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What is Carpet Cleaning Forecasting Analysis about?

This document summarizes a forecasting analysis of carpet cleaning at a laundry service in Bekasi, Indonesia. It analyzed carpet cleaning forecasts from May to December 2015 to define a strategy for January 2016. Three forecasting methods were used: 3-month moving average, 3-month weighted moving average, and exponential smoothing with an α of 0.2. The exponential smoothing method produced the most accurate forecast, estimating 400 carpet cleanings in January 2016 with a standard error of 200.07, making it

Author

diaz ratna dewy

Language

EN