Learn More
We present a two-stage stochastic 0-1 modeling and a related algorithmic approach for Supply Chain Management under uncertainty, whose goal consists of determining the production topology, plant sizing, product selection, product allocation among plants and vendor selection for raw materials. The objective is the maximization of the expected benefit given(More)
A two-stage stochastic integer programming approach. Abstract We present an algorithmic approach for solving two-stage stochastic mixed 0-1 problems. The first stage constraints of the Deterministic Equivalent Model have 0–1 variables and continuous variables. The approach uses the Twin Node Family (TNF) concept within the algorithmic framework so-called(More)
BACKGROUND Health and inequalities in health among inhabitants of European cities are of major importance for European public health and there is great interest in how different health care systems in Europe perform in the reduction of health inequalities. However, evidence on the spatial distribution of cause-specific mortality across neighbourhoods of(More)
This paper presents a case study commissioned by the Spanish railway carrier Ferrocariles Españoles de Vía Estrecha for the annual rostering of work schedules for station personnel. A mixed rostering process is used. The first part of the process is carried out manually with the aid of a spreadsheet and Visual Basic, and consists of designing an initial(More)