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With the K-means clustering and Logistic model, we forecasted the carbon emissions in 30 provinces and autonomous regions in China from 2014 to 2023 based on the data of 30 provinces from 2005 to 2013. First, 5 indicators were selected, which include GDP, urbanization rate, the proportion of the second industry, the energy efficiency and the carbon emission intensity. Secondly, K-means cluster analysis...
This paper features an advanced planning system (APS) in which the forecasts and customer demands are balanced to arrive at the netted forecast for the production system to produce purchase orders and production orders. The forecast process to collaborate the demand and the forecast is rarely considered in the planning and scheduling models. In this paper, a new decision support process for netting...
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