Perturbation Analysis for the Design of Flexible Manufacturing System Flow Controllers

Michael Caramanis and George Liberopoulos
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Michael Caramanis: Boston University, Boston, Massachusetts
George Liberopoulos: Boston University, Boston, Massachusetts

Operations Research, 1992, vol. 40, issue 6, 1107-1125

Abstract: Dynamic allocation of stochastic capacity among competing activities in a just in time manufacturing environment is addressed by optimal flow control. Optimal policies are characterized by generally intractable Bellman equations. A near-optimal controller design technique is proposed. It provides an approximate numerical solution to the Bellman equation, a tight lower bound for the optimality gap of tractable, near-optimal controller designs, and a building block for improved, near-optimal controller designs that rely on the decomposition of a multiple part-type problem to smaller (two or three part-type) problems. Computational experience is reported for two and three part-type problems.

Keywords: dynamic programming/optimal control: numerical solution through simulation; manufacturing; automated systems: production flow control (search for similar items in EconPapers)
Date: 1992
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