COMPARATIVE ANALYSIS BETWEEN MODELS OF RESTRICTED MATHEMATICAL PROGRAMMING FOR INVENTORY MANAGEMENT. CASE OF STUDY IN THE MANUFACTURING CLUSTER CARTAGENA

Authors

  • Bruno de Jesús Rahmer Faculty of Engineering. Comfenalco Technological University Foundation. Cartagena Colombia.
  • José Solana Garzón Faculty of Engineering. Comfenalco Technological University Foundation. Cartagena Colombia.
  • Hernando Garzón Saénz Faculty of Engineering. Comfenalco Technological University Foundation. Cartagena Colombia.
  • Gustavo Ortiz Piedrahita Faculty of Engineering. Comfenalco Technological University Foundation. Cartagena Colombia.

Keywords:

Inventory Management, Manufacturing Cluster, Dynamic Programming, Mixed Integer Programming, Stochastic Programming

Abstract

The supply chain is a network that integrates logistics and supply activities in service providers or companies that offer tangible goods. For this reason, it is necessary to control the resources that the company conserves for their subsequent use in the manufacturing process, or to satisfy the final demand. Stock management is a key operation to produce competitive advantages. In this study a comparative analysis is carried out between various inventory models for a company in the Cartagena manufacturing cluster. Mathematical programming techniques are used in order to guarantee a continuous operational flow. Results indicate that the solutions provided by the dynamic programming model produce an inventory management policy with an optimal cost level.

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Published

2024-06-05

How to Cite

Rahmer, B. de J., Solana Garzón, J., Garzón Saénz, H., & Ortiz Piedrahita, G. (2024). COMPARATIVE ANALYSIS BETWEEN MODELS OF RESTRICTED MATHEMATICAL PROGRAMMING FOR INVENTORY MANAGEMENT. CASE OF STUDY IN THE MANUFACTURING CLUSTER CARTAGENA. Investigación Operacional, 42(1). Retrieved from https://revistas.uh.cu/invoperacional/article/view/9100

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