Abstract-Maintenance is a practice in manufacturing that had never been available to remote control and management until the introduction of web-connected portable smart devices. In the last years several studies and applied research have been conducted for achieving this objective in an efficient way and with the aim to enhance the business activity related to. Remote access and role-specific data distribution can become the next level upgrade of maintenance, diagnostic and flow control management using smart sensors, actuators, and smart consumer devices (smartphone, tablet, etc.).In this project, a real case is presented, an Italian company, the end user of the project, tried to achieve this goal creating with the all consortium, a new web-services based server application in order to have remote access to the data stream, which permits to have the machine status available on the web, very strict time responses, a better user profiling and innovative control system based on smart devices monitoring real time machine data and sending notification sounds when needed. The result is a platform connecting, using the Internet of Things (IoT) paradigm, industrial machineries with a smart device android app and with a web application running on a normal browser.

In Industry 4.0 the optimal allocation of a pool of available workers is a very important issue. Solving this problem can improve the performance of the company and the life of workers with positive returns on productivity. Moreover, from a computational perspective, this problem is extremely interesting because it could have a combinatorial explosion and become very hard to solve. In this paper, a mathematical model applied to a real business case is presented. Some preliminary tests and results are discussed

In industrial environment to optimize and to improve maintenance operations could be one of main goals to achieve for enhancing revenues for machinery manufacturers providing after-sales services to their customers. Especially remote maintenance and diagnosis are aspects investigated in literature and in real environments in the last years. In fact, remote access and role-specific data distribution can become the next level upgrade of maintenance, diagnostic and flow control management using smart sensors, actuators and smart consumer devices (smartphone, tablet, etc.). In this paper, a real case study has been proposed: a new web-services based server application in order to have remote access to the data streams and to analyze them in an Italian machinery company manufacturer has been provided. This solution permits to have the machine status available on a web page, very strict time responses, a better user profiling and innovative control system based on line smart devices monitoring machine data and sending notification sounds when needed. The result is a platform connecting, by using the Internet of Things (IoT) paradigm, industrial machineries with a smart device android app and with a web application build with web 2.0 based technologies