2010Unpublished venueRequires access

Inventory control and LQG: Connections and extensions

Wai Kit Ong, Elizabeth J. Durango‐Cohen, Donald J. Chmielewski

Open publisher page 1 citations

Abstract

This paper presents a review of two classical business approaches to inventory control. This is followed by a discussion of an engineering approach using Linear Quadratic Gaussian (LQG) control. The main result is to show that under certain conditions all three methods generate the same policy. Using the state-space model of the LQG formulation, we explore the multi-echelon system and model uncertainty cases.

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What this paper is about

This paper presents a review of two classical business approaches to inventory control. This is followed by a discussion of an engineering approach using Linear Quadratic Gaussian (LQG) control. The main result is to show that under certain conditions all three methods generate the same policy. Using the state-space model of the LQG formulation, we explore the multi-echelon system and model uncertainty cases.

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OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper presents a review of two classical business approaches to inventory control. This is followed by a discussion of an engineering approach using Linear Quadratic Gaussian (LQG) control. The main result is to show that under certain conditions all three methods generate the same policy. Using the state-space model of the LQG formulation, we explore the multi-echelon system and model uncertainty cases.

Key concepts: Linear-quadratic-Gaussian control, Control (management), Linear-quadratic regulator, Control theory (sociology), State space, Optimal control, Gaussian, State (computer science)

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