Mostrar el registro sencillo del ítem

dc.contributor.advisorSolano Charris, Elyn Lizeth
dc.contributor.advisorMontoya Torres, Jairo Rafael
dc.contributor.authorRojas Reyes, Juan José
dc.date.accessioned2018-11-21T20:25:38Z
dc.date.available2018-11-21T20:25:38Z
dc.date.issued2018-10-17
dc.identifier.citationAbramowitz, M., Stegun, I. a., & Miller, D. (1965). Handbook of Mathematical Functions With Formulas, Graphs and Mathematical Tables (Vol. 32). Washington D.C.: National Bureau of Standards Applied Mathematics Series No. 55.
dc.identifier.citationAccorsi, R., Manzini, R., & Bortolini, M. (2012). A hierarchical procedure for storage allocation and assignment within an order-picking system. A case study. International Journal of Logistics Research and Applications, 15(6), 351–364.
dc.identifier.citationAng, M., Lim, Y. F., & Sim, M. (2012). Robust Storage Assignment in Unit-Load Warehouses. Management Science, 58(11), 2114–2130.
dc.identifier.citationAtmaca, E., & Ozturk, A. (2013). Defining order picking policy: A storage assignment model and a simulated annealing solution in AS/RS systems. Applied Mathematical Modelling, 37(7), 5069-5079
dc.identifier.citationBernal Torres, C. A. (2010). Metodología de la Investigación: administración, economía, humanidades y ciencias sociales. Ed. Colombia. Pearson Educación
dc.identifier.citationBattini, D., Calzavara, M., Persona, A., & Sgarbossa, F. (2015). Order picking system design: The storage assignment and travel distance estimation (SA&TDE) joint method. International Journal of Production Research, 53(4), 1077–1093
dc.identifier.citationBattini, D., Glock, C. H., Grosse, E. H., Persona, A., & Sgarbossa, F. (2016). Human energy expenditure in order picking storage assignment: A bi-objective method. Computers and Industrial Engineering, 94, 147–157.
dc.identifier.citationBerg, J. P. Van Den, & Zijm, W. H. M. (1999). Models for warehouse management: Classification and examples. International Journal of Production Economics, 59(1), 519–528.
dc.identifier.citationBindi, F., Manzini, R., Pareschi, A., & Regattieri, A. (2009). Similarity-based storage allocation rules in an order picking system: An application to the food service industry. International Journal of Logistics Research and Applications, 12(4), 233–247.
dc.identifier.citationBodnar, P., & Lysgaard, J. (2014). A dynamic programming algorithm for the space allocation and aisle positioning problem. Journal of the Operational Research Society, 65(9), 1315–1324.
dc.identifier.citationBortolini, M., Botti, L., Cascini, A., Gamberi, M., Mora, C., & Pilati, F. (2015). Unit-load storage assignment strategy for warehouses in seismic areas. Computers and Industrial Engineering, 87, 481–490
dc.identifier.citationBoysen, N., & Stephan, K. (2013). The deterministic product location problem under a pick-by-order policy. Discrete Applied Mathematics, 161(18), 2862–2875.
dc.identifier.citationDarós, L. C., & Carrión, V. L. (2006). La agregación de información para la toma de decisiones en la empresa. XIV Jornadas de ASEPUMA y II Encuentro Internacional.
dc.identifier.citationCarlo, H. J., & Giraldo, G. E. (2012). Toward perpetually organized unit-load warehouses. Computers & Industrial Engineering, 63(4), 1003-1012.
dc.identifier.citationChan, F. T. S., & Chan, H. K. (2011). Improving the productivity of order picking of a manual-pick and multi-level rack distribution warehouse through the implementation of class-based storage. Expert Systems with Applications, 38(3), 2686–2700.
dc.identifier.citationChen, L., Riopel, D., & Langevin, A. (2008). Minimising the peak load in a shared storage system based on the duration-of-stay of unit loads. International Journal of Shipping and Transport Logistics, 1(1), 20-36.
