Bibliographic citations
Romero, W., (2024). Propuesta de mejora en el proceso de distribución de galletas en una empresa de consumo masivo mediante la metodología PDCA y herramientas de data analytics [Pontificia Universidad Católica del Perú]. http://hdl.handle.net/20.500.12404/29180
Romero, W., Propuesta de mejora en el proceso de distribución de galletas en una empresa de consumo masivo mediante la metodología PDCA y herramientas de data analytics []. PE: Pontificia Universidad Católica del Perú; 2024. http://hdl.handle.net/20.500.12404/29180
@misc{renati/1657316,
title = "Propuesta de mejora en el proceso de distribución de galletas en una empresa de consumo masivo mediante la metodología PDCA y herramientas de data analytics",
author = "Romero Yslachin, Willy Klaus",
publisher = "Pontificia Universidad Católica del Perú",
year = "2024"
}
The cookie category presents mass consumption products, currently, 64% of Peruvians replace a main dish with a cookie or some other snack (Condor, 2022). During the last decade of 2019, it could be observed that the consumption of cookies in the country has grown between the years 2009 and 2019 having an increase from 1.7 kg (INEI, 2009) to 4.1 kg (ALICORP, 2019) per capita thus evidencing the increase in this decade of 58.5 % of kilos per capita consumed within the traditional diet of the Peruvian consumer. The distribution of cookies in a leading Peruvian company in the mass consumption sector is the main subject of this study. Its main objective is to develop a cookie supply chain approach to improve organizational competitiveness. This will be achieved through the use of the PDCA cycle and case study data analysis tools. These tools have been chosen for their adaptability and their ability to identify deficiencies in the chain, which can have a noticeable effect on customer satisfaction and company competitive metrics in the Peruvian biscuit industry. The improvement proposal applied when evaluated economically has proven to be viable and profitable, with an Internal Rate of Return (IRR) of 30.71% and a Net Present Value (NPV) of 46,779.54 soles. These results clearly indicate that the offer is profitable, as the NPV is greater than zero and the IRR exceeds the relevant marginal interest rate of 8.45%. This financial evaluation supports the effectiveness of the proposal and its ability to generate economic benefits. In summary, this research highlights how crucial data collection and analysis are for decision making and continuous supply chain optimization. The application of the PDCA methodology and other strategies has proven to be effective in optimizing logistics management and reducing costs. Economic results support the feasibility and cost-effectiveness of the proposals, which reinforces their ability to generate value in the organization and improve customer satisfaction.
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