Distribution network model using big data in an international environment.

Clicks: 270
ID: 84923
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #426 of 637 articles by views in The Science of the total environment

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 637 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

10 SUSD one-off · no wallet required
Abstract
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.
Reference Key
mishra2019distributionthe Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Mishra, Shraddha;Singh, Surya Prakash;
Journal The Science of the total environment
Year 2019
DOI
S0048-9697(19)35543-3
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.