this paper tries to determine efficiency of noise control method using fuzzy logic and based on collected data. from among various methods of noise control in workplace, sex methods (enclosure, installing noise absorber, enclosure and absorber, active, and administrative control, and personal protective equipment) were typically selected based on experts' judgment. for each of selected control ...

Fuzzy clustering methods are conveniently employed in constructing a fuzzy model of a system, but they need to tune some parameters. In this research, FCM is chosen for fuzzy clustering. Parameters such as the number of clusters and the value of fuzzifier significantly influence the extent of generalization of the fuzzy model. These two parameters require tuning to reduce the overfitting in the...

Risk management is one of the most influential parts of project management that has a major impact on the success or failure of projects. Due to the increasing use of information technology (IT) systems in all fields and the high failure rate of IT projects in software development and production, it is essential to effectively manage these projects is essential. Therefore, this study is aimed t...

ABSTRACT: Process planning is a function in a manufacturing organization that systematically determines the detailed methods such as the manufacturing processes and process parameters to be used to convert a part from its initial design to the finished product. In a real manufacturing workplace the number of feasible sequences for a part increases exponentially as the complexity of the product ...

This article addresses a fuzzy logic approach to calculate the optimum minimum allowable composition difference (?) to target the minimum total annualized cost (TAC) of a mass exchange network (MEN), which is based on combining composition interval diagram (CID) with fuzzy set theory. The value of ? directly affect the TAC as a main constrain. By utilizing this decision algorithm it gives the o...

Looking through the inventory models with deteriorating items shows that the deterioration rate is considered constant in most of the previous researches. But,in the real world, deterioration rate is not actually constant and slightly disturbed from its original crisp value. In this paper a more realistic inventory model with fuzzy deterioration and fully backlogged shortage under inflation is ...

This paper develops Fuzzy inventory model to determine the relevant profit maximizing decision variable values. The model proposed is based on individual profits of vendor and buyer and joint total profit of them which finds out optimal ordering quantity, selling price and shipment policies. Shortages are allowed for both of them. Production rate, ordering quantity, shortage and holding cost of...

An integrated intelligent algorithm is proposed to optimize the reliability, maintainability, and total cost in job shop production system. The consists of three basic modules computer simulation. each comprising phases Algorithm, simulation, Experiments/robustness validation. In design phase, different scenarios are determined by changing parameters affecting cost. system simulated simulation ...

One of the main challenges designing effective reverse logistic network is to predict amount product which reach end their useful life. Thus, in this study, we propose fuzzy multi-objective mixed integer linear programming (Fuzzy-MOMILP) model returned considered as an uncertain parameter. In order solve proposed multi objective mathematical model, a solution approach applied. The Fuzzy-MOMILP ...