Laureano F. Escudero (Universidad Miguel Hernández, Spain)

Short Biography

Laureano F. Escudero, 23/9/1942, email:escudero@umh.es, PhD in Economic Sciences,  1974, Universidad Comercial de Deusto (Bilbao, Spain). Actually, he is full professor of Statistics and Operations Research at the Universidad Miguel Hernández, Elche ( Alicante , Spain ). For the period 2003-2004 ha has been Chair of EURO, The Association of European Operational Research Societies. He has been supervisor of. 9 PhD theses. He has worked in the theory and applications of the following scientific fields: mathematical programming, PERT, forecasting. decision theory, queuing theory, simulation and pattern recognition. His actual fields of interest are: stochastic programming, risk management and numerical intensive computation. He has written 5 books, over 80 refereed papers and 10 chapters of books. He has worked in the following IBM scientific centers: Centro Científico de Madrid, 1972-1985, Palo Alto Scientific Center (California) 1978-1980, German Manufacturing Technology Center in  Sindelfingen (Germany) 1986-1987, and  T.J. Watson Research Center in Yorktown Heights (NY), 1988-1991. Ha has been principal investigator of national and European projects. He is member of the editorial boards of the following journals: European Journal of Operational Research, Revista de Matemáticas, TOP, Computational Management Science y SORT (Statistic and Operations Research Transactions).

Lecture to be presented in EWI 2007

Title

On Supply Chain Management Problems under uncertainty

Abstract

We present stochastic 0-1 models for Supply Chain Management problems under uncertainty, whose generic goal consists of determining the production topology, plant sizing, product selection, machine selections, product allocation among plants and vendor selection for raw materials. The objective is the maximization of the expected benefit given by the product net profit over the time horizon minus the investment depreciation and operations costs. The main uncertain parameters are the product net price and demand, the raw material supply cost and the production cost. The first stage is included by the strategic decisions. The second stages are included by the tactical decisions and minor strategic decisions.  The general framework of the Branch and Fix Coordination (BFC) algorithmic approach is presented. Some computational experience is reported for cases with dozens of thousands of constraints, continuous variables and hundreds of 0-1 variables.

back