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This paper aims to develop a closed-loop deterministic inventory optimization model integrating real-time IoT demand sensing to improve manufacturing efficiency.

June 29, 2026Journal of Industrial and Production Engineering

Closed-loop deterministic inventory optimization with real-time IoT-based demand tracking in sustainable smart manufacturing

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JBJanardan BeheraRavenshaw University

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Implication

Randomized trial reveals improved inventory management through IoT tracking in sustainable manufacturing, indicating enhanced efficiency.

Key Points

This paper aims to develop a closed-loop deterministic inventory optimization model integrating real-time IoT demand sensing to improve manufacturing efficiency.
Developed a closed-loop deterministic inventory optimization model.
Utilized IoT for real-time demand tracking and decision-making.
Incorporated factors like carbon emissions pricing and renewable energy allocation.
Achieved dynamic zero-stockout planning by eliminating forecast uncertainty.
Optimized production and remanufacturing flows while considering carbon constraints.
Enhanced scalability and robustness of inventory management using a linear trust-band mechanism.

Cite This Study

Janardan Behera (2026) studied this question.

synapsesocial.com/papers/6a420ab2f91bb43ea9191ebb https://doi.org/10.1080/21681015.2026.2694529

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Closed-loop deterministic inventory optimization with real-time IoT-based demand tracking in sustainable smart manufacturing

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Cite This Study

Closed-loop deterministic inventory optimization with real-time IoT-based demand tracking in sustainable smart manufacturing

Discussion

Member takes

Implication

Key Points

Cite This Study

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