يعرض 1 - 10 نتائج من 42 نتيجة بحث عن '"Romero-Conrado, Alfonso R."', وقت الاستعلام: 1.02s تنقيح النتائج
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    دورية أكاديمية
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    دورية أكاديمية
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    دورية أكاديمية

    وصف الملف: 6 páginas; application/pdf

    العلاقة: Procedia Computer Science; [1] Boysen N, Fliedner M, Scholl A. A classification of assembly line balancing problems. European Journal of Operational Research 2007;183. https://doi.org/10.1016/j.ejor.2006.10.010Test.; [2] Pearce BW, Antani K, Mears L, Funk K, Mayorga ME, Kurz ME. An effective integer program for a general assembly line balancing problem with parallel workers and additional assignment restrictions. Journal of Manufacturing Systems 2019;50. https://doi.org/10.1016/j.jmsy.2018.12.011Test.; [3] Chutima P. Research trends and outlooks in assembly line balancing problems. Engineering Journal 2020;24. https://doi.org/10.4186/ej.2020.24.5.93Test.; [4] la Scalia G, Micale R, Aiello G, Enea M. Solving type-2 assembly line balancing problem with fuzzy binary linear programming. Journal of Intelligent and Fuzzy Systems 2013;25:517–24. https://doi.org/10.3233/IFS120656Test.; [5] Pastor R, Ferrer L, García A. Evaluating Optimization Models to Solve SALBP. Lecture Notes in Computer Science, vol. 4705, 2007, p. 791–803.; [6] Boysen N, Schulze P, Scholl A. Assembly line balancing: What happened in the last fifteen years? European Journal of Operational Research 2021. https://doi.org/10.1016/j.ejor.2021.11.043Test.; [7] Raji IO, Rossi T. Optimizing Supply Chain Network Design with SALBP-E Assembly line issue. Proceedings of the International Conference on Industrial Engineering and Operations Management, Paris, France: 2018.; [8] Kilincci O. Firing sequences backward algorithm for simple assembly line balancing problem of type 1. Computers & Industrial Engineering 2011;60:830–9. https://doi.org/10.1016/j.cie.2011.02.001Test.; [9] Jiao YL, Jin HQ, Xing XC, Li MJ, Liu XR. Assembly line balance research methods, literature and development review. Concurrent Engineering Research and Applications 2021;29. https://doi.org/10.1177/1063293X20987910Test.; [10] Jirasirilerd G, Pitakaso R, Sethanan K, Kaewman S, Sirirak W, Kosacka-Olejnik M. Simple assembly line balancing problem type 2 by variable neighborhood strategy adaptive search: A case study garment industry. Journal of Open Innovation: Technology, Market, and Complexity 2020;6. https://doi.org/10.3390/JOITMC6010021Test.; [11] Bakar NA, Ramli MF, Zakaria MZ, Sin TC, Masran H. Minimization of Bottleneck and Workstations for Assembly Line Balancing Problem in Power Transformer Manufacturing Using Heuristics. 2018 IEEE 5th International Conference on Smart Instrumentation, Measurement and Application, ICSIMA 2018, 2019. https://doi.org/10.1109/ICSIMA.2018.8688780Test.; [12] Sagastume Gutiérrez A, Cabello Eras JJ, Sousa Santos V, Hernández Herrera H, Hens L, Vandecasteele C. Electricity management in the production of lead-acid batteries: The industrial case of a production plant in Colombia. Journal of Cleaner Production 2018;198. https://doi.org/10.1016/j.jclepro.2018.07.105Test.; [13] Morejón MB, Eras JJC, Gutierrez AS, Santos VS, Gómez YP, Rueda-Bayona JG. Factors affecting the electricity consumption and productivity of the lead acid battery formation process. The case of a battery plant in Colombia. International Journal of Energy Economics and Policy 2019;9:103–12. https://doi.org/10.32479/ijeep.8021Test.; [14] Erdoğan A, Talı A, Kırcalı B, Günal B, Dedecengiz EN, Yüksel D, et al. Parallel Workforce Assignment Problem for Battery Production. Lecture Notes in Mechanical Engineering, 2022. https://doi.org/10.1007/978Test- 3-030-90421-0_64.; [15] Grassi YS, Brignole NB, Díaz MF. Vehicular fleet characterisation and assessment of the on-road mobile source emission inventory of a Latin American intermediate city. Science of the Total Environment 2021;792. https://doi.org/10.1016/j.scitotenv.2021.148255Test.; [16] Navas E, Riquett A. Propuesta de mejora para incrementar la productividad en la fabricación de placas expandidas de baterías plomo-ácido a través de balanceo de líneas. Universidad de la Costa, 2021.; [17] Belkharroubi L, Yahyaoui K. Maximization of the assembly line efficiency using an approach based on Genetic Algorithm. 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology, 2022. https://doi.org/10.1109/IRASET52964.2022.9737934Test.; 530; 525; 203; https://hdl.handle.net/11323/10807Test; Corporación Universidad de la Costa; REDICUC – Repositorio CUC; https://repositorio.cuc.edu.coTest/

