Catálogo de publicaciones - libros

This introductive chapter aims to clarify some of the main research contents that are involved in Manutelligence project and wants to present the objectives of the project and the structure of the Manutelligence IT platform. We briefly describe some fundamental concepts, such as the Product Lifecycle Management (PLM), the Product Service System (PSS), the Internet of Things (IoT) for the smart manufacturing, the Life Cycle Cost and the Life Cycle Assessment (LCC and LCA). All these topics are strictly connected, since Manutelligence project aims at supporting enterprises to design and to develop suitable Product-Service Systems, addressing customers’ needs and stakeholders’ requirements, collected also through IoT technologies. Furthermore it aims to integrate best in class methodology and tools from research and industry, resulting in a secure, collaborative Product/Service Design and Manufacturing Engineering Platform, able to manage the Product-Service lifecycle and to collect information in order to implement LCC and LCA.

The objective of Manutelligence platform is to manage manufacturing intelligence; all data, information and knowledge related to the Product Service (PS) and its lifecycle. The platform is based on two existing platforms and some analysis tools (for example LCA and LCC). It was developed according to the needs of four use cases in different industrial fields (automotive, ship, smart house, 3D-printing). The chapter describes the four-phase methodology to define the common aggregated requirements for the platform. The phases include requirement elicitation, structuration and organization, analysis and refinement and validation. In the elicitation phase the requirements were identified from the use cases, in the structuration and refinement phases they were further consolidated, categorized and processed towards aggregated requirements and in the validation phase the resulting aggregated requirements were compared to the original use case requirements. The chapter also shows the main results of each phase.

Product-Service Systems (PSS) and the Internet of Things (IoT) are two related concepts. This chapter describes an approach to manage PSS along its life cycle. It includes a design methodology for PSS and a systems modelling method. The former supports designers in defining PSSs that incorporate monitoring, control, optimization or autonomy. It includes a new method to assess a product’s functionality in terms of the data needed for its realization. The latter adopts life cycle thinking and employs a modelling language to outline the PSS and its various components and actors. A life cycle performance analysis could benefit from the model by extracting cost information from it for further analysis. This chapter highlights challenges related to PSS life cycle management observed during the Manutelligence project. They concern the design methodology and the applied life cycle modelling method.

Manutelligence is designed for the Product-Service business, allowing enterprises to develop innovative Product-Services, more sustainable, addressing customer needs. This platform will enable designers and engineers to access through natural 3DEXPERIENCE to data from both the “traditional” enterprise IT systems (CAD, CAX, PLM, MES, etc.) and IoT enabled systems for physical products information and knowledge management during its whole life cycle phases. The activities carried out by Manutelligence will improve the product and service development by connecting them together through cross disciplinary feedback loops by means of modular collaborative secure ICT manufacturing intelligence. The four software pillars of the Manutelligence platform are the 3DEXPERIENCE, by Dassault Systèmes, I-Like, by Holonix, MaGA, by SUPSI, LCPA, by Balance.

The cross-disciplinary collaborative management environment developed in Manutelligence project for Product-Service (P-S) engineering has the primary objective of managing all data, information and knowledge related to the P-S and its lifecycle in manufacturing. The present chapter presents tools and procedures to embed and retrieve this lifecycle knowledge. As extracting feedback from customers can make the P-S more suitable and attractive to the customers themselves, improving the P-S design and the development of new services, first of all an analysis of the approaches for customer feedback based on the Manutelligence industrial cases (automotive, ship, smart house, 3D-printing) has been performed. The customer feedback is characterized through different viewpoints: customer types, benefits, feedback content and methods for feedback collection, also focusing on how the Manutelligence platform can support the feedback collection. Concerning the use cases, practical examples on some users experience performed using the modules of Manutelligence platform are described. In particular, the application developed for Ferrari data retrieval and the visualization tool of Mayer are introduced as significant modules supporting interaction and feedback between the customer and designer. Taking into account the information coming from different sources (e.g. PLCs, sensorial IoT nodes, etc.) in the context of production system, a methodology to present coherently field data is proposed, with the idea to offer interoperability and integration also from the point of view of the different devices used to collect these data. For this purposed, a specific application—part of i-LiKe suite and comprising a specific dashboard for manufacturing data visualization—has been conceived. In order to explain the related capabilities and functionalities, a simulator related to 3D printing is presented as an extended demonstration of the proposed approach.

The increasing awareness towards sustainability issues from both practitioners and customers makes it necessary to adopt a lifecycle perspective since the design phase of PSSs. In this chapter, a tool aimed at carrying out the Life Cycle Assessment (called MaGA) and one for the Life Cycle Costing (called BAL.LCPA) are introduced starting from the analysis of requirements carried out to make sure their use is suitable in a PSS design context. In order to seamlessly include environmental and economic considerations into the design process, the two stand-alone tools have been integrated with the Manutelligence design platform. Their application in a Fablab-like environment is described to show how they interact with design tools and to provide examples of the results they get.

This chapter describes in details all the different use cases involved in the project. It is focused on how each of them has applied Manutelligence methods and tools in order to improve Product-Service system design and management. A particular focus is dedicated to the usage of the Manutelligence platform.

Business based on Product-Services is growing within the manufacturing sector, where companies are increasingly improving the service component of their offering to gain competitive advantage. Actually, the aggregation of product and service lifecycle engineering tools is able to generate a significant added value and the analysis carried out in the following paragraphs is going to deeply illustrate the business potential of such tools within the manufacturing sector, with particular attention to the use cases of the Manutelligence project. The whole process (the aggregation and the value creation) will be therefore investigated and the starting point will be the analysis of Product Lifecycle Management, the relative technologies and the market associated. From the scenario analysis of the global PLM sector emerged that the aggregation of product and service lifecycle engineering tools is able to generate significant added value highlighting in this way the relevant commercial perspectives of the Manutelligence platform. Finally a business model for the Platform is presented.