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

Bibliographic Details
Main Author: Cattaneo, Laura.
Other Authors: Terzi, Sergio.
Format: eBook
Language:English
Published: Cham : Springer International Publishing AG, 2018.
Edition:1st ed.
Series:SpringerBriefs in Applied Sciences and Technology Series
Subjects:
Electronic books.
Online Access:Click to View
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.

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