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    دورية أكاديمية

    مصطلحات موضوعية: Barge, Pipeline runway, Hydrology, Variation in water levels

    وصف الملف: 6 páginas; application/pdf

    العلاقة: Procedia Computer Science; [1] A. Gonzalez-Alvarez, O. E. Coronado-Hernández, V. S. Fuertes-Miquel, and H. M. Ramos, “Effect of the non-stationarity of rainfall events on the design of hydraulic structures for runoff management and its applications to a case study at Gordo Creek watershed in Cartagena de Indias, Colombia,” Fluids, vol. 3, no. 2, 2018, doi:10.3390/fluids3020027.; [2] J. Obeysekera and J. D. Salas, “Quantifying the Uncertainty of Design Floods under Nonstationary Conditions,” J. Hydrol. Eng., vol. 19, no. 7, pp. 1438–1446, 2014, doi:10.1061/(asce)he.1943-5584.0000931.; [3] Ó. E. Coronado-Hernández, E. Merlano-Sabalza, Z. Díaz-Vergara, and J. R. Coronado-Hernández, “Selection of hydrological probability distributions for extreme rainfall events in the regions of Colombia,” Water (Switzerland), vol. 12, no. 5, 2020, doi:10.3390/W12051397.; [4] D. Butler and J. W. Davies, Urban Drainage, 2nd ed. Taylor & Francis Group, 2004.; [5] Ministerio de Vivienda, Reglamento Técnico del Sector de Agua Potable y Saneamiento Básico - RAS. Colombia, 2017.; [6] A. González-álvarez, O. M. Viloria-Marimón, O. E. Coronado-Hernández, A. M. Vélez-Pereira, K. Tesfagiorgis, and J. R. CoronadoHernández, “Isohyetal maps of daily maximum rainfall for different return periods for the Colombian Caribbean Region,” Water (Switzerland), vol. 11, no. 2, 2019, doi:10.3390/w11020358.; [7] X. Bai, Luo, H., and Xie, P. Experimental investigation on hydrodynamic performance of side-by-side three barges in topsides floatover installation in beam seas. Ocean Engineerig 236, 2021.; [8] M. Naskar, Das, S., Sahu, S., Gogoi, P., and Das, B. Impact of barge movement on phytoplankton diversity in a river: A Bayesian risk estimation framework. Journal of Enviremental Management, 295, 2021.; 554; 198; 559; https://hdl.handle.net/11323/9218Test; https://doi.org/10.1016/j.procs.2021.12.285Test; Corporación Universidad de la Costa; REDICUC - Repositorio CUC; https://repositorio.cuc.edu.coTest/

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    دورية أكاديمية
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    دورية أكاديمية
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    كتاب

