2022). Stochastic optimal scheduling of demand response-enabled microgrids with renewable generations: An analytical-heuristic approach. Journal of Cleaner Production 330: 129840.
Liman S D, Panwalkar S S, Thongmee S (1998). Common due window size and location determination in a single machine scheduling problem. Journal of the Operational Research Society 49(9): 1007–1010.
Liu C, Stecke K E, Lian J, Yin Y (2014). An implementation framework for seru production. International Transactions in Operational Research 21(1): 1–19.
Luo L, Zhang Z, Yin Y (2016). Seru loading with worker-operation assignment in single period. AIEEE International Conference on Industrial Engineering and Engineering Management. Bali, Indonesia, December 29, 2016.
Luo L, Zhang Z, Yin Y (2017). Simulated annealing and genetic algorithm based method for a bi-level seru loading problem with worker assignment in seru production systems. Journal of Industrial and Management Optimization 13(5). DOI:https://doi.org/10.3934/jimo.2019134.
Mor B (2019). Single-machine minmax common due-window assignment and scheduling problems with convex resource allocation. Engineering Optimization 51(7): 1251–1267.
Mor B, Mosheiov G (2012). Parallel machine scheduling problems with common flow-allowance. International Journal of Production Economics 139(2):623–633.
Mosheiov G (2001). Scheduling problems with a learning effect. European Journal of Operational Research 132(3): 687–693.
Mosheiov G, Sarig A (2008). A due-window assignment problem with position-dependent processing times. Journal of the Operational Research Society 59(7): 997–1003.
Mosheiov G, Sarig A (2009). Scheduling a maintenance activity and due-window assignment on a single machine. Computers & Operations Research 36(9): 2541–2545.
Papadimitriou C, Steiglitz K (1982). Combinatorial optimization: Algorithms and complexity. IEEE Transactions on Acoustics Speech & Signal Processing 32(6):1258–1259.
Pargar F, Zandieh M, Kauppila O, Kujala J (2019). The effect of worker learning on scheduling jobs in a hybrid flow shop: A bi-objective approach. Journal of Systems Science and Systems Engineering 27: 265–291.
Peng Z, Zhang H, Tang H, Feng Y, Yin W (2021). Research on flexible job-shop scheduling problem in green sustainable manufacturing based on learning effect. Journal of Intelligent Manufacturing 33(6): 1725–1746.
Pohl M, Artigues C, Kolisch R (2022). Solving the time-discrete winter runway scheduling problem: A column generation and constraint programming approach. European Journal of Operational Research 299(2): 674–689.
Qureshi A G, Taniguchi E, Yamada T (2009). An exact solution approach for vehicle routing and scheduling problems with soft time windows. Transportation Research Part E: Logistics and Transportation Review 45(6): 960–977.
Sakamaki H (2006). The change of consciousness and company by cellular manufacturing in Canon way. Tokyo: JMAM.
Sakazume Y (2005). Is Japanese cell manufacturing a new system? A comparative study between Japanese cell manufacturing and cellular manufacturing. Journal of Japan Industrial Management Association 55(6): 341–349.
Stecke K, Yin Y, Kaku I, Murase Y (2012). Seru: The organizational extension of JIT for a super-talent factory. International Journal of Strategic Decision Sciences 3(1): 105–118.
Sun L, Yu A J, Wu B (2006). Single machine common flow allowance group scheduling with learning effect and resource allocation. Computers & Industrial Engineering 139: 106126.
Tirkolaee E B, Aydin N S, Ranjbar-Bourani M, Weber G W (2020). A robust bi-objective mathematical model for disaster rescue units allocation and scheduling with learning effect. Computers & Industrial Engineering 149: 106790.
Treville S, Ketokivi M, Singhal V (2017). Competitive manufacturing in a high-cost environment: Introduction to the special issue. Journal of Operations Management 49–51: 1–5.
Villa A, Taurino T (2013). From JIT to Seru, for a production as lean as possible. Procedia Engineering 63: 956–965.
