Warehouse management systems (WMS) have become increasingly important for distribution companies in recent years. WMS can help companies improve their warehouse performance by optimizing the picking and storage processes, reducing errors, and improving communication. A study investigated the use of WMS to improve the performance of a distribution company in Lima, Peru. The company was experiencing problems with picking and document assignment, which led to a low indicator of perfect deliveries. The study found that the root causes of these problems were inadequate product marking, errors in the storage process, errors in the distribution of documents, and inadequate control in the verifications. The study proposed a model for improving the performance of the company's warehouse based on the use of WMS tools and measured by reference to the SCOR model. This model would use SLP tools, IoT,...

The food industry stands as a pivotal contributor to economic and efficient production in contemporary societies. In recent years, Peru has witnessed a notable upswing in the industrial food sector, characterized by the automation of production processes and the consequential shift from manual labor to machinery. Despite these advancements, a pervasive challenge persists – the suboptimal availability of critical machinery due to various failures, leading to operational disruptions and additional costs. This challenge is empirically examined through a case study measuring machinery availability via MTBF and MTTR indicators, revealing suboptimal values according to "World Class" benchmarks, as reflected in the efficiency value measured by the OEE indicator. In response to these findings, a practical and economically viable model adapted to the unique needs of the food sector is proposed....

This study addresses rising sustainability demands in the agro-industry by examining how data-driven approaches can reduce inefficiencies, waste, and poor resource use in spinach production. It investigates the impact of Total Productive Maintenance (TPM), First-In–First-Out (FIFO), process standardization, and circular economy practices—enhanced through digital transformation—on operational efficiency in a Peruvian agro-industrial firm. An exploratory case study was conducted using pilot implementations, direct observation, and quantitative analysis. Statistical tools, including Holt–Winters forecasting, were applied to assess the effectiveness of the interventions. Digital technologies supported data collection, traceability, and decision-making. An exploratory case study was conducted using pilot implementations, direct observation, and quantitative analysis. The integration o...