Investigating the Impact of Completion Time and Perceived Workload in Pickers-to-Parts Order-Picking Technologies: Evidence from Laboratory Experiments
<i>Background:</i> Despite the general impression that digital order-picking supportive technologies can manage a series of emerging challenges, there is still a very limited amount of research concerning the implementation and evaluation of such technologies in manual picker-to-goods or...
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MDPI AG
2024-01-01
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| author | Nikolaos Chondromatidis Anastasios Gialos Vasileios Zeimpekis Michael Madas |
| author_facet | Nikolaos Chondromatidis Anastasios Gialos Vasileios Zeimpekis Michael Madas |
| author_sort | Nikolaos Chondromatidis |
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| description | <i>Background:</i> Despite the general impression that digital order-picking supportive technologies can manage a series of emerging challenges, there is still a very limited amount of research concerning the implementation and evaluation of such technologies in manual picker-to-goods order-picking systems. Therefore, this paper aims to evaluate the performance of three alternative picker-to-goods technologies (i.e., Pick-by-Radio Frequency (RF) Scanner, Pick-to-light, and Pick-by-vision) in terms of completion time and perceived workload. <i>Methods:</i> The Design of Experiments (DoE) methodology is adopted to investigate order-picking technologies in terms of completion time. More specifically, a full factorial design has been used (2<sup>3</sup> × 3 full factorial design) for the assessment of the aforementioned order-picking technologies via laboratory testing. Furthermore, for the comparative assessment of the reviewed order-picking technologies in terms of workload, the NASA Task Load Index (NASA-TLX) is embraced by system users. <i>Results:</i> The results reveal that the best picker-to-goods technology in terms of order-picking completion time and perceived workload under certain laboratory setup is light picking when combined with few items per order line and many order lines per order. <i>Conclusion:</i> The paper successfully identified the best picker-to-goods technology, however it is important to mention that the adoption of such order-picking technology implies certain managerial implications that include training programs for employees to ensure they are proficient in using such technologies, upfront costs for purchasing and implementing the order picking system, and adjustments to existing workflows. |
| format | Article |
| id | doaj-art-9ad1237ebc7e46fdbfb7cce3c38f28be |
| institution | Kabale University |
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| language | English |
| publishDate | 2024-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Logistics |
| spelling | doaj-art-9ad1237ebc7e46fdbfb7cce3c38f28be2025-08-20T03:57:08ZengMDPI AGLogistics2305-62902024-01-01811310.3390/logistics8010013Investigating the Impact of Completion Time and Perceived Workload in Pickers-to-Parts Order-Picking Technologies: Evidence from Laboratory ExperimentsNikolaos Chondromatidis0Anastasios Gialos1Vasileios Zeimpekis2Michael Madas3Department of Financial and Management Engineering, School of Engineering, University of the Aegean, 82132 Chios, GreeceDepartment of Financial and Management Engineering, School of Engineering, University of the Aegean, 82132 Chios, GreeceDepartment of Financial and Management Engineering, School of Engineering, University of the Aegean, 82132 Chios, GreeceDepartment of Applied Informatics, School of Information Sciences, University of Macedonia, 54636 Thessaloniki, Greece<i>Background:</i> Despite the general impression that digital order-picking supportive technologies can manage a series of emerging challenges, there is still a very limited amount of research concerning the implementation and evaluation of such technologies in manual picker-to-goods order-picking systems. Therefore, this paper aims to evaluate the performance of three alternative picker-to-goods technologies (i.e., Pick-by-Radio Frequency (RF) Scanner, Pick-to-light, and Pick-by-vision) in terms of completion time and perceived workload. <i>Methods:</i> The Design of Experiments (DoE) methodology is adopted to investigate order-picking technologies in terms of completion time. More specifically, a full factorial design has been used (2<sup>3</sup> × 3 full factorial design) for the assessment of the aforementioned order-picking technologies via laboratory testing. Furthermore, for the comparative assessment of the reviewed order-picking technologies in terms of workload, the NASA Task Load Index (NASA-TLX) is embraced by system users. <i>Results:</i> The results reveal that the best picker-to-goods technology in terms of order-picking completion time and perceived workload under certain laboratory setup is light picking when combined with few items per order line and many order lines per order. <i>Conclusion:</i> The paper successfully identified the best picker-to-goods technology, however it is important to mention that the adoption of such order-picking technology implies certain managerial implications that include training programs for employees to ensure they are proficient in using such technologies, upfront costs for purchasing and implementing the order picking system, and adjustments to existing workflows.https://www.mdpi.com/2305-6290/8/1/13order-pickingpick-by-RF scanningpick-to-lightPick-by-visiondesign of experimentslaboratory testing |
| spellingShingle | Nikolaos Chondromatidis Anastasios Gialos Vasileios Zeimpekis Michael Madas Investigating the Impact of Completion Time and Perceived Workload in Pickers-to-Parts Order-Picking Technologies: Evidence from Laboratory Experiments Logistics order-picking pick-by-RF scanning pick-to-light Pick-by-vision design of experiments laboratory testing |
| title | Investigating the Impact of Completion Time and Perceived Workload in Pickers-to-Parts Order-Picking Technologies: Evidence from Laboratory Experiments |
| title_full | Investigating the Impact of Completion Time and Perceived Workload in Pickers-to-Parts Order-Picking Technologies: Evidence from Laboratory Experiments |
| title_fullStr | Investigating the Impact of Completion Time and Perceived Workload in Pickers-to-Parts Order-Picking Technologies: Evidence from Laboratory Experiments |
| title_full_unstemmed | Investigating the Impact of Completion Time and Perceived Workload in Pickers-to-Parts Order-Picking Technologies: Evidence from Laboratory Experiments |
| title_short | Investigating the Impact of Completion Time and Perceived Workload in Pickers-to-Parts Order-Picking Technologies: Evidence from Laboratory Experiments |
| title_sort | investigating the impact of completion time and perceived workload in pickers to parts order picking technologies evidence from laboratory experiments |
| topic | order-picking pick-by-RF scanning pick-to-light Pick-by-vision design of experiments laboratory testing |
| url | https://www.mdpi.com/2305-6290/8/1/13 |
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