    وصف الملف: 1 página; application/pdf

    العلاقة: Communications in Computer and Information Science; Applied Computer Sciences in Engineering; Benjaoran, V., Bhokha, S.: Three-step solutions for cutting stock problem of construction steel bars. KSCE J. Civ. Eng. 18(5), 1239–1247 (2014). https://doi.org/10.1007/s12205-014-0238-3Test; Benjaoran, V., Sooksil, N., Metham, M.: Effect of demand variations on steel bars cutting loss. Int. J. Constr. Manag. 19(2), 137–148 (2019). https://doi.org/10.1080/15623599.2017.1401258Test; Cheng, C.H., Feiring, B.R., Cheng, T.C.: The cutting stock problem - a survey. Int. J. Prod. Econ. 36(3), 291–305 (1994). https://doi.org/10.1016/0925-5273Test(94)00045-X; Cherri, A.C., Arenales, M.N., Yanasse, H.H., Poldi, K.C., Gonçalves Vianna, A.C.: The one-dimensional cutting stock problem with usable leftovers - a survey. Eur. J. Oper. Res. 236(2), 395–402 (2014). https://doi.org/10.1016/j.ejor.2013.11.026Test; Cui, Y., Yang, Y.: A heuristic for the one-dimensional cutting stock problem with usable leftover. Eur. J. Oper. Res. 204(2), 245–250 (2010). https://doi.org/10.1016/j.ejor.2009.10.028Test; Dell’Amico, M., Furini, F., Iori, M.: A branch-and-price algorithm for the temporal bin packing problem. Comput. Oper. Res. 114, 104825 (2020). https://doi.org/10.1016/j.cor.2019.104825Test; Delorme, M., Iori, M.: Enhanced pseudo-polynomial formulations for bin packing and cutting stock problems. INFORMS J. Comput. 32(1), 101–119 (2020). https://doi.org/10.1287/IJOC.2018.0880Test; Dyckhoff, H.: New linear programming approach to the cutting stock problem. Oper. Res. 29(6), 1092–1104 (1981). https://doi.org/10.1287/opre.29.6.1092Test; Dyckhoff, H.: A typology of cutting and packing problems. Eur. J. Oper. Res. 44(2), 145–159 (1990). https://doi.org/10.1016/0377-2217Test(90)90350-K; Filho, A.A., Moretti, A.C., Pato, M.V.: A comparative study of exact methods for the bi-objective integer one-dimensional cutting stock problem. J. Oper. Res. Soc. 69(1), 91–107 (2018). https://doi.org/10.1057/s41274-017-0214-7Test; Gilmore, P.C., Gomory, R.E.: A linear programming approach to the cutting stock problem-Part II. Oper. Res. 11(6), 863–888 (1963). https://doi.org/10.1287/opre.11.6.863Test; Golden, B.L.: Approaches to the cutting stock problem. AIIE Trans. 8(2), 265–274 (1976). https://doi.org/10.1080/05695557608975076Test; Jahromi, M.H., Tavakkoli-Moghaddam, R., Makui, A., Shamsi, A.: Solving an one-dimensional cutting stock problem by simulated annealing and tabu search. J. Ind. Eng. Int. 8(1), 24 (2012). https://doi.org/10.1186/2251-712X-8-24Test; Kantorovich, L.V.: Mathematical methods of organizing and planning production. Manag. Sci. 6(4), 366–422 (1960). https://doi.org/10.1287/mnsc.6.4.366Test; Lackes, R., Siepermann, M., Noll, T.: The problem of one-dimensionally cutting bars with alternative cutting lengths in the tubes rolling process. In: IEEE International Conference on Industrial Engineering and Engineering Management, pp. 1627–1631. IEEE Computer Society, Department of Business Information Management, Technische Universität Dortmund, Dortmund, Germany (2012). https://doi.org/10.1109/IEEM.2012.6838022Test; Lemos, F.K., Cherri, A.C., de Araujo, S.A.: The cutting stock problem with multiple manufacturing modes applied to a construction industry. Int. J. Prod. Res. 59(4), 1–19 (2020). https://doi.org/10.1080/00207543.2020.1720923Test; Maher, R.A., Melhem, N.N., Almutlaq, M.: Developing a control and management system for reinforcement steel-leftover in industrial factories. IFAC-PapersOnLine 52(13), 625–629 (2019). https://doi.org/10.1016/j.ifacol.2019.11.091Test; Moussavi Nadoushani, Z.S., Hammad, A.W., Xiao, J., Akbarnezhad, A.: Minimizing cutting wastes of reinforcing steel bars through optimizing lap splicing within reinforced concrete elements. Constr. Build. Mater. 