IDEAS home Printed from https://ideas.repec.org/p/ems/eureir/38623.html
   My bibliography  Save this paper

Tactical/Operational Decision Making for Designing Green Logistics Networks

Author

Listed:
  • Mallidis, I.
  • Dekker, R.
  • Vlachos, D.

Abstract

Cap and trade regulations along with an increasing consumer and company demand for green products and services constitute two major drivers for motivating corporations to adopt green practices. However, the adoption of such practices usually increases their operational costs. Therefore, the trade-off between “green” and cost-optimal policies is a common challenge for most organizations, at least in developed countries. The purpose of this paper is to assess alternative logistic network design options (applicable in most supply chains) taking into account both their cost and CO2 emissions performance. The applicability of the proposed methodology is illustrated through the design of a major white good retailer’s logistics network in the region of Greece. The results indicate that a company optimizes its cost performance by serving all its retail stores directly by truck through one central distribution center. On the other hand, a CO2 emissions optimal performance includes additional distribution centers and the employment of rail instead of truck transportation. Moreover, longer review periods, despite the higher holding and backorder costs, result in lower transportation costs and CO2 emissions.

Suggested Citation

  • Mallidis, I. & Dekker, R. & Vlachos, D., 2013. "Tactical/Operational Decision Making for Designing Green Logistics Networks," Econometric Institute Research Papers EI 2013-01, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  • Handle: RePEc:ems:eureir:38623
    as

    Download full text from publisher

    File URL: https://repub.eur.nl/pub/38623/EJORFINAL.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    CO2 emissions; environment; periodic review inventory control system;
    All these keywords.

    JEL classification:

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ems:eureir:38623. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: RePub (email available below). General contact details of provider: https://edirc.repec.org/data/feeurnl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.