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Predicting Manufacturing Feasibility Using Context Analysis

  • Vivek KumarEmail author
  • Dilip K. Sharma
  • Vinay K. Mishra
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 767)

Abstract

In the present scenario, the technology revisions are making the market vulnerable to predict. This gives birth to the requirement of a new model which can stop loss of a production business by predicting the market using news analysis, associative rule mining, precise predicting techniques and context analysis. This paper presents a novel idea of dealing with manufacturers’ problem of product dump due to the rapid change in technology and the changing demand of customers. Every new product launched with new features or with existing features but less price gives a tough competition to already existing products in the market. By the time the manufacturer comes to know that the demand has been decreased, the manufacturer is already in the loss and he has to dump already manufactured pieces due to rapid down sale. In this paper, a model is proposed with an algorithm to quickly identify the required number of pieces in a time frame.

Keywords

Analytics Associative rule mining Context mining Predictive analytics Manufacturing Product dump 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Vivek Kumar
    • 1
    Email author
  • Dilip K. Sharma
    • 1
  • Vinay K. Mishra
    • 2
  1. 1.GLA UniversityMathuraIndia
  2. 2.SRMGPC, TiwariganjLucknowIndia

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