185, 600–608 (2018). https://doi.org/10.1016/j.conbuildmat.2018.07.023Test; Pitombeira-Neto, A.R., Prata, B.d.A.: A matheuristic algorithm for the one-dimensional cutting stock and scheduling problem with heterogeneous orders. Top 28(1), 178–192 (2020). https://doi.org/10.1007/s11750-019-00531-3Test; Romero-Conrado, A.R., Coronado-Hernandez, J.R., Rius-Sorolla, G., García-Sabater, J.P.: A Tabu list-based algorithm for capacitated multilevel lot-sizing with alternate bills of materials and co-production environments. Appl. Sci. (Switzerland) 9(7), 1464 (2019). https://doi.org/10.3390/app9071464Test; Rothe, M., Reyer, M., Mathar, R.: Process optimization for cutting steel-plates. In: Liberatore, F., Parlier, G.H., Demange, M. (eds.) ICORES 2017 - Proceedings of the 6th International Conference on Operations Research and Enterprise Systems, vol. 2017-Janua, pp. 27–37. SCITEPRESS - Science and Technology Publications, Institute for Theoretical Information Technology, RWTH Aachen University, Kopernikusstraße 16, Aachen, 52074, Germany (2017). https://doi.org/10.5220/0006108400270037Test; Valério De Carvalho, J.M.: Exact solution of bin-packing problems using column generation and branch-and-bound. Ann. Oper. Res. 86(0), 629–659 (1999). https://doi.org/10.1023/a:1018952112615Test; Vance, P.H., Barnhart, C., Johnson, E.L., Nemhauser, G.L.: Solving binary cutting stock problems by column generation and branch-and-bound. Comput. Optim. Appl. 3(2), 111–130 (1994). https://doi.org/10.1007/BF01300970Test; Vanderbeck, F.: Computational study of a column generation algorithm for bin packing and cutting stock problems. Math. Program. Ser. B 86(3), 565–594 (1999). https://doi.org/10.1007/s101070050105Test; Varela, R., Vela, C.R., Puente, J., Sierra, M., González-Rodríguez, I.: An effective solution for a real cutting stock problem in manufacturing plastic rolls. Ann. Oper. Res. 166(1), 125–146 (2009). https://doi.org/10.1007/s10479-008-0407-1Test; Wäscher, G., Haußner, H., Schumann, H.: An improved typology of cutting and packing problems. Eur. J. Oper. Res. 183(3), 1109–1130 (2007). https://doi.org/10.1016/j.ejor.2005.12.047Test; Yang, C.T., Sung, T.C., Weng, W.C.: An improved tabu search approach with mixed objective function for one-dimensional cutting stock problems. Adv. Eng. Softw. 37(8), 502–513 (2006). https://doi.org/10.1016/j.advengsoft.2006.01.005Test; 326; 315; Morillo-Torres, D., Baena, M.T., Escobar, J.W., Romero-Conrado, A.R., Coronado-Hernández, J.R., Gatica, G. (2021). A Mixed-Integer Linear Programming Model for the Cutting Stock Problem in the Steel Industry. In: Figueroa-García, J.C., Díaz-Gutierrez, Y., Gaona-García, E.E., Orjuela-Cañón, A.D. (eds) Applied Computer Sciences in Engineering. WEA 2021. Communications in Computer and Information Science, vol 1431. Springer, Cham. https://doi.org/10.1007/978-3-030-86702-7_27Test; https://hdl.handle.net/11323/9356Test; https://doi.org/10.1007/978-3-030-86702-7_27Test; Corporación Universidad de la Costa; REDICUC - Repositorio CUC; https://repositorio.cuc.edu.coTest/

