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.