• DocumentCode
    2245729
  • Title

    Improvement of product sustainability

  • Author

    Gao, Meimei ; Zhou, MengChu ; Wang, Fei-Yue

  • Author_Institution
    Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
  • Volume
    3
  • fYear
    2003
  • fDate
    14-19 Sept. 2003
  • Firstpage
    3548
  • Abstract
    Increasing global population and consumption are causing declining natural and social systems. Sustainable development addresses these issues by integrating strategies for economic successes, environmental quality, and social equity. A Sustainability Target Method (STM) provides a practical sustainability target for individual businesses and products through determining the relative indicator resource productivity for environmental performance and the absolute indicator Eco-Efficiency. Based on the indicators in STM, this paper formulates the component selection problem such that a company can improve sustainability of its products most effectively through improving components´ performance. The approach is illustrated through an example.
  • Keywords
    environmental management; industrial economics; product development; productivity; socio-economic effects; sustainable development; absolute indicator eco-efficiency; component selection problem; economic successes; environmental performance; environmental quality; global consumption; global population; product sustainability; relative indicator resource productivity; social equity; sustainability target method; sustainable development; Companies; Decision making; Economic indicators; Environmental economics; Manufacturing automation; Productivity; Protection; Pulp manufacturing; Sensitivity analysis; Sustainable development;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2003. Proceedings. ICRA '03. IEEE International Conference on
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-7736-2
  • Type

    conf

  • DOI
    10.1109/ROBOT.2003.1242139
  • Filename
    1242139