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    كتاب

    المصدر: Lecture Notes in Computer Science ; Advances in Swarm Intelligence ; page 651-660 ; ISSN 0302-9743 1611-3349 ; ISBN 9783030539559 9783030539566

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    دورية أكاديمية

    المصدر: IJMSOR: International Journal of Management Science & Operation Research ; http://ijmsoridi.com/index.php/ijmsor/article/view/111Test

    وصف الملف: application/pdf

    العلاقة: IJMSOR; Vol. 5, Núm. 1 (2020); IJMSOR: International Journal of Management Science & Operation Research; [1] H. Lasi, P. Fettke, H.-G. Kemper, T. Feld, and M. Hoffmann, “Industrie 4.0 Auslöser,” Wirtschaftsinformatik, vol. 56, no. 4, pp. 261–264, 2014.; [2] A. R. Romero-Conrado, L. J. Castro-Bolaño, J. R. Montoya-Torres, and M. Á. Jiménez Barros, “Operations research as a decision-making tool in the health sector: A state of the art,” DYNA, vol. 84, no. 201, p. 129, May 2017.; [3] L. Galvis Leal, L. Orozco De Alba, and A. R. RomeroConrado, “Desarrollo, tendencias, aplicaciones y herramientas de la industria 4.0 en el sector textil,” Boletín Innovación, Logística y Operaciones - BILO, vol. 2, no. 1, Aug. 2020.; [4] P. Jayanthi, M. Iyyanki, A. Mothkuri, and P. Vadakattu, “Fourth Industrial Revolution: An Impact on Health Care Industry,” in Advances in Intelligent Systems and Computing, 2020, vol. 965, pp. 58–69.; [5] H. A. Park, “Are We Ready for the Fourth Industrial Revolution?,” Yearb. Med. Inform., 2016.; [6] M. Elhoseny, A. Abdelaziz, A. S. Salama, A. M. Riad, K. Muhammad, and A. K. Sangaiah, “A hybrid model of Internet of Things and cloud computing to manage big data in health services applications,” Futur. Gener. Comput. Syst., vol. 86, pp. 1383–1394, Sep. 2018.; [7] M. S. Packianather, N. L. Munizaga, S. Zouwail, and M. Saunders, “Development of soft computing tools and IoT for improving the performance assessment of analysers in a clinical laboratory,” in 2019 14th Annual Conference System of Systems Engineering, SoSE 2019, 2019, pp. 158–163.; [8] X. Larrucea, M. Moffie, S. Asaf, and I. Santamaria, “Towards a GDPR compliant way to secure European cross border Healthcare Industry 4.0,” Comput. Stand. Interfaces, vol. 69, p. 103408, Mar. 2020.; [9] O. O. Ajayi, A. B. Bagula, and K. Ma, “Fourth industrial revolution for development: The relevance; [10] S. Tanwar, K. Parekh, and R. Evans, “Blockchainbased electronic healthcare record system for healthcare 4.0 applications,” J. Inf. Secur. Appl., 2020.; [11] M. Alloghani, D. Al-Jumeily, A. Hussain, A. J. Aljaaf, J. Mustafina, and E. Petrov, “Healthcare Services Innovations Based on the State of the Art Technology Trend Industry 4.0,” in Proceedings - International Conference on Developments in eSystems Engineering, DeSE, 2019, vol. 2018-Septe, pp. 64–70.; [12] D. Sudana and A. W. R. Emanuel, “How Big Data in Health 4.0 Helps Prevent the Spread of Tuberculosis,” in Proceedings - 2019 2nd International Conference on Bioinformatics, Biotechnology and