dc.identifier.citationChen, L., Langevin, A., & Riopel, D. (2010). The storage location assignment and interleaving problem in an automated storage/retrieval system with shared storage. International Journal of Production Research, 48(4), 991-1011.
dc.identifier.citationChen, L., Langevin, A., & Riopel, D. (2011). A tabu search algorithm for the relocation problem in a warehousing system. International Journal of Production Economics, 129(1), 147–156.
dc.identifier.citationChiang, D. M.-H., Lin, C.-P., & Chen, M.-C. (2011). The adaptive approach for storage assignment by mining data of warehouse management system for distribution centers. Enterprise Information Systems, 5(2), 219–234.
dc.identifier.citationChou, Y. C., Chen, Y. H., & Chen, H. M. (2012). Recency-based storage assignment and warehouse configuration for recurrent demands. Computers and Industrial Engineering, 62(4), 880–889
dc.identifier.citationChoy, K. L., Ho, G. T. S., & Lee, C. K. H. (2017). A RFID-based storage assignment system for enhancing the efficiency of order picking. Journal of Intelligent Manufacturing, pp. 111–129.
dc.identifier.citationChuang, Y. F., Lee, H. T., & Lai, Y. C. (2012). Item-associated cluster assignment model on storage allocation problems. Computers and Industrial Engineering, 63(4), 1171–1177.
dc.identifier.citationCruz-Domínguez, O., & Santos-Mayorga, R. (2016). Artificial Intelligence Applied To Assigned Merchandise Location in Retail Sales Systems. The South African Journal of Industrial Engineering, 27(1), 112–124.
dc.identifier.citationDijkstra, A. S., & Roodbergen, K. J. (2017). Exact route-length formulas and a storage location assignment heuristic for picker-to-parts warehouses. Transportation Research Part E: Logistics and Transportation Review, 102, 38–59.
dc.identifier.citationElbert, R., & Philipp Müller, J. (2017). Manoeuvres in manual person-to-parts order picking systems: Is there a significant influence on travel time and metabolic rates? IFAC-Papers On Line, 50(1), 6894–6899.
dc.identifier.citationEne, S., Küçükoğlu, İ., Aksoy, A., & Öztürk, N. (2016). A genetic algorithm for minimizing energy consumption in warehouses. Energy, 114, 973–980.
dc.identifier.citationEne, S., & Öztürk, N. (2012). Storage location assignment and order picking optimization in the automotive industry. The International Journal of Advanced Manufacturing Technology, 60(5), 787–797.
dc.identifier.citationFaber, N., de Koster, M. B. M., & Smidts, a. (2013). Organizing warehouse management. International Journal of Operations & Production Management, 33(9), 1230–1256.
dc.identifier.citationFontana, M. E., & Cavalcante, C. A. V. (2014). Using the efficient frontier to obtain the best solution for the storage location assignment problem. Mathematical Problems in Engineering, 2014.
dc.identifier.citationFontana, M. E., & Nepomuceno, V. S. (2017). Multi-criteria approach for products classification and their storage location assignment. International Journal of Advanced Manufacturing Technology, 88(9–12), 3205–3216.
dc.identifier.citationFranzke, T., Grosse, E. H., Glock, C. H., & Elbert, R. (2017). An investigation of the effects of storage assignment and picker routing on the occurrence of picker blocking in manual picker-to-parts warehouses. The International Journal of Logistics Management, 28(3), 841–863.
dc.identifier.citationFrazelle, E. H. (1989). Stock location assignment and order picking productivity (Doctoral dissertation, Georgia Institute of Technology)
dc.identifier.citationFrazelle, E. H. & Sojo, R. (2007). Logística de almacenamiento y manejo de materiales de clase mundial. Grupo Editorial Norma, Colombia.
dc.identifier.citationFumi, A., Scarabotti, L., & Schiraldi, M. M. (2013). Minimizing warehouse space with a dedicated storage policy. International Journal of Engineering Business Management, 5(Godište 2013), 5-21.
dc.identifier.citationGagliardi, J. P., Renaud, J., & Ruiz, A. (2014). On sequencing policies for unit-load automated storage and retrieval systems. International Journal of Production Research, 52(4), 1090–1099.
