Journal of Management and Engineering Integration, v.12 no.2

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    Journal of Management & Engineering Integration, v.12 no.2 (Winter)
    (Association for Industry, Engineering and Management Systems (AIEMS), 2019-12) Association for Industry, Engineering and Management Systems (AIEMS)
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    Safety culture at a collegiate flight school
    (Association for Industry, Engineering and Management Systems (AIEMS), 2019-12) Wheeler, Brooke; Cambata, Christopher; Alyamani, Gazali; Fox, Greg; Silver, Isaac
    Safety management systems are implemented in aviation to assess and iteratively improve on safety, with the goal of monitoring and maintaining a strong safety culture to reduce risks and avoid future incidents and accidents. Maintaining a strong safety culture is a critical component of maintaining safety in organizations from airlines to flight schools. Safety management systems (SMSs) stress iterative assessment and improvement in order to decrease risk. Regular assessment of safety culture allows for the promotion of safety. The purpose of this study was to examine safety culture at a collegiate flight school in the southeastern United States using the Global Aviation Information Network's (GAIN) individual safety survey (2001) and determine if different groups within the organization had different perceptions of safety: undergraduate students in ground courses, maintenance personnel, and flight instructors. Overall, survey results indicated a positive safety culture. Although there was a significant difference in responses between students in Aeronautics 1 and 4, the effect size indicated that the difference was quite small, and there were no significant differences between any other groups.
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    Effects of design parameters on dimensional accuracy of parts made on a mini 3-axis CNC router
    (Association for Industry, Engineering and Management Systems (AIEMS), 2019-12) Radharamanan, R.
    Computer numerical control (CNC) is a very broad term that encompasses a variety of types of machines used in industrial automation - all with different sizes, shapes, and functions. But the easiest way to think about CNC is to simply understand that it is all about using a computer as a means to control a machine that carves useful objects from solid blocks of material. Traditional CNC machines are expensive, complicated, and typically only found in large manufacturing companies that can afford them. Small hobbyist CNC machines can run anywhere from 7,000 dollars and higher; professional machines can cost millions of dollars! Now, for a fraction of the cost - under 800 dollars one can own a Mini 3-axis CNC machine and cut, drill, mill, and carve objects of one's imagination. In this paper, a Mini 3-axis CNC router was assembled and tested for machining different materials such as plastic and wood. Simple shapes of circles (diameter, d = 1") and squares (side, a = 1") were cut using the CNC router. G-Code programs were developed to cut the required circles and squares. A digital caliper was used to measure the diameter of the circles and the side of the squares. Data were collected for a 2k factorial design experiments considering 2-levels for parameters: spindle speed, feed rate, cut depth, object shape, and material. Statistical analyses were performed to determine the effects of chosen parameters on the dimensional accuracy of the parts made. The results indicated that the parameters material, object shape, and cut depth have significant effects on the dimensional accuracy of the parts made.
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    A variation of the network flow algorithm to optimize the diversity of project groups
    (Association for Industry, Engineering and Management Systems (AIEMS), 2019-12) Mauch, Holger
    Research has shown that the amount of diversity within project groups has an effect on how well groups perform. In particular, groups that are balanced with respect to gender, race, national origin, and social background tend to be more creative, more productive, and perform better on average than non-diversified groups (Hunt 2015, Hunt 2018). Therefore the assignment of employees to project groups must also take into account the sub-goal of diversification during the decision making process (in addition to hard constraints such as suitable skill level of an employee to even qualify for membership in a group.) The additional constraints this imposes on the optimization problem of finding the best group composition can be a considerable challenge for management. In this paper, we present a new variation of a classical network flow algorithm to solve this problem optimally. We show the results of an application area where optimal groups have been formed that work together. The results have been obtained by the software implementation of our algorithm called "NF Group Diversity".
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    A genetic algorithm for battery-based energy storage transportation using railway
    (Association for Industry, Engineering and Management Systems (AIEMS), 2019-12) Abdallah, Khaled S.; Taha, Raghda B.
    The use of renewable energy sources has increased significantly in the past few years. Due to the intermittent nature of the renewable energy sources, planning and distribution of this energy is considered a challenging process. Energy storage systems have a great potential towards these challenges as it can store energy from different sources and then distribute it to regions with high demand such as in the case of Battery Based Energy Storage System. In this paper, the impact of railway Battery Based Energy Storage System on the power grid is considered. A genetic algorithm is proposed for solving the dispatching of rechargeable battery-based energy storage train vehicles to satisfy the charging/discharging requirements of rural areas not directly connected to the power grid due to being temporary locations such as rural cities under construction and military rural campuses. A multi-objective model is proposed that has the following objectives: 1) to minimize the transportation cost associated with the train route; and 2) to minimize the number of Battery Storage vehicles. A Genetic Algorithm is developed and tested using numerical examples. The results show the effectiveness of the proposed algorithm in providing good solutions using the minimum number of Battery storage vehicles in a cost-effective energy distribution system.