Application of fuzzy materials-handling inputs with the genetic algorithm for machine layout

Jadram, Chiranuwat; Boongsood, Wanwanut

doi:10.1109/icitm.2018.8333958

Cited by 1 publication

(1 citation statement)

References 19 publications

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“…However, based on the suggestions given by some research [21][22][23], the TOS method seems to be superior in finding a solution qualitatively (for instance, minimizing the total material handling cost) and obtain answers faster and closer to the optimum. In our paper presented initially to a conference [28], we related to the research of Kritwattanakorn, et al [27] that not to apply mutation, used TOS for selection, and showed how to deal with the vagueness of information and assist solving problems taken from earlier research works [25,26]. Our proposed method performed corresponding to the work presented by Jinghui, et al [21] that using TOS is competitive in terms of solution quality and achieving minimization faster.…”

Section: Introductionmentioning

confidence: 73%

Effects of Using Fuzzy Material Handling Inputs in the Genetic Algorithm for Machine Layout

Boongsood¹,

Jadram²

2019

Adv. sci. technol. eng. syst. j.

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This study introduces the implementation of fuzzy set theory to solve machine layout design issues, in order to handle vague information, using a genetic algorithm with tournament selection as the selection operator. The material handling inputs, including frequency and volume of materials that move between machines, were the parameters regarded as fuzzy numbers. The experimental results came from 2 case studies in a manufacturing system. In the first case, examining the difference in shapes of the triangular membership functions of input data, the total distances were reduced from 38.45 m to 29.72 m, a 22.71% reduction in distance. In the second case, examining the uncertainty of fuzzy data by an expert, the total distances were reduced from 103.45 m to 82.45 m, a 20.03% reduction in distance. It was found that given the uncertainty in input data, a shorter total material handling distance might not give a lower cost. The selection operator of tournament selection can compete effectively to converge to near the optimum solution. This can, therefore, be an alternative technique in managing manufacture.

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