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
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