• DocumentCode
    2062870
  • Title

    Incentive compatible green procurement using scoring rules

  • Author

    Bagchi, Deepak ; Biswas, Santosh ; Narahari, Y. ; Viswanadham, N. ; Suresh, Padmashri ; Subrahmanya, S.V.

  • Author_Institution
    E-Comm Res. Lab., Infosys Ltd., Bangalore, India
  • fYear
    2013
  • fDate
    17-20 Aug. 2013
  • Firstpage
    504
  • Lastpage
    509
  • Abstract
    Green or sustainable procurement is critical to any supply chain in the modern era. In this paper, we address the issue of selection of suppliers in order to ensure that the procurement process in a manufacturing or service supply chain selects suppliers so as to minimize carbon emissions. The specific problem we address pertains to that of an orchestrator or a procurement planner who wishes to put together a green procurement network consisting of strategic suppliers. Our approach decomposes the problem into two stages. In Stage 1 (information elicitation), the orchestrator uses a green budget to offer appropriate incentives to the suppliers to report their carbon emissions accurately. The incentives are determined using an approach based on proper scoring rules. Having obtained emissions data in Stage 1, the orchestrator identifies a pool of suppliers in Stage 2 (green supplier selection) to minimize the quantum of carbon emissions of the procurement process. The paper focuses on Stage 1 of the problem and develops an incentive compatible mechanism for elicitation of emission estimates. We illustrate the proposed mechanism with a stylized example and also with detailed simulation results.
  • Keywords
    environmental factors; incentive schemes; procurement; supply chains; sustainable development; carbon emission quantum minimization; green budget; green supplier selection; incentive compatible green procurement; information elicitation; scoring rules; strategic suppliers; supply chain; sustainable procurement; Air pollution; Carbon dioxide; Green products; Procurement; Standards; Supply chains;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Science and Engineering (CASE), 2013 IEEE International Conference on
  • Conference_Location
    Madison, WI
  • ISSN
    2161-8070
  • Type

    conf

  • DOI
    10.1109/CoASE.2013.6654015
  • Filename
    6654015