Assessment of Order Picking Technologies in Picker-to-parts Order Picking Systems: An MCDM Approach
, 2022 This thesis evaluates the available order picking technologies and their level of automation based on performance criteria in picker-to-parts order picking systems. To evaluate these technologies a group MCDM approach was used to include experts knowledge and to deliver a ranked list.
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Human in Manual Order Picking Systems
, 2017 A key priority of the Europe 2020 is to create more and better jobs, while improving their quality and ensuring better working conditions. Manual order picking is an example of labour-intensive and timeconsuming working environment where humans are central actors and determine their effectiveness and efficiency.
Cajner, Hrvoje +2 more
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Predicting Emotion and Engagement of Workers in Order Picking Based on Behavior and Pulse Waves Acquired by Wearable Devices. [PDF]
Sensors (Basel), 2019 Kajiwara Y, Shimauchi T, Kimura H.
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The Impact of Visual Guided Order Picking on Ocular Comfort, Ocular Surface and Tear Function. [PDF]
PLoS One, 2016 Klein-Theyer A +7 more
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Order picking dataset from a warehouse of a footwear manufacturing company. [PDF]
Data Briefde Assis RF +2 more
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A Bi-level optimization method for integrated warehouse design, storage location assignment, and order picking. [PDF]
MethodsXMoghadam MF +3 more
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Path Optimization for Cluster Order Picking in Warehouse Robotics Using Hybrid Symbolic Control and Bio-Inspired Metaheuristic Approaches. [PDF]
Biomimetics (Basel)Özbaltan M +7 more
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Real time task planning for order picking in intelligent logistics warehousing. [PDF]
Sci RepZhang S +5 more
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Structural Stability Assessment for Optimal Order Picking in Box-Stacked Storage Logistics. [PDF]
Sensors (Basel)Choi H, Yoon H, Jung E, Lee D.
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