Expiry Classification and Improved Efficient Delivery Mechanism of Packaged Food Product Using XGBoost Algorithm and Haversine Formula

DOI

10.2991/978-94-6463-136-4_60How to use a DOI?

Keywords

supply chain management (scm); xgboost; k-means; classification

Abstract

Supply chain management and typical small scale independent retailer’s poor infrastructure, poor management approach, makes Supply chain management at state-of-the-art levels is challenging in the present situation. There are mainly unorganized retailers dominating the Indian retail market. Retailers who are haphazard homogeneous class present in today’s markets. There has been a significant growth in organized retailers entering the retail industry in recent years. There are several drawbacks associated with the existing supply chain that serves mainly independent retailers. Among the current supply chain’s major disadvantages are numerous intermediaries, wastage and quality degradation, poor infrastructure, and high costs. These observations explore ways of improving transportation and supply chain management within the food processing industry. Several factors contribute to the inefficiency of transportation and handling systems. This results in a lack of consistency in the supply of quality raw materials to processing, packaging, and distribution companies. In today’s competitive market, it is extremely difficult to successfully maintain high quality, low cost products without any additional costs from suppliers. As a network process, supply chain management involves people, organizations, information, activities, and resources. Uncertainty and variation in supply affect supply chain accomplishment, so SCM must be able to accommodate them. A Streamlining supply chains in an effective way is through information sharing systems. In our proposed system the quality classification of food products with expiry dates using machine learning technique improves the SCM. The system uses XGBOOST algorithm which makes the classification with perception and clarification than K-Means algorithm.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Abhishek Desai
AU  - Kundan Dhore
AU  - Sandesh Kanagal
AU  - Ritesh Naik
AU  - Swapnil Gharat
PY  - 2023
DA  - 2023/05/01
TI  - Expiry Classification and Improved Efficient Delivery Mechanism of Packaged Food Product Using XGBoost Algorithm and Haversine Formula
BT  - Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)
PB  - Atlantis Press
SP  - 702
EP  - 709
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-136-4_60
DO  - 10.2991/978-94-6463-136-4_60
ID  - Desai2023
ER  -