Distribution network model using big data in an international environment

被引:13
|
作者
Mishra, Shraddha [1 ]
Singh, Surya Prakash [1 ]
机构
[1] Indian Inst Technol Delhi, Dept Management Studies, Delhi, India
关键词
Distribution network; Facility location; Big data; Import export cost; Mixed integer linear programming; SUPPLY CHAIN MANAGEMENT; PLANT-LOCATION PROBLEM; FACILITY LOCATION; PREDICTIVE ANALYTICS; OPERATIONS STRATEGY; DESIGN; SUSTAINABILITY; OPTIMIZATION; PERFORMANCE; FRAMEWORK;
D O I
10.1016/j.scitotenv.2019.135549
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper proposes dynamic mixed integer facility location model to design an international manufacturing network (IMN). The proposed model considers a broad facility network linking production and distribution facilities located internationally. The proposed model discussed in the paper assumes significance over the traditional manufacturing model as it provides a country specific analysis making it more convenient for the decision maker to devise country specific strategies within an international ecosystem. Therefore, the model considers import export cost, loan subsidies along with depreciation expense and other operating costs applicable to specific country. The objective of the model is to identify optimal facility locations and the production distribution in the entire network to meet the demand of global markets. The proposed model is illustrated and computationally tested using two cases. Model parameters are mapped using 3Vs of Big Data viz. Volume, Velocity and Variety. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] Distribution network design with big data: model and analysis
    Wang, Gang
    Gunasekaran, Angappa
    Ngai, Eric W. T.
    ANNALS OF OPERATIONS RESEARCH, 2018, 270 (1-2) : 539 - 551
  • [2] Distribution network design with big data: model and analysis
    Gang Wang
    Angappa Gunasekaran
    Eric W. T. Ngai
    Annals of Operations Research, 2018, 270 : 539 - 551
  • [3] Network Manufacturing in the Big Data Environment
    Kong, Weichang
    Li, Li
    Qiao, Fei
    Wu, Qidi
    2014 IEEE INTERNATIONAL CONFERENCE ON SYSTEM SCIENCE AND ENGINEERING (ICSSE), 2014, : 13 - 17
  • [4] Data Model for Big Data in Cloud Environment
    Khan, Imran
    Naqvi, S. K.
    Alam, Mansaf
    Rizvi, S. N. A.
    2015 2ND INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT (INDIACOM), 2015, : 582 - 585
  • [5] Personalized Recommendation Model Based on Improved GRU Network in Big Data Environment
    Guo, Hui
    Guo, Zheng
    Liu, Zhihong
    JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING, 2023, 2023
  • [6] Using improved RFM model to classify consumer in big data environment
    Sun, Guang
    Xie, XiaoFeng
    Zeng, Jiayibei
    Jiang, Wangdong
    Lin, Meisi
    Huang, YuXuan
    Xiao, Yanfei
    INTERNATIONAL JOURNAL OF EMBEDDED SYSTEMS, 2021, 14 (01) : 54 - 64
  • [7] Network Rumor Detection Method Using Deep Learning in Big Data Environment
    Lei, Xi
    MOBILE INFORMATION SYSTEMS, 2022, 2022
  • [8] Using Big Data in the Academic Environment
    Logica, Banica
    Magdalena, Radulescu
    ECONOMIES OF BALKAN AND EASTERN EUROPE COUNTRIES IN THE CHANGED WORLD (EBEEC 2015), 2015, 33 : 277 - 286
  • [9] Network Rumor Detection Using Attention Mechanism and BiGRU Neural Network in Big Data Environment
    Yuan, Sida
    Yang, Qiong
    JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS, 2024, 33 (01)
  • [10] Data masking model for heterogeneous big data environment
    Tong L.
    Li P.
    Duan D.
    Ren B.
    Li Y.
    Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2022, 48 (02): : 249 - 257