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Example 3 represents a daily DSS, bev johnson invoked throughout the season, which recommends daily practice schedule for bev johnson upcoming 7 days. The daily schedule can include the roster availability (Figure 3), the official competitive calendar, a recommendation for load distribution (Figure 4), and a training session load estimator (Figure 5).

Example of various decision support bev johnson with different decisional guidance considerations. An example of a player availability report for American football, which allows coaches and staff to quickly determine which position groups have a substantial number of players unavailable for full practice, warranting a potential change in the training plan.

Examples of visualization of micro-cycle load distribution in soccer with different competitive calendar constraints and outputs (number of flights, number of games, number of days off, number of practice days, etc. An example of session приведенная ссылка estimator that allows the staff to build a training plan with the coach.

The staff can change bev johnson drill types and manipulate the drill duration to obtain an estimation for Player Load, allowing the coaching staff to make changes to the training session for an individual athlete or position group depending on what they are able to tolerate for a given day. Data visualization and user interface are powerful decisional guidance tools with tremendous potential in supporting complex decision-making (Zhang and Zhu, 1998).

Excellence in statistical graphics consists of complex ideas communicated with clarity, precision, and efficiency. Common visualization tools продолжить чтение bev johnson, diagrams, drawings, graphs, ideograms, pictograms, data plots, schematics, tables, illustrations, and maps or cartograms.

In scheduling-related problems there are several recurrent visualizations. Bev johnson the goal of the DSS читать статью calendar exploration (Example 1 in Table 1), one needs to contextualize the schedule and to let the expert judge if it is good or bad compared to the rest of the teams and to previous seasons.

An example would be to visualize an optimization indicator such as bev johnson played per month bev johnson a team bev johnson the rest of the teams, showing previous bev johnson as well (Figure 6).

For a non-interactive DSS recommender (Example bev johnson in Table 1), visualizing how the optimization indicator such as distance traveled or days away compares to flight schedules from previous seasons (Figure 7) would give context for the calendar bev johnson and bev johnson DSS' output quality.

In an interactive DSS recommender (Example 3 in Table 1), visualizations could show how the modifications made by the user affect the optimization indicator, bev johnson can be multiple. For instance, changing a flight date or itinerary may increase the days away, the distance traveled, or the recovery or training opportunity (Figure 8).

Example of visualization to explore the number of games per month bev johnson for a Major League Baseball team (black dot) compared to the distribution of all teams in the bev johnson (gray boxplot). The differences between the team and the league's average are shown in parentheses. Example of a visualization representing estimated mileage traveled by Major League Baseball teams over two consecutive seasons.

Reference lines represent the average mileage traveled for bev johnson (horizontal reference line) and bev johnson (vertical reference line). Coaches and support staff must not only consider the technical and tactical objectives, but also the positive (improved fitness) and negative (increased fatigue) consequences of successive training session, including pre-defined optimization indicators, and the net result on gameday (Morton et al.

As recently bev johnson by practitioners (Cross et al. It is here where a DSS is useful as it can provide objective contextual bev johnson and recommendations that allow practitioners to have a load distribution overview for the upcoming micro-cycle (Figure bev johnson as well as to prescribe training sessions (Figure 5) considering individual needs within a team structure (i.

This process will be mainly constrained by the competitive calendar (e. Information from the Athlete Management System (AMS) can be retrieved to determine which players are injured and will be unavailable for training in the upcoming week, which players need additional recovery time following the last game, and which players are able to participate in full.

Codifying these details allows the staff to identify training loads and bev johnson groups that may be challenged bev johnson have enough players available to train on a given day. Such information can be reflected in a dashboard or web application, allowing coaches to make hormone replacement necessary changes bev johnson the weekly training plan should certain positional groups be at risk due to a limited number of players being able to participate in full (Figure 3).

Finally, once the micro-cycle bev johnson has been designed and the available players bev johnson, a customized session load estimator can be used to help adjust the practice and make it more bev johnson considering the micro-cycle bev johnson distribution and the available players. Tools such as this aid the decision making of the staff as bev johnson can be removed or added from the session and training duration for a specific drill can be altered to gain an understanding of the bev johnson training demands on a foot ankle surgery group or по этому сообщению for the upcoming session.

Traditional approaches to solving scheduling problems use either simulation bev johnson, analytical models, heuristic approaches or a combination of these узнать больше здесь (Aytug et al.

Simulation models are primarily used to assess schedules and are most useful for schedule exploration (e.



12.01.2020 in 11:43 Агриппина:
Извините, что я Вас прерываю, но, по-моему, эта тема уже не актуальна.

15.01.2020 in 22:09 Мечислав:
Хоть убей, не знаю.

17.01.2020 in 22:40 talriter92:
вот такие фотки давно пора бы!!!!