dc.identifier.citationGagliardi, J., Renaud, J., & Ruiz, A. (2012). On storage assignment policies for unit-load automated storage and retrieval systems, 50(3), 879–892.
dc.identifier.citationGarcía-Prada, K., & Mantilla-Larotta, N. (2012). Rediseño de distribución física del centro de distribución principal de Comertex s.a. Universidad Industrial de Santander
dc.identifier.citationGauss, C. F. (1876). Collected Works, vol. 3 (en alemán, publicado en 1969 y en 1987 por Göttingen.
dc.identifier.citationGlock, C. H., & Grosse, E. H. (2012). Storage policies and order picking strategies in U-shaped orderpicking sytems with a movable base. International Journal of Production Research, 50(16), 4344–4357
dc.identifier.citationGómez, A., Iglesias, M., de la Fuente, D., & Menéndez, M. (2008). Estado del arte en políticas de ubicación de productos en almacén. II International Conference on Industrial Engineering and Industrial Management, 1095–1102.
dc.identifier.citationGrosse, E. H., Glock, C. H., & Jaber, M. Y. (2013). The effect of worker learning and forgetting on storage reassignment decisions in order picking systems. Computers and Industrial Engineering, 66(4), 653–662.
dc.identifier.citationGu, J., Goetschalckx, M., & McGinnis, L. F. (2007). Research on warehouse operation: A comprehensive review. European Journal of Operational Research, 177(1), 1–21.
dc.identifier.citationGu, J., Goetschalckx, M., & McGinnis, L. F. (2010). Solving the forward-reserve allocation problem in warehouse order picking systems. Journal of the Operational Research Society, 61(6), 1013– 1021.
dc.identifier.citationGuasch, J. L. (2011). La logística como motor de la competitividad en América Latina y el Caribe. Inter-American Development Bank, 38. Retrieved from http://www.iadb.org/wmsfiles/products/ publications/documents/36610117.pdf
dc.identifier.citationGuerriero, F., Musmanno, R., Pisacane, O., & Rende, F. (2013). A mathematical model for the MultiLevels Product Allocation Problem in a warehouse with compatibility constraints. Applied Mathematical Modelling, 37(6), 4385–4398.
dc.identifier.citationGuerriero, F., Pisacane, O., & Rende, F. (2015). Comparing heuristics for the product allocation problem in multi-level warehouses under compatibility constraints. Applied Mathematical Modelling, 39(23–24), 7375–7389.
dc.identifier.citationHackman, S. T., Frazelle, E. H., Griffin, P. M., Griffin, S. O., & Vlasta, D. A. (2001). Benchmarking Warehousing and Distribution Operations: An Input-Output Approach. Journal of Productivity Analysis, 16(1), 79–100.
dc.identifier.citationHamdan, A., & (Jamie) Rogers, K. J. (2008). Evaluating the efficiency of 3PL logistics operations. International Journal of Production Economics, 113(1), 235–244.
dc.identifier.citationHausman, W. H., Schwarz, L. B., & Graves, S. C. (1976). Optimal storage assignment in automatic warehousing systems. Management science, 22(6), 629-638
dc.identifier.citationHeragu, S. S., Du, L., Mantel, R. J., & Schuur, P. C. (2005). Mathematical model for warehouse design and product allocation. International Journal of Production Research, 43(2), 327–338.
dc.identifier.citationHo, Y. C., & Liu, C. F. (2005). A design methodology for converting a regular warehouse into a zonepicking warehouse. Journal of the Chinese Institute of Industrial Engineers, 22(4), 332–345
dc.identifier.citationHompel, M., & Schmidt, T. (2006). Warehouse management: automation and organisation of warehouse and order picking systems. Springer Science & Business Media.
dc.identifier.citationHsieh, L. F., & Tsai, L. (2006). The optimum design of a warehouse system on order picking efficiency. International Journal of Advanced Manufacturing Technology, 28(5–6), 626–637.
