<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The paper investigates an one-product reverse logistics system. The aim is to analyze the functioning of such a system with continuous time and linear cost structure. The costs consist of linear holding costs for both warehouse, and the linear remanufacturing, manufacturing, and disposal costs. The demand and return rates are known deterministic parameters. The problem is solved with the Pontyagin’s maximum principle. Solving the control problem, it is corrected an earlier paper [1].</p>
</abstract>

The paper investigates an one-product reverse logistics system. The aim is to analyze the functioning of such a system with continuous time and linear cost structure. The costs consist of linear holding costs for both warehouse, and the linear remanufacturing, manufacturing, and disposal costs. The demand and return rates are known deterministic parameters. The problem is solved with the Pontyagin’s maximum principle. Solving the control problem, it is corrected an earlier paper [1].

Production-inventory strategies for a linear reverse logistics system

Budapest University of Technology and Economics

Pure Mathematics and Applications

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Production-inventory strategies for a linear reverse logistics system"}

The paper investigates an one-product reverse logistics system. The aim is to analyze the functioning of such a system with continuous time and linear cost...

Production-inventory strategies for a linear reverse logistics system

Published Online: Nov 07, 2022

Page range: 120 - 147

Received: Oct 10, 2022

DOI: https://doi.org/10.2478/puma-2022-0030

Keywords
Remanufacturing, reverse logistics, optimal policies, optimal control

© 2022 Imre Dobos, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Production-inventory strategies for a linear reverse logistics system

Published Online: Nov 07, 2022

Page range: 120 - 147

Received: Oct 10, 2022

DOI: https://doi.org/10.2478/puma-2022-0030

KeywordsRemanufacturing, reverse logistics, optimal policies, optimal control

© 2022 Imre Dobos, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Keywords
Remanufacturing, reverse logistics, optimal policies, optimal control