The objective of the study is to reduce the high order non-fulfillment rate, which represents 60% and generates significant revenue losses. A management model is proposed integrating Kanban, ABC Classification, 5S and triple exponential smoothing Demand Forecasting. Kanban optimizes workflow with a 2-minute cycle reduction, improving efficiency. ABC Classification prioritizes orders with a 30% increase in accuracy, allocating resources effectively. 5S promotes an organized and clean environment, reducing errors and improving operational efficiency. The Demand Forecast helped anticipate future needs, facilitating production planning and maintenance of an adequate stock of 42 units. These tools, applied after quantitative and qualitative research, address planning failures, warehouse disorder, inefficient workflow and poor inventory control, with the potential to significantly reduce order non-compliance in a Peruvian SME Textile.
Aplication de Kanban, Clasificación ABC, 5S and Demand Demand Forecasting to Reduced Order Non-fulfilment in a Peruvian Textile SME
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