نتایج جستجو برای: management monte carlo simulation

تعداد نتایج: 1420479  

Journal: :Journal of Computational Physics 2008

Journal: :IEICE Communications Society Magazine 2008

Journal: :مدیریت صنعتی 0
اکبر عالم تبریز استاد گروه مدیریت، دانشکدۀ مدیریت و حسابداری، دانشگاه شهید بهشتی، تهران، ایران فرنوش خالدیان کارشناس‎ارشد مدیریت صنعتی، دانشکدۀ مدیریت و اقتصاد، دانشگاه آزاد اسلامی واحد علوم تحقیقات، تهران، ایران مصطفی مهدی پور کارشناس‎ارشد، مهندسی پزشکی، دانشکدۀ مهندسی پزشکی، دانشگاه صنعتی امیرکبیر، تهران، ایران

being observed frequently that projects cannot achieve to their plan duration and their budget. utilizing retrospective method is one of the reasons for this problem. in this research two method, earned duration management and risk management, has been used to remove the gap of the plan and the reality; this enable the project to utilize both high accuracy of the first method and prophecy of th...

Journal: :international journal of industrial engineering and productional research- 0
masoud mahootchi 424 hafez aven, tehran, iranue taher ahmadi 424 hafez avenue, tehran, iran kumaraswamy ponnambalam 200 university avenue, waterloo, canada

this paper presents a new formulation for warehouse inventory management in a stochastic situation. the primary source of this formulation is derived from fp model, which has been proposed by fletcher and ponnambalam for reservoir management. the new proposed mathematical model is based on the first and the second moments of storage as a stochastic variable. using this model, the expected value...

ژورنال: سلامت و محیط زیست 2016
حاجی میر محمد علی, راضیه سادات, کاریاب, حمید,

Background and Objective: The concentration of nitrate, factors affecting the balance sheet, and the changes in an aquifer is of utmost importance. Because modeling is an efficient method to predict the concentration of ions in water resources, in this study using lumped-parameter model and Monte Carlo simulation model, the nitrate concentrations in groundwater resources of Qazvin Plain were es...

تدین رودی, پویا , شریعتی‌نسب, رضا ,

This paper presents a new method, based on analytical relations and Monte Carlo simulation for calculating the lightning performance of overhead lines caused by direct strokes. The aim of the work is to reduce the computing time together with retaining enough accuracy to estimate the line lightning performance and performing the risk analysis of power networks. In the proposed method, some modi...

2008

Monte Carlo simulation is named after the city of Monte Carlo in Monaco, which is famous for gambling such as roulette, dice, and slot machines. Since the simulation process involves generating chance variables and exhibits random behaviors, it has been called Monte Carlo simulation. Monte Carlo simulation is a powerful statistical analysis tool and widely used in both non-engineering fields an...

Abbas Tabandeh Amir Abdollahi Masoud Rashidinejad

Under the smart grid environments, Demand Response Resources (DRRs) as power system resources can effectively participate in and improve performance of electric systems. Congestion management is one of the technical challenges in which DRRs can play a significant role. Previously, congestion management is applied without considering the power system uncertainties. Therefore, a stochastic conges...

1995
Olaf Lubeck

In this paper we present functional Id and Haskell versions of a large Monte Carlo radiation transport code, and compare the two languages with respect to their expressiveness. Monte Carlo transport simulation exercises such abilities as parsing, input/output, recur-sive data structures and traditional number crunching, which makes it a good test problem for languages and compilers. Using some ...

Journal: :international journal of industrial mathematics 0
k. fathi vajargah department of statistics, islamic azad university, north branch tehran, iran.

the length of equal minimal and maximal blocks has e ected on logarithm-scale logarithm against sequential function on variance and bias of de-trended uctuation analysis, by using quasi monte carlo(qmc) simulation and cholesky decompositions, minimal block couple and maximal are founded which are minimum the summation of mean error square in horest power.

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