This section demonstrates by example how the NCRAWL framework allows for easy implementation of scheduling algorithms.
We then describe a number of different considerations that must be taken into account when assessing the quality of a schedule, and discuss their implications for the design and implementation of scheduling systems.
Future steps in the clinical implementation of hypofractionated schedules will involve the development of biomarkers to measure individual α/β ratios for each patient and personalise treatment schedules to provide the optimum outcome.
While therapists explore a client's past and look at present behaviors and the emotional impact, a life coach will deal with implementation of goals, schedules, planning and getting practical things done, like weight loss or succeeding at a new job.
It is also possible that parental stress related to managing their child's chronic illness might contribute to poor implementation of sleep schedules, and thus sleep problems.
We use the HCS to analyze MD duty schedules before and after the implementation of a schedule structure redesign intended to maximize patient and MD familiarity and continuity within the context of defined scheduling constraints.
The results confirm that a software implementation of our scheduling algorithm is incompatible with online scheduling.
However, we find that soon after implementation of this schedule the prevalence drops to low levels hence not all the scheduled effective treatments can be administered.
We describe the design and implementation of a scheduling system in a glass factory.
This performance gain could be considered in the implementation of QoS scheduling algorithms, which may benefit from incorporating this simple tuning.
We also propose the use of two branch-and-bound-based optimal pruning algorithms for efficient implementation of the scheduling algorithms.
