An approach to simulation optimization of industrial systems with discrete design variables and stochastic behavior

L.F.P. Etman; S.J. Abspoel; A.J.G. Schoofs; J.E. Rooda

An approach to simulation optimization of industrial systems with discrete design variables and stochastic behavior

L.F.P. Etman
, S.J. Abspoel
, A.J.G. Schoofs
, J.E. Rooda

Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic

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Abstract

A sequential approximate optimization approach is proposed for simulation models with discrete design variables and stochastic behavior. Linear response surface approximations of objective function and constraints are built in a search subregion of the design space based upon simulation experiments according to a D-optimal experimental design. An integer linear programming algorithm is used to calculate the approximate optimum design in the search subregion. The approach is illustrated for a non-convex analytical test problem and a simulation model of a four-station production flow line.

Original language	English
Title of host publication	, May 17-21, 1999, Buffalo, New York, vol. 1
Editors	C. Bloebaum
Pages	329-331
Publication status	Published - 1999

Cite this

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title = "An approach to simulation optimization of industrial systems with discrete design variables and stochastic behavior",

abstract = "A sequential approximate optimization approach is proposed for simulation models with discrete design variables and stochastic behavior. Linear response surface approximations of objective function and constraints are built in a search subregion of the design space based upon simulation experiments according to a D-optimal experimental design. An integer linear programming algorithm is used to calculate the approximate optimum design in the search subregion. The approach is illustrated for a non-convex analytical test problem and a simulation model of a four-station production flow line.",

author = "L.F.P. Etman and S.J. Abspoel and A.J.G. Schoofs and J.E. Rooda",

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AU - Etman, L.F.P.

AU - Abspoel, S.J.

AU - Schoofs, A.J.G.

AU - Rooda, J.E.

PY - 1999

Y1 - 1999

N2 - A sequential approximate optimization approach is proposed for simulation models with discrete design variables and stochastic behavior. Linear response surface approximations of objective function and constraints are built in a search subregion of the design space based upon simulation experiments according to a D-optimal experimental design. An integer linear programming algorithm is used to calculate the approximate optimum design in the search subregion. The approach is illustrated for a non-convex analytical test problem and a simulation model of a four-station production flow line.

AB - A sequential approximate optimization approach is proposed for simulation models with discrete design variables and stochastic behavior. Linear response surface approximations of objective function and constraints are built in a search subregion of the design space based upon simulation experiments according to a D-optimal experimental design. An integer linear programming algorithm is used to calculate the approximate optimum design in the search subregion. The approach is illustrated for a non-convex analytical test problem and a simulation model of a four-station production flow line.

M3 - Conference contribution

SP - 329

EP - 331

BT - , May 17-21, 1999, Buffalo, New York, vol. 1

A2 - Bloebaum, C.

ER -

An approach to simulation optimization of industrial systems with discrete design variables and stochastic behavior

Abstract

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