Modelos colaborativos para la gestión de inventarios múltiples. Aplicación en el sector artesanal colombiano
DOI:
https://doi.org/10.61799/2216-0388.677Palabras clave:
gestión inventarios, VMI, modelos estocásticos , simulaciónResumen
El objetivo de esta investigación es generar políticas de gestión de inventarios colaborativas que disminuyan los costos asociados a la gestión de inventarios y aumenten el nivel de servicio ofrecido a los clientes en el sector de las artesanías en Colombia bajo el concepto Vendor Managed Inventory. Planteando un diseño metodológico que consta de cinco fases: revisión de literatura, recopilación de información, análisis de información, formulación y solución de modelos, y generación y simulación de políticas de gestión de inventarios. Obtenido como resultado la formulación de cuatro modelos para realizar la gestión de inventarios: dos modelos estocásticos para una única materia prima y dos modelos estocásticos para múltiples materias primas. Por último, se comparan cada una de las políticas de gestión de inventarios generadas por cada modelo, seleccionando las políticas de gestión de inventarios generadas por los modelos que contemplan múltiples productos, debido a que disminuyen los costos asociados a inventarios y aumentan el nivel de servicio ofrecido a los cliente.
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A.A. Taleizadeh, I. Shokr, I. Konstantaras, and M. VafaeiNejad, “Stock replenishment policies for a vendor-managed inventory in a retailing system,” J. Retail. Consum. Serv., vol. 55, no. March, p. 102137, 2020
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C.J. Vidal Holguín, Fundamentos de control y gestión de inventarios. 2010
D.F. Pereira, J.F. Oliveira, and M.A. Carravilla, “Tactical sales and operations planning: A holistic framework and a literature review of decision-making models,” Int. J. Prod. Econ., vol. 228, no. July 2019, 2020
J.S. Kho and J. Jeong, “On reflecting optimal inventory of profit and loss perspective for production planning,” Procedia Comput. Sci., vol. 155, no. 2018, pp. 722–727, 2019
S.M. Disney, B. Ponte, and X. Wang, “The Nonlinear Dynamics of Order-Up-To Inventory Systems with Lost Sales,” IFAC-PapersOnLine, vol. 52, no. 13, pp. 2291–2296, 2019
G.Barcelli-Gómez, “Gestión, planificación y control de la producción,” Ing. Ind., 2017
P. Alejandro and A. Santamaría, “Un modelo de clasificación de inventarios para incrementar el nivel de servicio al cliente y la rentabilidad de la empresa,” SERVICE, 2012
N.J. Van Eck and L. Waltman, “Software survey: VOSviewer, a computer program for bibliometric mapping,” Scientometrics, vol. 84, no. 2, pp. 523–538, 2010
Q. Duan and T. Warren Liao, “Optimization of replenishment policies for decentralized and centralized capacitated supply chains under various demands,” Int. J. Prod. Econ., vol. 142, no. 1, pp. 194–204, 2013
M. Akbari Kaasgari, D.M. Imani, and M. Mahmoodjanloo, “Optimizing a vendor managed inventory (VMI) supply chain for perishable products by considering discount: Two calibrated meta-heuristic algorithms,” Comput. Ind. Eng., vol. 103, pp. 227–241, 2017
S.H.R. Pasandideh, S.T.A. Niaki, and A.H. Niknamfar, “Lexicographic max–min approach for an integrated vendor-managed inventory problem,” Knowledge-Based Syst., vol. 59, pp. 58–65, 2014
J. Sadeghi, S.M. Mousavi, S.T.A. Niaki, and S. Sadeghi, “Optimizing a multi-vendor multi-retailer vendor managed inventory problem: Two tuned meta-heuristic algorithms,” Knowledge-Based Syst., vol. 50, pp. 159–170, 2013
J. Sadeghi, S.M. Mousavi, S.T. . Niaki, and S. Sadeghi, “Optimizing a bi-objective inventory model of a three-echelon supply chain using a tuned hybrid bat algorithm,” Transp. Res. Part E Logist. Transp. Rev., vol. 70, pp. 274–292, 2014
J. Cai, P.R. Tadikamalla, J. Shang, and G. Huang, “Optimal inventory decisions under vendor managed inventory: Substitution effects and replenishment tactics,” Appl. Math. Model., vol. 43, pp. 611–629, 2017
S. Fang, “A triangular fuzzy demand stochastic process model for IoT,” Cogn. Syst. Res., vol. 52, pp. 531–536, 2018
E. Chinello, Z.N. Lee Herbert-Hansen, and W. Khalid, “Assessment of the impact of inventory optimization drivers in a multi-echelon supply chain: Case of a toy manufacturer,” Comput. Ind. Eng., vol. 141, p. 106232, 2020
S.M. Saad and R. Bahadori, “Introducing a Unique Inventory Control Framework for Centralized VMI and JIT Production,” IFAC-PapersOnLine, vol. 52, no. 13, pp. 1045–1050, 2019
C. Cheng, M. Qi, X. Wang, and Y. Zhang, “Multi-period inventory routing problem under carbon emission regulations,” Int. J. Prod. Econ., vol. 182, pp. 263–275, 2016
D. Popović, N. Bjelić, and G. Radivojević, “Simulation Approach to Analyse Deterministic IRP Solution of the Stochastic Fuel Delivery Problem,” Procedia - Soc. Behav. Sci., vol. 20, pp. 273–282, 2011
S. Lee and D. Kim, “An optimal policy for a single-vendor single-buyer integrated production–distribution model with both deteriorating and defective items,” Int. J. Prod. Econ., vol. 147, pp. 161–170, 2014
S. Tiwari, L. E. Cárdenas-Barrón, A. A. Shaikh, and M. Goh, “Retailer’s optimal ordering policy for deteriorating items under order-size dependent trade credit and complete backlogging,” Comput. Ind. Eng., vol. 139, no. December 2018, p. 105559, 2020
M. Sebatjane and O. Adetunji, “Economic order quantity model for growing items with imperfect quality,” Oper. Res. Perspect., vol. 6, p. 100088, 2019
A.A. Taleizadeh, I. Shokr, I. Konstantaras, and M. VafaeiNejad, “Stock replenishment policies for a vendor-managed inventory in a retailing system,” J. Retail. Consum. Serv., vol. 55, no. March, p. 102137, 2020
P.C. Martínez Carazo, “El método de estudio de caso Estrategia metodológica de la investigación científica,” Rev. científica Pensam. y Gestión, no. 20, 2011
C.J. Vidal Holguín, Fundamentos de control y gestión de inventarios. 2010
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Publicado
2021-01-01
Cómo citar
Mesa-Mojica, J. I., Castro-Silva, H. F., & Salazar-Sanabria, H. F. (2021). Modelos colaborativos para la gestión de inventarios múltiples. Aplicación en el sector artesanal colombiano. Mundo FESC, 11(21), 96–109. https://doi.org/10.61799/2216-0388.677
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Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial 4.0.
