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Designing and Evaluating Sustainable Logistics Networks

Author

Listed:
  • Quariguasi Frota Neto, J.
  • Bloemhof-Ruwaard, J.M.
  • van Nunen, J.A.E.E.
  • van Heck, H.W.G.M.

Abstract

The objective in this paper is to shed light into the design of logistic networks balancing profit and the environment. More specifically we intend to i) determine the main factors influencing environmental performance and costs in logistic networks ii) present a comprehensive framework and mathematical formulation, based on multiobjective programming, integrating all relevant variables in order to explore efficient logistic network configurations iii) present the expected computational results of such formulation and iv) introduce a technique to evaluate the efficiency of existing logistic networks.The European Pulp and Paper Industry will be used to illustrate our findings.

Suggested Citation

  • Quariguasi Frota Neto, J. & Bloemhof-Ruwaard, J.M. & van Nunen, J.A.E.E. & van Heck, H.W.G.M., 2006. "Designing and Evaluating Sustainable Logistics Networks," ERIM Report Series Research in Management ERS-2006-003-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    • Handle: RePEc:ems:eureri:7320
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    1. Moritz Fleischmann & Jo A. E. E. van Nunen & Ben Gräve, 2003. "Integrating Closed-Loop Supply Chains and Spare-Parts Management at IBM," Interfaces, INFORMS, vol. 33(6), pages 44-56, December.
    2. Steuer, Ralph E. & Piercy, Craig A., 2005. "A regression study of the number of efficient extreme points in multiple objective linear programming," European Journal of Operational Research, Elsevier, vol. 162(2), pages 484-496, April.
    3. Ayres, Robert & Ferrer, Geraldo & Van Leynseele, Tania, 1997. "Eco-efficiency, asset recovery and remanufacturing," European Management Journal, Elsevier, vol. 15(5), pages 557-574, October.
    4. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    5. Amouzegar, Mahyar A. & Moshirvaziri, Khosrow, 1999. "Determining optimal pollution control policies: An application of bilevel programming," European Journal of Operational Research, Elsevier, vol. 119(1), pages 100-120, November.
    6. William Cooper & Kyung Park & Jesus Pastor, 1999. "RAM: A Range Adjusted Measure of Inefficiency for Use with Additive Models, and Relations to Other Models and Measures in DEA," Journal of Productivity Analysis, Springer, vol. 11(1), pages 5-42, February.
    7. Pekka Korhonen & Sari Stenfors & Mikko Syrjänen, 2003. "Multiple Objective Approach as an Alternative to Radial Projection in DEA," Journal of Productivity Analysis, Springer, vol. 20(3), pages 305-321, November.
    8. Merja Halme & Tarja Joro & Pekka Korhonen & Seppo Salo & Jyrki Wallenius, 1999. "A Value Efficiency Approach to Incorporating Preference Information in Data Envelopment Analysis," Management Science, INFORMS, vol. 45(1), pages 103-115, January.
    9. Paul Weaver & H. Gabel & Jacqueline Bloemhof-Ruwaard & Luk Wassenhove, 1997. "Optimizing environmental product life cycles," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 9(2), pages 199-224, March.
    10. Thanassoulis, E. & Dyson, R. G., 1992. "Estimating preferred target input-output levels using data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 56(1), pages 80-97, January.
    11. Sheu, Jiuh-Biing & Chou, Yi-Hwa & Hu, Chun-Chia, 2005. "An integrated logistics operational model for green-supply chain management," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 41(4), pages 287-313, July.
    12. M P Estellita Lins & L Angulo-Meza & A C Moreira Da Silva, 2004. "A multi-objective approach to determine alternative targets in data envelopment analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(10), pages 1090-1101, October.
    13. J Quariguasi Frota Neto & L Angulo-Meza, 2007. "Alternative targets for data envelopment analysis through multi-objective linear programming: Rio de Janeiro Odontological Public Health System Case Study," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(7), pages 865-873, July.
    14. Bloemhof-Ruwaard, J. M. & Van Wassenhove, L. N. & Gabel, H. L. & Weaver, P. M., 1996. "An environmental life cycle optimization model for the European pulp and paper industry," Omega, Elsevier, vol. 24(6), pages 615-629, December.
    15. Jones, D. F. & Mirrazavi, S. K. & Tamiz, M., 2002. "Multi-objective meta-heuristics: An overview of the current state-of-the-art," European Journal of Operational Research, Elsevier, vol. 137(1), pages 1-9, February.
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    More about this item

    Keywords

    Data Envelopment Analysis (DEA); Eco-efficiency; Multi-Objective Programming (MOP); Supply Chain Design; Sustainable Supply Chain;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • L79 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - Other
    • M - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics
    • M14 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Corporate Culture; Diversity; Social Responsibility
    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics

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