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A Daily Production Planning Model Considering Flexibility of the Production Line Under Uncertainty: A Case Study

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Intelligent Systems Design and Applications (ISDA 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1351))

Abstract

Due to the change of production processes from mass production mode to mass customization mode, increasing customer knowledge, and the rapid development of communication technology, manufacturing organizations are under increasing pressure from dynamic changes in the business environment. For example, continuous product changes and unexpected changes in demand patterns; therefore, organizations do their best to be more responsive to their customers by having a flexible production plan and taking into account the latest changes and fluctuations in demand. In this paper, using the mathematical model presented and minimizing the company’s costs, we try to obtain the appropriate time and the appropriate amount of production for each product. The presented model considers production capacity constraints, maximum production variety, as well as maintenance and setup times. The problem has been implemented in general algebraic modelling system software according to the home appliance industry’s conditions and information. Finally, the analysis of change in production line flexibility, change in the minimum allowable production of each product, and change in production capacity are examined and appropriate suggestions for improving the situation are presented and reviewed.

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Author information

Authors and Affiliations

  1. School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran

    Mohammad Sanjari-Parizi, Ali Navaei & Seyed Ali Torabi

  2. Machine Intelligence Research (MIR) Labs, Scientific Network for Innovation and Research Excellence, Washington, USA

    Ajith Abraham

Authors
  1. Mohammad Sanjari-Parizi
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  2. Ali Navaei
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  3. Ajith Abraham
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  4. Seyed Ali Torabi
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Corresponding author

Correspondence to Ajith Abraham .

Editor information

Editors and Affiliations

  1. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Ajith Abraham

  2. Department of Computer Science, Università degli Studi di Milano, Milan, Milano, Italy

    Vincenzo Piuri

  3. Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Niketa Gandhi

  4. Campus Centre de Créteil, Université Paris-Est Créteil, Créteil, France

    Patrick Siarry

  5. Department of Construction Management and Real Estate, Vilnius Gediminas Technical University, Vilnius, Lithuania

    Arturas Kaklauskas

  6. School of Engineering, Instituto Superior de Engenharia do Porto, Porto, Portugal

    Ana Madureira

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Sanjari-Parizi, M., Navaei, A., Abraham, A., Torabi, S.A. (2021). A Daily Production Planning Model Considering Flexibility of the Production Line Under Uncertainty: A Case Study. In: Abraham, A., Piuri, V., Gandhi, N., Siarry, P., Kaklauskas, A., Madureira, A. (eds) Intelligent Systems Design and Applications. ISDA 2020. Advances in Intelligent Systems and Computing, vol 1351. Springer, Cham. https://doi.org/10.1007/978-3-030-71187-0_57

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