Enhancing operations management through smart sensors: measuring and
improving well-being, interaction and performance of logistics workers
- URL: http://arxiv.org/abs/2112.08213v1
- Date: Wed, 15 Dec 2021 15:40:06 GMT
- Title: Enhancing operations management through smart sensors: measuring and
improving well-being, interaction and performance of logistics workers
- Authors: D. Aloini, A. Fronzetti Colladon, P. Gloor, E. Guerrazzi, A. Stefanini
- Abstract summary: The purpose of the research is to conduct an exploratory investigation of the material handling activities of an Italian logistics hub.
Wearable sensors and other smart tools were used for collecting human and environmental features during working activities.
Results suggest that human attitudes, interactions, emotions and environmental conditions remarkably influence workers' performance and well-being.
- Score: 0.0
- License: http://creativecommons.org/licenses/by-nc-nd/4.0/
- Abstract: Purpose The purpose of the research is to conduct an exploratory
investigation of the material handling activities of an Italian logistics hub.
Wearable sensors and other smart tools were used for collecting human and
environmental features during working activities. These factors were correlated
with workers' performance and well-being.
Design/methodology/approach Human and environmental factors play an important
role in operations management activities since they significantly influence
employees' performance, well-being and safety. Surprisingly, empirical studies
about the impact of such aspects on logistics operations are still very
limited. Trying to fill this gap, the research empirically explores human and
environmental factors affecting the performance of logistics workers exploiting
smart tools.
Findings Results suggest that human attitudes, interactions, emotions and
environmental conditions remarkably influence workers' performance and
well-being, however, showing different relationships depending on individual
characteristics of each worker.
Practical implications The authors' research opens up new avenues for
profiling employees and adopting an individualized human resource management,
providing managers with an operational system capable to potentially check and
improve workers' well-being and performance.
Originality/value The originality of the study comes from the in-depth
exploration of human and environmental factors using body-worn sensors during
work activities, by recording individual, collaborative and environmental data
in real-time. To the best of the authors' knowledge, the current paper is the
first time that such a detailed analysis has been carried out in real-world
logistics operations.
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