ERP and Economic Influence on the Development of Business

The use of software in business has become very significant, thanks to this business have access to a progressive technological development, as a result you get great benefits in optimizing processes and information. This research work emphasizes on the ERP and its economic influence in business, an unknown subject for many people. The realization of this research will help understand how it has contributed ERP largely to the development of enterprises, through the creation of systems that are responsible for optimizing most processes within companies to obtain a gradual enterprise-level development. Through documentary research it has been able to gather information from scientific papers, journals, academic papers, among others, which will help to better understand the problem to find a solution. Of enterprises or industries. The result of this research shows that ERP applied in companies have largely improved the process optimization and cost reduction and improved management practices efficiency, therefore a constant business development is produced

Optimization of Processes in a Freight Forwarding Company Using a Simulation Model

This paper discusses the possibilities of optimizing processes in forwarding companies that provide services in international truck transport. The computer simulation model was used to optimize logistics processes in the real distribution company. Software SIMUL8 was chosen as a development environment for its possibility of dynamic discrete simulation of company processes. This model will help us to analyze bottlenecks in company processes and find optimal solutions using simulation experiments. Optimization is focused on the company's warehouse, where a sequence of vehicles loading and unloading operations and emerging downtime are explored

Optimizing the Software Development Process

Práce se zaměřuje na modelování a optimalizaci podnikových procesů. Vybraná skupina procesů se zaměřuje na oblast tvorby software. Pomocí analýzy jsou odhalena problematické místa procesů. Optimalizace procesů je primárně zaměřena na redukci celkového času vykonání procesu a z toho vyplývajících nákladů.The master thesis is focusing on modelling and optimizing of business processes. The selected group of processes is oriented to software development area. As the result of the analysis, problematic issues of processes are revealed. The optimizing of processes is primary focused on reducing total performance time of processes and related costs.

Methods of labor economy increasing in educational organization

The urgency of problem under investigation due to fact that increasing demand of the information technology infrastructure development in current conditions of educational institutions functioning, including formation of the information-educational environment point of view. Offered organizational and economic model of constructing processes for software development is based on agile project management, regarded as an object-oriented tool for optimizing labor economics. The purpose of article is in model for labor economy processes optimization as a part of software development based on agile project management methodology in departments associated with development of information technologies in educational organization. The leading method to the problem study is in measurement of labor economics key indicators, including specific metrics of technical expert’s human capital growth. As an experimental base of research are considered educational organizations, at different times, using classical approach for software development and agile project management. The article presents research results of educational organizations departments engaged in project activities for development of information technologies, which are in the development of software products using classical approach for software development and agile project management. Article submissions may be useful to create a culture for constructing labor economics and human capital system based on sustainable growth in departments of educational institutions working in the field of information technology. © 2016 Dorozhkin et al

An LLVM Instrumentation Plug-in for Score-P

Reducing application runtime, scaling parallel applications to higher numbers of processes/threads, and porting applications to new hardware architectures are tasks necessary in the software development process. Therefore, developers have to investigate and understand application runtime behavior. Tools such as monitoring infrastructures that capture performance relevant data during application execution assist in this task. The measured data forms the basis for identifying bottlenecks and optimizing the code. Monitoring infrastructures need mechanisms to record application activities in order to conduct measurements. Automatic instrumentation of the source code is the preferred method in most application scenarios. We introduce a plug-in for the LLVM infrastructure that enables automatic source code instrumentation at compile-time. In contrast to available instrumentation mechanisms in LLVM/Clang, our plug-in can selectively include/exclude individual application functions. This enables developers to fine-tune the measurement to the required level of detail while avoiding large runtime overheads due to excessive instrumentation.Comment: 8 page

Bidirectional optimization of the melting spinning process

This is the author's accepted manuscript (under the provisional title "Bi-directional optimization of the melting spinning process with an immune-enhanced neural network"). The final published article is available from the link below. Copyright 2014 @ IEEE.A bidirectional optimizing approach for the melting spinning process based on an immune-enhanced neural network is proposed. The proposed bidirectional model can not only reveal the internal nonlinear relationship between the process configuration and the quality indices of the fibers as final product, but also provide a tool for engineers to develop new fiber products with expected quality specifications. A neural network is taken as the basis for the bidirectional model, and an immune component is introduced to enlarge the searching scope of the solution field so that the neural network has a larger possibility to find the appropriate and reasonable solution, and the error of prediction can therefore be eliminated. The proposed intelligent model can also help to determine what kind of process configuration should be made in order to produce satisfactory fiber products. To make the proposed model practical to the manufacturing, a software platform is developed. Simulation results show that the proposed model can eliminate the approximation error raised by the neural network-based optimizing model, which is due to the extension of focusing scope by the artificial immune mechanism. Meanwhile, the proposed model with the corresponding software can conduct optimization in two directions, namely, the process optimization and category development, and the corresponding results outperform those with an ordinary neural network-based intelligent model. It is also proved that the proposed model has the potential to act as a valuable tool from which the engineers and decision makers of the spinning process could benefit.National Nature Science Foundation of China, Ministry of Education of China, the Shanghai Committee of Science and Technology), and the Fundamental Research Funds for the Central Universities