An inventory allocation model for cost reduction in the supply chain of a payment means company

Authors

  • Maurício Gumiero da Silva São Paulo State University (UNESP), São Paulo, SP, Brazil.
  • Ernée Kozyreff Filho São Paulo State University (UNESP), São Paulo, SP, Brazil. https://orcid.org/0000-0001-9474-6433
  • Elias Carlos Aguirre Rodríguez São Paulo State University (UNESP), São Paulo, SP, Brazil. https://orcid.org/0000-0003-1120-1708
  • Fernando Augusto Silva Marins São Paulo State University (UNESP), São Paulo, SP, Brazil. https://orcid.org/0000-0001-6510-9187

DOI:

https://doi.org/10.14488/1676-1901.v24i3.5069

Keywords:

Supply chain management, Acquiring market, SIMcard, Inventory model, Transportation and inventory costs

Abstract

The Supply Chain Management (SCM) has been gaining greater relevance in the sector, leading companies to improve the level of customer service and keep costs under control. However, it was identified that SCM is a less explored field in the acquirer market, so this work is an opportunity to contribute to the academic research. It was observed the opportunity to build an inventory model considering transportation as a variable cost, unlike most models found in literature. The objective of the study was to develop an inventory allocation model for the SIMcard chain in a Brazilian company in the acquiring sector, keeping the service level agreed with the customer. Inventory and transport costs were calculated for different supply cycles for all SIMcards operators and transportation hubs, to obtain the lowest total cost configuration in the supply chain. The results show that the costs cannot be considered individually and considering both costs, transport and inventory, there is an opportunity to increase efficiency in the studied operation of this work.

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Author Biographies

Maurício Gumiero da Silva, São Paulo State University (UNESP), São Paulo, SP, Brazil.

Graduated in Mechanical Production Engineering from São Paulo State University (UNESP) and holds a Master's degree in Production Engineering with a focus on Operational Research from the same institution. He has over 10 years of professional experience, primarily in logistics and planning. Currently, he serves as the Supply Chain and Budget Coordinator at Itaú.

Ernée Kozyreff Filho, São Paulo State University (UNESP), São Paulo, SP, Brazil.

Graduated in Aeronautical Infrastructure Engineering from the Aeronautics Institute of Technology, holds a Master's degree in Production Engineering from the same institution, a Master's degree in Mathematics from Texas Tech University – USA, and a Ph.D. in Production Engineering from Texas Tech University – USA. He specializes in mathematical optimization and is currently an Analytical Projects Engineer at Klabin SA.

Elias Carlos Aguirre Rodríguez, São Paulo State University (UNESP), São Paulo, SP, Brazil.

Graduated in Statistical Sciences from the National University of Trujillo – Peru (2019) and holds a Master's degree in Engineering in Production from São Paulo State University – UNESP (2023). He has experience in Probability and Statistics, Computer Science, and Production Engineering, with a focus on Applied Statistics, Multivariate Analysis, Demography, Data Science, Sampling Techniques, Data Analysis, Machine Learning, Operational Research, Optimization, Simulation, and Decision-Making Methods.

Fernando Augusto Silva Marins, São Paulo State University (UNESP), São Paulo, SP, Brazil.

Graduated in Mechanical Engineering from São Paulo State University – UNESP (1976), holds a Master's degree in Operational Research from the Aeronautics Institute of Technology (1981), a Ph.D. in Electrical Engineering from the University of Campinas (1987), and completed a Postdoctoral fellowship at Brunel University in London, England (1994). He is a Full Professor in the Production Department at the School of Engineering and Sciences, Guaratinguetá Campus, UNESP, and a PQ2 Researcher at CNPq. He has experience in the field of Production Engineering, with an emphasis on Operational Research and Logistics, primarily working on the following topics: Logistics and Supply Chain Management, Optimization Models in Operational Research, Decision Support and Simulation Methods.

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Published

2024-11-16

How to Cite

Silva, M. G. da, Kozyreff Filho, E., Rodríguez, E. C. A., & Marins, F. A. S. (2024). An inventory allocation model for cost reduction in the supply chain of a payment means company. Revista Produção Online, 24(3), 5069 . https://doi.org/10.14488/1676-1901.v24i3.5069

Issue

Vol. 24 No. 3 (2024): fluxo contínuo

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Papers

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