An inventory optimal model is built under stochastic customer demand. Predictive model is used to decrease disturbed customer demand. BP neural network is adopted to deal with non-linear problem in the supply chain system. The simulation between each node of enterprise and inventory position is showed. It may well predict dynamic and non-linear inventory level at next time.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Predictive Control of Inventory in Supply Chain under Stochastic Customer Demand


    Contributors:
    Li, Ye (author) / Tang, Da (author)

    Conference:

    First International Conference on Transportation Engineering ; 2007 ; Southwest Jiaotong University, Chengdu, China



    Publication date :

    2007-07-09




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Predictive Control of Inventory in Supply Chain under Stochastic Customer Demand

    Li, Y. / Tang, D. / China Communications and Transportation Association; Transportation & Development Institute (American Society of Civil Engineers) | British Library Conference Proceedings | 2007


    A supply chain inventory model with imperfect quality and stochastic demand

    Hamdani, Irfan Hilmi / Jauhari, Wakhid Ahmad / Khairina, Alifah | IEEE | 2015



    Optimizing inventory decisions in a multi-stage multi-customer supply chain: A note

    Cárdenas-Barrón, Leopoldo Eduardo | Online Contents | 2007


    Supply chain planning decisions under demand uncertainty

    Huang, Yanfeng Anna | DSpace@MIT | 2008

    Free access