Towards productive and ergonomic order picking

multi-objective modeling approach

Brigita Gajšek (Author), Simona Šinko (Author), Tomaž Kramberger (Author), Marcin Butlewski (Author), Eren Özceylan (Author), Goran Dukić (Author)

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.

Keywords

produktivnost;komisioniranje;sistem komisioniranja;zdravstvena tveganja;modeliranje;načrtovanje;logistika;ergonomija;productivity;order picking;order picking system;health risk;OWAS;multi-objective modeling;planning;logistics;ergonomics;

Data

Language:	English
Year of publishing:	2021
Typology:	1.01 - Original Scientific Article
Organization:	UM FL - Faculty of Logistics
Publisher:	MDPI
UDC:	338
COBISS:	64022275
ISSN:	2076-3417
Views:	26
Downloads:	0
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	Slovenian
Secondary keywords:	produktivnost;poraba energije;komisioniranje;sistem komisioniranja;zdravstvena tveganja;modeliranje;načrtovanje;logistika;ergonomija;
Type (COBISS):	Scientific work
Pages:	str. 1-27
Volume:	ǂVol. ǂ11
Issue:	ǂiss. ǂ9
Chronology:	2021
DOI:	10.3390/app11094179
ID:	24713785