dc.identifier.citationHui, Y. Y., Choy, K. L., Ho, G. T. S., Leung, K. H., & Lam, H. Y. (2016). A cloud-based location a system for packaged food allocation in e-fulfillment warehouse. International Journal of Engineering Business Management, 8, 1–15.
dc.identifier.citationJohnson, A., Chen, W. C., & McGinnis, L. F. (2010). Large-scale Internet benchmarking: Technology and application in warehousing operations. Computers in Industry, 61(3), 280–286.
dc.identifier.citationKim, B. S., & Smith, J. S. (2012). Slotting methodology using correlated improvement for a zonebased carton picking distribution system. Computers and Industrial Engineering, 62(1), 286–295
dc.identifier.citationKofler, M. (2014). Optimising the storage location assignment problem under dynamic conditions Optimising the Storage Location Assignment Problem Under Dynamic Conditions, (doctoral thesis), Technisch-Naturwissenschaftliche Fakultät, Austria.
dc.identifier.citationde Koster, M. B. M. (2012). Warehouse assessment in a single tour. In Warehousing in the Global Supply Chain (pp. 457-473). Springer, London
dc.identifier.citationde Koster, R., Le-Duc, T., & Roodbergen, K. J. (2007). Design and control of warehouse order picking: A literature review. European journal of operational research, 182(2), 481-501.
dc.identifier.citationde Koster, M. B. M., & Balk, B. M. (2008). Benchmarking and monitoring international warehouse operations in Europe. Production and Operations Management, 17(2), 175-183.
dc.identifier.citationKovács, A. (2011). Optimizing the storage assignment in a warehouse served by milkrun logistics. International Journal of Production Economics, 133(1), 312–318
dc.identifier.citationLam, C. H. Y., Chung, S. H., Lee, C. K. M., Ho, G. T. S., & Yip, T. K. T. (2009). Development of an OLAP based fuzzy logic system for supporting put away decision. International Journal of Engineering Business Management, 1(2), 7–12.
dc.identifier.citationLarco, J. A., de Koster, R., Roodbergen, K. J., & Dul, J. (2017). Managing warehouse efficiency and worker discomfort through enhanced storage assignment decisions. International Journal of Production Research, 55(21), 6407-6422.
dc.identifier.citationLe-Duc, T., & de Koster, R. B. M. (2005). Travel distance estimation and storage zone optimization in a 2-block class-based storage strategy warehouse. International Journal of Production Research, 43(17), 3561–3581.
dc.identifier.citationLeiras, A., de Brito Jr, I., Queiroz Peres, E., Rejane Bertazzo, T., & Tsugunobu Yoshida Yoshizaki, H. (2014). Literature review of humanitarian logistics research: trends and challenges. Journal of Humanitarian Logistics and Supply Chain Management, 4(1), 95–130.
dc.identifier.citationLi, J., Moghaddam, M., & Nof, S. Y. (2016). Dynamic storage assignment with product affinity and ABC classification—a case study. International Journal of Advanced Manufacturing Technology, 84(9–12), 2179–2194.
dc.identifier.citationMandy, Y. Y., Choy, K. L., Tan, K. H., Henry, C. W., & Edmond, L. H. (2009). The design of an RFID-enhanced autonomous storage planning system for 3PL warehouses. International Journal of Value Chain Management, 3(1), 108–128.
dc.identifier.citationManzini, R. (2006). Correlated storage assignment in an order picking system. International Journal of Industrial Engineering: Theory Applications and Practice, 13(4), 384–394.
dc.identifier.citationMeneghetti, A., & Monti, L. (2013). Sustainable storage assignment and dwell-point policies for automated storage and retrieval systems. Production Planning and Control, 24(6), 511–520.
dc.identifier.citationMeneghetti, A., & Monti, L. (2014). Multiple-weight unit load storage assignment strategies for energy-efficient automated warehouses. International Journal of Logistics Research and Applications, 17(4), 304–322
dc.identifier.citationMerigo, J. M. (2012). Probabilities in the OWA operator. Expert Systems with Applications, 39(13), 11456-11467.
