Apresentar o registro simples

Programación del personal de producción con productividades dinámicas

dc.contributor.advisorMontoya Torres, Jairo Rafael
dc.contributor.advisorVélez Gallego, Mario César
dc.contributor.authorMoreno Camacho, Carlos Alberto
dc.date.accessioned2016-02-26T21:16:16Z
dc.date.available2016
dc.date.available2016-02-26T21:16:16Z
dc.date.created2015
dc.date.issued2015-02-26
dc.identifier.citationAlfares, H. K. (2004). Survey, Categorization, and Comparison of Recent Tour Scheduling Literature. Annals of Operations Research, 127(1-4), 145–175
dc.identifier.citationAlidaee, B., & Womer, N. K. (1999). Scheduling with time dependent processing times: Review and extensions. Journal of the Operational Research Society, 50(7), 711–720.
dc.identifier.citationAl-Yakoob, S. M., & Sherali, H. D. (2007). Mixed-integer programming models for an employee scheduling problem with multiple shifts and work locations. Annals of Operations Research, 155(1), 119–142.
dc.identifier.citationArchetti, F., & Schoen, F. (1984). A survey on the global optimization problem: General theory and computational approaches. Annals of Operations Research, 1(2), 87–110.
dc.identifier.citationBeasley, J. E. (1990). OR-Library: Distributing Test Problems by Electronic Mail. Journal of Operation Research Society, 41(11), 1069–1072.
dc.identifier.citationBisschop, J. (2009). AIMMS Optimization Modeling. Schipolweg: Paragon Decision Technology B.V.
dc.identifier.citationBoudreau, J. W., Hopp, W., Mcclain, J. O., & Thomas, L. J. (2003). On the interface between operations and human resources management. Manufacturing & Service Operations Management, 5(3), 179–202.
dc.identifier.citationBrowne, S., & Yechiali, U. (1990). Scheduling deteriorating jobs on a single processor. Operations Research, 38(3), 495–498
dc.identifier.citationCheng, T. C. ., Ding, Q., & Lin, B. M. . (2004). A concise survey of scheduling with time-dependent processing times. European Journal of Operational Research, 152(1), 1–13
dc.identifier.citationDantzing, G. B. (1954). A comment on Edie´s “Traffic delays at toll booths.” Journal of the Operations Research Society of America, 2(3), 339–341.
dc.identifier.citationDe Bruecker, P., Van den Bergh, J., Beliën, J., & Demeulemeester, E. (2015). Workforce planning incorporating skills: State of the art. European Journal of Operational Research, 243(1), 1– 16.
dc.identifier.citationEdie, L. C. (1954). Traffic delays at toll booths. Journal of the Operations Research Society of America, 2(2), 107–138.
dc.identifier.citationEitzen, G., Panton, D., & Mills, G. (2004). Multi-Skilled Workforce Optimisation. Annals of Operations Research, 127(1-4), 359–372.
dc.identifier.citationEren, T. (2009). A note on minimizing maximum lateness in an m-machine scheduling problem with a learning effect. Applied Mathematics and Computation, 209(2), 186–190.
dc.identifier.citationEren, T., & Güner, E. (2007). Minimizing total tardiness in a scheduling problem with a learning effect. Applied Mathematical Modelling, 31(7), 1351–1361.
dc.identifier.citationErnst, A. T., Jiang, H., Krishnamoorthy, M., Owens, B., & Sier, D. (2004). An Annotated Bibliography of Personnel Scheduling and Rostering. Annals of Operations Research, 127(1-4), 21–144
dc.identifier.citationErnst, A. T., Jiang, H., Krishnamoorthy, M., & Sier, D. (2004). Staff scheduling and rostering: A review of applications, methods and models. European Journal of Operational Research, 153(1), 3–27.
dc.identifier.citationEstandarización, O. I. de. ISO 26000 Guía de Responsabilidad Social (2010). Suiza.
