Collaborative models for managing multiple inventories. Application in the colombian art is an sector
DOI:
https://doi.org/10.61799/2216-0388.677Keywords:
inventory management, VMI, stochastic models, simulationAbstract
The objective of this research is to generate collaborative inventory management policies that reduce the costs associated with inventory management and increase the level of service offered to customers in the handicrafts sector in Colombia under the Vendor Managed Inventory concept. Posing a methodological design that consists of five phases: literature review, information gathering, information analysis, model formulation and solution, and generation and simulation of inventory management policies. The result was the formulation of four models to carry out inventory management: two stochastic models for a single raw material and two stochastic models for multiple raw materials. Finally, each one of the inventory management policies generated by each model is compared, selecting the inventory management policies generated by the models that include multiple products, since they reduce the costs associated with inventories and increase the level of service offered to costumers.
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References
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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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Published
2021-01-01
How to Cite
Mesa-Mojica, J. I., Castro-Silva, H. F., & Salazar-Sanabria, H. F. (2021). Collaborative models for managing multiple inventories. Application in the colombian art is an sector. Mundo FESC Journal, 11(21), 96–109. https://doi.org/10.61799/2216-0388.677
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