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Electrifying Off-Road Motive Power
Published in Clark W. Gellings, 2 Emissions with Electricity, 2020
Forklifts are one of the major types of non-road vehicles. Forklifts are defined as mobile vehicles powered by electric motors or internal combustion engines and used to carry, push, pull, lift, stack, or tier materials. The Industrial Truck Association (ITA) has defined seven classes of forklifts. These classes are characterized by the type of engine, work environment (indoors, outdoors, narrow aisle, smooth or rough surfaces), operator positions (sit down or standing), and equipment characteristics (type of tire, maximum grade, etc.). Several classes are further divided by operating characteristics. Table 5-2 lists the forklift classifications as well as available information from various sources on typical fuels, characteristics, horsepower, and lift capacity (EPRI 1002244).
Numerical Simulations in Virtual Environments
Published in Andrzej Grabowski, Virtual Reality and Virtual Environments, 2020
The most dangerous accidents involving forklifts are caused by a loss of stability resulting in the forklift and operator overturning. These types of accidents account for nearly 45% of heavy and fatal accidents involving forklifts, with 60% ending in the death of the operator. The situation is similar in other European countries. For example, according to data from the INRS Institute (Institut National de Recherche et de Sécurité) in France, 63% of fatal accidents involving forklifts every year are caused by the forklift overturning with the operator inside, whereas in most of the cases operators seat belts were not fastened (INRS: http://www.inrs.fr/dms/inrs/Publication/A-7-1-050-P2014-057-01/ns324.pdf). The reasons for this type of accident are, among others, excessive speeding, cornering too abruptly, running over an obstacle, or transporting and lifting a load too high.
Warehousing and Logistics
Published in Titus De Silva, Integrating Business Management Processes, 2020
Training should include, but is not limited to, (Newton, 1992) the following: Product knowledge, awareness of intended markets and special characteristics of products and markets. Includes idiosyncrasies of products types and handling requirements.Safety training: Lifting and handling, operating power-handling equipment such as forklifts.Customer service: Staff should create an image of caring and efficiency and should be able to respond to complaints about stock availability, delivery delays or supply failure.
Investigating the relationship between eye movements and the situation awareness of forklift operators for accident prevention
Published in International Journal of Occupational Safety and Ergonomics, 2023
Yutao Kang, Xinyu Zhou, Weijiong Chen, Xin Li
Differing from aviation and car driving, forklifts frequently operate in narrow spaces, paths or places with many man–machine intersections. Due to this operational characteristic, forklifts have a high probability of accidents, and when forklift accidents occur they frequently result in severe damage [1,2]. Most forklift accidents are attributed to human error, e.g., the forklift operator failing to notice the surrounding situation, making a wrong judgment or being unable to make a correct prediction of the future situation [3,4], which is extremely consistent with the theory of situation awareness (SA). The theoretical framework of SA was first proposed by Endsley [5], where SA refers to ‘being aware of what is happening around you and understanding what that information means to you now and in the future’. The SA model consists of three levels: perception of key elements in the situation (level 1 SA); understanding of information related to task goals (level 2 SA); and prediction of the near future state of the system (level 3 SA) [5–9]. In the forklift operation, operators should collect information from the surrounding environment, integrate the perceived information into a situational model and, finally, predict the development of the situation upon which they base their decisions [10]. However, low SA will increase the probability of accidents happening by lowering decision-making precision and timeliness [3,6]. Therefore, research on the SA of forklift operators is of great importance to understanding the causes of forklift accidents and improving forklift work safety.
A sustainable supply chain coordination model with an investment in green technology and electric equipment
Published in International Journal of Systems Science: Operations & Logistics, 2023
Ivan Darma Wangsa, Iwan Vanany, Nurhadi Siswanto
In this data, we consider the freight forwarder’s use of electric trucks with specifications, such as the speed average being = 20 mph. We assume all parties use the same electric forklift for handling material from the shipping to receiving area. Based on the engineering data, the load capacity of the electric forklift is = 3,300 lbs. The average of travelling speed is = 10 km/hr or 6 mph. We set the vendor’s indirect emission factor baseline, at 0.02264-ton CO2/kWh. To optimise the vendor’s indirect emission factor, the model is applied with a logarithmic investment case with data, i.e. annual fraction cost of capital investment = 0.2 and capital investment = 3,500. Based on the data, the total distance from the vendor to the distributor, the distributor to multiple retailers, and shipping-receiving facilities are 12.74, 600, and 0.025 miles, respectively, as shown in Table 4 and Figure 6. In this problem, we compare the diesel and electrical equipment (Figure 7). For example, we use Mitsubishi Fuso Canter Colt Diesel FE 74 Long-K 125 PS as a diesel truck and Mitsubishi Fuso eCanter. The fuel consumption of the diesel truck is = 0.63569 liters/mile, and the electrical consumption of the electric truck is = 6 kWh/hr. We also compare the diesel forklift from Komatsu brand, type FH40-1, and the electric forklift, from Komatsu, type FB25-12. This type with the same load capacity, i.e. 3,330 lbs. The fuel consumption of Komatsu FH40-1 (based on engineering specification data) is = 3 liters/hr, and the electrical consumption of Komatsu FB25-12 is = 2.092 kWh/hr.