dc.identifier.citationMerigó, J. M., & Casanovas, M. (2011). Decision-making with distance measures and induced aggregation operators. Computers and Industrial Engineering, 60(1), 66–76.
dc.identifier.citationMerigó, J. M., & Gil-Lafuente, A. M. (2009). The induced generalized OWA operator. Information Sciences, 179(6), 729–741.
dc.identifier.citationMerigó, J. M., Palacios-Marqués, D., & Ribeiro-Navarrete, B. (2015). Aggregation systems for sales forecasting. Journal of Business Research, 68(11), 2299–2304.
dc.identifier.citationMerigó, J. M., & Yager, R. R. (2013). Generalized Moving Averages, Distance Measures and OWA Operators. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 21(4), 533–559.
dc.identifier.citationMerigó Lindahl, J. M. (2008). Nuevas extensiones a los operadores OWA y su aplicación a los métodos de decisión. Departamento de Economía Y Organización de Empresas, 1670
dc.identifier.citationMing-Huang Chiang, D., Lin, C. P., & Chen, M. C. (2014). Data mining-based storage assignment heuristics for travel distance reduction. Expert Systems, 31(1), 81–90.
dc.identifier.citationNakamura, Y. (2000). Algorithms associated with arithmetic, geometric and harmonic means and integrable systems. Journal of Computational and Applied Mathematics, 131(2001), 161–174.
dc.identifier.citationNeubauer, R. M. (2011). Business models in the area of logistics. (N. Schweitzer & Gabler, Eds.) (1st ed.). Gabler Verlag
dc.identifier.citationOtto, A., Boysen, N., Scholl, A., & Walter, R. (2017). Ergonomic workplace design in the fast pick area. OR Spectrum, 39(4), 945–975.
dc.identifier.citationPan, J. C. H., Shih, P. H., & Wu, M. H. (2012). Storage assignment problem with travel distance and blocking considerations for a picker-to-part order picking system. Computers and Industrial Engineering, 62(2), 527–535
dc.identifier.citationPan, J. C. H., Shih, P. H., Wu, M. H., & Lin, J. H. (2015). A storage assignment heuristic method based on genetic algorithm for a pick-and-pass warehousing system. Computers and Industrial Engineering, 81, 1–13.
dc.identifier.citationPan, J. C. H., & Wu, M. H. (2009). A study of storage assignment problem for an order picking line in a pick-and-pass warehousing system. Computers and Industrial Engineering, 57(1), 261–268.
dc.identifier.citationPang, K. W., & Chan, H. L. (2017). Data mining-based algorithm for storage location assignment in a randomised warehouse. International Journal of Production Research, 55(14), 4035–4052.
dc.identifier.citationQin, K., Chen, F. Y., & Ma, L. (2015). Cutting down the travel distance of put systems at Kunming International Flower Auction Market. International Journal of Production Research, 53(12), 3573– 3585.
dc.identifier.citationQuintanilla, S., Pérez, Á., Ballestín, F., & Lino, P. (2015). Heuristic algorithms for a storage location assignment problem in a chaotic warehouse. Engineering Optimization, 47(10), 1405–1422.
dc.identifier.citationRai, S., & Ettam, R. K. (2016). Autonomous cell based storage location assignment strategy in print production environments. International Journal of Performability Engineering, 12(1), 45–54
dc.identifier.citationRamtin, F., & Pazour, J. A. (2015). Product allocation problem for an AS/RS with multiple in-theaisle pick positions. IIE Transactions (Institute of Industrial Engineers), 47(12), 1379–1396
dc.identifier.citationRegattieri, R. Manzini, & M. Gamberi (Eds.), Warehousing in the Global Supply Chain (p. pp 457- 473). Springer-Verlag London Limited 2012 457
dc.identifier.citationRodríguez, R. M., Martínez, L., Torra, V., Xu, Z. S., & Herrera, F. (2014). Hesitant Fuzzy Sets: State of the Art and Future Directions. International Journal of Intelligent Systems, 29(2), 495–524.
