BIDSIM: Using a Competitive Bidding Simulation to Highlight Pricing Issues

Blindly-competitive Algorithms for Pricing & Bidding

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...

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...

A competitive bidding approach to physician payment.

How competitive is competitive bidding?

Competitive Pricing in a Supply Chain Using a Game Theoretic Approach

We develop a price competition model for a new supply chain that competes in a market comprised of some rival supply chains. The new supply chain has one risk-neutral manufacturer and one risk-averse retailer in which the manufacturer is a leader and retailer is a follower. The manufacturer pays a fraction of the risk cost (caused by demand uncertainty) to the retailer. We apply this competitiv...