Human and robot allocation method for hybrid assembly systems

Shozo Takata, Takeo Hirano

    Research output: Contribution to journalArticle

    44 Citations (Scopus)

    Abstract

    Manufacturing companies today need to increase both changeability and efficiency of production systems in order to strengthen their competitiveness. Hybrid assembly systems have evolved as solutions to counter this issue. In this system, humans and robots cooperate to perform assembly tasks; the system has the advantage of maximizing robot efficiency and human flexibility. This paper proposes a method for planning human and robot allocation in hybrid assembly systems. The method enables us to select the initial human and robot allocation, that minimizes the expected total production cost including robot investment and labor cost taking into consideration possible scenarios of future changes in product models and production volumes.

    Original languageEnglish
    Pages (from-to)9-12
    Number of pages4
    JournalCIRP Annals - Manufacturing Technology
    Volume60
    Issue number1
    DOIs
    Publication statusPublished - 2011

    Keywords

    • Hybrid assembly system
    • Man-machine system
    • Process planning

    ASJC Scopus subject areas

    • Mechanical Engineering
    • Industrial and Manufacturing Engineering

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