dc.identifier.citationGawiejnowicz, S. (2008). Time-Dependent Scheduling. Berlin: Springer
dc.identifier.citationGraham, R. L., Lawler, E. L., Lenstra, J. K., & Rinnooy Kan, A. H. G. (1979). Optimization and approximation in deterministic sequencing and scheduling: A survey. Annals of Discrete Mathematics, 5, 287–326.
dc.identifier.citationGroenwold, A. A., & Snyman, J. A. (2002). Global Optimization using Dynamic Search Trajectories. Journal of Global Optimization, 24(1), 51–60
dc.identifier.citationGrosse, E. H., Glocka, C. H., Jaber, M. Y., & Neumann, W. P. (2015). Incorporating human factors in order picking planning models: framework and research opportunities. International Journal of Production Research, 53(3), 695–717
dc.identifier.citationGupta, J. N. D., & Gupta, S. K. (1988). Single facility scheduling with nonlinear processing times. Computers & Industrial Engineering, 14, 387–393.
dc.identifier.citationGupta, S. K., Kunnathur, A. S., & Dandapani, K. (1987). Optimal repayment policies for multiple loans. Omega, 15(4), 323–330.
dc.identifier.citationHansen, P., & Mladenović, N. (2001). Variable neighborhood search: Principles and applications. European Journal of Operational Research, 130(3), 449–467.
dc.identifier.citationHansen, P., Mladenović, N., & Moreno Pérez, J. A. (2010). Variable neighbourhood search: methods and applications. Annals of Operations Research, 175, 367–407
dc.identifier.citationJarray, F. (2009). A 4-day or a 3-day workweeks scheduling problem with a given workforce size. Asia-Pacific Journal of Operational Research, 26(5), 685–696.
dc.identifier.citationLagaris, I. E., & Tsoulos, I. G. (2008). Stopping rules for box-constrained stochastic global optimization. Applied Mathematics and Computation, 197(2), 622–632.
dc.identifier.citationLee, W.-C., & Wu, C.-C. (2008). Multi-machine scheduling with deteriorating jobs and scheduled maintenance. Applied Mathematical Modelling, 32(3), 362–373.
dc.identifier.citationLee, W.-C., Wu, C.-C., Chung, Y.-H., & Liu, H.-C. (2009). Minimizing the total completion time in permutation flow shop with machine-dependent job deterioration rates. Computers & Operations Research, 36(6), 2111–2121.
dc.identifier.citationLodree, E. J., Geiger, C. D., & Jiang, X. (2009). Taxonomy for integrating scheduling theory and human factors: Review and research opportunities. International Journal of Industrial Ergonomics, 39(1), 39–51.
dc.identifier.citationMarín, A., & Salmerón, J. (1996). Tactical design of rail freight networks. Part II: Local search methods with statistical analysis. European Journal of Operational Research, 94(1), 43.
dc.identifier.citationMartí, R. (2003). Multi-Start Methods. In F. W. Glover & G. A. Kochenberger (Eds.), Handbook of Metaheuristics (pp. 355–368). Kluwer Academic Publishers.
dc.identifier.citationMartí, R., & Moreno Vega, J. M. (2003). MultiStart Methods. Revista Iberoamericana de Inteligencia Artificial, 7(19), 49–60
dc.identifier.citationMartí, R., Resende, M. G. C., & Ribeiro, C. C. (2013). Multi-start methods for combinatorial optimization. European Journal of Operational Research, 226(1), 1–8.
dc.identifier.citationMladenović, N., & Hansen, P. (1997). Variable neighborhood search. Computers & Operations Research, 24(11), 1097–1100.
dc.identifier.citationMoreno-Camacho, C. A., & Montoya-Torres, J. R. (2015a). Sustainability in Production Systems: A Review of Social Responsibility Issues in Workforce Scheduling. In Proceedings of the 5th Workshop on Service Orientation in Holonic and Multi-Agent Manufacturing (SOHOMA).
