Mobility Compass

Discover mobility and transportation research. Find experts, partners, networks.

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The Mobility Compass is an open tool for improving networking and interdisciplinary exchange within mobility and transport research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2015The Extended Gate Problem: Intermodal Hub Location with Multiple Actorscitations
  • 2014Cost, Carbon Emissions and Modal Shift in Intermodal Network Design Decisionscitations
  • 2014Intermodal Hinterland Network Design With Multiple Actorscitations
  • 2013Socially responsible transportation and lot sizing: Insights from multiobjective optimizationcitations

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Chart of shared publication
Fransoo, Jc Jan
4 / 37 shared
Slikker, M.
1 / 1 shared
Ghaffari, A.
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Jemai, Z.
1 / 2 shared
Chart of publication period
2015
2014
2013

Co-Authors (by relevance)

  • Fransoo, Jc Jan
  • Slikker, M.
  • Ghaffari, A.
  • Jemai, Z.
OrganizationsLocationPeople

document

Socially responsible transportation and lot sizing: Insights from multiobjective optimization

  • Fransoo, Jc Jan
  • Bouchery, Y.
  • Ghaffari, A.
  • Jemai, Z.
Abstract

This paper applies multiobjective optimization to show how the efficient tradeoffs between cost and carbon emissions may be obtained in the context of socially responsible operations. We thus formulate a model where transportation mode selection and lot sizing decisions are considered jointly. We derive structural properties of the model and develop several insights that remain hidden under single-objective optimization. First, we show that switching to a socially responsible mode of transportation while continuing to optimize the total logistics costs function may lead to a dominated solution. Second, we prove that the modal shift occurs only under strong carbon emissions reduction requirements. Third, we show that the efficient frontier is non-convex. Two classical ways of taking carbon emissions into account in the decision making process are also compared and the results are illustrated through an example of a French retailer.

Topics
  • optimisation
  • carbon
  • contaminant
  • traffic mode
  • logistics
  • decision making
  • costs
  • mode choice
  • modal shift
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