| Title: | Towards productive and ergonomic order picking : multi-objective modeling approach |
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| Authors: | ID Gajšek, Brigita (Author) ID Šinko, Simona (Author) ID Kramberger, Tomaž (Author) ID Butlewski, Marcin (Author) ID Özceylan, Eren (Author) ID Đukić, Goran (Author) |
| Files: | Gajsek-2021-Towards_Productive_and_Ergonomic_O.pdf (3,63 MB) MD5: 9B100F83A1B87140E3ED69A47F7B3285
https://doi.org/10.3390/app11094179
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| Language: | English |
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| Work type: | Scientific work |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FL - Faculty of Logistic
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| Abstract: | The logistics sector should strive for sustainability alongside productivity by protecting its order pickers' health and welfare. Existing storage assignment models are mainly based on the criterion of order picking time and, to a lesser extent, the human factor. In the paper, a solution to a storage assignment problem using a multi-objective model based on binary integer linear programing is presented by developing a solution that considers order picking time, energy expenditure and health risk. The Ovako Working Posture Assessment System (OWAS) method was used for health risk assessment. The downside of solely health risk-optimization is that the average order picking time increases by approximately 33 % compared to solely time-optimization. Contrary to this, the developed multi-objective function emphasizing time has proven to be promising in finding a compromise between the optimal order picking time and eliminating work situations with a very-high risk for injuries. Its use increases the time by only 3.8 % compared to solely time-optimization while significantly reducing health risk. |
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| Keywords: | productivity, energy expenditure, order picking, order picking system, health risk, OWAS, multi-objective modeling, planning, logistics, ergonomics |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 27.03.2021 |
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| Article acceptance date: | 27.04.2021 |
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| Publication date: | 04.05.2021 |
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| Publisher: | MDPI |
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| Year of publishing: | 2021 |
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| Number of pages: | Str. 1-27 |
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| Numbering: | Letn. 11, Št. 9, št. članka 4179 |
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| PID: | 20.500.12556/DKUM-89822  |
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| UDC: | 338 |
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| ISSN on article: | 2076-3417 |
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| COBISS.SI-ID: | 64022275  |
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| DOI: | 10.3390/app11094179  |
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| Publication date in DKUM: | 13.08.2024 |
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| Views: | 305 |
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| Downloads: | 19 |
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| Metadata: |  |
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| Categories: | Misc.
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