Abstract
This work aims to explore the environmental and human factors affecting productivity of warehouse operators in material handling activities. The study was carried out in a semi-automated logistic hub and the data collection has been conducted using wearable sensors able to detect human-related variables such as heart rate and human interactions, based on a smartwatch combined with a mobile application developed by the MIT Center for Collective Intelligence. Preliminary analysis has shown that the interaction between the warehouse operators and the team leader significantly affects the productivity.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
M. Napolitano, 2012 warehouse/DC operations survey: mixed signals. Mod. Mater. Handl. 51(11), 48–56 (2012)
E. Grosse, C. Glock, M. Jaber, W. Neumann, Incorporating human factors in order picking planning models: framework and research opportunities. Int. J. Prod. Res. 53(3), 695–717 (2015)
E. Grosse, H. Glock, P. Neumann, Human factors in order picking: a content analysis of the literature. Int. J. Prod. Res. 55(5), 1260–1276 (2017)
P.A. Gloor, A. Fronzetti Colladon, F. Grippa, P. Budner, J. Eirich, Aristotle said “Happiness is a state of activity”—Predicting mood through body sensing with smartwatches. J. Syst. Sci. Syst. Eng. 27(5) (2018)
Z.S. Maman, M.A.A. Yazdi, L.A. Cavuoto, F.M. Megahed, A data-driven approach to modeling physical fatigue in the workplace using wearable sensors. Appl. Ergon. 515–529 (2017)
W.P. Neumann, J. Dul, Human factors: spanning the gap between OM and HRM. Int. J. Oper. Prod. Manag. 30(9), 923–950 (2010)
D. Aloini, R. Dulmin, V. Mininno, A hybrid fuzzy-PROMETHEE method for logistics service selection: design of a decision support tool. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 18(04), 345–369 (2010)
D. Aloini, R. Dulmin, V. Mininno, S. Ponticelli, Key antecedents and practices for Supply Chain Management adoption in project contexts. Int. J. Project Manage. 33(6), 1301–1316 (2015)
P. Leather, D. Beale, L. Sullivan, Noise, psychosocial stress and their interaction in the workplace. J. Environ. Psychol. 23(2), 213–222 (2003)
J.A. Russell, A circumplex model of affect. J. Pers. Soc. Psychol. 39(6), 1161–1178 (1980)
Acknowledgements
The authors want to thank the workers of the logistics hub that agreed to be part of the study. They have been informed both about the data collection and the experiment; moreover, they formally accepted to be part of the study through signing a related document.
The collected data have been used in accordance to the national standard (art. 13, D.Lgs 196/2003 and its amendments, Italy) regarding the privacy of personal data.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Aloini, D. et al. (2020). Exploring the Impact of Environmental and Human Factors on Operational Performance of a Logistics Hub. In: Przegalinska, A., Grippa, F., Gloor, P. (eds) Digital Transformation of Collaboration. COINs 2019. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-030-48993-9_6
Download citation
DOI: https://doi.org/10.1007/978-3-030-48993-9_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-48992-2
Online ISBN: 978-3-030-48993-9
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)