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

2 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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