• Graduate Programs
  • Research
  • Browse our Courses
  • Events
    • Events Calendar
    • Events Archive
    • Summer School
      • Applied Public Policy Evaluation
      • Deep Learning
      • Development Economics
      • Economics of Blockchain and Digital Currencies
      • Economics of Climate Change
      • The Economics of Crime
      • Foundations of Machine Learning with Applications in Python
      • From Preference to Choice: The Economic Theory of Decision-Making
      • Inequalities in Health and Healthcare
      • Marketing Research with Purpose
      • Markets with Frictions
      • Modern Toolbox for Spatial and Functional Data
      • Sustainable Finance
      • Tuition Fees and Payment
      • Business Data Science Summer School Program
    • Tinbergen Institute Lectures
    • 2026 Tinbergen Institute Opening Conference
    • Annual Tinbergen Institute Conference
  • News
  • Summer School
    • Applied Public Policy Evaluation
    • Deep Learning
    • Development Economics
    • Economics of Blockchain and Digital Currencies
    • Economics of Climate Change
    • The Economics of Crime
    • Foundations of Machine Learning with Applications in Python
    • From Preference to Choice: The Economic Theory of Decision-Making
    • Inequalities in Health and Healthcare
    • Marketing Research with Purpose
    • Markets with Frictions
    • Modern Toolbox for Spatial and Functional Data
    • Sustainable Finance
    • Tuition Fees and Payment
  • Alumni

Mallidis, I., Dekker, R. and Vlachos, D. (2012). The Impact of Greening on Supply Chain Design and Cost: A Case for a Developing Region Journal of Transport Geography, 22(1):118--128.


  • Journal
    Journal of Transport Geography

The consideration of environmental issues has emerged as a topic of critical importance for today's globalized supply chains. The purpose of this paper is to develop a strategic-tactical decision support model to assist managers in evaluating the impact of environmental issues, related to transportation emissions, on the transport geography of a region. Specifically we provide a model that addresses: (i) supply chain network design, including port of entry and transportation mode, and (ii) decisions on using dedicated versus shared warehouses and transportation. The applicability of the proposed methodology is examined through the development of a sustainable supply chain network in the South-Eastern Europe region. The results indicate that in most cases using shared warehouses from Third Party Logistics operators improves both the cost and the environmental performance of a company. In all cases shared use of transportation operations minimizes the amount of CO2and PM emissions generated, while dedicated use minimizes costs.