Transport Service Optimization Model using Integrated Tools under the Lean Approach - A Peruvian Case Study

Morales Peralta A.; Toullier Aguilar D.; Chavez Soriano P. · ACM International Conference Proceeding Series (2023) · DOI: 10.1145/3629378.3629465

Resumen

In Peru, transportation companies have been affected by different factors that are detrimental to the efficiency of their operations and their economy. Among these factors, delays in the delivery of goods are considered to be one of the most influential. In spite of this, at present, the transportation sub-sector has shown a recovery of 15.8% with respect to the national production index, due to the fact that it is considered a fundamental activity for the country's trade and foreign trade. Previous studies found in the literature review to solve the problem, expose the use of mathematical models and engineering tools to optimize delivery times in a context of cold chain transportation. However, they are applied independently; therefore, the contribution of the present proposal is based on an integrated improvement model of Lean tools, such as TPM, Heijunka and Andon. The proposal not only contributes to the reduction of the percentage of delivery delays, but also to other factors, such as the occurrence of stoppages due to breakdowns and the increase of operational performance. This study performs a validation through the implementation of a pilot test in a small company dedicated to the transportation of cargo by land. Based on this, the percentage of delays in the delivery of goods is reduced from 10.53% to 5.36%. Thus, it is possible to conclude that the implementation of the present improvement model will generate an economic benefit, in relation to the reduction of the cost associated with penalties for delays and the improvement of the quality of the service provided by the company.

Instituciones: Universidad Peruana de Ciencias Aplicadas