Termination date scheduling

Cancellable swaps—which can be cancelled by one party prior to the scheduled termination date. For example, the party with the cancellation right may elect to do so if he or she was the fixed-rate payer and... 

Extendible swaps—which can be extended by one party beyond the scheduled termination date. In this case, the party with this ability may choose to extend a 3-year swap to five years if they were the fixed-rate payer, and rates had risen substantially. 

When a pharmacist partially fills a prescription, the pharmacist must note on the prescription the date of the partial filling, the quantity dispensed on that date, the quantity remaining on that particular fill, and the initials or signature of the dispensing pharmacist. Partially filled prescriptions are valid for 60 days from the date of issue. Individual states may have stricter requirements so consult with yovu state agency prior to dispensing Schedule II controlled substances. The prescription is valid for 60 days from the date of issue unless the practitioner terminates the prescription or the patient expires. 

The essential part of machine operator s work is to memorize and consistently putting in a storage container so as not to turn the download does not require adjustment of the upper layers of containers. This task is difficult and involves unreliability. This problem increases the lack of information from one of the main customers of schedule downloads terminal at the time of arrival of containers by rail to unload the cargo units. As a result, the containers are unloaded in free space components (cached), and after being informed of the date of delivery segregated and placed in the correct order. 

The two extra problems, the partly unknown demand and the moving horizon, will be approached in the following way. In our algorithm we do not consider the demand distribution, but we will replace the unknown future demands by their expected value, still assuming that we can not produced expected orders before their arrival date. The second problem is known as the effect of terminal conditions in the rolling schedule. Baker (1981) studies this problem in a special quadratic production-inventory model. In his solution the terminal conditions are based on the profile of states that occurs in a deterministic finite horizon model. Implemented in a situation with uncertain demand, this solution achieves a near-optimal performance. Although we do not have this quadratic production-inventory model, we will also consider terminal conditions. Therefore we assume some simple production mle to be used after the horizon to measure the effect of an action sequence on later periods. 

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