Towards Productive and Ergonomic Order Picking: Multi-Objective Modeling Approach
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 storag...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-05-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/9/4179 |
| _version_ | 1827693441959591936 |
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| author | Brigita Gajšek Simona Šinko Tomaž Kramberger Marcin Butlewski Eren Özceylan Goran Đukić |
| author_facet | Brigita Gajšek Simona Šinko Tomaž Kramberger Marcin Butlewski Eren Özceylan Goran Đukić |
| author_sort | Brigita Gajšek |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T11:43:41Z |
| format | Article |
| id | doaj.art-c3b580d70a2f490d946bfd7a9e8342d6 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T11:43:41Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-c3b580d70a2f490d946bfd7a9e8342d62023-11-21T18:19:14ZengMDPI AGApplied Sciences2076-34172021-05-01119417910.3390/app11094179Towards Productive and Ergonomic Order Picking: Multi-Objective Modeling ApproachBrigita Gajšek0Simona Šinko1Tomaž Kramberger2Marcin Butlewski3Eren Özceylan4Goran Đukić5Faculty of Logistics, University of Maribor, 3000 Celje, SloveniaFaculty of Logistics, University of Maribor, 3000 Celje, SloveniaFaculty of Logistics, University of Maribor, 3000 Celje, SloveniaFaculty of Mechanical Engineering and Management, Poznan University of Technology, 60-965 Poznan, PolandDepartment of Industrial Engineering, Gaziantep University, Gaziantep 27100, TurkeyFaculty of Mechanical Engineering and Naval Architecture, University of Zagreb, 10000 Zagreb, CroatiaThe 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.https://www.mdpi.com/2076-3417/11/9/4179productivityenergy expenditurehealth riskorder pickingOWASmulti-objective modeling |
| spellingShingle | Brigita Gajšek Simona Šinko Tomaž Kramberger Marcin Butlewski Eren Özceylan Goran Đukić Towards Productive and Ergonomic Order Picking: Multi-Objective Modeling Approach Applied Sciences productivity energy expenditure health risk order picking OWAS multi-objective modeling |
| title | Towards Productive and Ergonomic Order Picking: Multi-Objective Modeling Approach |
| title_full | Towards Productive and Ergonomic Order Picking: Multi-Objective Modeling Approach |
| title_fullStr | Towards Productive and Ergonomic Order Picking: Multi-Objective Modeling Approach |
| title_full_unstemmed | Towards Productive and Ergonomic Order Picking: Multi-Objective Modeling Approach |
| title_short | Towards Productive and Ergonomic Order Picking: Multi-Objective Modeling Approach |
| title_sort | towards productive and ergonomic order picking multi objective modeling approach |
| topic | productivity energy expenditure health risk order picking OWAS multi-objective modeling |
| url | https://www.mdpi.com/2076-3417/11/9/4179 |
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