Short answer

Prioritize supplier locations that minimize the combined impact of transportation distances and the carbon intensity of the local electricity grid.

Field
Sustainability
Source
eScholarship (California Digital Library) (2010)
Method
Hybrid Life-Cycle Assessment and Environmental ROI Metrics
Evidence
Strong effect

Optimizing supplier locations based on regional electricity generation and transportation networks can significantly reduce a manufacturing supply chain's greenhouse gas emissions. This sustainability research insight is drawn from a 2010 study published in eScholarship (California Digital Library). Using Hybrid life-cycle assessment and environmental roi metrics, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Prioritize supplier locations that minimize the combined impact of transportation distances and the carbon intensity of the local electricity grid.

Study
SustainabilityHigh ImpactStrong effect

Strategic Supplier Location Can Cut Supply Chain GHG Emissions by 50%

Optimizing supplier locations based on regional electricity generation and transportation networks can significantly reduce a manufacturing supply chain's greenhouse gas emissions.

eScholarship (California Digital Library) · 2010

01

Key Findings

  • 0130-40% of supply chain GHG emissions in manufacturing are attributable to electricity consumption and transportation.
  • 02Strategic changes in supplier location can reduce these emissions by up to 50% by leveraging regional variability in energy sources and transportation networks.
02

Application

Design takeaway

Prioritize supplier locations that minimize the combined impact of transportation distances and the carbon intensity of the local electricity grid.

How to apply

When selecting new suppliers or redesigning existing supply chains, conduct an analysis of the carbon footprint associated with transportation to and from potential supplier sites, as well as the carbon intensity of the electricity grid in those regions.

Project actions

  • 01When choosing materials, consider not just the material itself but also where it comes from and how it will be transported.
  • 02Use mapping tools to visualize your supply chain and identify potential areas for emission reduction.
03

Method & Evidence

AimHow can strategic supplier location decisions, leveraging regional differences in energy sources and transportation, be used to minimize greenhouse gas emissions within a manufacturing supply chain?
MethodHybrid Life-Cycle Assessment and Environmental ROI Metrics
ProcedureThe study developed targeted environmental return-on-investment (ROI) metrics and employed hybrid life-cycle assessment techniques. This approach was applied to case studies, including automotive manufacturing and solar photovoltaic panel production, to analyze the trade-offs between transportation emissions and electricity emissions based on supplier location.
ContextManufacturing supply chain design, focusing on greenhouse gas emission reduction.

Variables

IV["Supplier location (region)","Energy source mix of the region","Transportation network efficiency of the region"]
DV["Greenhouse gas emissions from electricity consumption","Greenhouse gas emissions from transportation"]
CV["Type of manufacturing process","Volume of production","Specific components being sourced"]
04

Strengths & Limitations

Strengths

  • +Addresses a critical aspect of sustainability often overlooked in product design: the supply chain.
  • +Provides quantifiable data on potential emission reductions through strategic location choices.

Limitations

The availability and accuracy of regional electricity grid data and transportation emission factors can vary, potentially affecting the precision of calculations.

Reliability & validity

The reliability of the findings depends on the accuracy and comprehensiveness of the life-cycle assessment data used for different regions and the consistency of the hybrid LCA methodology. Validity is supported by the application to real-world case studies.

Think critically

To what extent can a company truly optimize its entire supply chain for GHG reduction, given the complexities of global logistics, supplier relationships, and varying regional regulations?

05

Design Principles

"Geographic Optimization for Emission Reduction: Design supply chains to leverage regional environmental advantages to minimize overall greenhouse gas emissions."

This research highlights that environmental impact is not solely determined by internal manufacturing processes but is heavily influenced by the broader supply chain. By strategically considering the geographical footprint of suppliers, designers and engineers can make informed decisions that lead to substantial reductions in greenhouse gas emissions, contributing to corporate sustainability goals and mitigating climate change.

06

What This Means for Your Design

Picking where your suppliers are located can make a big difference in how much pollution your product's supply chain creates. Choosing suppliers in areas with cleaner electricity and shorter shipping routes can cut pollution by a lot.

How to use in your project

  • 1.Reference this study when discussing the environmental impact of your chosen materials and manufacturing processes, particularly if your design involves a complex supply chain.
  • 2.Use the findings to justify decisions about supplier selection or manufacturing location in your design proposal.
07

Add to My Project

08

Quick Cite

Paragraph starter

The strategic placement of suppliers within a manufacturing supply chain can significantly influence overall greenhouse gas emissions. Research by Reich-Weiser (2010) indicates that by leveraging regional differences in electricity generation and transportation networks, manufacturers can achieve up to a 50% reduction in supply chain GHG emissions, which typically account for 30-40% of total emissions. This underscores the importance of considering the geographic footprint of sourcing and logistics when designing for sustainability.

09

Source

eScholarship (California Digital Library)

Decision-Making to Reduce Manufacturing Greenhouse Gas Emissions

journal · 2010

View source

Questions About This Research

What does the research say about strategic supplier location can cut supply chain ghg emissions by 50%?
Prioritize supplier locations that minimize the combined impact of transportation distances and the carbon intensity of the local electricity grid. Evidence: eScholarship (California Digital Library) (2010).
Why does "Strategic Supplier Location Can Cut Supply Chain GHG Emissions by 50%" matter for design?
This research highlights that environmental impact is not solely determined by internal manufacturing processes but is heavily influenced by the broader supply chain. By strategically considering the geographical footprint of suppliers, designers and engineers can make informed decisions that lead to substantial reductions in greenhouse gas emissions, contributing to corporate sustainability goals and mitigating climate change.
How can designers apply this research?
Prioritize supplier locations that minimize the combined impact of transportation distances and the carbon intensity of the local electricity grid.
What were the main findings?
30-40% of supply chain GHG emissions in manufacturing are attributable to electricity consumption and transportation.. Strategic changes in supplier location can reduce these emissions by up to 50% by leveraging regional variability in energy sources and transportation networks.
What research method was used?
Hybrid Life-Cycle Assessment and Environmental ROI Metrics.
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2010 journal from eScholarship (California Digital Library).
What should I do differently in my next project?
When selecting new suppliers or redesigning existing supply chains, conduct an analysis of the carbon footprint associated with transportation to and from potential supplier sites, as well as the carbon intensity of the electricity grid in those regions.
What are the limitations?
The study's findings are based on generic case studies and may not fully account for all specific industry complexities or rapidly changing energy landscapes.