Workload Distribution Within An Extensive Case Pedagogy: A Competitive Bidding Strategy

A Comprehensive Survey on GenCos’ Optimal Bidding Strategy Problem in Competitive Power Markets

This paper represents a complete survey on Generation Companies’ (GenCos’) optimal bidding strategy problem in restructured power markets. In this regard after an introduction to competitive electricity markets, concept of optimal bidding strategy is presented. Considering large amount of works accomplished in this area a novel classification is implemented in order to categorize the existing d...

Competitive Bidding Strategy in Buyer-determined Online Reverse Auctions

Many industries utilize competitive, online reverse auctions for industrial procurement. In many of these auctions, the lowest price bidder is not guaranteed to be the winner and the buyer has full latitude to select the winner from any of the qualified bidders. What are the competitive bidding strategies of bidders in these online auctions? Using an adaptive hierarchical bounded rationality mi...

How competitive is competitive bidding?

Fair Ranking in Competitive Bidding Procurement: A Case Analysis

Fair and transparent procurement procedures are a cornerstone of a well functioning free-market economy. In particular, bidding is a mechanism whereby companies compete for contracts; when functioning well, the process rewards both the quality of the proposal, and the “reasonableness” of the quote. This way, both the company and the public win. The bidding process requires a fair and transparen...

Blindly-competitive Algorithms: Pricing & Bidding as a Case Study

The standard setting for competitive analysis of online algorithms assumes that on-line algorithm knows the past (but not future) inputs, and can optimize its performance by \learning" from mistakes of the past. This framework cannot capture some of the real-life online decision-making, which takes place without full knowledge of past and present inputs. Instead, online algorithm only knows a f...