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Modeling and Analysis of Defect Data—A Time Series Approach

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Recent Advances in Mechanical Engineering

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

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Abstract

Defect data analysis is gaining importance as defects directly impact not only product performance but productivity of an organization as well. Further, defects can neither be completely isolated nor be removed from a product or process but can only be reduced. So to reduce defects in a product or a manufacturing process, it is important that manufacturing defect data may be modeled and analyzed. From such data analysis, it is possible to ascertain significant correlation among the defect data or determine any persistence behavior and make forecasting on the basis of the prevailing situation. Hence in this paper, manufacturing defect data of refrigerator liners has been modeled and analyzed using time series approach. From the study, significant correlations among the data is determined which further enabled forecasting trends and understanding manufacturing process problems at a greater depth.

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Author information

Authors and Affiliations

  1. Tezpur University, Tezpur, 784028, India

    Barnali Chowdhury

  2. Assam Engineering College, Assam Science and Technology University, Guwahati, 781016, India

    Sudip Kumar Deb

Authors
  1. Barnali Chowdhury
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  2. Sudip Kumar Deb
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Corresponding author

Correspondence to Barnali Chowdhury .

Editor information

Editors and Affiliations

  1. Department of Polymer and Process Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Gaurav Manik

  2. Department of Chemistry, Indian Military Academy, Dehradun, Uttarakhand, India

    Susheel Kalia

  3. Department of Instrumentation and Control Engineering, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India

    Om Prakash Verma

  4. Department of Computer Science and Engineering, Shobhit University, Gangoh, Saharanpur, Uttar Pradesh, India

    Tarun K. Sharma

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Chowdhury, B., Deb, S.K. (2023). Modeling and Analysis of Defect Data—A Time Series Approach. In: Manik, G., Kalia, S., Verma, O.P., Sharma, T.K. (eds) Recent Advances in Mechanical Engineering. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-19-2188-9_85

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  • DOI: https://doi.org/10.1007/978-981-19-2188-9_85

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-2187-2

  • Online ISBN: 978-981-19-2188-9

  • eBook Packages: EngineeringEngineering (R0)

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