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Optimization of the lean production process using the virtual manufacturing cell

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

The most important element of the production process is the optimization of the conducted operations. It is particularly important for the lean production process. In the paper is presented the analysis of the optimization approach using the CAE systems, the multi-agents systems (MAS) and the distributed robotics (DR) systems. Using the CAE techniques it is possible to elaborate the virtual environment in which the manufacturing cell is designed. The interaction between the virtual model and the process rule base allow improving the design of the existing standard machining technology. The MAS approach let to create the structure of the manufacturing process, taking into account both the machining stands and transport units according to the elaborate technological process. Finally the utilization of the DR approach for the optimization of transport operations including the heuristic algorithms. Moreover in the paper are presented the results of the investigations of analyzed problem on the base of complex production line for the cylindrical elements. The simulations and other analysis have been conducted in advanced computer systems. Also the basic relation between mentioned systems are discussed.

Original languageEnglish
Title of host publicationModern Technologies in Industrial Engineering II
EditorsAlexander Mikhaylov, Dumitru Nedelcu, Alexei Toca, Andrzej Wrobel, Constantin Carausu, Emil Oanta
PublisherTrans Tech Publications Ltd.
Pages858-863
Number of pages6
ISBN (Electronic)9783038352556
DOIs
Publication statusPublished - 2014

Publication series

NameAdvanced Materials Research
Volume1036
ISSN (Print)1022-6680
ISSN (Electronic)1662-8985

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • CAD/CAE systems
  • Lean production
  • Multi-agents approach
  • Simulation

ASJC Scopus subject areas

  • General Engineering

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