Optimal positioning of groundwater supply wells in residential areas with uncertain information

Optimal design of cross docking supply chain networks with time-varying uncertain demands

This paper proposes an integrated network design model for a post-distribution cross-docking strategy, comprising multi product production facilities with shared production resources, capacitated cross docks with setup cost and customer zones with time windows constraints. The model is dynamic in terms of time-varying uncertain demands, whereas uncertainty is expressed with scenario approach an...

Incorporating Uncertain Site Information into Groundwater Modeling

Proper site characterization is vital for cost effective design of a remediation system. Scarcity of data, spatially and temporally varying site conditions and cost associated with sampling, lead to decisions being made under uncertainty which may be categorized as stochastic, lexical or informal. Probability theory, developed for stochastic uncertainties, is not suitable for representing lexic...

Residential History and Groundwater Modeling

Optimal Scheme with Load Forecasting for Demand Side Management (DSM) in Residential Areas

Utilities around the world have been considering Demand Side Management (DSM) in their strategic planning. The costs of constructing and operating a new capacity generation unit are increasing everyday as well as Transmission and distribution and land issues for new generation plants, which force the utilities to search for another alternatives without any additional constraints on customers co...

Groundwater pollution assessment in urban areas of Qom City

Nowadays, it is vital to pay attention more seriously to the urban environmental risks because of its effects on citizens' lives. One of these problems is groundwater pollution which threatens much valuable water resources. Drinking water in Qom City is provided from different resources, such as watersheds and water wells which are located within the city. Although there is a shortage of water ...