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The Physical Internet (PI or π) faces significant challenges due to its inherent complexity, dynamism, and uncertainty. Self-organizing logistic systems (SoLS) supported by Holonic Multi-Agent Systems (HMAS) can provide the distributed intelligence, openness, and decentralized control necessary for effective SoLS implementation. This paper presents a novel application of the Go-Green ANEMONA methodology to model the internal structure of π-containers. Through this methodology application, a two-level holarchy is developed that decomposes π-containers into four specialized holons: three holons dedicated to container logistic operations and one green holon responsible for monitoring and guiding sustainable performance. This specialized holonic architecture allows enhanced data management capabilities, improved interaction, and tailored holon implementations to deal with highly dynamic logistics environments. The proposed model provides a foundation for implementing sustainable and efficient autonomous intelligent entities within the Physical Internet framework.

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Modeling Physical Internet Containers Management Using the Go-Green ANEMONA Approach

  • 会议论文

  • 发表日期：

    2026年

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  • Gabriel Zambrano-Rey,
  • Tarik Chargui,
  • Yves Sallez,
  • Damien Trentesaux

摘要

The Physical Internet (PI or π) faces significant challenges due to its inherent complexity, dynamism, and uncertainty. Self-organizing logistic systems (SoLS) supported by Holonic Multi-Agent Systems (HMAS) can provide the distributed intelligence, openness, and decentralized control necessary for effective SoLS implementation. This paper presents a novel application of the Go-Green ANEMONA methodology to model the internal structure of π-containers. Through this methodology application, a two-level holarchy is developed that decomposes π-containers into four specialized holons: three holons dedicated to container logistic operations and one green holon responsible for monitoring and guiding sustainable performance. This specialized holonic architecture allows enhanced data management capabilities, improved interaction, and tailored holon implementations to deal with highly dynamic logistics environments. The proposed model provides a foundation for implementing sustainable and efficient autonomous intelligent entities within the Physical Internet framework.