As the 4th industrial revolution emerges, the implementation of smart factories are essential in the manufacturing industry. However, 80% of small and medium-sized enterprises that have introduced smart factories remain at the basic level. In addition, in root industries such as injection molding, PLC and HMI software are used to implement functions that simply show operation data aggregated by facilities in real time. This has limitations for managers to make decisions related to product production other than viewing data. This study presents a method for upgrading the level of smart factories to suit the reality of small and medium-sized enterprises. By monitoring the data collected from the facility, it is possible to determine whether there is an abnormal situation by proposing an appropriate algorithm for meaningful decision-making, and an alarm sounds when the process is out of control. In this study, the function of HMI has been expanded to check the failure frequency rate, facility time operation rate, average time between failures, and average time between failures based on facility operation signals. For the injection molding industry, an HMI prototype including the extended function proposed in this study was implemented. This is expected to provide a foundation for SMEs that do not have sufficient IT capabilities to advance to the middle level of smart factories without making large investments.

At present, ECDIS has been widely used in ship positioning, collision avoidance and navigation, and has developed into an important part of integrated navigation and automation system. However, most ECDIS software focuses too much on system function and technical level when realizing powerful navigation AIDS, neglecting the problems that the crew are most concerned about, such as realizing the human-computer interface operation quickly and simply as well as obtaining the information of human-computer interaction effectively and accurately. In order to improve the design of Electronic Chart Display and Information system（ECDIS）human-computer interface and its usability effectively, a new method for evaluating ECDIS human-computer interface is proposed. Starting from the concept and connotation of usability, five-factor personality model is used to measure the users’ personality type in reference to the essence of usability (user’s emotional experience) and calculate the basic emotional variant of users. Then, according to the users’ emotional stimulation after finishing the given ECDIS task and combining with the system Usability scale (SUS), a tool dedicated to usability testing and five dimensions of usability evaluation proposed by Jakob Nielsen, father of usability, the emotion relationship model of usability and users is established by using partial least square method ( PLS ), and the validity of the model is verified with an aim to locate the key indicators that affect the usability of the ECDIS human-computer interface, It will be more helpful to improve the usability of ECDIS human-computer interface.

Work-related injurieshave become the issue in the twentieth century. Musculoskeletal disorders are the most common work-related injuriesand the most frequent from of work-related i11-health (more than 50％ of total work-related injuries (BLS 1990)). The workers at copy shops have complained of pain in their back, legs, and shoulders. Most of them work for more than 8 hours a day. They have claimed that their pains were associated with repetitive and continuous work over a long term. The purpose of this research is to suggest an ergonomically comfortable redesign of the copy machine. This study was performed by conducting a survey of copy shop workers who have complained of job-related physical pain, and analyzing their working postures. The copy machine was ergonomically modified to reduce the workers' pain. The VIS10N 3000 software was used to analyze the posture. The analysis showed significant difference in the ranges of back and neck motion (p<0.05).