Abstract

Factors which affect the performance of assembly lines are difficult to be assessed and solved by mathematical model. This study attempts a practical solution to the stochastic Automobile Instrument cluster assembly line balancing problem. The factors influencing the assembly time in manufacturing systems are analysed, the precedence diagram model for the above assembly line is built and the effects of factors on the line balancing problem are considered. Lastly, the balancing results of the deterministic model are compared to the real world data from industries for the effective usage of the altered model.

Keywords:

Assembly line balancing techniques, automobile instrument cluster assembly line, kilbridge wester method, stochastic factors,

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Competing interests

The authors have no competing interests.

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The authors have no competing interests.