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Architecture for Production Internet

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Service Orientation in Holonic and Multi-Agent Manufacturing (SOHOMA 2018)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 803))

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Abstract

Production Internet as a large-scale virtual ecosystem of interacting clients, firms and Things considers the structures of products and services along the inter-organizational coordination, consequently going beyond the peer-to-peer networking and enabling both horizontal and extended vertical integration of operations. This paper proposes architecture for Production Internet, which is suited to the large scale, dispersion, heterogeneity, and complexity of operations. The mechanisms of coordination rely on externalized governance and are derived from the known theories of dynamic behaviour in networks. By combining ecosystem-wide intelligence with performance measurement, a setup was designed for adaptive control of orders and maintenance of homeostasis, as well as to aid evolution. All these functionalities are embodied into the architecture through a distributed, agent-based and heterarchical solution. The proposed approach aims to improve overall performance, considering the turnover and efficiency of resources, the ‘price of anarchy’, and the Pareto optimality.

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Notes

  1. 1.

    From Production Systems Internet – PSI (Ψ).

  2. 2.

    Price of anarchy measures how overall efficiency degrades due to a selfish behaviour of networked agents.

  3. 3.

    ERP – Enterprise Resource Planning, DRP – Distribution Resource Planning, EDI – Electronic Data Interchange, CPFR – Collaborative Planning Forecasting and Replenishment, SCM – Supply Chain Management, CRM – Customer Relationships Management.

  4. 4.

    Homeostasis is a steady condition of operations in Production Internet. It can be referred to equilibrium or balanced growth/decline. Hence, for the first type it is defined as a state (or a phase) in which workflows and loads (work in progress, utilization, credit action) stay balanced, variability is steady, while efficiency reaches local maxima. For the second type of homeostasis the workflows and loads are expected to trend linearly: variables change proportionally, otherwise according to the power law (first derivatives of variables stay fixed).

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Authors and Affiliations

  1. Faculty of Production Engineering, Warsaw University of Technology, Warsaw, Poland

    Stanisław Strzelczak & Stanisław Marciniak

Authors
  1. Stanisław Strzelczak
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  2. Stanisław Marciniak
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Correspondence to Stanisław Strzelczak .

Editor information

Editors and Affiliations

  1. Faculty of Automatic Control and Computer Science (Automatica), University Politehnica of Bucharest, Bucharest, Romania

    Theodor Borangiu

  2. LAMIH UMR CNRS 8201, University of Valenciennes, Valenciennes Cedex 9, France

    Damien Trentesaux

  3. École Nationale Supérieure des Tech., University of Lorraine, Epinal Cedex 9, France

    André Thomas

  4. Department of Management, Information and Production Engineering, Università degli Studi di Bergamo, Dalmine (BG), Italy

    Sergio Cavalieri

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Strzelczak, S., Marciniak, S. (2019). Architecture for Production Internet. In: Borangiu, T., Trentesaux, D., Thomas, A., Cavalieri, S. (eds) Service Orientation in Holonic and Multi-Agent Manufacturing. SOHOMA 2018. Studies in Computational Intelligence, vol 803. Springer, Cham. https://doi.org/10.1007/978-3-030-03003-2_5

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