Abstract
Apparel production is characterised by labour-intensive manual operations, frequent style changes, seasonal demand and shortening production lead times. With fierce competition worldwide, many manufacturers are switching their production from mass mode to lean mode to shorten their response time to changes. In a complex mixed mode production environment, it is very important to allocate job orders to suitable production lines so as to ensure the effective utilization of production resources and on-time completion of all job orders. In this paper, planning algorithms are proposed for automatic job allocations based on group technology and genetic algorithms. For genetic algorithms based intelligent planning algorithms, single-run and multiple-run genetic algorithms are suggested. Real production data are used to validate the proposed method. The proposed algorithms has been shown being able to substantially improve planning quality. These planning algorithms are currently used by apparel manufacturers in Hong Kong as part of their routine planning operations.
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References
Axsater S., Jönsson H. (1984) Aggregation and disaggregation in hierarchical production planning. European Journal of Operational Research 17(3): 338–350
Bitran G. R., Hax A. C. (1981) Disaggregation and resource allocation using convex knapsack problems with bounded variables. Management Science 27(4): 431–441
Bitran G. R., Haas E. A., Hax A. C. (1981) Hierarchical production planning: A single stage system. Operations Research 29(4): 717–743
Chang S. H. et al (2003) Heuristic PAC model for hybrid MTO and MTS production systems. International Journal of Production Economics 85(3): 347–359
De Toni A., Meneghetti A. (2000) The production planning process for a network of firms in the textile-apparel industry. International Journal of Production Economics 65(1): 17–32
Dejonckherre J. et al (2003) The dynamics of aggregate planning. Production Planning & Control 14(6): 497–517
Erschler J., Fontan G., Merce C. (1986) Consistency of the disaggregation process in hierarchical planning. Operations Research 34(3): 464–469
Everdingen Y. V., Hillegersberg J. V., Waarts E. (2000) ERP adoption by European Midsize Companies. Communications of the ACM 43(4): 27–31
Graves S. C. (1982) Using Langrangean techniques to solve hierarchical production-planning problems. Management Science 28(3): 260–274
Hax A. C., Candea D. (1984) Production and inventory management. Prentice Hall, Inc, New Jersey
Hodge G. L. (2002) Enterprise resource planning in textiles. Journal of Textile and Apparel, Technology and Management 2(3): 1–8
Karumanasseri G., Abourizk S. (2002) Decision support system for scheduling steel fabrication projects. Journal of Construction Engineering and Management 125(5): 392–399
Leung S. C. H., Yue W., Lai K. K. (2003) Multi-site aggregate production planning with multiple objectives: A goal programming approach. Production Planning & Control 14(5): 425
Mayer, J. (2004). Not totally naked: Textiles and clothing trade in a quota-free environment. In United Nations Conference on Trade and Development Discussion Paper, 176.
McKay K. N., Wiers V. (2003) Integrated decision support for planning, scheduling, and dispatching tasks in a focused factory. Computers in Industry 50(1): 5–15
Metaxiotis K. S., Askounis D., Psarras J. (2002) Expert systems in production planning and scheduling: A state-of-the-art survey. Journal of Intelligent Manufacturing 13(4): 253–260
Özdamar L., Atli A. Ö., Bozyel M. A. (1996) Heuristic family disaggregation techniques for hierarchical production planning systems. International Journal of Production Research 34(9): 2613–2628
Rajagopalan S. (2002) Make to order or make to stock: Model and application. Management Science 48(2): 241–247
Rao U. S., Swaminathan J., Zhang J. (2004) Multiproduct inventory planning with downward substitution, stochastic demand and setup costs. IIE Transactions 36(1): 59–62
Tuunainen, V. K., & Rossi, M. (2002). E-business in apparel retailing industry - critical issues. In ECIS 2002 Conference. Poland: Gdańsk.
Vicens E. et al (2001) A design and application methodology for hierarchical production planning decision support systems in an enterprise integration context. International Journal of Production Economics 74(1–3): 5–20
Wong W. K., Kwong C. K., Mok P. Y., Ip W. H. (2006) Genetic optimization of JIT operation schedules for fabric-cutting process in apparel manufacture. Journal of Intelligent Manufacturing 17(3): 341–354
Yan H. S., Zhang X. D., Ma X. D. (2002) Karmarkar’s and interaction/pediction algorithms for iherarchical production planning flr the highest business benefit. Computers in Industry 49(2): 141–155
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Mok, P.Y., Cheung, T.Y., Wong, W.K. et al. Intelligent production planning for complex garment manufacturing. J Intell Manuf 24, 133–145 (2013). https://doi.org/10.1007/s10845-011-0548-y
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DOI: https://doi.org/10.1007/s10845-011-0548-y