Title and Acronym: Integrated Resource Optimisation in Manufacturing Value Chains (IROVALUE)
Call: FoF-03-2014
List of participants
Participant No | Participant organisation name | Country | Expertise in the project |
1 | The University of Manchester | UK | Energy and process integration, coordination |
2 | ETH Zurich | CH | Waste management |
3 | Haribo | DK | Industrial company |
4 | Faxe Municipality | DK | Municipality with industrial symbiosis on its territory |
5 | DTU Management | DK | LCA, LCC |
6 | CVR | PT | Waste management, network of waste-related companies |
7 | University of Minho | PT | Energy certification |
8 | Oldham Council | UK | Local authority |
9 | Mono Pumps Ltd | UK | Manufacturer |
10 | Pannonia University | HU | Supply chain management |
11 | Aristotle University | GR | Optimisation of supply chains |
12 | Koc University | TR | Supply chain optimisation |
13 | Ford Otosan | TR | Manufacturer |
14 | Rutgers – The State University of New Jersey | US | Supply chain management |
General objective: To develop novel and advanced business models and decision support tools to facilitate increased competitiveness and improved environmental performance of EU manufacturing enterprises through more intensive integration of value chains and industrial symbiosis.
Specific objectives and corresponding workpackage tasks:
Objective 1: To model energy and resource consumption along value chains
Task 1.1 Development of models
Task 1.2 Implementation of models into software
Task 1.3 Application of models to pilot study
Objective 2: To develop novel business models, considering life cycle costs and accounting for consumption of energy and other resources
Task 2.1 Extending and enhancing available business models
Task 2.2 Incorporating commercial issues into models
Task 2.3 Implementing and testing business models
Objective 3: To develop advanced new business models for energy and resource management in the context of industrial symbiosis
Task 3.1 Extending the new business models for integrated value chains
Task 3.2 Incorporating cross-business commercial issues into models
Task 3.3 Screening and evaluating opportunities for industrial symbiosis
Objective 4: To incorporate novel business models to develop extended decision support tools
Task 4.1 Developing advanced decision support tools for manufacturing units
Task 4.2 Extending decision support tools for integrated value chains
Task 4.3 Implementing and testing advanced decision support tools
Objective 5: To collect data on energy and resource consumption for value chains.
Task 5.1 Confirmation of data collection approach
Task 5.2 Definition of data structures and implementation into database tool
Task 5.3 Data collection from case study partners
Objective 6: To develop a detailed analysis of case studies through the application of the new models and tools
Task 6.1 Define process to be applied in analysis of case studies
Task 6.2 Execute case studies
Task 6.3 Review case study results
Task 6.4 Review process for analysing case studies
Objective 7: To develop a roadmap for life cycle analysis and energy characterisation of enterprises towards energy certification
Objective 8: To disseminate project results, to protect IP developed in the project and to develop a plan to ensure exploitation of the results post-project
Figure 1 Overview of objectives and corresponding workpackages