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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.
Davide Aloini; Giulia Benvenuti; Riccardo Dulmin; Peter A. Gloor; Emanuele Guerrazzi; Valeria Mininno; Alessandro Stefanini. Exploring the Impact of Environmental and Human Factors on Operational Performance of a Logistics Hub. Designing Networks for Innovation and Improvisation 2020, 75 -82.
AMA StyleDavide Aloini, Giulia Benvenuti, Riccardo Dulmin, Peter A. Gloor, Emanuele Guerrazzi, Valeria Mininno, Alessandro Stefanini. Exploring the Impact of Environmental and Human Factors on Operational Performance of a Logistics Hub. Designing Networks for Innovation and Improvisation. 2020; ():75-82.
Chicago/Turabian StyleDavide Aloini; Giulia Benvenuti; Riccardo Dulmin; Peter A. Gloor; Emanuele Guerrazzi; Valeria Mininno; Alessandro Stefanini. 2020. "Exploring the Impact of Environmental and Human Factors on Operational Performance of a Logistics Hub." Designing Networks for Innovation and Improvisation , no. : 75-82.
Due to the current remarkable growth of e-commerce, the last mile logistics has become a relevant problem. In this paper, the main issues of the last mile logistics in a smart city context are introduced. We propose a solution based on a shared Information Technology (IT) platform that needs no material investments. The principle of resource pooling is applied to the sharing of heterogeneous vehicles in the urban network. In particular, an IT platform powered by an optimization algorithm is proposed to allow couriers to make their deliveries more efficiently, that is, to reduce the total distance covered by the vehicles. This was achieved through the development of four software modules: an ETL, an optimizer, a web application and a map displayer. First results are promising, but further investigations should be done in order to evaluate more accurately the expected benefits and the possible positive externalities such as improvement of air quality in the city.
Emanuele Guerrazzi. Last Mile Logistics in Smart Cities: An IT Platform for Vehicle Sharing and Routing. Organizing Smart Buildings and Cities 2019, 251 -260.
AMA StyleEmanuele Guerrazzi. Last Mile Logistics in Smart Cities: An IT Platform for Vehicle Sharing and Routing. Organizing Smart Buildings and Cities. 2019; ():251-260.
Chicago/Turabian StyleEmanuele Guerrazzi. 2019. "Last Mile Logistics in Smart Cities: An IT Platform for Vehicle Sharing and Routing." Organizing Smart Buildings and Cities , no. : 251-260.
With the rise of a consciousness in warehousing sustainability, an increasing number of autonomous vehicle storage and retrieval systems (AVS/RS) is diffusing among automated warehouses. Moreover, manufacturers are offering the option of equipping machines with energy recovery systems. This study analyzed a deep-lane AVS/RS provided with an energy recovery system in order to make an energy evaluation for such a system. A simulator able to emulate the operation of the warehouse has been developed, including a travel-time and an energy model to consider the real operating characteristics of lifts, shuttles and satellites. Referring to a single command cycle with a basic storing and picking algorithm for multiple-depth channels, energy balance and recovery measurements have been presented and compared to those of a traditional crane-based system. Results show significant savings in energy consumption with the use of a deep-lane AVS/RS.
Emanuele Guerrazzi; Valeria Mininno; Davide Aloini; Riccardo Dulmin; Claudio Scarpelli; Marco Sabatini. Energy Evaluation of Deep-Lane Autonomous Vehicle Storage and Retrieval System. Sustainability 2019, 11, 3817 .
AMA StyleEmanuele Guerrazzi, Valeria Mininno, Davide Aloini, Riccardo Dulmin, Claudio Scarpelli, Marco Sabatini. Energy Evaluation of Deep-Lane Autonomous Vehicle Storage and Retrieval System. Sustainability. 2019; 11 (14):3817.
Chicago/Turabian StyleEmanuele Guerrazzi; Valeria Mininno; Davide Aloini; Riccardo Dulmin; Claudio Scarpelli; Marco Sabatini. 2019. "Energy Evaluation of Deep-Lane Autonomous Vehicle Storage and Retrieval System." Sustainability 11, no. 14: 3817.