iipp publishingJournal of Applied Engineering Science


DOI: 10.5937/jaes16-16866
This is an open access article distributed under the CC BY-NC-ND 4.0 terms and conditions. 
Creative Commons License

Volume 16 article 561 pages: 523 - 537

Cristhian Guillermo Acosta Imbachi
Department of Industrial Engineering, Universidad del Valle, Colombia

Andrés Felipe Cano Larrahondo
Department of Industrial Engineering, Universidad del Valle, Colombia

Diego León Pena Orozco
University Corporation Minuto de Dios, Department of engineering, Industrial Engineering, Colombia

Inventory management along the agrifood supply chain is a subject of great interest due to the constraints related with the perishable condition of product. Significant problems like demand forecasting, inventory management and transportation was evidenced within the supply chain studied. Additionally, the management of perishables and their life-cycle are the most frequently issue in this kind of supply chain.An inventory management policy is defined taking in consideration the optimal quantity for an order and the time for ordering so as to ward off costs related with under-stock or overstock. This paper presents a mathematical model for inventory management in agricultural supply chains considering perish-ability. The supply chain studied involves a retailer, a producer and a supplier. The advantages of integrating inventory management along the supply chain are discussed and finally some recommendations and research opportunities set forth.
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1. United Nations. (2015). Report of the UNCTAD secretariat presented at the United Nations Conference on Trade and Development.

2. Vianchá, Z. (2014). Modelos y confi guraciones de cadenas de suministro en productos perecederos, 32(1), 1–8.

3. Lan, H., Zhao, L., Su, L. and Liu, Z.Food Cold Chain Equilibrium Based on Collaborative Replenishment, Journal of Applied Research and Technology, vol. 12, no. 2, pp. 201-211, 2014.

4. Shukla, M. & Jharkharia, S. (2013). Agri-fresh produce supply chain management: a state of the art literature review. International Journal Of Operations & Production Management, 33(2), 114-158.

5. Vidal Holguín, C. (2010). Fundamentos de control y gestión de inventarios (1st ed.). Santiago de Cali: Programa Editorial Universidad del Valle.

6. Taha, H. and Navarro Salas, R. Investigació n de operaciones, 9th ed. Mexico, D.F.: Pearson Educació n, 2015, pp. 457-488.

7. Chase, R., Jacobs, F. and Aquilano, N.Administració n de operaciones, 12th ed. Mé xico: McGraw-Hill, 2009, pp. 540-580.

8. Rau, H., Wu, M. Y., & Wee, H. M. (2003). Integrated inventory model for deteriorating items under a multi-echelon supply chain environment. International Journal of Production Economics, 86(2), 155–168.

9. Yang, P., & Wee, H. (2001). A single-vendor multi-buyers integrated inventory policy for a deteriorating item. Journal Of The Chinese Institute Of Industrial Engineers, 18(5), 23-30.

10. Cannella S, Ciancimino E, & Disney S. (2010). Los cuatro arquetipos de cadenas de suministro. Universia Business Review, p. 1698-5117.

11. Liao, K., Marsillac, E., Johnson, E., & Liao, Y. (2011). Global supply chain adaptations to improve financial performance. Journal Of Manufacturing Technology Management, 22(2), 204-222.

12. Arshinder, Kanda, A., & Deshmukh, S. G. (2008). Supply chain coordination: perspectives, empirical studies and research directions. International journal of production Economics, 115(2), 316-335.

13. Ahumada, O. & Villalobos, J. (2009). Application of planning models in the agri-food supply chain: A review. European Journal Of Operational Research, 196(1), 1-20.

14. Seuring, S. & Müller, M. (2008). From a literature review to a conceptual framework for sustainable supply chain management. Journal Of Cleaner Production, 16(15), 1699-1710.

15. Zhu, X., Zhang, R.,Chu,F.,He, Z. and Li,J.A Flexsim-based Optimization for the Operation Process of Cold-Chain Logistics Distribution Centre, Journal of Applied Research and Technology, vol. 12, no. 2, pp. 270-278, 2014.

16. Zheng,T.Y. and Wang,M.Application of Quality Cost and Quality Loss Function in Food Supply Chain Systems Modeling, Journal of System and Management Sciences, Vol. 2, no. 1, pp. 19-30, 2012.

17. Cedillo-Campos, M and Sanchez-Ramirez, C, Dynamic Self-Assessment of Supply Chains Performance: an Emerging Market Approach, Journal of Applied Research and Technology, Vol. 11, pp. 338-347, 2013.

18. Pawlewski, P. (2015). Coordination in the Supply Chain. In 10th International Conference on Soft Computing Models in Industrial and Environmental Applications (pp. 439-450). Springer, Cham

19. Ghare, P.M., Schrader, S.F., 1963. A model for exponentially decaying inventory. Journal of Industrial Engineering 14, 238–243.

20. Bustos, A., Herrera, L. and Jiménez,E. Effi cient Frontier for Multi-Objective Stochastic Transportation Networks in International Market of Perishable Goods, Journal of Applied Research and Technology, vol. 12, no. 4, pp. 654-665, 2014.