نتایج جستجو برای: objective linear programming was conducted considering economic

تعداد نتایج: 5027046  

This paper addresses supplier selection and order allocation problem while considering the losses arising from the risk of sanction in Iran’s Oil & Gas Drilling Industry. In the proposed study, two general classes of items and two different classes of suppliers are considered. AHP is first used to rank the potential suppliers. Then, a multi-objective linear programming model is proposed t...

Journal: :journal of algorithms and computation 0
samira rezaei department of algorithms and computation, university of tehran amin ghodousian university of tehran, college of engineering, faculty of engineering science

in this paper, a mathematical method is proposed to formulate a generalized ordering problem. this model is formed as a linear optimization model in which some variables are binary. the constraints of the problem have been analyzed with the emphasis on the assessment of their importance in the formulation. on the one hand, these constraints enforce conditions on an arbitrary subgraph and then g...

Journal: :journal of operation and automation in power engineering 2014
h. khorramdel b. khorramdel m. tayebi khorrami h. rastegar

the major problem of wind turbines is the great variability of wind power production. the dynamic change of the wind speed returns the quantity of the power injected to networks. therefore, wind–thermal generation scheduling problem plays a key role to implement clean power producers in a competitive environment. in deregulated power systems, the scheduling problem has various objectives than i...

Journal: :مهندسی صنایع 0
فیروزه کاوه دانشجوی کارشناسی ارشد دانشکدة مهندسی صنایع، دانشگاه تهران جعفر رزمی استاد دانشکدة مهندسی صنایع، پردیس دانشکده های فنی، دانشگاه تهران

in this study, a hierarchical hub location problem by considering different modes of transportation and maximum allowed delay is investigated. this study is done on iran’s express postal service with 2 days maximum delay in delivery considering ground and airport hubs. the problem is of the type of location and single allocation for collection, transfer and distribution of the shipments. all th...

2012
B. Stanojević M. Stanojević Bogdana Stanojević

The importance of linear fractional programming comes from the fact that many real life problems are based on the ratio of physical or economic values (for example cost/time, cost/volume, profit/cost or any other quantities that measure the efficiency of a system) expressed by linear functions. Usually, the coefficients used in mathematical models are subject to errors of measurement or vary wi...

Journal: :Transactions of the Society of Instrument and Control Engineers 1975

A Sarfaraz M.B Aryanezhad S.J Sadjadi

In this paper, the researchers present a multi-objective linear fractional inventory model using fuzzy pro-gramming. The proposed method in this paper is applied to a problem with two objective functions. The re-sulted fuzzy model is transformed into an ordinary linear programming. The implementation of the develop-ing model presented in this paper is demonstrated through the use of some numeri...

In this paper, robust optimization of a bi-objective mathematical model in a dynamic cell formation problem considering labor utilization with uncertain data is carried out. The robust approach is used to reduce the effects of fluctuations of the uncertain parameters with regards to all the possible future scenarios. In this research, cost parameters of the cell formation and demand fluctuation...

Alireza Alinezhad, Majid Zohrehbandian Meghdad Kian Mostafa Ekhtiari Nima Esfandiari

Recently, the economic crisis has resulted in instability in stock exchange market and this has caused high volatilities in stock value of exchanged firms. Under these conditions, considering uncertainty for a favorite investment is more serious than before. Multi-objective Portfolio selection (Return, Liquidity, Risk and Initial cost of Investment objectives) using MINMAX fuzzy goal programmin...

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