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Author Laroque, C. ♦ Himmelspach, J. ♦ Pasupathy, R. ♦ Rose, O. ♦ Uhrmacher, A. M. ♦ Pedrielli, Giulia ♦ Masa, La
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Time Buffer ♦ Production System ♦ Structural Result ♦ Approximate Optimization ♦ Structural Property ♦ Sample Path-based Optimization ♦ Mathematical Programming Representation ♦ Traditional Literature ♦ Production System Performance ♦ Simulation Optimization ♦ Simulation Community ♦ Sample Average Approximation ♦ Lp Model ♦ Approximate Linear Programming ♦ Model Convergence ♦ Integer Programming
Abstract Simulation Optimization is acquiring always more interest within the simulation community. In this field, Mathematical Programming Representation (MPR) has been applied for both simulation and sample path-based optimization of production systems performance. Although in the traditional literature these systems have been represented by means of Integer Programming (IP) models, recently, approximate Linear Programming (LP) models have been proposed to optimize and evaluate the performance of a category of production systems. This work deals with LP models developed based on the Time Buffer (TB) variable whose concept, applicability and structural properties will be presented. Moreover the models convergence, within the Sample Average Approximation (SAA) framework, will be characterized. 1
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study