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A Generalized Assignment of Standard Minute Value Model to Minimize the Difference Between the Planned and Actual Outputs of a Garment Production Line

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Recent Advances in Soft Computing and Data Mining (SCDM 2022)

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Abstract

The deviation of the actual output from the planned output has become a crucial problem in apparel industries. Many factors affect this difference, and most decision support systems use conventional approaches to optimize the Standard Minute Value (SMV) production processes. However, these approaches fail to address the problem accurately when the production process has more decisions to be taken. Therefore, this study aims to propose a mathematical model to the layout plan of a production line to solve this problem. In this study, we formulate a Generalized Assignment of Standard Minute Value (GASMV) model and apply the model to a case study related to a garment production line of an apparel manufacturing company to determine the optimal solution. The study concludes that the number of defects and the golden hour output are strongly negatively correlated. The results show that the proposed mathematical model provides the best SMV with the optimal assignments to each operation which is less than the specified SMV by the conventional approaches.

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Acknowledgments

This research was supported by the Universiti Tun Hussein Onn Malaysia (UTHM) through the Multidisciplinary Research Grant (MDR) (Vote H494).

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Authors and Affiliations

  1. Department of Mathematics, Faculty of Science, University of Peradeniya, Peradeniya, 20400, Sri Lanka

    Z. A. M. S. Juman, K. S. M. Karunamuni & H. M. N. S. Kumari

  2. Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, 86400, Batu Pahat, Johor, Malaysia

    Salama A. Mostafa & Rozaida Ghazali

Authors
  1. Z. A. M. S. Juman
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  2. Salama A. Mostafa
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  3. Rozaida Ghazali
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  4. K. S. M. Karunamuni
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  5. H. M. N. S. Kumari
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Corresponding author

Correspondence to Salama A. Mostafa .

Editor information

Editors and Affiliations

  1. Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Malaysia

    Rozaida Ghazali

  2. Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Malaysia

    Nazri Mohd Nawi

  3. Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Malaysia

    Mustafa Mat Deris

  4. School of Information Technology Faculty of Science, Engineering and Built Environment, Deakin University, Geelong, VIC, Australia

    Jemal H. Abawajy

  5. Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Malaysia

    Nureize Arbaiy

Appendix: Sample of Testing Data

Appendix: Sample of Testing Data

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Juman, Z.A.M.S., Mostafa, S.A., Ghazali, R., Karunamuni, K.S.M., Kumari, H.M.N.S. (2022). A Generalized Assignment of Standard Minute Value Model to Minimize the Difference Between the Planned and Actual Outputs of a Garment Production Line. In: Ghazali, R., Mohd Nawi, N., Deris, M.M., Abawajy, J.H., Arbaiy, N. (eds) Recent Advances in Soft Computing and Data Mining. SCDM 2022. Lecture Notes in Networks and Systems, vol 457. Springer, Cham. https://doi.org/10.1007/978-3-031-00828-3_27

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