dc.identifier.citationRojas-Reyes Juan J., Solano-Charris Elyn L., Montoya-Torres Jairo R. (2019). The Storage Location Assignment Problem: A Literature Review, International Journal in Industrial Engineering Computations, 10(2019).
dc.identifier.citationRowley, J., & Slack, F. (2004). Conducting a literature review. Management Research News, 27(6), 31-39.
dc.identifier.citationSelviaridis, K., & Norrman, A. (2014). Performance-based contracting in service supply chains: a service provider risk perspective. Supply Chain Management: An International Journal, 19(2), 153-172.
dc.identifier.citationSeuring, S., & Gold, S. (2012). Conducting content-analysis based literature reviews in supply chain management. Supply Chain Management: An International Journal, 17(5), 544-555.
dc.identifier.citationSeuring, S., Müller, M., Westhaus, M., & Morana, R. (2005). Conducting a literature review—the example of sustainability in supply chains. In Research methodologies in supply chain management (pp. 91-106). Physica-Verlag HD
dc.identifier.citationSharma, S., & Shah, B. (2015). A proposed hybrid storage assignment framework: A case study. International Journal of Productivity and Performance Management, 64(6), 870–892.
dc.identifier.citationda Silva, D. D., de Vasconcelos, N. V. C., & Cavalcante, C. A. V. (2015). Multicriteria decision model to support the assignment of storage location of products in a warehouse. Mathematical Problems in Engineering, 2015.
dc.identifier.citationSoni, G., & Kodali, R. (2010). Internal benchmarking for assessment of supply chain performance. Benchmarking: An International Journal, 17(1), 44-76.
dc.identifier.citationWalter, R., Boysen, N., & Scholl, A. (2013). The discrete forward-reserve problem - Allocating space, selecting products, and area sizing in forward order picking. European Journal of Operational Research, 229(3), 585–594.
dc.identifier.citationWang, Y., Mou, S., & Wu, Y. (2016). Storage assignment optimization in a multi-tier shuttle warehousing system. Chinese Journal of Mechanical Engineering, 29(2), 421–429.
dc.identifier.citationWebster, S., Ruben, R. A., & Yang, K. K. (2012). Impact of storage assignment decisions on a bucket brigade order picking line. Production and Operations Management, 21(2), 276-290.
dc.identifier.citationWutthisirisart, P., Noble, J. S., & Alec Chang, C. (2015). A two-phased heuristic for relation-based item location. Computers and Industrial Engineering, 82, 94–102.
dc.identifier.citationXiao, J., & Zheng, L. (2010). A correlated storage location assignment problem in a single-blockmulti-aisles warehouse considering BOM information. International Journal of Production Research, 48(5), 1321–1338
dc.identifier.citationXu, Z. S., & Da, Q. L. (2003). An Overview of Operators for Aggregating Information. International Journal of Intelligent Systems, 18(9), 953–969.
dc.identifier.citationYager, R. R. (1993). Families of OWA operators. Fuzzy Sets and Systems, 59(2), 125–148.
dc.identifier.citationYager, R. R., & Filev, D. P. (1999). Induced Ordered Weighted Averaging operators. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 29(2), 141–150.
dc.identifier.citationYager, R. R. (1988). On ordered weighted averaging aggregation operators in multi criteria decision making. IEEE Trans. Syst. Man Cybern., 18(1), 183–190
dc.identifier.citationYang, M. F. (2008). Using simulation to object-oriented order picking system. Information Technology Journal, 7(1), 224–227.
dc.identifier.citationYang, W., Chan, F. T. S., & Kumar, V. (2012). Optimizing replenishment polices using Genetic Algorithm for single-warehouse multi-retailer system. Expert Systems with Applications, 39(3), 3081–3086.
dc.identifier.citationYang, P., Miao, L., Xue, Z., & Qin, L. (2015). An integrated optimization of location assignment and storage/retrieval scheduling in multi-shuttle automated storage/retrieval systems. Journal of Intelligent Manufacturing, 26(6), 1145-1159.
