INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Product placement is one of the most complicated process in supply chain and logistic management for eCommerce industries. It requires prioritizing which product to be placed and in which channel to optimize product delivery time and maximize profit. There can be no perfect decision in this matter but can be chosen from a wide array of possible solutions which in turn represents only a subset of a big and complex solution space. This important decision has impact downstream on product delivery, product return, customer satisfaction and profitability of the eCommerce platform. This can also have impact on churn and other business drivers. We have taken up this problem and tried to apply Genetic Algorithm (GA) to come up with a best fit solution. In this heuristic study we will also propose a reference public cloud-based deployment strategy to deploy the solution proposed in a public cloud environment.
"Exploring Genetic Algorithm to Optimize Product Placement in a Stochastic Constrained Supply Chain Workflow", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 6, page no.622 - 626, June-2023, Available :http://www.ijsdr.org/papers/IJSDR2306092.pdf
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Publication Details:
Published Paper ID: IJSDR2306092
Registration ID:207177
Published In: Volume 8 Issue 6, June-2023
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.36206
Page No: 622 - 626
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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