Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
Accounting has a very important role in determining the measures taken by the management of company. Accounting transactions ontology construction is an interactive process that requires the collaboration of both ICT and accountant experts. Building accounting transaction ontology can be used as a basis for making knowledge in accounting domain that will be used in accounting intelligent system. This...
The extent of collaboration among the companies in a manufacturing network impacts the parametric fluctuations in the network. This is displayed explicitly by the form of the network's normal modes. By gradually increasing the number of companies that actively collaborate, it is possible to see how the form of the normal modes changes. Initial understanding of this normal mode's resonant damping was...
Large blackouts are economically costly and socially disruptive, but in some cases can also be beneficial to investors in publicly-traded utilities. Large blackouts, particularly those that damage capital equipment, can increase future cash flows of utilities if replacement capital expenditures are permitted to be included in the rate base. The semi-strong version of stock-market efficiency suggests...
As a common software engineering practice, software dynamic defect models are used to estimate and predict the software testing process progress, effectiveness, and the number of future defects over the next weeks. Practitioners use these dynamic defect models to ensure that the delivery of software to customers is possible from the quality point of view and to predict the release date. Old literature...
The Barabási-Albert-model is commonly used to generate scale-free graphs, like social networks. To generate dynamics in these networks, methods for altering such graphs are needed. Growing and shrinking is done simply by doing further generation iterations or undo them. In our paper we present four methods to merge two graphs based on the Barabási-Albert-model, and five strategies to reverse them...
Successful countries provide economy and society with infrastructure needed to maintain growth. Over the last decade, the Government of Vietnam has maintained high level of infrastructure investment. However, the electricity shortage, the natural disasters and the emission of greenhouse gasses still have been challenges that Vietnam has to confront to sustain high economic growth in the long term...
In sintering process, the operator determined the sinter pallet's speed based on the location of BTP. Therefore, it is important to estimate the BTP so that the reliability is high. Quadratic curve was inferred by the curve fitting about wind box with the highest temperature and the sides of the wind box in previous studies. This allows, BTP was estimated. However, this is a disadvantage the correlation...
Customer Classification has important role in Customer Relationship Management (CRM) and has been applied in many industries, such as retail and manufacturing. However, there is no single model purposely created only for telecommunication wholesale segment, especially IP Transit. This research develops a model for customer classification with consideration of all aspects of customer - company relationship...
Regression analysis is one of the techniques of data mining and is used to generate futuristic model for a given problem. One of the major challenge in the study of Regression analysis is to reduce the Outlier values. But the inherent complex and flexible nature of web data makes it difficult for various regression algorithms to propose an ideal futuristic model. This paper discusses a method that...
Companies have employed for years 1st generation Functional Size Measurement (FSM) methods, e.g., IF PUG Function Points Analysis (FPA), collecting IF PUG-based historical data useful for benchmarking and estimation purposes. With the advent of 2nd generation FSM methods (e.g., COSMIC) the need for resizing past projects utilizing these new measures arises. The adoption of 2nd generation FSM methods...
This paper evaluated the distribution center's performance of X Company (later on is referred as X Co.). As one of the major companies that have activities in the field of product distribution and sales of Fast Moving Consumer Goods (FMCG), X Co. required in order to meet customer needs and demands. The phenomenon of over-stock and out of stock occurring in DC make identifying the root cause must...
In the field of marketing, a questionnaire is one of the most important approaches in order to research the market or to design a marketing strategy. On the other hand, people have a variety of individuality recently, then respondents have various impressions on evaluation objects. In the analysis of collected questionnaire data, it is important not only to analyze overall trends but also to discover...
With the development of the Internet, online shopping has become a symbol of the times. The delivery, as the most critical part is also developed rapidly. The study of the relationship between online shops, express delivery and customer satisfaction has become a hot topic. This article analyzed the impact of online shops and express service quality from the perspective of customer satisfaction, taking...
We study the relationship between Directed Information Graphs (DIG) and Linear Dynamical Graphs (LDG), both of which are graphical models where nodes represent scalar random processes. DIGs are based on directed information and represent the causal dynamics between processes in a stochastic system. LDGs capture causal dynamics but only in linear dynamical systems and there are Wiener filtering to...
Today it is necessary for every country to promote the sustainability of its supply chains. In the same context, this paper uses the Ecological Footprint tool into developing an evaluating process to estimate and improve the environmental performance of Tunisian supply chains. Several Ecological Footprint studies until today were focused on a national scale. However, this one examines the retailer's...
In recent decades, companies across the world have implemented enterprise recourse planning (ERP) systems. Proper ERP implementation has been a more explored issue. Specifically, numerous papers have presented the critical success factors in these projects. But even when the implementation finished satisfactorily, success in ERP adoption is not guaranteed. It also depends on the effectiveness process...
Supplier selection is a challenging decision that has strategic importance for organizations. Cost is no longer the sole factor in the selection of suppliers, and the complexity of this issue arises from the interplay of several situation-specific criteria (such as total cost, CO2e emissions, development time, lead time) as well as the combinatorial nature of this problem. This paper proposes an approach...
This paper presents a fuzzy based approach for 3PL (Third Party Logistics) selection. A multi criteria decision making (MCDM) is used for 3PL evaluation. The MCDM proposal for 3PL evaluation incorporates the decisions of multiple decision makers belonging to the Performance Evaluation Team (PET) constituted by a buyer company. The selection is based on overall score obtained by the 3PL. The fuzzy...
Today's Supply Chains (SCs) are global and getting more complex, due to the exigencies of the world economy, making them hard to manage. This is exacerbated by the increasingly frequent occurrence of natural disasters and other high impact disruptions. To stay competitive, companies are therefore seeking ways to better understand the impact of such disruptions to their SCs. In addressing this need,...
This study addresses the problem of inferring users' employment affiliation information from social activities. It is motivated by the applications which need to monitoring and analyzing the social activities of the employees from a given company, especially their social tracks related to the work and business. It definitely helps to better understand their needs and opinions towards certain business...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.