Abstract
A cellular manufacturing system has several advantages over conventional production methods, including reduced cycle time, less work-in-process, and cheaper setup. The manufacture of a thin-film transistor–liquid crystal display (TFT-LCD) array is a complex process that uses large machines and automated material handling systems. Consequently, the relocation of machines for the manufacture of a TFT-LCD array is unrealistic and cost prohibitive. Virtual cells can be reconfigured using production control mechanisms without physically relocating the machines. This improves the cellular manufacturing system. This is an exploratory study for the design of a virtual cell design for TFT-LCD array manufacturing. The virtual cell design is dynamically reconfigured based on the product mix changes, in order to retain the efficiency and effectiveness of the system. A practical case is used for empirical illustration. The results show that the average improvements in terms of cycle time and the level of work-in-process are 23.73 and 23.59 %, respectively. The empirical results show that the proposed methodology is successful in a practical application.
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References
Lin JT, Wu CH, Chen TL, Shih SH (2011) A stochastic programming model for strategic capacity planning in thin film transistor-liquid crystal display (TFT-LCD) industry. Comput Oper Res 38(7):992–1007
Display Search. http://www.displaysearch.com/cps/rde/xchg/displaysearch/hs.xsl/index.aspn. Accessed 24 November 2013
Park BC, Choi BK, Kim BH, Lee JH (2008) Simulation based planning and scheduling system for TFT-LCD fab. The 40th Conference on Winter Simulation. 2271–2276
Kuo Y, Yang T (2006) A case study on the operator allocation decision for TFT-LCD inspection and packaging process. J Manuf Technol Manag 17(3):363–375
Chen TL, Lin JT, Wu CH (2014) Coordinated capacity planning in two-stage thin-film-transistor liquid-crystal-display (TFT-LCD) production networks. Omega 42(1):141–156
Yang T, Shen YA (2011) The dynamic transfer batch-size decision for thin film transistor-liquid crystal display array manufacturing by artificial neural-network. Comput Ind Eng 60(4):769–776
Jeong B, Kim SW, Lee YJ (2001) An assembly scheduler for TFT LCD manufacturing. Comput Ind Eng 41(1):37–58
Venables JA (2000) Introduction to surface and thin film processes. Cambridge University Press, Cambridge
Yang T, Kuo Y, Su CT, Hou CL (2015) Lean production system design for fishing net manufacturing using lean principles and simulation optimization. J Manuf Syst 34(1):66–73
Kesen SE, Toksari MD, Güngör Z, Güner E (2009) Analyzing the behaviors of virtual cells (VCs) and traditional manufacturing systems: ant colony optimization (ACO)-based metamodels. Comput Oper Res 36(7):2275–2285
Mukattash AM, Adil MB, Tahboub KK (2002) Heuristic approaches for part assignment in cell formation. Comput Ind Eng 42(13):329–341
Slomp J, Chowdary BV, Suresh NC (2005) Design of virtual manufacturing cells: a mathematical programming approach. Robotics Comput Integr Manuf 21(3):273–288
Saad SM, Baykasoglu A, Gindy NNZ (2002) A new integrated system for loading and scheduling in cellular manufacturing. Int J Comput Integr Manuf 15(1):37–49
Rezazadeh H, Mafini R, Zarei M (2011) Solving a dynamic virtual cell formation problem by linear programming embedded particle swarm optimization algorithm. Appl Soft Comput 11(3):3160–3169
Yang T, Shen YA, Cho C, Lin YR (2012) The use of a simulation, a hybrid Taguchi, and dual response surface methods in the automated material handling system tool-to-tool strategy for a 300-mm fab. Eur J Ind Eng 6(3):281–300
Ratchev SM (2001) Concurrent process and facility prototy** for formation of virtual manufacturing cells. Integr Manuf Syst 12(4):306–315
Saad SM, Baykasoglu A, Gindy NNZ (2002) An integrated framework for reconfiguration of cellular manufacturing systems using virtual cells. Prod Plan Control 13(4):381–392
Qiu RG (2005) Virtual production line based WIP control for semiconductor manufacturing systems. Int J Prod Econ 95(2):165–178
Fung RYK, Liang F, Jiang Z, Wong TN (2008) A multi-stage methodology for virtual cell formation oriented agile manufacturing. Int J Adv Manuf Technol 36(7):798–810
Kesen SE, Das SK, Gungor Z (2010) A mixed integer programming formulation for scheduling of virtual manufacturing cells (VMCs). Int J Adv Manuf Technol 47(5–8):668–678
Sarker B, Li Z (2001) Job routing and operations scheduling: a network-based virtual cell formation approach. J Oper Res Soc 52(6):673–681
Yang T, Hsieh CH, Cheng BY (2011) Lean-pull strategy in a reentrant manufacturing environment: a pilot study for TFT-LCD array manufacturing. Int J Prod Res 49(6):1511–1529
McLean CR, Bloom HM, Hopp TH (1982) The virtual manufacturing cell. Proceedings of the 4th IFAC/IFIP Conference on Information Controlling Problems in Manufacturing Technology. Gaithersburg, MD, 1–9
Irani SA, Cavalier TM, Cohen PH (1993) Virtual manufacturing cells: exploiting layout design and intercell flows for the machine sharing problem. Int J Prod Res 31(4):791–810
Kannan VR (1997) A simulation analysis of the impact of family configuration on virtual cellular manufacturing. Prod Plan Control 8(1):14–24
Kannan VR, Ghosh S (1996) Cellular manufacturing using virtual cells. Int J Oper Production Manag 16(5):99–112
Ko KC, Egbelu PJ (2003) Virtual cell formation. Int J Prod Res 41(11):2365–2389
Mak KL, Wang XX (2002) Production scheduling and cell formation for virtual cellular manufacturing systems. Int J Adv Manuf Technol 20(2):144–152
Prince J, Kay JM (2003) Combining lean and agile characteristics: creation of virtual groups by enhanced production flow analysis. Int J Prod Econ 85(3):305–318
Baykasoğlu A (2003) Capability-based distributed layout approach for virtual manufacturing cells. Int J Prod Res 41(11):2597–2618
Baykasoğlu A, Göçken M (2010) Capability-based distributed layout and its simulation based analyses. J Intell Manuf 21(4):471–485
Hamedi M, Esmaeilian GR, Ismail N, Ariffin MKA (2012) Capability-based virtual cellular manufacturing systems formation in dual-resource constrained settings using Tabu Search. Comput Ind Eng 62(4):953–971
Li J, Wang A, Tang C (2014) Production planning in virtual cell of reconfiguration manufacturing system using genetic algorithm. Int J Adv Manuf Technol 74(1–4):47–64
Yang T, Kuo Y, Chang I (2004) Tabu-search simulation optimization approach for flow-shop scheduling with multiple processors—a case study. Int J Prod Res 42(19):4015–4030
Hopp JP, Spearman ML (2008) Factory physics, 3rd edn. McGraw Hill, New York
Kelton WD, Sadowski RP, Sturrock DT (2007) Simulation with Arena, 4th edn. McGraw-Hill, New York
Rother M, Shook J (1998) Learning to see: value stream map** to add value and eliminate Muda. The Lean Enterprise Institute, Brookline
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Yang, T., Kuo, Y., Hsieh, CH. et al. An exploratory study of virtual cell design for thin-film transistor–liquid crystal display (TFT-LCD) array manufacturing. Int J Adv Manuf Technol 83, 633–644 (2016). https://doi.org/10.1007/s00170-015-7588-y
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DOI: https://doi.org/10.1007/s00170-015-7588-y