This paper considers a residential market with real-time electricity pricing and flexible electricity consumption profiles for customers. Such a market raises an optimisation problem for home automation systems where they need to schedule consumption activities to reduce costs, whilst maintaining a base level of comfort and convenience. This optimisation problem faces uncertainty in real-time p...

Motivation Pricing decisions are often made when market information is still poor. While modern pricing analytics aid firms to infer the distribution of stochastic demand that they facing, data-driven price optimization methods impractical or incomplete if not coupled with testable theoretical predictions. In turn, existing models reason about response optimal prices changing characteristics wi...

Reliable location routing problem considers a location problem and a vehicle routing problem in order to select the optimal location of facilities and at the same time the optimal routes for vehicles considering the unexpected failure for facilities in which, all facilities may fail with a probability. In this paper, a bi-objective mathematical model has been developed to minimize the total cos...

I evaluate German regulation that requires retail discounters to guarantee the availability of their products in bargain sales. The regulation is meant to prevent loss leaders. Retailers however claim that rationing is due to demand uncertainty and thereby undermine the regulation’s rationale. Indeed, demand uncertainty explains empirical observations better than a theory of loss leaders. This ...

In this paper, we consider a newsvendor who is going to invest on dedicated or flexible capacity, our goal is to find the optimal investment policy to maximize total profit while the newsvendor faces uncertainty in lead time and demand simultaneously. As highlighted in literature, demand is stochastic, while lead time is constant. However, in reality lead time uncertainty decreases newsvendor's...