High-speed external rotator strength and isometric internal rotator strength of the affected shoulders were decreased significantly. Isokinetic exercise may not increase the resting muscle activities and co-activity. These results provide a reference in planning muscle strengthening programmes and goals for these patients.

The aim of scheduling is getting a production plan to guide the shop working. Scheduling has become a key part of realizing CIMS along with the modern production development. Thus it can be seen that the position of scheduling in manufacture is extraordinary important. So a practical method must be proposed for the real production environment. The gradual optimize scheduling is proposed to save this problem.

The automatic scheduling is not suitable for manufacture in most case, because it cannot fully utilize the experience of the operator and effectively response the disturbance events from the production progress. In order to solve these problems the manual scheduling technology using the pattern of human-computer collaborative is proposed. The graphical scheduling block has been discrete through applying the kernel methods including the combination of multi-layer displaying of Gantt-Chart, the model of machine calendar, mouse selected mechanism and auxiliary function for manual scheduling. By building multi-layer normative modular manual scheduling operations, we divide the manual scheduling operation into three steps: the selection of manual scheduling process, the selection of the inserting base, and the inserting mode. At the same time constrains transferring mode provoked by the three kinds of inserting mode is analyzed. By controlling constrains in the progress of the manual adjustment makes sure that the manual scheduling result meets the demand of job shop production. Finally, the algorithms in this paper are validated by the software developed with C++.

The current environment is experiencing a transformation from multi varieties and little batch to multi varieties and batch, this situation has result that companies’ management do not suite it. According to this the scheduling frame research facing rapid response manufacturing has been proposed. At first through this analyzing the problem in current situation, the whole scheduling frame is researched. Secondly, many models that can be used in this frame have been discussed such as manufacturing information, disturbance events, automatic scheduling and dynamic scheduling models. Finally the whole scheduling platforms which can be used in practical situation has been proposed and make a technical function base for current manufacturers.

For the rapid response to production scheduling problem driven by high-density production tasks, a dynamic scheduling technology for the large precision strip products assembly with a mixture of task time nodes and line-rail space is proposed. A scheduling constrained model containing coverage, proximity, timeliness and resource is established. A linear rail space production scheduling technology using heuristic automatic scheduling and event-driven method is put forward. The time rule based on delivery and single completion assembly is formed, at the same time the space rule based on the adjacent rail and comprehensive utilization is researched. Supposing the privilege of single product assembling as the core, the scheduling parts filter method based on multiple constraints and former rules. For the space layout problem, a clingy forward and backward algorithms is proposed to judge the assemble position regarding the space comprehensive utilization rate. The classification of the various disturbances in the actual production is summarized. Three basic algorithms are proposed, including insertion, moving and re-scheduling algorithm, in order to solve the assembly dynamic scheduling problem driven by production disturbance events. Finally, take rocket as the example， the rocket assembly space production scheduling system is developed, combining with the proposed algorithm. The practicability of the system is validated using real data.