Abstract
A framework to develop inputs for production visualization and decision analysis was developed for a manufacturer of windows to renovation market (custom products). The proposed framework creates a pre-planning phase for analysis and production decision taking in a company currently implementing a new ERP system. This planning uses linear programming to model different scenarios for analysis as: (i) minimize the PVC material consumption by modeling the CSP (Cutting Stock Problem), (ii) minimize the assembly time in the line or optimizing the flow based on the window configurations, (iii) minimize the assembly workers solving the ASBL (Assembly Line Balancing) problem. A complete case study is presented for the CSP problem on scenario (i).
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References
Gilmore, P.C., Gomory, R.E.: A linear programming approach to the cutting stock problem. IBM (1961)
Gilmore, P.C., Gomory, R.E.: A linear programming approach to the cutting stock problem – Part II. IBM (1963)
Liu, J., Cheng, Z., Ma, Y.S.: Product design-optimization integration via associative optimization feature modeling. In: Ma, Y.-S. (ed.) Semantic Modeling and Interoperability in Product and Process Engineering. Springer, London (2013)
Ma, Y.-S., Briton, G.A., Tor, S.B., Jin, L.Y.: Associative assembly design features: concept, implementation and application. Int. J. Adv. Manuf. Technol. 32, 434–444 (2007)
Mustakerov, I.C., Borissova, D.I.: Combinatorial optimization modeling approach for one-dimensional cutting stock problems. Int. J. Syst. Appl. Eng. Dev. 9, 13–18 (2015)
Nozarian, S., Jahan, M.V., Jalali, M.: An imperialist competitive algorithm for 1-D cutting stock problem. Int. J. Inf. Sci. 2(2), 25–36 (2013)
Pereira, V., Gomes, H.C.: Integer linear programming for the one-dimensional cutting stock problem with waste reuse. Revista GEINTEC. Sao Cristovao/SE 1(2), 01–13 (2011). ISSN 2237-0722
Ramakrishnan, P.: A conceptual framework for real-time adaptive supply chain systems based on Internet of Things (IoT). Master thesis, University of Alberta (2017)
Sajadfar, N., Xie, Y., Liu, H., Ma, Y.S.: Introduction to engineering informatics. In: Ma, Y.-S. (ed.) Semantic Modeling and Interoperability in Product and Process Engineering. Springer, London (2013)
Sajadfar, N., Xie, Y., Liu, H., Ma, Y.S.: A review of data representation of product and process models. In: Ma, Y.-S. (ed.) Semantic Modeling and Interoperability in Product and Process Engineering. Springer, London (2013). https://doi.org/10.1007/978-1-4471-5073-2_2
Tang, S.-H., Chen, G., Ma, Y.S.: Fundamental concepts of generic feature. In: Ma, Y.-S. (ed.) Semantic Modeling and Interoperability in Product and Process Engineering. Springer, London (2013). https://doi.org/10.1007/978-1-4471-5073-2_4
Souza, S.J.: Simulated annealing application in cutting stock problem. Unicamp (2012)
Spearman, M.L., Hoop, W.J.: Factory Physics. Waveland Pr. Inc., Long Grove (2011)
Suliman, S.M.A.: Pattern generating procedure for the cutting stock problem. Int. J. Prod. Econ. 74, 293–301 (2001). Elsevier
Xie, Y., Ma, Y.: Well-controlled engineering change propagation via dynamic inter-feature association map. Res. Eng. Des. 27, 311 (2016). Springer, London
Zhang, W.J., Xie, S.Q.: Agent technology for collaborative process planning: a review. Int. J. Adv. Manuf. Technol. 32, 315–325 (2007)
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Usevicius, L.A., Doucette, J., Ma, Y. (2018). Smart and Cooperative Visualization Framework for a Window Company Production. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2018. Lecture Notes in Computer Science(), vol 11151. Springer, Cham. https://doi.org/10.1007/978-3-030-00560-3_28
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DOI: https://doi.org/10.1007/978-3-030-00560-3_28
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