• DocumentCode
    2542096
  • Title

    SCM-based optimization of production planning for coal mine

  • Author

    Zhao, Yiqing ; Zhou, Yaodong ; Li, Cuiping ; Cao, Zhiguo

  • Author_Institution
    State Key Lab. of High-efficient Min. & Safety of Metal Mines, Univ. of Sci. & Technol. Beijing, Beijing, China
  • fYear
    2012
  • fDate
    29-31 May 2012
  • Firstpage
    968
  • Lastpage
    972
  • Abstract
    The uncertainty of occurrence of raw coal and coal quality and the various constraints on mine production capacity are the major factors which need to be taken into special consideration in the supply chain management (SCM) of coal enterprises. In order to make coal enterprises to quickly respond to changes in customer demand and improve supply chain and logistics management level, this paper presents a supply chain model for coal mine planning with a linear programming model for production scheduling. The goal for the optimization model of production planning and scheduling is to maximize sales volume with the constraints of customer demand, lead time, capacity constraints and inventory in the supply chain. An example of open pit coal mine is used to demonstrate the model application and its ability in reducing planning and scheduling time and responding to uncertainty.
  • Keywords
    coal; customer services; linear programming; logistics; mining industry; production planning; supply chain management; SCM-based optimization; capacity constraints; coal mine planning; coal quality; customer demand; lead time; linear programming model; logistics management level; mine production capacity; open pit coal mine; production planning; production scheduling; raw coal; supply chain management; Coal; Coal mining; Equations; Planning; Production planning; Supply chains; coal mine; optimization of production planning; supply chain management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
  • Conference_Location
    Sichuan
  • Print_ISBN
    978-1-4673-0025-4
  • Type

    conf

  • DOI
    10.1109/FSKD.2012.6233779
  • Filename
    6233779