Abstract
The present paper regards the opportunities of forecasting of some key indicators in the “Request for Information” (RFI) and “Request for Proposal” (RFP) processes in the supply chain at the Bulgarian mobile telecommunication operators. The presented hereby forecasting is based on the use of the Holt-Winters method for exponential smoothing in the presence of additive and multiplicative seasonality and is made or indicators: “number of contracts”, “number of contracts with savings” and “number of the issued purchase orders”. The lowest “Stationary R square”, “R square” and MAPE (Mean Absolute Percentage of Error) values are used as measurement of accuracy and for selection of the best fit models that are applied. It is also important to point out that the measurement is being done for the so-called “bottle necks” or “narrow places” in the RFI and RFP processes. The purpose of this bottle-neck forecasting is to provide timely point for “Go/Not Go” decisions point for these very same process and thus to result in an improved risk management in the form of risk aversion and risk minimization.
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