dc.identifier.citationYang, P., Peng, Y., Ye, B., & Miao, L. (2017). Integrated optimization of location assignment and sequencing in multi-shuttle automated storage and retrieval systems under modified 2n-command cycle pattern. Engineering Optimization, 49(9), 1604–1620.
dc.identifier.citationYu, Y., & de Koster, R. B. M. (2013). On the suboptimality of full turnover-based storage. International Journal of Production Research, 51(6), 1635–1647.
dc.identifier.citationZaerpour, N., de Koster, R. B. M., & Yu, Y. (2013). Storage policies and optimal shape of a storage system. International Journal of Production Research, 51(23–24), 6891–6899.
dc.identifier.citationZhang, G., Nishi, T., Turner, S. D. O., Oga, K., & Li, X. (2017). An integrated strategy for a production planning and warehouse layout problem: Modeling and solution approaches. Omega (United Kingdom), 68, 85–94.
dc.identifier.citationZimmerman, R. J., Bowlin, W. F., & Maurer, R. A. (2001). Benchmarking the Efficiency of Government Warehouse Operations: A Data Envelopment Analysis Approach. The Journal of Cost Analysis & Management, 3(1), 19-40
dc.identifier.citationZuñiga, R., & Martínez, C. (2016). A third-party logistics provider: To be or not to be a highly reliable organization. Journal of Business Research, 69(10), 4435–4453
dc.identifier.urihttp://hdl.handle.net/10818/34469
dc.description128 Páginases_CO
dc.description.abstractLos proveedores de servicios logísticos diseñan e implementan estrategias de mejoramiento para maximizar el rendimiento sus operaciones buscando la integración entre los diferentes eslabones de la cadena de suministro a partir de servicios como el transporte, almacenamiento, comercio electrónico, entre otros. Este estudio tiene como propósito diseñar un sistema de soporte para la toma de decisiones que permita resolver el problema de asignación de espacios de almacenamiento de productos (SLAP, de sus siglas en inglés). El método de investigación expuesto contempla proponer herramientas conceptuales y tecnológicas para aplicarlas en un caso de estudio real. Inicialmente, se diseña un modelo para el diagnóstico prácticas operacionales de almacenamiento. Después se formula un modelo matemático y métodos de solución basados en búsqueda local iterada y búsqueda codiciosa adaptativa aleatorizada. Posteriormente, se comparan los métodos a través del diseño experimental considerando la simulación de escenarios. Finalmente, se plantea el diseño de un sistema de soporte para la toma de decisiones que permita mejorar el sistema de administración del almacén y específicamente la asignación de espacios de los productos.es_CO
dc.formatapplication/pdfes_CO
dc.language.isospaes_CO
dc.publisherUniversidad de La Sabanaes_CO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceUniversidad de La Sabana
dc.sourceIntellectum Repositorio Universidad de La Sabana
dc.subjectIndustria textiles_CO
dc.subjectInvestigación operacionales_CO
dc.subjectModelos matemáticoses_CO
dc.subjectAlmacenamiento industriales_CO
dc.subjectDistribución física de mercancíases_CO
dc.subjectCadena de suministroses_CO
dc.subjectComercio electrónicoes_CO
dc.titleSistema de soporte para la toma de decisiones en la asignación de espacios de almacenamiento: caso de un operador logístico del sector textiles_CO
dc.typemasterThesises_CO
dc.publisher.programMaestría en Gerencia de Operacioneses_CO
dc.publisher.departmentEscuela Internacional de Ciencias Económicas y Administrativases_CO
dc.identifier.local270055
dc.identifier.localTE09899
dc.type.hasVersionpublishedVersiones_CO
dc.rights.accessRightsrestrictedAccesses_CO
dc.creator.degreeMagíster en Gerencia de Operacioneses_CO


Ficheros en el ítem

Thumbnail

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem

Attribution-NonCommercial-NoDerivatives 4.0 InternationalExcepto si se señala otra cosa, la licencia del ítem se describe como Attribution-NonCommercial-NoDerivatives 4.0 International