Dynamic scheduling of manufacturing systems using machine learning: An updated review
نویسندگان
چکیده
منابع مشابه
Dynamic scheduling of manufacturing systems using machine learning: An updated review
A common way of dynamically scheduling jobs in a manufacturing system is by implementing dispatching rules. The issues with this method are that the performance of these rules depends on the state the system is in at each moment and also that no “ideal” single rule exists for all the possible states that the system may be in. Therefore, it would be interesting to use the most appropriate dispat...
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A common way of dynamically scheduling jobs in a flexible manufacturing system (FMS) is by means of dispatching rules. The problem of this method is that the performance of these rules depends on the state the system is in at each moment, and no single rule exists that is better than the rest in all the possible states that the system may be in. It would therefore be interesting to use the most...
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Dispatching rules are frequently used to schedule jobs in flexible manufacturing systems (FMSs) dynamically. A drawback, however, to using dispatching rules is that their performance is dependent on the state of the system, but no single rule exists that is superior to all the others for all the possible states the system might be in. This drawback would be eliminated if the best rule for each ...
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ژورنال
عنوان ژورنال: Artificial Intelligence for Engineering Design, Analysis and Manufacturing
سال: 2014
ISSN: 0890-0604,1469-1760
DOI: 10.1017/s0890060413000516