Wang J B, Gao M, Wang J J, Liu L, He H (2020). Scheduling with a position-weighted learning effect and job release dates. Engineering Optimization 52(9): 1475–1493.
Wang J B, Hu Y, Zhang B (2021). Common due-window assignment for single-machine scheduling with generalized earliness/tardiness penalties and a rate-modifying activity. Engineering Optimization 53(3): 1–17.
Wang J B, Wang, M Z (2014). Single-machine due-window assignment and scheduling with learning effect and resource-dependent processing times. Asia-Pacific Journal of Operational Research 31(5): 1450036.
Wang J B, Xia Z Q (2005). Flow-shop scheduling with a learning effect. Journal of the Operational Research Society 56(11): 1325–1330.
Wang L, Zhang Z, Yin Y (2019). Order acceptance and scheduling considering lot-spitting in seru production system. 2019 IEEE International Conference on Industrial Engineering and Engineering Management. Macau, China, December 15, 2019.
Wang L Y, Wang J J, Wang J B, Feng E M (2011). Scheduling jobs with general learning functions. Journal of Systems Science and Systems Engineering 20(1): 119–125.
Wang Y, Tang J (2018). Cost and service-level-based model for a seru production system formation problem with uncertain demand. Journal of Systems Science and Systems Engineering 27(4): 519–537.
Wright T P (1936). Factors affecting the cost of airplanes. Journal of the Aeronautical Sciences 3: 122–128.
Xue Z J, Zhang C R, Miao L X, Lin W H (2013). An ant colony algorithm for yard truck scheduling and yard location assignment problems with precedence constraints. Journal of Systems Science and Systems Engineering 22(1): 21–37.
Yeung W K, Oguz C, Cheng T C E (2001). Single-machine scheduling with a common due window. Computers & Operations Research 28(2): 157–175.
Yin Y, Stecke K E, Li D (2018). The evolution of production systems from Industry 2.0 through Industry 4.0. International Journal of Production Research 56(1–2): 848–861.
Yin Y, Stecke K E, Swink M, Kaku I (2017). Lessons from seru production on manufacturing competitively in a high cost environment. Journal of Operations Management 49: 67–76.
Ying K C, Lin S W, Lu C C (2017). Effective dynamic dispatching rule and constructive heuristic for solving single-machine scheduling problems with a common due window. A International Journal of Production Research 55(6): 1707–1719.
Yu Y, Tang J (2019). Review of seru production. Frontiers of Engineering Management 6(2): 183–192.
Zhang L, Deng Q, Lin R, Gong G, Han W (2021a). A combinatorial evolutionary algorithm for unrelated parallel machine scheduling problem with sequence and machine-dependent setup times, limited worker resources and learning effect. Expert Systems with Applications 175: 114843.
Zhan R, Zhang J, Cui Z, Peng J, Li D (2021). An automatic heuristic design approach for seru scheduling problem with resource conflicts. Discrete Dynamics in Nature and Society: 8166343.
Zhang X, Lin W, Hsu C, Wu C (2017a). Resource constrained scheduling problems with general truncated sum-of-processing time dependent effect under single machine and unrelated parallel machines. Computers & Industrial Engineering 110: 344–352.
Zhang X L, Liu C G, Li W J, Evans S, Yin Y (2017b). Effects of key enabling technologies for seru production on sustainable performance. Omega 66: 290–307.
Zhang Z, Gong X, Song X L, Yin Y, Lev B, Chen J (2022a). A column generation-based exact solution method for seru scheduling problems. Omega 108: 102581.
Zhang Z, Song X L, Huang H J, Zhou X, Yin Y (2022b). Logic-based Benders decomposition method for the seru scheduling problem with sequence-dependent setup time and DeJong’s learning effect. European Journal of Operational Research 297(3): 866–877.
Zhang Z, Wang L L, Song X L, Huang H J, Yin Y (2021). Improved genetic-simulated annealing algorithm for seru loading problem with downward substitution under stochastic environment. Journal of the Operational Research Society inpress. Doi:https://doi.org/10.1080/01605682.2021.1939172.