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Applied Computer Science Volume 8, Number 2, 2012

IMPROVING MANUFACTURING PROCESSES USING SIMULATION METHODS

The paper presents the results of simulation research on buffer space allocated in a flow line and operation times influence on the throughput of a manufacturing system. The production line in the study consists of four stages and is based on a real machining manufacturing system of a small production enterprise. Using Tecnomatix Plant Simulation software, a simulation model of the system was created and set of experiments was planned. Simulation experiments were prepared for different capacities of intermediate buffers located between manufacturing resources and operation times as input parameters, and the throughput per hour and average life span of products as the output.

INDEXES SELECTION FOR BLOCKS OF RELATED SQL QUERIES

This paper discusses the problem of minimizing the response time for a given database workload by a proper choice of indexes. The main objective of our contribution is to illustrate the database queries as a group and search for good indexes for the group instead of an individual query. We present queries block relation conditions for applying the concept of grouped queries index selection. In three experimental tests we provide measurements on the quality of the recommended approach.

ANALISYS OF VARIABILITY OF THE FAMILY OF PACKAGES AND THE VERSATILE PACKAGING MACHINE DESIGN

The article provides design and engineering analysis of groups of packages. The relationship between the functional units of packaging machines and related groups designs packages is traced. The method for calculation of the versatility rate of the packaging machine depending on its structure is offered.

LOCAL CRM APPLICATION FOR BILLBOARD ADVERTISING COMPANY

The article presents development process of dedicated application that supports Customer Relationship Management. The software receiver is a small advertising company, whose main service is renting billboards. Implementation of CRM system inclines to further expansion of the application Transfer of implemented system into area of Cloud Computing is considered.

A GALERKIN APPROXIMATION METHOD INCLUDING SPACE DIMENSIONAL REDUCTION - APPLIED FOR SOLUTION

A multivariate data fitting procedure, based on the Galerkin minimization method, is studied in this paper. The main idea of the developed approach consists in projecting the set of data points from the original, higherdimensional space, onto a line section. Then, the approximation problem is solved in the resulting one-dimensional space. The elaborated recipe can be designed so that it is computationally more efficient than the schemes based on the least squares minimization. The performance of the method is studied by comparison with the least squares and the moving least squares procedures in a number of examples, including the solution of the heat diffusion equation.

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