References
- Merle A, Chandon JL, Roux A. Why consumers are willing to pay for mass customized products: dissociating product and experiential value. In: Handbook of research in mass customization and personalization. Singapore: World Scientific. 2010. p. 208–225.
- Um J, Lyons A, Lam HK, et al. Product variety management and supply chain performance: a capability perspective on their relationships and competitiveness implications. Int J Prod Econ. 2017;187:15–26.
- Onyeocha CE, Khoury J, Geraghty J. Evaluation of multi-product lean manufacturing systems with setup and erratic demand. Comput Ind Eng. 2015;87: 465–480.
- Thürer M, Fernandes NO, Ziengs N, et al. On the meaning of ConWip cards: an assessment by simulation. J Ind Prod Eng. 2019;36(1):49–58.
- Little JDC. A Proof for the queuing formula: l= λ W. Oper Res. 1961;9(3):383–387.
- Spearman ML, Woodruff DL, Hopp WJ. ConWip: a pull alternative to Kanban. Int J P Res. 1990;28(5):879–894.
- Takahashi K, Nakamura N. Comparing reactive Kanban and reactive ConWip. Prod Plan Control. 2002;13(8):702–714.
- Pettersen J-A, Segerstedt A. Restricted work-in-process: a study of differences between Kanban and ConWip. Int J Prod Econ. 2009;118(1):199–207.
- Roy D, Ravikumaran V. An extensive evaluation of ConWip-card controlled and scheduled start time-based production system designs. J Manuf Syst. 2019;50:119–134.
- Xanthopoulos AS, Chnitidis G, Koulouriotis DE. Reinforcement learning-based adaptive production control of pull manufacturing systems. J Ind Prod Eng. 2019;36(5):313–323.
- Jaegler Y, Jaegler A, Burlat P, et al. The ConWip production control system: a systematic review and classification. Int J P Res. 2018a;56(17):5736–5757.
- Framinan JM, Gonzalez PL, Ruiz-Usano RL. The ConWip production control system: review and research issues. Prod Plan Control. 2003;14(3):255–265.
- Assad M, Gharbu A, Hajji A. ”Production and setup control policy for unreliable hybrid manufacturing-remanufacturing systems”. J Manuf Syst. 2019;50:103–118.
- Parvin H, Van Oyen MP, Pandelis DG, et al. Fixed task zone chaining: worker coordination and zone design for inexpensive cross-training in serial ConWip lines. IIE Trans. 2012;44(10):894–914.
- Satyam K, Krishnamurthy N. Performance analysis of ConWip systems with batch size constraints. Ann Oper Res. 2013;209(1):85–114.
- Tsutsumi D, Gyulai D, Kovacs A, et al. Joint optimization of product tolerance design, process plan, and production plan in high-precision multi-product assembly. J Manuf Syst. 2020;54:336–347.
- Prakash J, Chin JF. Modified ConWip systems: a review and classification. Prod Plan Control. 2015;26(4):296–307.
- Eng CK, Sin LK. ConWip based control of a semiconductor end of line assembly. Procedia Eng. 2013;53:607–615.
- Ziengs N, Riezebos J, Germs R. Placement of effective work-in-progress limits in route-specific unit-based pull systems. Int J P Res. 2012;50(16):4358–4371.
- Khojasteh-Ghamari Y. A performance comparison between kanban and Conwip controlled assembly systems. J Intell Manuf. 2009;20(6):751–760.
- Bahaji N, Kuhl ME. A simulation study of new multi-objective composite dispatching rules, Conwip, and push lot release in semiconductor fabrication. Int J P Res. 2008;46(14):3801–3824.
- Herer YT, Masin M. Mathematical programming formulation of ConWip based production lines; and relationships to MRP. Int J P Res. 1997;35(4):106–1076.
- Ryan SM, Baynat B, Choobineh FF. Determining inventory levels in a ConWip controlled job shop. IIE Trans. 2000;32(2):105–114.
- Ryan SM, Vorasayan J. Allocating work in process in a multiple-product ConWip system with lost sales. Int J P Res. 2005;43(2):223–246.
- Satyam K, Krishnamurthy A. Performance evaluation of a multi-product system under ConWip control. IIE Trans. 2008;40(3):252–264.
- Bertolini M, Braglia M, Frosolini M, et al. Work in next queue ConWip. Comput Ind Eng. 2020;143:106437.
- Park CW, Lee HS. Performance evaluation of a multi-product ConWip assembly system with correlated external demands. Int J Prod Econ. 2013;144(1):334–344.
- Hopp WJ, Spearman ML. Factory physics: foundations of factory management. Chicago, IL: Inrwin/McGraw Hill; 1996.
- Zhang W, Chen M. A mathematical programming model for production planning using ConWip. Int J P Res. 2001;39(12):2723–2734.
- Khan S, Standridge C. Aggregate simulation modeling with application to setting the ConWip limit in a HMLV manufacturing cell. Int J Ind Eng Computations. 2019;10(2):149–160.
- Kingman JFC. The single server queue in heavy traffic. Mathematical. Proc Cambridge Philos Soc. 1961;57(4):902.
- Belisário LS, Pierreval H. Using genetic programming and simulation to learn how to dynamically adapt the number of cards in reactive pull systems. Expert Syst Appl. 2015;42(6):3129–3141.
- Jaegler Y, Jaegler A, Trentesaux D, et al. The ConWip production control system: classification and discussion of current and future research avenues. J Eur Des Systèmes Automatisés. 2017;50(3):187–211.
- Jaegler Y, Lamouri S, Trentesaux D, et al. Generic routings for ConWip sizing in a multi-product environment. In: Service Orientation in holonic and multi-agent manufacturing. Cham: Springer; 2018b. p. 447–460.