SIMULATION-BASED DECISION MODEL TO CONTROL DYNAMIC MANUFACTURING REQUIREMENTS: APPLICATION OF GREY FORECASTING - DQFD

Authors

  • Maher Lazreg University of Sousse, ISSAT of Sousse, Tunisia.
  • Anis Chelbi University of Tunis, ENSIT, Tunisia. / SMU, MSB, Tunisia.

DOI:

https://doi.org/10.23055/ijietap.2023.30.2.8551

Keywords:

Dynamic QFD, Grey forecasting, AHP, Topsis, Decision making

Abstract

Manufacturing systems have to adapt to changing requirements of their internal and external customers. In fact, new requirements may appear unexpectedly and may change multiple times. Change is a straightforward reality of production, and the engineer has to deal with the dynamic work environment. In this perspective, this paper proposes a decision model in order to fit actual and future processes’ needs. The proposed model is based on the dynamic quality function deployment (DQFD), grey forecasting model GM (1,1) and the technique for order preference by similarity to ideal solution (TOPSIS). The cascading QFD-based model is used to show the applicability of the proposed methodology. The simulation results illustrate the effect of the manufacturing needs changes on the strategic, operational and technical improvements.

Author Biography

Maher Lazreg, University of Sousse, ISSAT of Sousse, Tunisia.

Mechanical Department.

Assistant Professor.

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Published

2023-04-18

How to Cite

Lazreg, M., & Chelbi, A. (2023). SIMULATION-BASED DECISION MODEL TO CONTROL DYNAMIC MANUFACTURING REQUIREMENTS: APPLICATION OF GREY FORECASTING - DQFD. International Journal of Industrial Engineering: Theory, Applications and Practice, 30(2). https://doi.org/10.23055/ijietap.2023.30.2.8551

Issue

Section

Modelling and Simulation