IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-97940-9_58.html
   My bibliography  Save this book chapter

Logistics Processes Optimization with Regard to Sustainability Concerns

In: Handbook of Smart Energy Systems

Author

Listed:
  • Ardavan Babaei

    (Sharif University of Technology)

  • Majid Khedmati

    (Sharif University of Technology)

  • Mohammad Reza Akbari Jokar

    (Sharif University of Technology)

Abstract

Sustainability has been considered, by many researchers, as a major concern for transportation planning in logistics processes. The types of vehicles which transport goods in supply chain from the source to destination affect the sustainability of the transportation system. Accordingly, a two-phase model is proposed in this chapter for optimizing the transportation planning in a three-stage supply chain. In the first phase, the efficiency of different types of vehicles is measured in terms of sustainability based on the extended data envelopment analysis (DEA) model. In the second phase, the output of the first phase is used to develop a model for optimization of the transportation planning, considering the total profit, efficiency of various vehicles, and resilience. In this chapter, the lateral transshipment and direct shipment are embedded in the supply chain structure in order to consider the resilience. In addition, the traffic congestion resulted from shipping the goods to customers is considered in the proposed optimization model. Since the extended DEA and the transportation planning optimization models both are multi-objective models, the goal programming and meta-goal programming approaches are used for solving these models. The application of the proposed models is illustrated by a case study. Finally, a sensitivity analysis is performed on some important parameters.

Suggested Citation

  • Ardavan Babaei & Majid Khedmati & Mohammad Reza Akbari Jokar, 2023. "Logistics Processes Optimization with Regard to Sustainability Concerns," Springer Books, in: Michel Fathi & Enrico Zio & Panos M. Pardalos (ed.), Handbook of Smart Energy Systems, pages 3295-3315, Springer.
  • Handle: RePEc:spr:sprchp:978-3-030-97940-9_58
    DOI: 10.1007/978-3-030-97940-9_58
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:sprchp:978-3-030-97940-9_58. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.