A Survey on Regression Models for EOL Product Cost Prediction






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A Survey on Regression Models for EOL Product Cost Prediction

Ekta Chikhaliya1, Prof. Priyanka Choudhary2

VITM, Indore, India

Abstract: End-of-life product remanufacturing represents a crucial component of sustainable business practices. By extending the life of products, minimizing waste, and supporting economic growth, remanufacturing aligns with the principles of a circular economy. As industries and consumers increasingly recognize the environmental and economic benefits, the integration of end-of-life product remanufacturing is likely to grow, contributing to a more sustainable and responsible approach to resource utilization and waste management. Hence it is necessary to remanufacture wherever possible. Typically end of life (EoL) products are remanufactured based on their remaining useful life. For the purpose cost estimation for end of life products is essential. This paper presents a survey on statistical techniques as well as previous work done in the domain.

Keywords:-EoL Products, Remanufacturing Cost Forecasting, Evolutionary Algorithms, Forecasting Error, Accuracy.

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