• DocumentCode
    130480
  • Title

    Sustainable supply chain - Supporting tools

  • Author

    Grzybowska, Katarzyna ; Kovacs, Gabor

  • Author_Institution
    Poznan Univ. of Technol., Poznan, Poland
  • fYear
    2014
  • fDate
    7-10 Sept. 2014
  • Firstpage
    1321
  • Lastpage
    1329
  • Abstract
    The most important topic for researchers is supply chain, that takes into account environmental factors and social aspects. That is why top managers prefer taking into account key performance indicators currently. Harmonization of social, environmental and economic components makes development of supply chains sustainable. This document is based on environmental protection; it details the main features of sustainable supply chain. It presents supporting tools of collaboration in sustainable supply chains. The main examined areas: system identification, order picking, inventory control systems, city logistics, intermodal logistics processes, routing, and logistics processes of earthwork. The tools: neural network, simulation, genetic algorithm, ant colony algorithm. The paper is structured as follows: First chapter defines sustainability and Sustainable Supply Chain (SSC). The second chapter presents supporting tools of collaboration in sustainable supply chains.
  • Keywords
    ant colony optimisation; environmental factors; genetic algorithms; neural nets; order picking; production engineering computing; stock control; supply chain management; sustainable development; vehicle routing; ant colony algorithm; city logistics; earthwork logistics processes; environmental protection; genetic algorithm; intermodal logistics processes; inventory control systems; neural network; order picking; routing; simulation; sustainable supply chain; system identification; Cities and towns; Economics; Optimization; Planning; Supply chains; Transportation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Systems (FedCSIS), 2014 Federated Conference on
  • Conference_Location
    Warsaw
  • Type

    conf

  • DOI
    10.15439/2014F75
  • Filename
    6933171