The approach is based on fuzzy logic analysis as it does not require the statement and solutions of complex problems of mathematical equations. Here consideration is inventory control problem solutions, for which demand values for the stock and it quantity-on-hand in store is proposed. Expert decisions are considered for developing the fuzzy models, and the approach is based on method of nonlinear dependencies identifications by fuzzy knowledge. The linguistic variables are considered for the membership functions. Simple IF-Then rules are used with expert advices. Copyright © www.iiste.org Keywords:- Inventory control, Fuzzy logic, Membership Function, Defuzzification
The ubiquitous nature of inventory and its reliance on a reliable decision support system (DSS) is c...
In company which is in form of manufaktur, production planning is one of the very important matter t...
The purpose of this article is to suggest tools of inventory management which would determine econom...
The approach is based on fuzzy logic analysis as it does not require the statement and solutions of ...
Inventory control in complex manufacturing environments encounters various sources of uncertainity a...
Inventory control in complex manufacturing environments encounters various sources of uncertainity a...
This paper presents a proposal for implementing a fuzzy logic approach to inventory management on a ...
In this research, Fuzzy control theory is applied to the inventory control of the supply chain betwe...
Inventory control in complex manufacturing environments encounters various sources of uncertainty an...
There are a variety of efficient approaches to solve crisp inventory models in operations research. ...
In this paper, an inventory control problem is discussed using imprecise parameters. The fusion of g...
[EN] The article presents a proposal for a combined application of fuzzy logic and genetic algorith...
Purpose The purpose of this paper is to construct a fuzzy logic model that acts as a decision suppo...
Fashion products retailers are facing the problem of balancing supply and demand efficiently. Howeve...
Mamdani's fuzzy algorithm enables the use of fuzzy logic to overcome the uncertainties and ambiguiti...
The ubiquitous nature of inventory and its reliance on a reliable decision support system (DSS) is c...
In company which is in form of manufaktur, production planning is one of the very important matter t...
The purpose of this article is to suggest tools of inventory management which would determine econom...
The approach is based on fuzzy logic analysis as it does not require the statement and solutions of ...
Inventory control in complex manufacturing environments encounters various sources of uncertainity a...
Inventory control in complex manufacturing environments encounters various sources of uncertainity a...
This paper presents a proposal for implementing a fuzzy logic approach to inventory management on a ...
In this research, Fuzzy control theory is applied to the inventory control of the supply chain betwe...
Inventory control in complex manufacturing environments encounters various sources of uncertainty an...
There are a variety of efficient approaches to solve crisp inventory models in operations research. ...
In this paper, an inventory control problem is discussed using imprecise parameters. The fusion of g...
[EN] The article presents a proposal for a combined application of fuzzy logic and genetic algorith...
Purpose The purpose of this paper is to construct a fuzzy logic model that acts as a decision suppo...
Fashion products retailers are facing the problem of balancing supply and demand efficiently. Howeve...
Mamdani's fuzzy algorithm enables the use of fuzzy logic to overcome the uncertainties and ambiguiti...
The ubiquitous nature of inventory and its reliance on a reliable decision support system (DSS) is c...
In company which is in form of manufaktur, production planning is one of the very important matter t...
The purpose of this article is to suggest tools of inventory management which would determine econom...