Modeling the ergonomics of goods-to-man order picking

Shaikha Al Shehhi, Nelson King, Saed Amer, Jaby Mohammad

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

    1 Scopus citations

    Abstract

    The move towards a goods to man order picking strategy increases worker productivity by reducing travel time but increases the possibility of repetitive motion injuries. An anthropometric simulation of the goods to man order strategy was developed using Siemens Jack so the Task Analysis Toolkit could be used to study the effect of picking hundreds of items an hour. The simulation assigns order pickers of different statures (Jack and Eva) ten items of different shapes and weight to random bin locations on a shelf caddy for an hour. The preliminary analysis shows that the lower back and metabolic energy thresholds are approached with significant flexion around the neck for both Jack and Eva.

    Original languageBritish English
    Title of host publicationIISE Annual Conference and Expo 2019
    ISBN (Electronic)9781713814092
    StatePublished - 2019
    Event2019 Institute of Industrial and Systems Engineers Annual Conference and Expo, IISE 2019 - Orlando, United States
    Duration: 18 May 201921 May 2019

    Publication series

    NameIISE Annual Conference and Expo 2019

    Conference

    Conference2019 Institute of Industrial and Systems Engineers Annual Conference and Expo, IISE 2019
    Country/TerritoryUnited States
    CityOrlando
    Period18/05/1921/05/19

    Keywords

    • Distribution center
    • Human factors
    • Order picking
    • Repetitive motion injuries

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