Developing a Knowledge Base Model for Tender Pricing to Optimize Tender Offers Price

Tender pricing has especial importance to bidders and is one the difficult activities for them. Tender pricing is a complex process and engaging risk and its complexities lead to disappointing bidders from scientific pricing. In pricing process, bidders are facing risk factors as an uncontrollable variable. Significant attendance of several stochastic variables in the process lead to deterministic evaluation being unusable for offer price. In this paper, tender pricing and management of its risk has been examined. This paper with conceptual approach, will analysis the philosophy of tender pricing theoretically. Hence, winning distribution function has been developed based on Tender holder preferences for each offer prices according to normalized prices. There is ability to estimate winning probability for each price by using this function. After that by using some decision making techniques and carry out qualify analysis, offer price will be determined. Finally a case study has been carried out based on developed model and the result of model application described.