Models, Methods and Tools for Product Service Design : : The Manutelligence Project.

• Superior document: SpringerBriefs in Applied Sciences and Technology Series
• Author: Cattaneo, Laura.
• TeilnehmendeR: Terzi, Sergio.
• Place / Publishing House: Cham : : Springer International Publishing AG,, 2018.; ©2019.
• Year of Publication: 2018
• Edition: 1st ed.
• Language: English
• Series: SpringerBriefs in Applied Sciences and Technology Series
• Physical Description: 1 online resource (147 pages)

Table of Contents

Intro -- Preface -- Acknowledgements -- Contents -- 1 Introduction -- 1.1 Product Lifecycle Management -- 1.2 Product Service System -- 1.3 Internet of Things for Smart Manufacturing -- 1.4 Life Cycle Cost (LCC) and Life Cycle Assessment (LCA) -- 1.5 The Manutelligence Project -- 1.5.1 Manutelligence Research Objectives -- 1.5.2 The Manutelligence IT Platform -- References -- 2 Engineering and Business Requirements Definition, Analysis and Validation -- 2.1 Introduction -- 2.2 Challenges -- 2.3 Methodology -- 2.3.1 Four Phase Approach -- 2.3.2 Requirements Elicitation Techniques in Manutelligence -- 2.3.3 Structuration Methods -- 2.3.4 Analysis and Prioritization Method -- 2.3.5 Requirements Validation Method -- 2.4 Results from the Definition of Business and Engineering Requirements -- 2.4.1 Results from Requirements Elicitation -- 2.4.2 Results from Structuration and Organization -- 2.4.3 Results from Prioritization -- 2.5 Validation Results -- 2.6 Conclusion -- References -- 3 Life Cycle Management for Product-Service Systems -- 3.1 Product-Service Systems and the Internet of Things -- 3.2 Life Cycle Thinking, Modelling and Management -- 3.3 Approach to Design IoT-Related PSS -- 3.3.1 Design Methodology -- 3.3.2 IoT Assessment Support -- 3.4 Life Cycle Modelling Support -- 3.4.1 Life Cycle Analysis Support -- 3.5 Challenges for Product-Service Systems Management -- 3.5.1 IoT Assessment -- 3.5.2 Life Cycle Modelling -- References -- 4 A Platform for Product-Service Design and Manufacturing Intelligence -- 4.1 P-S Collaborative Design and Manufacturing Platform -- 4.2 Product Service Solution for Industrial Scenarios -- 4.3 P-S Collaborative Design and Manufacturing Platform Components -- 4.3.1 3DEXPERIENCE -- 4.3.2 I-like -- 4.3.3 MaGA -- 4.3.4 LCPA -- 4.4 P-S Collaborative Design and Manufacturing Platform Integration.

4.5 P-S Process Design and Manufacturing Execution Tools: 3D Modeling (CATIA and Solidworks) -- 4.5.1 Product Structure -- 4.6 3D Modeling -- 4.6.1 Visualization -- 4.6.2 Simulation Modeling (SIMULIA) -- 5 Tools and Procedures to Embed and Retrieve Product-Service Lifecycle Knowledge -- 5.1 Methodologies for Customer Feedback -- 5.1.1 Introduction -- 5.1.2 Customer Feedback Analysis Approach -- 5.1.3 Customer Types -- 5.1.4 Objectives and Benefits -- 5.1.5 Mapping Feedback Scenarios -- 5.1.6 Role of Manutelligence Platform -- 5.2 Tools for Customer Involvement: Manutelligence Web Application User Interfaces -- 5.2.1 Ferrari Use Case User Experience -- 5.2.2 Meyer Use Case: Customer Feedback in Sales and Design -- 5.3 Manufacturing Context Driven Intelligence Layer Development and Integration -- 5.3.1 Introduction -- 5.3.2 Device Abstraction Layer -- 5.3.3 Manufacturing Data Visualization Through Application Dashboard -- 5.3.4 Industrial Scenario: 3D Printing Monitoring -- 6 Life Cycle Assessment and Life Cycle Costing for PSS -- 6.1 Introduction -- 6.2 Life Cycle Assessment (LCA) for Product Service Systems (PSS) -- 6.3 Life Cycle Costing (LCC) for Product Service Systems (PSS) -- 6.4 Definition of Requirements for LCA and LCC Tools -- 6.5 The LCA Tool: MaGA -- 6.6 Testing the MaGA Tool in a FabLAB Environment -- 6.7 The LCC Tool: BAL.LCPA -- 6.8 Testing the BAL.LCPA Tool in a FabLAB Environment -- 6.9 Conclusion -- References -- 7 Use Cases -- 7.1 Ferrari Use Case -- 7.1.1 The Ferrari Company -- 7.1.2 The Ferrari Business Challenges -- 7.1.3 The Ferrari Objectives in Manutelligence Project -- 7.1.4 Use Case-Drive Style Comfort and Accuracy -- 7.2 FabLab-Ateneus of Digital Fabrication (ADF) -- 7.2.1 The FabLab-Introduction -- 7.2.2 Context and Motivations -- 7.2.3 Scenario A: "Supporting the Generation of CAD Design from User's Requirements".

7.2.4 Scenario B: "Knowledge Sharing Within the FabLab/ADF Network" -- 7.2.5 Scenario C: "Developing the Production Cycle" -- 7.2.6 Scenario D: "Cloud-Based Feedback and Multidirectional Information Flow for the Design of Smart Objects" -- 7.2.7 Scenario E: "Sustainability Assessment" -- 7.3 Ship Use Case: Supporting Customer Feedback for Product-Service Design -- 7.3.1 Objectives and Results -- 7.4 Smart House Case-Introduction to Lindbäcks and Their Business Challenges -- 7.4.1 Collecting Information of the Use-Phase to Improve Lindbäcks Houses -- 7.4.2 Use-Phase Information to Create Additional Services -- 7.4.3 Conclusion -- 8 Business Exploitation -- 8.1 Product/Service Life Cycle Management Scenario, Market Trends and Challenges -- 8.2 Business Potential of the Manutelligence Platform -- 8.2.1 Platform Developers -- 8.2.2 Consulting Business -- 8.2.3 Uses Cases -- 8.3 Business Model -- 8.3.1 Customers Segments -- 8.3.2 Value Proposition -- 8.3.3 Customer Relationships and Channels -- 8.3.4 Revenue Models -- 8.3.5 Key Activities and Resources -- 8.3.6 Key Partners -- 8.3.7 Cost Structure -- References.