Pattern-based machine translation is a very traditional machine translation method that uses translation patterns and translation word (phrase) dictionaries. The characteristic of this translation method is that high-quality translation results can be obtained if the input sentence matches the translation pattern and this translation pattern is correct. However, translation patterns and transla...

Testing complex manufacturing systems, like the ASML TWINSCAN [2] lithographic machine, takes a lot of time and costs. Within the Tangram project, methods are investigated to reduce this test costs. In this article, we describe a method which is used to optimize a test sequence such that it takes the least amount of costs, or time. With several cases we demonstrate that this method can be used ...

For the investment decision for new production equipment it becomes more and more common to guarantee the total amount of life-cycle-costs (LCC). In the research project "LoeWe", funded by the German Federal Ministry of Education and Research (BMBF), methods are developed to minimize life cycle costs in the development, operation and recycling phase. Exemplarily the development of an innovative...

This paper focuses on a stochastic scheduling problem in which n immediately available jobs are to be scheduled jointly with the preventive maintenance in a single machine subject to breakdowns. The objective is to minimize expected total earliness and tardiness costs with a common due-date. The problem of scheduling only n jobs to minimize total earliness and tardiness costs in a single machin...

successful application of a tbm in a project requires investigating both the ground conditions and the machine and backup system design features. prediction of the machine performance is very important as it has a big effect on the duration of the project and the costs. in this respect, both penetration rate and advance rate must be estimated. utilization factor, which depends on the type of op...

In the usual setting of Machine Learning, classifiers are typically evaluated by estimating their error rate (or equivalently, the classification accuracy) on the test data. However, this makes sense only if all errors have equal (uniform) costs. When the costs of errors differ between each other, the classifiers should be evaluated by comparing the total costs of the errors. Classifiers are ty...

We consider processing and shipment scheduling of a batch of size M jobs on a flexible (multifunctional) machine. All jobs in the batch require the same sequence of N operations on the machine. Costs are incurred in the forms of holding costs of jobs waiting for the next operation, setup costs whenever the machine is set up for a new operation, and shipment cost whenever the whole batch or a pa...

this paper deals with the single machine multi-product lot scheduling problem in which defective items are produced in any production run of each product. we have adopted the common cycle scheduling policy and assumed that the setup times for production of each product can be non-zero. further, we have assumed that defective items will be reworked and the inspection costs during the normal prod...