Javascript must be enabled to continue!
Implementation of Fuzzy Logic Using Mamdani Method to Determine The Quantity of Bag Production (Case Study In Roman Indah Padang Bag Factory)
View through CrossRef
Roman Indah bag Factory is a bag manufacturing company that receives orders from customers every month. Fuzzy Logic is used to define the production known so far, so that the preferred result can be used as a basis for manager's decision. In the calculation process, Fuzzy Logic Mamdani requires maximum and minimum production data, maximum and minimum demand data, and maximum and minimum inventory data. Fuzzy logic is able to map an input into an output without factor factors. Fuzzy logic is used to create a model of a system that is able to determine the quantity of production. the factors that affect the quantity of production. Fuzzy logic is called the old new logic because the science of modern fuzzy logic and methodological was discovered only a few years ago, in fact the concept of fuzzy logic itself has been in us for a long time. Mamdani method is the most common method when it comes to fuzzy methodology. Mamdani method uses a set of IF-THEN rules derived from experienced operators/experts. The Mamdani model is often known as the Max-Min model. By using Mamdani method in Roman Indah handbag factory can assist in the efficiency of time and labour, because using Mamdani method can calculate the amount of production in the next month, so from the results can be derived consideration material decision by the manager, whether in determining raw materials, promotion, bag model, consumer, HR, etc. so that more company profits.
Universitas Islam Kuantan Singingi
Title: Implementation of Fuzzy Logic Using Mamdani Method to Determine The Quantity of Bag Production (Case Study In Roman Indah Padang Bag Factory)
Description:
Roman Indah bag Factory is a bag manufacturing company that receives orders from customers every month.
Fuzzy Logic is used to define the production known so far, so that the preferred result can be used as a basis for manager's decision.
In the calculation process, Fuzzy Logic Mamdani requires maximum and minimum production data, maximum and minimum demand data, and maximum and minimum inventory data.
Fuzzy logic is able to map an input into an output without factor factors.
Fuzzy logic is used to create a model of a system that is able to determine the quantity of production.
the factors that affect the quantity of production.
Fuzzy logic is called the old new logic because the science of modern fuzzy logic and methodological was discovered only a few years ago, in fact the concept of fuzzy logic itself has been in us for a long time.
Mamdani method is the most common method when it comes to fuzzy methodology.
Mamdani method uses a set of IF-THEN rules derived from experienced operators/experts.
The Mamdani model is often known as the Max-Min model.
By using Mamdani method in Roman Indah handbag factory can assist in the efficiency of time and labour, because using Mamdani method can calculate the amount of production in the next month, so from the results can be derived consideration material decision by the manager, whether in determining raw materials, promotion, bag model, consumer, HR, etc.
so that more company profits.
Related Results
Hubungan Perilaku Pola Makan dengan Kejadian Anak Obesitas
Hubungan Perilaku Pola Makan dengan Kejadian Anak Obesitas
<p><em><span style="font-size: 11.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-langua...
Increased life expectancy of heart failure patients in a rural center by a multidisciplinary program
Increased life expectancy of heart failure patients in a rural center by a multidisciplinary program
Abstract
Funding Acknowledgements
Type of funding sources: None.
INTRODUCTION Patients with heart failure (HF)...
Afrikanske smede
Afrikanske smede
African Smiths Cultural-historical and sociological problems illuminated by studies among the Tuareg and by comparative analysisIn KUML 1957 in connection with a description of sla...
Konstruksi Sistem Inferensi Fuzzy Menggunakan Subtractive Fuzzy C-Means pada Data Parkinson
Konstruksi Sistem Inferensi Fuzzy Menggunakan Subtractive Fuzzy C-Means pada Data Parkinson
Abstract. Fuzzy Inference System requires several stages to get the output, 1) formation of fuzzy sets, 2) formation of rules, 3) application of implication functions, 4) compositi...
Hydatid Disease of The Brain Parenchyma: A Systematic Review
Hydatid Disease of The Brain Parenchyma: A Systematic Review
Abstarct
Introduction
Isolated brain hydatid disease (BHD) is an extremely rare form of echinococcosis. A prompt and timely diagnosis is a crucial step in disease management. This ...
Mamdani Fuzzy Expert System for Online Learning to Diagnose Infectious Diseases
Mamdani Fuzzy Expert System for Online Learning to Diagnose Infectious Diseases
E-learning and expert systems can be implemented for learning in the health sector. Through the e-learning system, prospective health workers can analyze problems by exploring the ...
Generated Fuzzy Quasi-ideals in Ternary Semigroups
Generated Fuzzy Quasi-ideals in Ternary Semigroups
Here in this paper, we provide characterizations of fuzzy quasi-ideal in terms of level and strong level subsets. Along with it, we provide expression for the generated fuzzy quasi...
Characterized Fuzzy R2.5 and Characterized Fuzzy T3.5 Spaces
Characterized Fuzzy R2.5 and Characterized Fuzzy T3.5 Spaces
This paper, deals with, introduce and study the notions of haracterized fuzzy R2.5 spaces and of characterized fuzzy T3.5 spaces by using the notion of fuzzy function family presen...

