Many of enterprises are buying modern and expensive machine tools. But it is not necessary, that investment like mentioned bring 100% of success, why more of important element are missing. This paper is presenting some of important segments, which have important influence on the efficiently and good use of the machine. Mechanical engineer must in the first stage of planning buying a new machine...

Intrusion detection systems need to maximize security while minimizing costs. In this paper, we study the problem of building cost-sensitive intrusion detection models. We examine the major cost factors: development costs, operational costs, damage costs incurred due to intrusions, and the costs involved in responding to intrusions. We propose cost-sensitive machine learning techniques to produ...

Learning algorithms from the fields of artificial neural networks and machine learning, typically, do not take any costs into account or allow only costs depending on the classes of the examples that are used for learning. As an extension of class dependent costs, we consider costs that are example, i.e. feature and class dependent. We derive a costsensitive perceptron learning rule for nonsepa...

This paper presents an economic production quantity (EPQ) model with a periodic order quantity (POQ) policy, product reliability and periodic demand. The machine reliability has decreased over time; therefore, the rates of perfect and defective products reduce and increase over time, respectively. A fixed percentage of these products are reworked while the rest is wasted. Some equipment in thei...

We discuss an application of machine learning to recidivism prediction. Our initial results motivate the need for a methodology for technique selection for applications that involve unequal but unknown error costs, a skewed data set, or both. Evaluation methodologies traditionally used in machine learning are inadequate for analyzing performance in these situations, although they arise frequent...

Paper describes means and methods for computer-based optimisation of production processes using a new approach based on technological database (TDB) with genetic algorithm incorporated into a database management system (DBMS). The TDB serves as a store of tools and machine tools from which they can be assigned to different work operations. The goal of the model is to find available resources fr...

Scheduling of multiple parallel machines in the face of sequence dependent setups and downstream considerations is a hard problem. No single efficient algorithm is guaranteed to produce optimal results. We describe a solution for an instance of this problem, in the domain of paper manufacturing. The problem has additional job machine restrictions and fixed costs of assigning jobs to machines. W...

Machine to machine (M2M) communication, which is also known as machine type communication (MTC), is one of the most fascinating parts of mobile communication technology and also an important practical application of the Internet of Things. The main objective of this type of communication, is handling massive heterogeneous devices with low network overheads and high security guarantees. Hence, v...

The problem of relevance of sunk costs in managerial decisions concerning a plant is studied. It is shown that under fairly general assumptions about the rationality of the managers the irrelevance of such costs, frequently claimed by economists and accountants, is weakly founded. An application to a specific problem of use of a machine is studied and the optimal use decision problem solved.