Next Article in Journal
Sustainable Harvesting of Cinnamomum burmannii (Nees & T. Nees) Blume in Kerinci Regency, Indonesia
Previous Article in Journal
Integrating Basic Urban Services for Better Sanitation Outcomes
Previous Article in Special Issue
Knowledge Management and the Sustainable Development of Social Work
Open AccessArticle

Sustainability through the Digitalization of Industrial Machines: Complementary Factors of Fuel Consumption and Productivity for Forklifts with Sensors

1
School of Social Sciences, Södertörn University, 141 89 Huddinge, Sweden
2
Department of Informatics and Media, Uppsala University, 751 20 Uppsala, Sweden
3
Research Manager, Bestwood AB, 172 75 Sundbyberg, Sweden
4
Department of Informatics, Linnaeus University, 351 95 Växjö, Sweden
*
Author to whom correspondence should be addressed.
Sustainability 2019, 11(23), 6708; https://doi.org/10.3390/su11236708
Received: 23 October 2019 / Revised: 22 November 2019 / Accepted: 23 November 2019 / Published: 27 November 2019
(This article belongs to the Special Issue Sustainability in the Global-Knowledge Economy)
Increasing the fuel efficiency of industrial machines through digitalization can enable the transport and logistics sector to overcome challenges such as low productivity growth and increasing CO2 emissions. Modern digitalized machines with embedded sensors that collect and transmit operational data have opened up new avenues for the identification of more efficient machine use. While existing studies of industrial machines have mostly focused on one or a few conditioning factors at a time, this study took a complementary approach, using a large set of known factors that simultaneously conditioned both the fuel consumption and productivity of medium-range forklifts (n = 285) that operated in a natural industrial setting for one full year. The results confirm the importance of a set of factors, including aspects related to the vehicles’ travels, drivers, operations, workload spectra, and contextual factors, such as industry and country. As a novel contribution, this study shows that the key conditioning factors interact with each other in a non-linear and non-additive manner. This means that addressing one factor at a time might not provide optimal fuel consumption, and instead all factors need to be addressed simultaneously as a system. View Full-Text
Keywords: digitalization; complementarities; sustainability; fuel consumption; heavy-duty equipment; productivity; sensor data digitalization; complementarities; sustainability; fuel consumption; heavy-duty equipment; productivity; sensor data
Show Figures

Figure 1

MDPI and ACS Style

Pashkevich, N.; Haftor, D.; Karlsson, M.; Chowdhury, S. Sustainability through the Digitalization of Industrial Machines: Complementary Factors of Fuel Consumption and Productivity for Forklifts with Sensors. Sustainability 2019, 11, 6708.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop