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Less transportation with AM.

Business criteria for selection of 3d-printed components (SPARSAM)

In order to identify which components are suitable for additive manufacturing (AM), both technical and business selection criteria needs to be used. The purpose of this project is to investigate the possibility of expanding the technical selection criteria with business values ​​such as reduced inventory costs, transport and environmental impact.

Scenarios for Supply chains
Photo: Markus Eriksson

Additive manufacturing (AM), or 3D-printing, has been around for decades without impact on the supply chains. But the maturity of AM is today driving the development from being a tool for visualization and prototyping to industrial large-scale manufacturing of products and components. This development means that production can be moved closer to the customer, which makes it possible to transform the supply chains.

The transformation of the supply chains can be described in different scenarios. In this project, the values are evaluated based on the following scenarios:

  • Scenario 1. Current situation: centralized mass production and global supply chain.
  • Scenario 2. Factory: AM is introduced centrally in a factory, which enables e.g. demand-driven production.
  • Scenario 3. Distribution center: production is distributed to a distribution center, which for example results in reduced long-distance transport and reduced inventory costs.
  • Scenario 4. Retailers: the production is distributed to retailers, which enables, for example, shortened lead times and need-based production.

In order to identify which products are suitable for additive manufacturing, both technical and business selection criteria need to be used. Today, the technical selection criteria dominates, such as complexity in form, need for low weight and potential for consolidation. Sustainability and business criteria such as reduced inventory, increased availability, fewer transports, improved resilience or lead time are often omitted because they are considered difficult to quantify or our of scope.

Project objectives

The project Sustainability Parameters for Parts Analyses and Selection for AM, SPARSAM, will contribute to the impact goals of the call within Production2030 by developing knowledge, calculate and demonstrate the value of circularity and additive manufacturing in three supply chain scenarios. Driven by the cases, a model will be developed, refined, and used to calculate the values of AM for circular production. In step 2 the consortia will identify cases where AM enables a demand driven circular production which can be moved closer to the customer e.g at a distribution center, a regional hub, a dealer/workshop or as a factory-in-a-box concept.

Project implementation

The activity consists of the following 4 work packages:

  1. Establishment of collaboration and team
    Deliverable: High performing project team.
     
  2. Current situation and knowledge
    Deliverable: Description of current state related to scenario 1-3.
     
  3. Feasibility of supply chain model and selection parameters
    Deliverable: Feasibility of selection criteria’s and genus implications.
     
  4. Identification of step 2-initiatives and dissemination
    Deliverable: Identification of research and innovation project relating to goals of the call. Dissemination via for example Application Center for Additive Manufacturing and Production2030.

Summary

Project name

SPARSAM

Status

Active

RISE role in project

Coordination and project management

Project start

Duration

22-10-17 to 23-04-14

Total budget

800 000 SEK

Partner

Volvo Cars, Volvo Trucks, Alfa Laval, Chalmers Tekniska Högskola

Funders

Vinnova, About Production2030 and call #16 Climate-smart production in the Swedish manufacturing industry

Coordinators

Project members

Learn more about Just-In-Demand and 3D-printning

Supports the UN sustainability goals

5. Gender equality
9. Industry, innovation and infrastructure
12. Responsible consumption and production
Markus Eriksson

Contact person

Markus Eriksson

Forskare

Read more about Markus

Contact Markus
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