Perhaps this research by Pero et al. can support small and medium sized companies with the design and redesign of its supply chain network.
The goal of the study was to analyze the connection between topological features of the supply chain and the resulting supply chain performance.
h5. Method and Model
The authors used simulation techniques and statistical analysis to simulate a pull based supply network. The network consists of a retailer-, distributor- and manufacturer-level.
The article reviewed here takes a look at typical biases in supply chain demand planning and how to avoid it. This work could prove very valuable for many companies who rely on manually adjusted forecasts.
Usually the forecasting process uses two steps:
1) statistical forecast by the forecasting system
2) manual adjustment to include additional effects (eg. additional analysis of demand pattern not included in step 1)