Kit preparation for mixed model assembly – Efficiency impact of the picking information system

Fager, Patrik; Hanson, Robin; Medbo, Lars; Johansson, Mats I.

doi:10.1016/j.cie.2019.01.034

Cited by 28 publications

(25 citation statements)

References 20 publications

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“…On the other hand, according to [36], button presses are commonly used in association with light indicators in pick-by-lightsystems, while voice commands are typically used in pick-by-voice systems. To this end, in our laboratory tests, RFID technology (via RFID bracelet) was used for the picking confirmation, based on [17] and [35] recommendations. RFID scans, based on a technology that recently has emerged in applications that support picking activities, have shown promising potential in order picking process [36].…”

Section: Review Of Parameters That Affect Vision Picking Technology Pmentioning

confidence: 99%

“…decades brought a considerable number of applications and systems in order-picking process such as voice and light picking [35]. Nevertheless, there is still need for higher productivity, efficiency and less operational cost.Vision picking through smart glasses seems to be a promising technology that can fulfil the aforementioned requirements in certain cases.…”

Section: Introduction Issn 2683-345xmentioning

confidence: 99%

“…Pick-by-Light Systems, Pick-by-Voice Systems, etc.) which support the picking process [13,35]. The latter have managed to digitally transform the traditional order picking systems which are based on paper picking lists and increase the efficiency and productivity of pickers [1].…”

Section: Introduction Issn 2683-345xmentioning

confidence: 99%

See 2 more Smart Citations

Testing vision picking technology in warehouse operations: Evidence from laboratory experiments

Zeimpekis¹,

Gialos²

2020

Int J Ind Eng Manag

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Section: Review Of Parameters That Affect Vision Picking Technology Pmentioning

confidence: 99%

Section: Introduction Issn 2683-345xmentioning

confidence: 99%

See 1 more Smart Citation

Testing vision picking technology in warehouse operations: Evidence from laboratory experiments

Zeimpekis¹,

Gialos²

2020

Int J Ind Eng Manag

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“…4), are shown in Table 1 and Table 2. The example values are based on experiments data reported in Fager et al [22] and Fager [23] for manual kit preparation, and the cobots example values are based on values reported in literature [e.g. 7] and observations in a laboratory.…”

Section: Modelling Of Manual and Cobot-supported Kit Preparationmentioning

confidence: 99%

“…In this paper, to approximate time expenditure of manual tasks, statistical distributions are used. The distributions to use were identified by fitting statistical distributions to experimental data, which was collected in separate studies on manual kit preparation, as reported in Fager et al [22] and Fager [23]. The distributions were applied to picking and sorting activities of the operator, as shown in Table 2.…”

Section: Model Of Manual Kit Preparationmentioning

confidence: 99%

Modelling time efficiency of cobot-supported kit preparation

Fager

Calzavara

Sgarbossa

2019

Int J Adv Manuf Technol

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Kittingmeaning to supply assembly with components in presorted kitsis widely seen as beneficial for assembly quality and efficiency when there is a multitude of component variants. However, the process by which kits are preparedthe kit preparation is labour-intensive, and kit errors are problematic at assembly processes. The use of robotics to support kit preparation has received some attention by researchers, but literature is lacking with respect to how collaborative robotscobotscan support kit preparation activities. The purpose of this paper is to identify the potential of a cobot to support time-efficient batch preparation of kits. To address the purpose, the paper presents a mathematical model for estimation of the cycle time associated with cobotsupported kit preparation. The model is applied in a numerical example with experimental data from laboratory experiments, and cobot-supported kit preparation is compared with manual kit preparation. The findings suggest that cobot-supported kit preparation is beneficial with diverse kits and smaller components quantities per SKU (Stock Keeping Unit) and provides less variability of the outcome, when compared to manual kit preparation. The paper reveals several insights about cobotsupported kit preparation that can be valuable for both academics and practitioners. The model developed can be used by practitioners to assess the potential of cobots to support kit-batch preparation in association with assembly, spare parts, repair and maintenance, or business to business industry.

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