dc.identifier.citationMoreno-Camacho, C. A., & Montoya-Torres, J. R. (2015b). Workforce scheduling with social responsibility considerations. In Proceedings of the 4th IEEE International Conference on Advanced Logistics and Transport (ICALT) (pp. 24–29). IEEE Publishing
dc.identifier.citationMoreno-Camacho, C. A., & Montoya-Torres, J. R. (2015c). Workforce Scheduling with Social Responsibility Issues: A Systematic Review of Literature. Unpublished manuscript. Univ. de La Sabana, Chía, Colombia
dc.identifier.citationMoreno-Camacho, C. A., Montoya-Torres, J. R., & Vélez-Gallego, M. C. (2015). A Comparison of Mixed-Integer Programming Models for Workforce Scheduling with Position-dependent Processing Times. Unpublished manuscript. Univ. de La Sabana, Chía, Colombia
dc.identifier.citationMosheiov, G. (2001a). Parallel Machine Scheduling with a Learning Effect. Journal of the Operational Research Society, 52(10), 1165–1169
dc.identifier.citationMosheiov, G. (2001b). Scheduling problems with a learning effect. European Journal of Operational Research, 132(3), 687–693.
dc.identifier.citationMosheiov, G. (2005). A note on scheduling deteriorating jobs. Mathematical and Computer Modelling, 41(8-9), 883–886.
dc.identifier.citationMoslehi, G., & Jafari, A. (2010). Minimizing the number of tardy jobs under piecewise-linear deterioration. Computers & Industrial Engineering, 59(4), 573–584
dc.identifier.citationNeumann, W. P., & Dul, J. (2010). Human factors: spanning the gap between OM and HRM. International Journal of Operations & Production Management, 30(9), 923–950
dc.identifier.citationOstrowski, J. (2009). Symmetry in Integer Programming.Ph.D Thesis. Lehigh University. ProQuest Ed.
dc.identifier.citationPetrovic, S., & Vanden Berghe, G. (2012). A comparison of two approaches to nurse rostering problems. Annals of Operations Research, 194(1), 365–384
dc.identifier.citationPinedo, M. L. (2012). Scheduling: Theory, Algorithms, and Systems (4th ed.). Springer.
dc.identifier.citationPuente, J., Gómez, A., Fernández, I., & Priore, P. (2009). Medical doctor rostering problem in a hospital emergency department by means of genetic algorithms. Computers & Industrial Engineering, 56(4), 1232–1242.
dc.identifier.citationSherali, H. D., & Smith, J. C. (2001). Improving Discrete Model Representations via Symmetry Considerations. Journal Management Science, 47(10), 1396–1407.
dc.identifier.citationSun, L.-H., Sun, L.-Y., & Wang, J.-B. (2011). Single-machine scheduling to minimize total absolute differences in waiting times with deteriorating jobs. Journal of the Operational Research Society, 62, 768–775.
dc.identifier.citationTopaloglu, S., & Ozkarahan, I. (2004). An Implicit Goal Programming Model for the Tour Scheduling Problem Considering the Employee Work Preferences. Annals of Operations Research, 128(1-4), 135–158.
dc.identifier.citationVan den Bergh, J., Beliën, J., De Bruecker, P., Demeulemeester, E., & De Boeck, L. (2013). Personnel scheduling: A literature review. European Journal of Operational Research, 226(3), 367–385.
dc.identifier.citationWang, D., & Wang, J.-B. (2010). Single-machine scheduling with simple linear deterioration to minimize earliness penalties. International Journal of Advanced Manufacturing Technology, 46(1-4), 285-290
dc.identifier.citationWang, J.-B. (2009). Single machine scheduling with decreasing linear deterioration under precedence constraints. Computers & Mathematics with Applications, 58(1), 95–103.
dc.identifier.citationWang, J.-B., & Wang, J.-J. (2015). Single-machine scheduling problems with precedence constraints and simple linear deterioration. Applied Mathematical Modelling, 39(3-4), 1172–1182.
dc.identifier.citationWang, X.-R., Huang, X., & Wang, J.-B. (2011). Single-machine scheduling with linear decreasing deterioration to minimize earliness penalties. Applied Mathematical Modelling, 35(7), 3509–3515.
