Identification of a novel architecture for production planning and control in consideration of biomimetic algorithms

Philipp Theumer, Darius Sultani, Gunther Reinhart

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

Despite great progress in the academic study of production planning and control (PPC), current PPC systems still fail to fully meet industry's needs. The approach presented here aims at a more functional and user-friendly PPC by conceptualising a novel idea that leverages the potentials of biomimetic algorithms. The proposed architecture consists of four core modules: order release module, digital shadow, event detection and processing, and decision-making module. Their interactions provide the functionality of the system while emphasising the workers' key role in the socio-technical PPC system. Requirements for the implementation of the architecture as well as starting points for future research are identified along with the concept.

Original languageEnglish
Pages (from-to)674-679
Number of pages6
JournalProcedia CIRP
Volume99
DOIs
StatePublished - 2021
Event14th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2020 - Naples, Italy
Duration: 15 Jul 202017 Jul 2020

Keywords

  • Biomimetic algorithms
  • Control
  • Production planning

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