Information and communication technology in logistic processes of the companies

Treball Final de Grau en Administració d'Empreses. Codi: AE1049. Curs: 2015/2016The aim of this work is to study how the new information and communication technology (ICT) influence in logistics processes of companies and to know the effects they produce on them. It is of great importance in the degree of Business Administration to know the technological development that is taking place in today's society, so that from the business world we know how to adopt those best suited technologies to our business and manage to get improvements and benefits, achieving profitability and competitiveness in the market we work. Thus, we have focused on the logistics companies’ process, since it is an important phase in the management of the company that serves as a link between production and the market, and is responsible for placing products in the right place, at the right time and under the conditions desired by the customer. The customer is always the last agent of the supply chain, but the most important one, so the logistics activity is also important within companies, this importance is given by the need to improve customer service, attention and satisfaction. And even nowadays, the customer demands for faster product use, so that the availability of products is an increasingly important differentiating characteristic. This requires that supply chains are increasingly efficient, fast and the fact that they adapt to the product or service the company sells

A software service supporting software quality forecasting

Software repositories such as source control, defect tracking systems and project management tools, are used to support the progress of software projects. The exploitation of such data with techniques like forecasting is becoming an increasing need in several domains to support decision-making processes. However, although there exist several statistical tools and languages supporting forecasting, there is a lack of friendly approaches that enable practitioners to exploit the advantages of creating and using such models in their dashboard tools. Therefore, we have developed a modular and flexible forecasting service allowing the interconnection with different kinds of databases/data repositories for creating and exploiting forecasting models based on methods like ARIMA or ETS. The service is open source software, has been developed in Java and R and exposes its functionalities through a REST API. Architecture details are provided, along with functionalities’ description and an example of its use for software quality forecasting.Peer ReviewedPostprint (author's final draft