dc.identifier.citationWang, X.-R., & Wang, J.-J. (2013). Single-machine scheduling with convex resource dependent processing times and deteriorating jobs. Applied Mathematical Modelling, 37(4), 2388– 2393
dc.identifier.citationWei, C.-M., Wang, J.-B., & Ji, P. (2012). Single-machine scheduling with time-and-resourcedependent processing times. Applied Mathematical Modelling, 36(2), 792–798.
dc.identifier.citationWright, T. . (1936). Factors affecting the cost of airplanes. Journal of Aeronautical Sciences, 3(4), 122–128
dc.identifier.citationXu, D., & Yin, Y. (2011). Erratum to “Minimizing total tardiness in a scheduling problem with a learning effect” [Appl. Math. Model. 31 (2007) 1351–1361]. Applied Mathematical Modelling, 35(7), 3652.
dc.identifier.citationXu, D., Yin, Y., & Li, H. (2010). Comments on “A note on minimizing maximum lateness in an mmachine scheduling problem with a learning effect.” Applied Mathematics and Computation, 217(2), 939–943.
dc.identifier.citationZhao, C., & Tang, H. (2010). Single machine scheduling with past-sequence-dependent setup times and deteriorating jobs. Computers & Industrial Engineering, 59(4), 663–666.
dc.identifier.citationZielinski, R. (1981). A statistical estimate of the structure of multi-extremal problems. Mathematical Programming, 21(1), 348-356
dc.identifier.urihttp://hdl.handle.net/10818/22527
dc.description103 Páginas incluye diagramas.
dc.description.abstractEn la actualidad, tanto los consumidores como la reglamentación de diversos países y bloques comerciales prestan cada vez más importancia a los temas de responsabilidad social y bienestar de los empleados. La norma internacional de calidad ISO 26000:2010 “Guía de Responsabilidad Social (RS)”, reconoce entre otras, las prácticas laborales como materia fundamental a considerar para la definición del alcance de la política de Responsabilidad Social en las empresas y la consideración del trabajador como persona, lo que le atribuye un conjunto de condiciones particulares, diferenciándolo de las máquinas y otros recursos productivos. En este marco, el presente trabajo busca incorporar dentro de los problemas de programación de personal, factores que afectan el rendimiento de los trabajadores durante el horizonte de planeación, entendiendo que la variabilidad de los mismos tiene repercusión en el resultado de las operaciones. En particular, el modelo estudiado considera que la productividad de los trabajadores es decreciente en la medida que avanza la jornada laboral como consecuencia de factores internos del trabajo. Esta es una característica que no ha sido plenamente estudiada en la literatura académica, a pesar de su gran importancia en la práctica empresarial. En efecto, la mayoría de trabajos publicados sobre programación de operaciones y más exactamente sobre programación de personal de producción considera que los tiempos de procesamiento son perfectamente conocidos y no existe variación a lo largo del horizonte de producción.es_CO
dc.language.isospaes_CO
dc.publisherUniversidad de La Sabana
dc.sourceUniversidad de La Sabana
dc.sourceIntellectum Repositorio Universidad de La Sabana
dc.subjectPlanificación de recursos humanos -- Colombia
dc.subjectValor compartido -- Colombia
dc.subjectPlanificación empresarial -- Colombia
dc.titleProgramación del personal de producción con productividades dinámicases_CO
dc.typemasterThesis
dc.publisher.programMaestría en Gerencia de Operacioneses_CO
dc.publisher.departmentEscuela Internacional de Ciencias Económicas y Administrativases_CO
dc.type.localTesis de maestría
dc.type.hasVersionpublishedVersion
dc.rights.accessRightsopenAccesses_CO
dc.creator.degreeMagíster en Gerencia de Operaciones


Arquivos deste item

Thumbnail
Nome:
Carlos Alberto Moreno Camacho ...
Tamanho:
2.607Mb
Formato:
PDF
Descrição:
Ver documento en PDF
Visualizar/Abrir

Este item aparece na(s) seguinte(s) coleção(s)

Apresentar o registro simples