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Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

Comparing the Efficiency of Intelligent Hybrid Operator Assistance Software with Intuitive Set-up (OASIS) for Assembly Production Line

Ibrahim, Zunaidi, ONeill, Mike, Hassani, Vahid and Ahmad Mehrabi, Hamid (2020) Comparing the Efficiency of Intelligent Hybrid Operator Assistance Software with Intuitive Set-up (OASIS) for Assembly Production Line. Journal of Physics: Conference Series, 1529 (042106). pp. 1-12. ISSN 1742-6588

Item Type: Article

Abstract

Pick-To-Light Order Picking System is the operational process when an operator
begins to pick the parts in a sequential manner by which the quantity of the parts is recorded.
The design of an effective hybrid order picking process in an assembly line is assisted by an
intelligent sensing system to improve pick efficiency, accuracy and increase productivity. This
research compares between intelligent hybrid order picking versus order picking with pick
confirmation system at parts assembly line. The results show that by our proposed system with
the elimination of certain steps within the picking process, the better efficiency, accuracy,
fewer miss-picks will occur in the system and the operator can perform more intelligently with
required picking quantities. The development of this system can provide a low-cost solution
with an intelligent order picking system for small and medium-sized enterprises (SMEs) and a
fast-moving production assembly line in manufacturing.

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Depositing User: Vahid Hassani

Identifiers

Item ID: 12143
Identification Number: https://doi.org/10.1088/1742-6596/1529/4/042106
ISSN: 1742-6588
URI: http://sure.sunderland.ac.uk/id/eprint/12143
Official URL: https://iopscience.iop.org/article/10.1088/1742-65...

Users with ORCIDS

ORCID for Vahid Hassani: ORCID iD orcid.org/0000-0001-6724-2520
ORCID for Hamid Ahmad Mehrabi: ORCID iD orcid.org/0000-0003-0510-4055

Catalogue record

Date Deposited: 19 Jun 2020 09:22
Last Modified: 05 Jan 2021 16:30

Contributors

Author: Vahid Hassani ORCID iD
Author: Hamid Ahmad Mehrabi ORCID iD
Author: Zunaidi Ibrahim
Author: Mike ONeill

University Divisions

Faculty of Technology

Subjects

Engineering > Electrical Engineering

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