Implementation of TMS 4.0 (IoT), TPM and SW to minimize the rejection rate during the distribution of frozen products (#828)

Authors

Burga Durango, Javier

Torres Alvarez, Lliraldine

Vera Ramos, Rosa

Abstract

The frozen food logistics sector faces high rejection rates in 3PL operations due to low equipment availability, the absence of real-time temperature monitoring, and a lack of standardized operating practices. This study employs a quasi-experimental empirical methodology that integrates Total Productive Maintenance (TPM), IoT sensors for continuous temperature monitoring, and the development of standardized work procedures. The results show an annual reduction in rejected orders from 3142 to 42, an increase in OTIF from 84% to 99.76%, an increase in MTBF to 952 h, and a decrease in MTTR to 0.92 h. The main contribution of the work lies in empirically demonstrating the technical and economic viability of an integrated improvement model for the cold chain in 3PL operators, supported by an NPV of S/ 169,868, an IRR of 36% and a B/C ratio of 7.58.