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Research Article | Open Access

Model predictive control based integration of pricing and production planning

Messaoud Bounkhel1( )Lotfi Tadj2
Department of Mathematics, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia
Department of Industrial Engineering, Alfaisal University, Riyadh 12714, Saudi Arabia; ltadj@alfaisal.edu
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Abstract

We witness an increased emphasis on the integration of different areas of manufacturing firms with the intention of avoiding suboptimal solutions. In particular, due to new technologies which make it easy to change the price of a product in real time, the integration of pricing and production planning may be garnering the most interest. We are proposing in this paper a way to model the dynamics of the price. Thus, the price and the inventory level are considered as state variables whereas the supply (production) rate is the control variable. The demand rate is dynamic and state-dependent. Using a model predictive control approach, the optimal supply rate, and thus the optimal price and inventory level, are obtained. Different examples are provided under different scenarios for the supply rate and for the demand rate.

CLC number: 49J15, 90B30

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AIMS Mathematics
Pages 2282-2307

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Cite this article:
Bounkhel M, Tadj L. Model predictive control based integration of pricing and production planning. AIMS Mathematics, 2024, 9(1): 2282-2307. https://doi.org/10.3934/math.2024113

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Received: 02 September 2023
Revised: 09 December 2023
Accepted: 18 December 2023
Published: 15 January 2024
©2024 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)