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...

The future operations of transportation systems involve enormous uncertainty – in both input and model parameters. This work investigates the stability of contemporary transport demand model output by quantifying variability in model input, such as zonal socioeconomic data and trip generation rates. It simulates the propagation of their variation through a series of common demand models over a ...

This paper shows that with (partial) irreversibility higher uncertainty reduces the responsiveness of investment to demand shocks. Uncertainty increases real option values making firms more cautious when investing or disinvesting. This is confirmed both numerically for a model with a rich mix of adjustment costs, time-varying uncertainty, and aggregation over investment decisions and time and a...

This paper shows that, with (partial) irreversibility, higher uncertainty reduces the impact effect of demand shocks on investment. Uncertainty increases real option values making firms more cautious when investing or disinvesting. This is confirmed both numerically for a model with a rich mix of adjustment costs, time-varying uncertainty, and aggregation over investment decisions and time, and...

The revenue management concept and techniques are applied to model the coordination of supply chain elements. The fundamental premise of this approach is synchronization of a group of business entities consist-ing of a manufacturer and multiple suppliers to achieve an optimal supply chain capacity plans. The output of the supply chain can be various products and thus it is measured in terms of ...

This paper studies government subsidies for green technology adoption while considering the manufacturing industry’s response. Government subsidies offered directly to consumers impact the supplier’s production and pricing decisions. Our analysis expands the current understanding of the price-setting newsvendor model, incorporating the external influence from the government, who is now an addit...

Article history: Received 30 June 2011 Received in revised form September, 01, 2011 Accepted 06 September 2011 Available online 17 September 2011 Demand uncertainty obliges all participants through a supply chain to make decisions under uncertainty. These decisions extend across price, investment, production, and inventory quantities. We take account of competition between two supply chains und...

While advance booking programs have been shown to be e¤ective for …rms to manage uncertain demand, the e¤ectiveness of such programs is unclear when supply, demand, and price risks are present in a supply chain. Motivated by an advance booking program for managing these three types of risks in a ‡u vaccine supply chain, we present a two-stage Stackelberg game model to examine the dynamic intera...

In this paper, we are interested in routing vehicles to minimize unmet demand under uncertainty. Such a problem arises in situations with large demand or tight deadlines, so that routes that satisfy all demand points are difficult or impossible to obtain. An important application is the distribution of medical supplies to respond to large-scale emergencies, such as natural disasters or terroris...

Accurate forecasts of water demand are required for real-time control of water supply systems under normal and abnormal conditions. A methodology is presented for quantifying, diagnosing and reducing model structural and predictive errors for the development of short term water demand forecasting models. The methodology (re-)emphasises the importance of posterior predictive checks of modelling ...