Background: A functional movement screen (FMS) can be used as an intervention method as well as a test method. Compensatory action due to a faulty functional movement result in imbalance of the body, and decrease in proprioceptive sensation and flexibility. However, the benefits of exercise using FMS on proprioceptive sensation and flexibility are unclear.
Objectives: This study aimed to investigate the effect of exercise using FMS on the proprioceptive sensation and flexibility.
Design: Pretest-posttest control group experimental design.
Methods: Fifty-two young adults in their 20s were divided into an FMS exercise group (FEG, n=26) and a control group (CG, n=26). The FEG conducted FMS exercise intervention for 12 days, and CG did not implement any intervention. Each group evaluated proprioceptive sensation and flexibility before and after exercise. To measure proprioceptive sensation, the angles were measured at both shoulder joints, elbow joints, hip joints, and knee joints using the active joint sensory position test method. To measure flexibility, situp forward bending evaluation was performed.
Results: In the FEG, bilateral proprioceptive sensation and flexibility improved significantly after intervention (all P<.01). There were no significant differences in the CG (all P>.05). After the intervention, there were significant differences between the groups in both proprioceptive sensation and flexibility (all P<.05).
Conclusion: The findings suggest that exercise using FMS can significantly improve proprioceptive sensation and flexibility. Therefore, it is suggested to consider exercise using FMS as an intervention to increase joint proprioceptive sensation and flexibility.
To enhance the effectiveness of the FMS (flexible manufacturing system), it is necessary for the manufacturing control system to be upgraded by integrating the cyber and the physical manufacturing systems. Using the CPPS (Cyber-Physical Production System) concept, this study proposes a 4-stage vertical integration and control framework for an aircraft parts manufacturing plant. In the proposed framework, the process controller prepares the operations schedule for processing work orders generated from the APS (advanced planning & scheduling) system. The scheduled operations and the related control commands are assigned to equipments by the dispatcher of the line controller. The line monitor is responsible for monitoring the overall status of the FMS including work orders and equipments. Finally the process monitor uses the simulation model to check the performance of the production plan using real time plant status data. The W-FMCS (Wing rib-Flexible Manufacturing Control & Simulation) are developed to implement the proposed 4-stage CPPS based FMS control architecture. The effectiveness of the proposed control architecture is examined by the real plant’s operational data such as utilization and throughput. The performance improvement examined shows the usefulness of the framework in managing the smart factory’s operation by providing a practical approach to integrate cyber and physical production systems.
This study deals with the case study on the pallet quantity determination problem for the flexible manufacturing system producing 32 different types of aircraft wing ribs which are major structures of an aircraft wings. A Korean company has constructed the WFMS (wing rib flexible manufacturing system) that is composed of several automated equipments such as the 5-axis machining centers, the RGV (rail guided vehicles)s, the AS/RS (automated storage and retrieval system), the loading/unloading stations, and so on. Pallets play a critical role in the WFMS to maintain high system utilization and continuous work flow between 5-axis machining machines and automated material handling devices. The discrete event simulation method is used to evaluate the performance of the WFMS under various pallet mix alternatives for wing rib manufacturing processes. Four performance measures including system utilization, throughput, lead-time and work in process inventory level are investigated to determine the best pallet mix alternative. The best pallet mix identified by the simulation study is adopted in setting up and operating a real Korean aircraft parts manufacturing shop. By comparing the real WFMS’s performances with those of the simulation study, we discussed the cause of performance difference observed and the necessity of developing the CPS (cyber physical system).
Ocean general circulation model developed by GFDL on the basis of MOM4 of FMS are examined and evaluated in order to elucidate the global ocean status. The model employs a tripolar grid system to resolve the Arctic Ocean without polar filtering. The meridional resolution gradually increases from 1/3˚ at the equator to 1˚ at 30˚N(S). Other horizontal grids have the constant 1˚ and vertical grids with 50 levels. The ocean is also coupled to the GFDL sea ice model. It considers tidal effects along with fresh water and chlorophyll concentration. This model is integrated for a 100 year duration with 96 cpu forced by German OMIP and CORE dataset. Levitus, WOA01 climatology, serial CTD observations, WOCE and Argo data are all used for model validation. General features of the world ocean circulation are well simulated except for the western boundary and coastal region where strong advection or fresh water flux are dominant. However, we can find that information concerning chlorophyll and sea ice, newly applied to MOM4 as surface boundary condition, can be used to reduce a model bias near the equatorial and North Pacific ocean.
Change in manufacturing systems are those that occur during production and cause the systems to behave unpredictably. So scheduling problem in this dynamic industrial environments is very complex. The main concept of This dissertation is to continuously monitor a manufacturing system' status(RPJ, RLJ, RSDJ, JIT) and detect or predict a change so that scheduling system will react by Modifying production schedule(dispaching rule) to lessen the effects of this change.
Gradually recent automatic systems require how to manipulate all shared internal resources of system including components manufacturing equipments. Especially practical operation schedulings of manufacturing are gradually inevitable procedures in dynamic industrial environments. We suggest and evaluate a dynamic scheduling rule of machine and material handling system for on-line operation in job shop type FMS. Because alternating status should be included in operation scheduling procedures effectively and without delay in dynamic industrial environments, the mutual interaction between the machine operation scheduling and AGV dispatching rule was also studied to be based on simulation. This study compared the performance of the evaluation which was obtained from Dynamic Scheduling of FMS, and developed the Priority Rule Matrix for switching mechanism in dynamic environment by using those results.
Production schedule and realization quantity of Large type bus [929(HD), 928, 928-A(SD), 937E/L, 937/L,] were analyzed in order to intruoduce FMS(Flexible Manufacturing System) appropriate for varities of customer desire and multi-item, small lot production. And this paper is aimed to propose introduction method of FMS, analyzing zig tools change times and idle times with production line and workers as an object. According to analysis results, only simple spec., depending on bus type, changed with decrease in production. For 929(HD), 928,928-A(SD), 937Eh, 937/L bus type, there was no harmony between schdule and realization. Therefore, it caused many difficulties in part supply. And there was loss of manpower and reduction of productibility due to idle time of process with bus type change. Production processes were operated inefficiently because tact time exceeded or shortaged of allow time.