Kit preparation for mixed-model assembly: efficiency impact of confirmation methods
Journal article, 2019
Design/methodology/approach – An industrially relevant laboratory experiment is applied, simulating kit preparation with order batching for mixed-model assembly. The time efficiency is studied as associated with four confirmation methods – barcode ring scanner, button presses, voice commands and RFID-reading wristbands – when applied as pick-from and place-to confirmation. Furthermore, the paper also considers the quality outcome.
Findings – Efficiency is promoted by methods that minimise interrupting the picker’s motions when performing pick-from confirmations and with methods that allow each hand to place components and perform place-to confirmations simultaneously – here represented by button presses and RFID-reading wristbands. Moreover, combining various methods for the tasks of pick-from or place-to confirmation can benefit efficiency.
Research limitations/implications – Pickers at an early stage of the learning curve (one shift of training) were considered.
Practical implications – The findings promote the customised applications of picking information systems in industry.
Social implications – Combining various methods for the tasks of pick-from and place-to confirmation can provide more fitting applications that better align with the picker’s preferences.
Originality/value – Combinations of various methods when applied as either pick-from or place-to confirmation, or both, are studied.
Order picking
Kitting
Order batching
Mixed-model assembly
Kit preparation
Confirmation methods
Author
Patrik Fager
Chalmers, Technology Management and Economics, Supply and Operations Management
Industrial Management and Data Systems
0263-5577 (ISSN)
Vol. 119 3 547-560Framväxande digitala teknikers tillämpbarhet som plockstöd inom materialhantering
VINNOVA (2016-05477), 2017-02-01 -- 2018-01-31.
Subject Categories
Production Engineering, Human Work Science and Ergonomics
Other Computer and Information Science
Transport Systems and Logistics
Other Engineering and Technologies not elsewhere specified
Driving Forces
Sustainable development
Areas of Advance
Transport
Production
DOI
10.1108/IMDS-07-2018-0287