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Operations Research for green logistics – An overview of aspects, issues, contributions and challenges

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Author Info

  • Dekker, Rommert
  • Bloemhof, Jacqueline
  • Mallidis, Ioannis

Abstract

The worldwide economic growth of the last century has given rise to a vast consumption of goods while globalization has led to large streams of goods all over the world. The production, transportation, storage and consumption of all these goods, however, have created large environmental problems. Today, global warming, created by large scale emissions of greenhouse gasses, is a top environmental concern. Governments, action groups and companies are asking for measures to counter this threat. Operations Research has a long tradition in improving operations and especially in reducing costs. In this paper, we present a review that highlights the contribution of Operations Research to green logistics, which involves the integration of environmental aspects in logistics. We give a sketch of the present and possible developments, focussing on design, planning and control in a supply chain for transportation, inventory of products and facility decisions. While doing this, we also indicate several areas where environmental aspects could be included in OR models for logistics.

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Bibliographic Info

Article provided by Elsevier in its journal European Journal of Operational Research.

Volume (Year): 219 (2012)
Issue (Month): 3 ()
Pages: 671-679

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Handle: RePEc:eee:ejores:v:219:y:2012:i:3:p:671-679

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Web page: http://www.elsevier.com/locate/eor

Related research

Keywords: Environment; Logistics; Supply chain management; Transportation;

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References

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Citations

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Cited by:
  1. Sazvar, Z. & Mirzapour Al-e-hashem, S.M.J. & Baboli, A. & Akbari Jokar, M.R., 2014. "A bi-objective stochastic programming model for a centralized green supply chain with deteriorating products," International Journal of Production Economics, Elsevier, vol. 150(C), pages 140-154.
  2. Toso, Eli Angela V. & Alem, Douglas, 2014. "Effective location models for sorting recyclables in public management," European Journal of Operational Research, Elsevier, vol. 234(3), pages 839-860.
  3. Soysal, M. & Bloemhof-Ruwaard, J.M. & van der Vorst, J.G.A.J., 2014. "Modelling food logistics networks with emission considerations: The case of an international beef supply chain," International Journal of Production Economics, Elsevier, vol. 152(C), pages 57-70.
  4. Chan, Chi Kin & Lee, Y.C.E. & Campbell, J.F., 2013. "Environmental performance—Impacts of vendor–buyer coordination," International Journal of Production Economics, Elsevier, vol. 145(2), pages 683-695.
  5. Konur, Dinçer, 2014. "Carbon constrained integrated inventory control and truckload transportation with heterogeneous freight trucks," International Journal of Production Economics, Elsevier, vol. 153(C), pages 268-279.
  6. Kannan, Devika & Jabbour, Ana Beatriz Lopes de Sousa & Jabbour, Charbel José Chiappetta, 2014. "Selecting green suppliers based on GSCM practices: Using fuzzy TOPSIS applied to a Brazilian electronics company," European Journal of Operational Research, Elsevier, vol. 233(2), pages 432-447.
  7. Dou, Yijie & Zhu, Qinghua & Sarkis, Joseph, 2014. "Evaluating green supplier development programs with a grey-analytical network process-based methodology," European Journal of Operational Research, Elsevier, vol. 233(2), pages 420-431.
  8. Demir, Emrah & Bektaş, Tolga & Laporte, Gilbert, 2014. "A review of recent research on green road freight transportation," European Journal of Operational Research, Elsevier, vol. 237(3), pages 775-793.
  9. Mirzapour Al-e-hashem, S.M.J. & Baboli, A. & Sazvar, Z., 2013. "A stochastic aggregate production planning model in a green supply chain: Considering flexible lead times, nonlinear purchase and shortage cost functions," European Journal of Operational Research, Elsevier, vol. 230(1), pages 26-41.
  10. Chen, Jen-Ming & Chang, Chia-I, 2013. "Dynamic pricing for new and remanufactured products in a closed-loop supply chain," International Journal of Production Economics, Elsevier, vol. 146(1), pages 153-160.
  11. Ormerod, Richard J. & Ulrich, Werner, 2013. "Operational research and ethics: A literature review," European Journal of Operational Research, Elsevier, vol. 228(2), pages 291-307.
  12. Brandenburg, Marcus & Govindan, Kannan & Sarkis, Joseph & Seuring, Stefan, 2014. "Quantitative models for sustainable supply chain management: Developments and directions," European Journal of Operational Research, Elsevier, vol. 233(2), pages 299-312.
  13. Soysal, Mehmet & Bloemhof-Ruwaard, Jacqueline.M. & Meuwissen, Miranda P.M. & van der Vorst, Jack G.A.J., 2012. "A Review on Quantitative Models for Sustainable Food Logistics Management," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 3(2).
  14. Chen, Lujie & Olhager, Jan & Tang, Ou, 2014. "Manufacturing facility location and sustainability: A literature review and research agenda," International Journal of Production Economics, Elsevier, vol. 149(C), pages 154-163.
  15. van der Plas, C. & Tervonen, T. & Dekker, R., 2012. "Evaluation of scalarization methods and NSGA-II/SPEA2 genetic algorithms for multi-objective optimization of green supply chain design," Econometric Institute Research Papers EI2012-24, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  16. Lukas, Elmar & Welling, Andreas, 2014. "Timing and eco(nomic) efficiency of climate-friendly investments in supply chains," European Journal of Operational Research, Elsevier, vol. 233(2), pages 448-457.
  17. Mohammadi, M. & Torabi, S.A. & Tavakkoli-Moghaddam, R., 2014. "Sustainable hub location under mixed uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 62(C), pages 89-115.

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