Biomedical Engineering - Bioinformatics and Biomedical Engineering, BioMIC 2019, 2019.; [13] W. Z. Khan, M. H. Rehman, H. M. Zangoti, M. K. Afzal, N. Armi, and K. Salah, “Industrial internet of things: Recent advances, enabling technologies and open challenges,” Comput. Electr. Eng., 2020.; [14] G. Aceto, V. Persico, and A. Pescapé, “Industry 4.0 and Health: Internet of Things, Big Data, and Cloud Computing for Healthcare 4.0,” Journal of Industrial Information Integration, vol. 18. Elsevier B.V., p. 100129, Jun-2020.; [15] P. Bellitti, M. Bona, M. Borghetti, E. Sardini, M. Serpelloni, and S. Fontana, “Reconfigurable measuring system for the automatic detection of bacterial growth in a specimen processing platform,” Acta IMEKO, 2019.; [16] M. Javaid and A. Haleem, “Impact of industry 4.0 to create advancements in orthopaedics,” J. Clin. Orthop. Trauma, 2020.; [17] M. Javaid, A. Haleem, R. Vaishya, S. Bahl, R. Suman, and A. Vaish, “Industry 4.0 technologies and their applications in fighting COVID-19 pandemic,” Diabetes Metab. Syndr. Clin. Res. Rev., 2020.; [18] S. Sun, X. Zheng, J. Villalba-Díez, and J. OrdieresMeré, “Indoor air-quality data-monitoring system: Long-term monitoring benefits,” Sensors (Switzerland), vol. 19, no. 19, p. 4157, Oct. 2019; [19] M. Erol, “Occupational health and work safety systems in compliance with industry 4.0: Research directions,” Int. J. Ebus. eGovernment Stud., vol. 11, no. 2, pp. 121–133, 2019.; [20] P. Calvo, “Bioethics of Things: On the algorithmization of moral deliberation in clinical practice,” Filos. Unisinos, vol. 20, no. 2, pp. 155–162, 2019.; [21] G. Daú, A. Scavarda, L. F. Scavarda, and V. J. T. Portugal, “The healthcare sustainable supply chain 4.0: The circular economy transition conceptual framework with the corporate social responsibility mirror,” Sustain., 2019.; [22] D. C. Landinez-Lamadrid, D. G. Ramirez-Ríos, D. Neira Rodado, K. Parra Negrete, and J. P. Combita Niño, “Shapley Value: its algorithms and application to supply chains,” INGE CUC, vol. 13, no. 1, pp. 61– 69, Jan. 2017.; [23] A. Sánchez Comas, A. Troncoso Palacio, S. Troncoso Mendoza, and D. Neira Rodado, “Application of taguchi experimental design for identication of factors influence over 3D printing time with fused deposition modeling,” IJMSOR, vol. 1, no. 1, pp. 43– 48, 2016.; [24] F. Cui, L. Ma, G. Hou, Z. Pang, Y. Hou, and L. Li, “Development of smart nursing homes using systems engineering methodologies in industry 4.0,” Enterp. Inf. Syst., vol. 14, no. 4, pp. 463–479, 2020.; [25] C. Chute and T. French, “Introducing care 4.0: An integrated care paradigm built on industry 4.0 capabilities,” Int. J. Environ. Res. Public Health, 2019.; [26] D. V. Dimitrov, “Medical internet of things and big data in healthcare,” Healthcare Informatics Research. 2016.; IJMSOR; 2539-5416 electrónico; https://hdl.handle.net/11323/6936Test; https://doi.org/10.17981/ijmsor.05.01.01Test; Corporación Universidad de la Costa; REDICUC - Repositorio CUC; https://repositorio.cuc.edu.coTest/