Analysis of the Factors of the Safe Freight Vehicle Transportation Costs of General Cargo

2021 ◽  
Vol 36 (3) ◽  
pp. 199-216
Author(s):  
Sun-Yong Hong ◽  
Si-Hyun Kim
2019 ◽  
Vol 13 (1) ◽  
pp. 27-36
Author(s):  
Andreas Neubert

Due to the different characteristics of the piece goods (e.g. size and weight), they are transported in general cargo warehouses by manually-operated industrial trucks such as forklifts and pallet trucks. Since manual activities are susceptible to possible human error, errors occur in logistical processes in general cargo warehouses. This leads to incorrect loading, stacking and damage to storage equipment and general cargo. It would be possible to reduce costs arising from errors in logistical processes if these errors could be remedied in advance. This paper presents a monitoring procedure for logistical processes in manually-operated general cargo warehouses. This is where predictive analysis is applied. Seven steps are introduced with a view to integrating predictive analysis into the IT infrastructure of general cargo warehouses. These steps are described in detail. The CRISP4BigData model, the SVM data mining algorithm, the data mining tool R, the programming language C++ for the scoring in general cargo warehouses represent the results of this paper. After having created the system and installed it in general cargo warehouses, initial results obtained with this method over a certain time span will be compared with results obtained without this method through manual recording over the same period.


2020 ◽  
Vol 3 (1) ◽  
pp. 61
Author(s):  
Kazuhiro Aruga

In this study, two operational methodologies to extract thinned woods were investigated in the Nasunogahara area, Tochigi Prefecture, Japan. Methodology one included manual extraction and light truck transportation. Methodology two included mini-forwarder forwarding and four-ton truck transportation. Furthermore, a newly introduced chipper was investigated. As a result, costs of manual extractions within 10 m and 20 m were JPY942/m3 and JPY1040/m3, respectively. On the other hand, the forwarding cost of the mini-forwarder was JPY499/m3, which was significantly lower than the cost of manual extractions. Transportation costs with light trucks and four-ton trucks were JPY7224/m3 and JPY1298/m3, respectively, with 28 km transportation distances. Chipping operation costs were JPY1036/m3 and JPY1160/m3 with three and two persons, respectively. Finally, the total costs of methodologies one and two from extraction within 20 m to chipping were estimated as JPY9300/m3 and JPY2833/m3, respectively, with 28 km transportation distances and three-person chipping operations (EUR1 = JPY126, as of 12 August 2020).


1997 ◽  
Vol 29 (4) ◽  
pp. 529-542 ◽  
Author(s):  
Mukhtar M. Ali ◽  
Richard Thalheimer

Natural Gas ◽  
2007 ◽  
Vol 5 (1) ◽  
pp. 6-7
Author(s):  
Joe Caggiano
Keyword(s):  

2015 ◽  
Vol 811 ◽  
pp. 378-382
Author(s):  
Mihaela Debita ◽  
Carmina Liana Musat ◽  
Madalina Rus ◽  
Elena Mereuta ◽  
Claudiu Mereuta

The paper presents some technical considerations regarding the medical waste transportation and an optimization calculus for minimizing the transportation costs of a company specialized and authorized in collecting, transporting and final disposal of medical waste generated by healthcare facilities. The calculus revealed that it is possible to significantly reduce the transportation costs (up to 65.52%), but there are also other analysis possibilities like considering the in-between points from sources to destinations, alternative paths, limits to the amount of medical waste on each path, time.


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