Abstract-To establish practices and technological environments for using automated production systems in manufacturing of optoelectronic products, with characteristics of high customization of final products, of low volumes, make to order and especially of high manual activity is a challenge crucial for the future of manufacturing in Europe for this manufacturing sector. White'R is an FP7-FoF-EU Project where the main goal is to design and produce a modular-adaptive -self-containedreconfigurable robotic island in a white room for production of two different types of optoelectronic products with features described above: laser diodes and solar cells. In this paper the production planning, scheduling and control issues of white'R for HMLV optoelectronics is discussed and a management integration framework is proposed. The management framework presented in this work aims to sustain any company employing a self-contained automated and re-configurable robotic assembly island to organize and unify the development of its manufacturing capabilities still guaranteeing the alignment with the organizational strategy developed at the highest level of an organization. Two real cases are presented but the framework is applicable to any company in the sector analyzed. This is the first paper with application of a general framework for HMLV products in a white room based, self-contained highly automated assembly environment.

In this work a novel fuzzy multi-objective linear programming (FMOLP) method based on hybrid fuzzy inference systems is proposed for solving the general framework of integration of self-contained assembly unit in a fuzzy environment where the product price, unit cost of not utilization of resources, work force level, production capacity and market demands are fuzzy in nature. The proposed model attempts to minimize total production costs, maximizing the shop floor resources utilization and the profits, considering inventory level, and capacity. Pareto solutions optimization is computed with different techniques and results are presented and discussed with interesting practical implications.

No abstract

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.

Abstract-Additive Manufacturing (AM), often misleadingly referred to as 3D Printing (3DP), comprises of a group of technologies whose initial inception occurred over thirty years ago within the product design and development applications for the rapid prototyping of concepts, primarily using polymeric materials. Over the past few years AM development has increased exponentially and 3D Printing has expanded to include new areas of research such as 4D Printing, Nano AM, Contour Crafting and so on. However, a proper understanding of the technology's actual and potential benefits to industrial manufacturing has not been approached by practitioners and researchers in detail and industrial end-users risk missing the opportunity to make competitive choices due to the lack of an impartial and realistic overview. Real and tangible industrial benefits are often misunderstood due to the dissemination of information delivered with a mindset grown on a maker-side market, which misses to scope for AM in industrial applications. The aim of the paper is presenting a detailed overview of AM applications in the industrial world, focusing on the likely impacts on organizations and, moreover, to highlight and discuss the potential employments of the technology within the industrial value chain.