Evaluation of Customer Orders in Supply Chain by Logistic Regression Analysis

Today the effect of the fact of Supply Chain Management on the performance and the life cycles of enterprises is great. For an enterprise keeping on its existence in the sector of manufacturing industry, one of the most important rings of supply chain is the data of order and the manufacturing performance of the enterprise. This work aims to prove that the order parameters are usable for estimating the probability of order realization at deadline. In this manner, it will be provided for the manufacturing industry enterprises and the enterprise decision makers, to be more accurate on making decisions about orders and reaching the results of those by this model. In addition to this, applicability of this approach for many rings of supply chain will be discussed