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Dynamic inventory control and planned obsolescence management.

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Title: Dynamic inventory control and planned obsolescence management.
Authors: Tadj, Lotfi1 (AUTHOR) ltadj@alfaisal.edu
Source: International Journal of Production Research. Dec2025, Vol. 63 Issue 24, p9633-9648. 16p.
Subjects: Inventory control, Product obsolescence, Optimal control theory, Inventory management systems, Economic efficiency, Production management (Manufacturing), Sensitivity analysis
Abstract: This work presents a new dynamic model designed to analyze and optimise inventory and production systems while considering planned obsolescence. The model incorporates key variables such as inventory levels, obsolescence rates, production rates, and replacement rates to effectively capture the complex dynamics of inventory systems affected by obsolescence. Optimal control methods are utilised to identify the optimal time-dependent paths for production and replacement rates that minimise costs while satisfying demand constraints. A sensitivity analysis is conducted to test the model's robustness and examine how different initial conditions and parameters–like inventory levels, obsolescence rates, and planning horizons–affect system performance and costs. The findings highlight the significant cost impacts of planned obsolescence and suggest strategies for alleviating its effects through adaptive policies. This research contributes to the field of inventory and production management and offers a practical framework for tackling planned obsolescence in industrial settings. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Dynamic inventory control and planned obsolescence management.
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  Data: <searchLink fieldCode="AR" term="%22Tadj%2C+Lotfi%22">Tadj, Lotfi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> ltadj@alfaisal.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Production+Research%22">International Journal of Production Research</searchLink>. Dec2025, Vol. 63 Issue 24, p9633-9648. 16p.
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  Data: <searchLink fieldCode="DE" term="%22Inventory+control%22">Inventory control</searchLink><br /><searchLink fieldCode="DE" term="%22Product+obsolescence%22">Product obsolescence</searchLink><br /><searchLink fieldCode="DE" term="%22Optimal+control+theory%22">Optimal control theory</searchLink><br /><searchLink fieldCode="DE" term="%22Inventory+management+systems%22">Inventory management systems</searchLink><br /><searchLink fieldCode="DE" term="%22Economic+efficiency%22">Economic efficiency</searchLink><br /><searchLink fieldCode="DE" term="%22Production+management+%28Manufacturing%29%22">Production management (Manufacturing)</searchLink><br /><searchLink fieldCode="DE" term="%22Sensitivity+analysis%22">Sensitivity analysis</searchLink>
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  Label: Abstract
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  Data: This work presents a new dynamic model designed to analyze and optimise inventory and production systems while considering planned obsolescence. The model incorporates key variables such as inventory levels, obsolescence rates, production rates, and replacement rates to effectively capture the complex dynamics of inventory systems affected by obsolescence. Optimal control methods are utilised to identify the optimal time-dependent paths for production and replacement rates that minimise costs while satisfying demand constraints. A sensitivity analysis is conducted to test the model's robustness and examine how different initial conditions and parameters–like inventory levels, obsolescence rates, and planning horizons–affect system performance and costs. The findings highlight the significant cost impacts of planned obsolescence and suggest strategies for alleviating its effects through adaptive policies. This research contributes to the field of inventory and production management and offers a practical framework for tackling planned obsolescence in industrial settings. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/00207543.2025.2522856
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      – Code: eng
        Text: English
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        PageCount: 16
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    Subjects:
      – SubjectFull: Inventory control
        Type: general
      – SubjectFull: Product obsolescence
        Type: general
      – SubjectFull: Optimal control theory
        Type: general
      – SubjectFull: Inventory management systems
        Type: general
      – SubjectFull: Economic efficiency
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      – SubjectFull: Production management (Manufacturing)
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      – SubjectFull: Sensitivity analysis
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              Text: Dec2025
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