Proposal for improving the inbound logistics in an automobile importing company using lean management

Authors

DOI:

https://doi.org/10.26439/ciii2024.7789

Keywords:

digital twin, industry 4.0, Kanban, lean management, machine learning, service level

Abstract

In this research, an improvement proposal is presented for a car dealership company. The proposed industry is constantly changing due to technological advances and the new approach to placing the customer at the center of all decisions. Stock shortages and delays in order delivery generate a negative impact on the service level index. By analyzing the company’s processes, a problem was diagnosed in the inbound logistics area to obtain the necessary inventory and satisfy the demand for vehicle sales. In this sense, this article proposes an integrated model that uses lean management tools, including Kanban and VSM, hand in hand with Industry 4.0 tools to increase this indicator. The research is validated through a simulation in Arena software, and it is observed that it has a positive impact on the company, since by implementing them the service level registers an increase of 11,52 %. With the use of digital twin, the number of complaints due to lead time decreased to a 1,6 %, while Kanban and machine learning helped reach a stock outage of 12,08 %. The contribution proposed in this study can guide other dealership companies in the automotive industry to counteract many of the main problems related to their service level.

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Author Biographies

  • Jimena Pinto Adriazola, Ingeniería Industrial, Universidad de Lima, Perú

    Bachiller de Ingeniería Industrial por la Universidad de Lima con especialización en Gestión de Proyectos. A lo largo de su formación académica, se destacó como décimo superior en la Universidad de Lima y estuvo dentro de los primeros diez puestos de la carrera. Actualmente, cuenta con experiencia en el análisis de datos y procesos orientado a la mejora continua del sector financiero y asegurador.

  • Jimena Mc Farlane Camino, Ingeniería Industrial, Universidad de Lima, Perú

    Bachiller de Ingeniería Industrial por la Universidad de Lima con especialización en Gestión de Proyectos. Actualmente, se desempeña en el Área de Presupuestos en el sector de energía y cuenta con experiencia en el Área de Operaciones en Seguros. A lo largo de su formación académica, se destacó como décimo superior en la Universidad de Lima. Asimismo, obtuvo el certificado en programa Leading with Finance de Harvard Business School Online.

  • Rafael Chavez-Ugaz, Ingeniería Industrial, Universidad de Lima, Perú

    Candidato a doctor (PhD) por la Universidad Pablo de Olavide, España. Candidato a doctor (PhD) por la Universidad San Ignacio de Loyola, Perú. Magíster en Administración Estratégica de Empresas por CENTRUM Católica, Perú. MBA en Gestión General y Estratégica por la Maastricht School of Management, Países Bajos. Ingeniero industrial por la Universidad de Lima, Perú. Experiencia profesional en empresas de servicios, farmacéuticas y de telecomunicaciones, en las áreas comercial, de calidad y operaciones. Consultor empresarial especializado en planificación estratégica, operaciones, innovación y mejora de negocios. Docente con 20 años de experiencia en Ingeniería y Negocios, en cursos de formulación y evaluación de proyectos industriales. Coordinador del área académica de Proyectos Industriales. Investigador. Asesor y jurado de tesis de grado en la Universidad de Lima.

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Published

2025-02-28

Issue

No. 003 (2024): III Congreso Internacional de Ingeniería Industrial

Section

Ponencias