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An Entropy-based Mathematical Formulation for Straight Assembly Line Balancing Problem

Author

Listed:
  • Ahmad Heydari

    (Department Mathematics, Firouzabad Institute of Higher Education, Firouzabad, Iran)

  • Ali Mahmoodirad

    (Department of Mathematics, Masjed-Soleiman Branch, Islamic Azad University, Masjed-Soleiman, Iran)

  • Sadegh Niroomand

    (Department of Industrial Engineering, Firouzabad Institute of Higher Education, Firouzabad, Iran)

Abstract

This paper focuses on formulating a typical simple assembly line balancing problem. A new objective function based on a nonlinear entropy function is considered for the simple assembly line balancing problem for the first time. This objective function force the stations to have more similar total task processing time, so that the workers of the stations will have similar work load. Using a bounded variable approach, the nonlinear objective function is converted to an approximated linear objective function. Finally, efficiency of the linearized formulation of the entropy-based assembly line balancing problem is tested by a numerical example.

Suggested Citation

  • Ahmad Heydari & Ali Mahmoodirad & Sadegh Niroomand, 2016. "An Entropy-based Mathematical Formulation for Straight Assembly Line Balancing Problem," International Journal of Strategic Decision Sciences (IJSDS), IGI Global, vol. 7(2), pages 57-68, April.
    • Handle: RePEc:igg:jsds00:v:7:y:2016:i:2:p:57-68
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    Cited by:

    1. Heydar Ali Mardani-Fard & Abdollah Hadi-Vencheh & Ali Mahmoodirad & Sadegh Niroomand, 2020. "An effective hybrid goal programming approach for multi-objective straight assembly line balancing problem with stochastic parameters," Operational Research, Springer, vol. 20(4), pages 1939-1976, December.

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