Application of Fuzzy Logic in Sales Inventory System: A Literature Review

Indrawan, Gede; Putra, I. Putu Andika Subagya; Dewi, Luh Joni Erawati; Gunadi, I Gede Aris

doi:10.1007/978-981-19-1610-6_47

Cited by 1 publication

(2 citation statements)

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“…Suppose the implication value for reduced production equals zero, and the value for increased production does not equal zero. In that case, the moment of the modified output area is calculated using Equation (15) and Equation (16). At the same time, the Ì 511 area is calculated using Equation (17) and Equation (18).…”

Section: Fuzzy Methodsmentioning

confidence: 99%

“…Fuzzy methods have been widely used to assist decision-making in various fields, such as analyzing customer satisfaction [12], detecting diseases [13], stock optimization [14][15][16], and determining the amount of production from various business fields. The use of the Fuzzy method to help determine the amount of apparel production is carried out by [11,17,18].…”

Section: Introductionmentioning

confidence: 99%

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Optimizing the Amount of Production Using Hybrid Fuzzy Logic and Census II

Limanto,

Prasetyo,

Mercifia

2023

matrik

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Companies should do planning before the production process. Production planning is expected to avoid excessive or insufficient product stocks that harm the company. This study aims to help a plastic spoon company in Gresik, East Java to determine the optimal amount of production using the Fuzzy method. The input variables used are the amount of demand and supply. However, the amount of demand that fluctuated, especially during the Covid-19 pandemic, made it difficult for the company to estimate the amount of demand in the upcoming production period. Therefore, in this study, the amount of demand is calculated from the results of forecasting with the Cencus II method. The results of the study provide an accuracy of the recommendations for the amount of production of 77% and an accuracy of forecasting results of 82%.

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