Research On Risk Management Of Electronic Bidding Based On GERT

With the rapid development of network technology, electronic commerce hasrapidly grown up. The network has gradually become a mainstream media afternewspaper, magazine, TV and so on. The information about enterprise purchase isissued by the network naturally. Manufacturers no longer need to buy the newspaper toobtain information. As long as login to the relevant bidding site and have a look, theycan access the needed information conveniently, accurately. In this process, theelectronic procurement emerges as the times require, electronic bidding is one of them.Electronic bidding, as a new procurement mode, reduces the cost in bidding,makes bidding and tendering more convenient to all participants, at the mine while,makes the whole bidding process more closely, more scientific, more transparent,ensures the bidding activities public, fair, and trust, prevents and reduces corruption. Atthe same time, it is not difficult to see, nowadays most of the bidding websites are false"online" websites, and the general only plays a role of information releasing. At present,In the electronic bidding process, only the tender information is issued on the web, butsuch as answering, bid security, bid opening, bid evaluation, those key steps are notonline. It does not truly reflect the electronic bidding open, fair, transparentprinciple; this also lets the electronic bidding participants lacking of undeservedfame. Investigate its reasons, for one thing, false "online" state increases the electronictendering and bidding transparent. For another thing, in this process, electronic biddingis filled with many uncertain factors, so firms lack confidence about the electronicbidding.This paper based on the introduction of electronic bidding and the theory ofknowledge about risk management, from the progress of the electronic bidding, use theFlow-chat Method to identify the risk factors (event) of each stage, to find out the risksource, and construct probabilistic models for the risk factors those are identified,calculate the related parameters and hypothesis testing. Then transfer the electronicbidding process graph into a GERT random network model, to determine theparameters of GERT, to quantify the risk is risk with moment generating function andMason formula, provide a strong basis for the bidding risk management from bothsides, so as to achieve the optimization objective. Finally, taking a company’selectronic bidding as example, the process of risk identification and assessment factors,according to the risk element transmission solution of analytical model, and for theproposed risk response strategy.