Electric driving in machine shops

1903 ◽  
Vol 32 (163) ◽  
pp. 964-983
Author(s):  
A.B. Chatwood
1999 ◽  
Author(s):  
W.K. Sieber ◽  
G.M. Piacitelli ◽  
R.T. Hughes ◽  
R.A. Glaser ◽  
J.D. Catalano ◽  
...  

1936 ◽  
Vol 7 (1) ◽  
pp. 6-11
Author(s):  
A. Goetz ◽  
A. Romer
Keyword(s):  

2021 ◽  
pp. 147-163
Author(s):  
Friedrich Graf ◽  
Martin Beiderbeck ◽  
Thomas Knorr ◽  
Dietmar Ellmer ◽  
Mattia Perugini

2019 ◽  
Vol 1 (1) ◽  
pp. 472-480 ◽  
Author(s):  
Máté Zöldy ◽  
Imre Zsombók

AbstractDuring our research, we focus on a less researched area in the development of autonomous vehicles. Automotive industry is turning more and more from conventional, internal combustion engine equipped vehicles to the electric cars. Today, electric driving is mostly limited to urban traffic, this is the area where range and refueling limits can be a real alternative. However, it is important to think of those who intend to use vehicle in longer distances, and hybrid technology can provide them a modern, environmentally conscious way of transport.In this article, we describe the method of creating the fuel consumption influencing factors matrix, which is the starting point of our research. We studied relevant researches and based on refueling studies we created the matrix. Based on results of real tests, we determined the factor mix that are the basis of our fuel consumption prediction model. These results will be inputs of planning routes of autonomous vehicles with optimized refueling and fuel consumption.


2020 ◽  
Vol 32 (1) ◽  
pp. 20-41
Author(s):  
Jose Orlando Montes ◽  
F. Xavier Olleros

PurposeThis article explores a particular on-demand fabrication unit, the microfactory (MF). It identifies and contrasts several MFs and proposes a taxonomy. This research also explores online manufacturing platforms (OMP) that complement certain MFs.Design/methodology/approachThis research implements a multiple case study (71 cases in 21 countries), triangulating data available on the web with interviews, virtual/physical tours and experiential research.FindingsThe results suggest that automation and openness are the main dimensions that differentiate the MFs. Using these dimensions, a taxonomy of MFs is created. MFs with relatively low automation and high openness tend to be innovation-driven microfactories (IDMFs). MFs with high automation and low openness levels tend to be customization-driven microfactories (CDMFs). And MFs with relatively low automation and low openness tend to be classic machine shops (MSs). There are two types of OMP: closed (COMPs) and multisided (MOMPs). MOMPs can be low-end or high-end.Practical implicationsIn a world where online platforms are becoming central to the reinvention of manufacturing, multisided online platforms and small fabricators will become strongly symbiotic.Originality/valueThis paper offers a clearer conceptualization of MFs and OMPs, which may help to better understand the reality of local on-demand fabrication. Moreover, it explores a new type of experiential research, which tries to describe and interpret firms through transactional activities. Many details of a firm that are difficult to capture via interviews and netnography can be revealed this way.


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