This study deals with replacement analysis of deteriorated equipment for improving productivity of production system. Frequent breakdown of the deteriorated equipment causes a situation that reduces productivity such as low product quality, process delay, and repair cost. However, the replacement of new equipment will be required a high initial investment cost, so it is important to analysis the economic feasibility. Therefore, we analyze the effect of the production system due to the aging effect of the equipment and the feasibility of equipment replacement based on the economic analysis. The process flow, working time, logistics movement, etc. are analyzed in order to build the simulation modeling for a ship and land switchboard production system. Using numerical examples, the economic feasibility analysis of equipment replacement through replacement of existing deteriorated equipment and additional arrangement of new facilities is performed.

Recently, the Defense Advanced Research Projects Agency(DARPA) in the United States is studying a new concept of war called Mosaic Warfare, and MUM-T(Manned-Unmanned Teaming) through the division of missions between expensive manned and inexpensive unmanned aircraft is at the center. This study began with the aim of deriving the priority of autonomous functions according to the role of unmanned aerial vehicles in the present and present collaboration that is emerging along with the concept of mosaic warfare. The autonomous function of unmanned aerial vehicles between the presence and absence collaboration may vary in priority depending on the tactical operation of unmanned aerial vehicles, such as air-to-air, air-to-ground, and surveillance and reconnaissance. In this paper, ACE (Air Combat Evaluation), Skyborg, and Longshot, which are recently studied by DARPA, derive the priority of autonomous functions according to air-to-air collaboration, and use AHP analysis. The results of this study are meaningful in that it is possible to recognize the priorities of autonomous functions necessary for unmanned aircraft in order to develop unmanned aerial vehicles according to the priority of autonomous functions and to construct a roadmap for technology implementation. Furthermore, it is believed that the mass production and utilization of unmanned air vehicles will increase if one unmanned air vehicle platform with only essential functions necessary for air-to-air, air-to-air, and surveillance is developed and autonomous functions are expanded in the form of modules according to the tactical operation concept.

Long-term non-surgical contraceptive methods for cats, especially community cats, are of global interest for cost-effective and humane reasons. This study aimed to investigate the effectiveness of a gonadotropin-releasing hormone (GnRH)-based vaccine for immunocontraception and to confirm its safety in intact female cats. Recombinant Salmonella typhimurium flagellin fljB (STF2)-GnRH protein was expressed in Escherichia coli. We divided female cats into vehicle control group (n = 4) and two experimental groups (100 μg injection group [n = 7] and 1000 μg injection group [n=7]), and immunized them twice intramuscularly (0.2 mL/cat at zero week and 4 weeks later into the other leg). Breeding trials started on day 120. All control cats (n = 4/4), 71% of the 100 μg injection group (n = 5/7), and 57% of the 1000 μg injection group (n = 4/7) became pregnant within 203 days after the introduction of male cats. The 1000 μg injection group had significantly a longer median time to conception following treatment (166 days) than the control (17 days, p < 0.05). Average litter size was significantly lower in the 1000 μg GnRH-vaccinated cats (2.8 ± 0.7) than in the control cats (4.5 ± 0.5, p < 0.05). Injection site reactions were not observed in any cat. The E. coli-expressed STF2-GnRH vaccine did not provide contraception in a sufficient proportion of the cats. However, it might be effective to suppress fertility through infertility vaccines before inducing permanent infertility through the trap-neuter-return.