DOI: https://doi.org/10.9744/jti.22.2.%25p

A Genetic Algorithm for the Double Row Layout Problem

Achmad Pratama Rifai, Setyo Tri Windras Mara, Putri Adriani Kusumastuti, Rakyan Galuh Wiraningrum

Abstract


The double row layout problem (DRLP) is an NP-hard and has many applications in the industry. The problem concerns on arranging the position of  machines on the two rows so that the material handling cost is minimized. Although several mathematical programming models and local heuristics have been previously proposed, there is still a requirement to develop an approach that can solve the problem efficiently. Here, a genetic algorithm is proposed, which is aimed to solve the DRLP in a reasonable and applicable time. The performances of the proposed method, both its obtained objective values and computational time, are evaluated by comparing it with the existing mathematical programming model. The results demonstrate that the proposed GA can find relatively high-quality solutions in much shorter time than the mathematical programming model, especially in the problem with large number of machines.


Keywords


Facility layout planning; Double row layout problem; Genetic algorithm; Material handling cost

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References


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DOI: https://doi.org/10.9744/jti.22.2.%25p




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