CONWIP card setting in a flow-shop system with a batch production machine

International Journal of Industrial Engineering Computations

Volumn 2, Issue 1, 2011, Pages 1-18

  Braglia, Marcello ^a   Frosolini, Marco ^a   Gabbrielli, Roberto ^a   Zammori, Francesco ^a  

^a UNIVERSITY OF PISA   (Italy)

Author keywords

Batch production; Card setting; CONWIP; Flow shop system; Pull systems

Indexed keywords

EID: 84871271761     PISSN: 19232926     EISSN: 19232934     Source Type: Journal    
DOI: 10.5267/j.ijiec.2010.07.004     Document Type: Article

References (29)

1. Al-Tahat, M. D., & Rawabdeh, I. A. (2008). Stochastic analysis and design of CONWIP controlled production systems. Journal of Manufacturing Technology Management, 19, 253-273.
2. Bonvik, A. M., Couch, C.E., & Gershwin, S.B. (1997). A comparison of production-line control mechanisms. International Journal of Production Research, 25, 789-804.
3. Cao, D., & Chen, M. (2005). A mixed integer programming model for a two line CONWIP-based production and assembly system. International Journal of Production Economics, 95, 317-326.
4. Chang, T.M., & Yih, Y. (1994). Generic Kanban systems for dynamic environments. International Journal of Production Research, 32, 889-902.
5. Duenyas, I. (1994). Estimating the throughput of a cyclic assembly system. International Journal of Production Research, 32, 1403-1419.
6. Duri, C., Frein, Y., & Lee, H.-S. (2000). Performance evaluation and design of a CONWIP system with inspections. International Journal of Production Economics, 64, 219-229.
7. Framinan, J. M., Ruiz-Usano, R., & Leisten, R. (2001). Sequencing CONWIP flow-shops: analysis and heuristics. International Journal of Production Research, 39, 2735-2749.
8. Framinan, J.M., Gonzàlez, P.L., & Ruiz-Usano, R. (2003). The CONWIP production control system: review and research issues. Production Planning & Control, 14, 255-265.
9. Framinan, J.M., Gonzàlez, P.L., & Ruiz-Usano, R. (2006). Dynamic card controlling in a Conwip system. International Journal of Production Economics, 99, 102-116.
10. Fowler, J.W., Brown, S., Gold, H., & Schoemig A. (1997). Measurable improvements in cycle-timeconstrained capacity, Proceedings of the 6th International Symposium on Semiconductor Manufacturing (ISSM), San Francisco, USA.
11. Golany, B., Dar-El, E., & Zeev, N. (1999). Controlling shop floor operations in a multi-family, multicell manufacturing environment through constant work-in-process. IIE Transactions, 31, 771-781.
12. Hopp, W. J., & Spearman, M. L. (1991). Throughput of a constant work in process manufacturing line subject to failures. International Journal of Production Research, 29, 635-655.
13. Hopp, W.J., & Roof, M.L. (1998). Setting WIP level with statistical throughput control (STC) in CONWIP production lines. International Journal of Production Research, 36, 867-882.
14. Hopp, J.H., & Spearman, M.L. (2000). Factory Physics. New York: McGraw Hill.
15. Huang, M., Wang, D., & Ip, W.H. (1998). Simulation study of CONWIP for a cold rolling plant. International Journal of Production Economics, 54, 257-266.
16. Lavoie, P., Gharbi, A., & Kenné, J.-P. (2010). A comparative study of pull control mechanisms for unreliable homogenous transfer lines. International Journal of Production Economics, 124, 241-251.
17. Li, N., Yao, S., Liu, G., & Zhuang, C. (2010). Optimization of a multi-Constant Work-in-Process semiconductor assembly and test factory based on performance evaluation. Computers & Industrial Engineering, 59, 314-322.
18. Luhl, P.B., Wangl, J.H., Wangl, J.L., & Tomastikz, R.N. (1997). Near-optimal scheduling of manufacturing systems with presence of batch machines and setup requirements. Annals of the CIRP, 46, 397-402.
19. Kashan, A.H., Karimi, B., & Jolai, F. (2010). An effective hybrid multi-objective genetic algorithm for bi-criteria scheduling on a single batch processing machine with non-identical job sizes. Engineering Applications of Artificial Intelligence, 23, 911-922.
20. Kim, Y.D., Lee, D.H., Kim, J.U., & Roh, H.K. (1998). A simulation study on lot release control, mask scheduling, and batch scheduling in semiconductor wafer fabrication facilities. Journal of Manufacturing Systems, 17, 107-117.
21. Monch, L., Zimmermann, J., & Otto, P. (2006). Machine learning techniques for scheduling jobs with incompatible families and unequal ready times on parallel batch machines. Engineering Applications of Artificial Intelligence, 19, 235-245.
22. Monch, L., Balasubramanian, H., Fowler, J.W., & Pfund, M.E. (2005). Heuristic scheduling of jobs on parallel batch machines with incompatible job families and unequal ready times. Computers & Operations Research, 32, 2731-2750.
23. Neale, J.J., & Duenyas, I. (2000). Control of manufacturing networks which contain a batch processing machine. IIE Transactions, 32, 1027-1041.
24. Ryan, M., Baynat, B., & Choodineh, F. (2000). Determining inventory levels in a CONWIP controlled job shop. IIE Transactions, 32, 105-114.
25. Sharmaa, S., & Agrawalb, N. (2009). Selection of a pull production control policy under different demand situations for a manufacturing system by AHP-algorithm. Computers & Operations Research, 36, 1622-1632.
26. Spearman, M. L., Woodruff, D. L., & Hopp, W. J. (1990). CONWIP: A pull alternative to kanban. International Journal of Production Research, 28, 879-894.
27. Tardiff, V., & Maaseidvaag, L. (2001). An adaptive approach to controlling kanban systems. European Journal of Operational Research, 132, 411-424.
28. Tay, F., Lee, L.H., & Wang, L. (2002). Production Scheduling of a MEMS Manufacturing System with a Wafer Bonding Process. Journal of Manufacturing Systems, 21, 287-301.
29. Yang, T., Fub, H.P., & Yang, K.Y. (2007). An evolutionary-simulation approachfor the optimization of multi-constant work-in-process strategy-A case study. International Journal of Production Economics, 107, 104-114.