A MODIFIED FUZZY MULTI-OBJECTIVE LINEAR PROGRAMMING TO SOLVE AGGREGATE PRODUCTION PLANNING

Iraq Tariq

doi:10.12732/ijpam.v104i3.5

Details

Publication Date

Sun Oct 18 2015

Journal Name

International Journal Of Pure And Applied Mathematics

Volume

104

Issue Number

1314-3395

DOI

10.12732/ijpam.v104i3.5

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A MODIFIED FUZZY MULTI-OBJECTIVE LINEAR PROGRAMMING TO SOLVE AGGREGATE PRODUCTION PLANNING

aggregate production planning (APP)

fuzzy multi-objective linear programming

mathematical model

aspiration level

tolerance level

Iraq Tariq

This paper develops a fuzzy multi-objective model for solving aggregate production planning problems that contain multiple products and multiple periods in uncertain environments. We seek to minimize total production cost and total labor cost. We adopted a new method that utilizes a Zimmermans approach to determine the tolerance and aspiration levels. The actual performance of an industrial company was used to prove the feasibility of the proposed model. The proposed model shows that the method is useful, generalizable, and can be applied to APP problems with other parameters.

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Publication Date

Tue Dec 05 2023

Journal Name

Baghdad Science Journal

An improved neurogenetic model for recognition of 3D kinetic data of human extracted from the Vicon Robot system

Breaking-up process

Combining process

Crossover

Feedforward ANN

Mutation

Neuro-Genetic model

Optimization

Recognition

Vicon Robot

3D data

Ivan V.

Safa A.

These days, it is crucial to discern between different types of human behavior, and artificial intelligence techniques play a big part in that. The characteristics of the feedforward artificial neural network (FANN) algorithm and the genetic algorithm have been combined to create an important working mechanism that aids in this field. The proposed system can be used for essential tasks in life, such as analysis, automation, control, recognition, and other tasks. Crossover and mutation are the two primary mechanisms used by the genetic algorithm in the proposed system to replace the back propagation process in ANN. While the feedforward artificial neural network technique is focused on input processing, this should be based on the proce

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Publication Date

Thu Feb 01 2024

Journal Name

Baghdad Science Journal

Comparative Study of Gamma- Ray Shielding Parameters for Different Epoxy Composites

ANN technique

Mass attenuation coefficient (µ/ρ)

MCNP-5 model

Radiation shielding

Epoxy composite

Radiation protection efficiency (RPE%).

Amal A.

Eman

In the current work various types of epoxy composites were added to concrete to enhance its effectiveness as a gamma- ray shield. Four epoxy samples of (E/clay/B4C) S1, (E/Mag/B4C) S2, (EPIL) S3 and (Ep) S4 were used in a comparative study of gamma radiation attenuation properties of these shields that calculating using Mont Carlo code (MCNP-5). Adopting Win X-com software and Artificial Neural Network (ANN), µ/ρ revealed great compliance with MCNP-5. By applying (µ/ρ) output for gamma at different energies, HVL, TVL and MFP have been also estimated. ANN technique was simulated to estimate (µ/ρ) and dose rates. According to the results, µ/ρ of all epoxy samples scored higher than standard concrete. Both S2 and S3 samples having h

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Publication Date

Wed Jun 01 2011

Journal Name

Journal Of Economics And Administrative Sciences

Methods of using the periodic chart in the case of the missing values of the stable AR model (2)

جنان عباس

In this study, we investigate the behavior of the estimated spectral density function of stationary time series in the case of missing values, which are generated by the second order Autoregressive (AR (2)) model, when the error term for the AR(2) model has many of continuous distributions. The Classical and Lomb periodograms used to study the behavior of the estimated spectral density function by using the simulation.

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Publication Date

Sat Dec 31 2011

Journal Name

Al-khwarizmi Engineering Journal

Simulation of Oxygen Mass Transfer in an Internal Loop Airlift Reactor with Axial Dispersion Model

Keywords: Airlift bioreactor

reactor

dissolved oxygen

modeling

axial dispersion model

hydrodynamics

mixing

internal loop

liquid circulation velocity

gas holdup.

Mohammed A.

Ameel Mohammed

Aseel

The effect of superficial gas velocity within the range 0.01-0.164 m/s on gas holdup (overall, riser and down comer), volumetric oxygen mass transfer coefficient, liquid circulation velocity was studied in an internal loop concentric tubes airlift reactor (working volume 45 liters). It was shown that as the u_sg increases the gas holdup and also the liquid circulation velocity increase. Also it was found that increasing superficial gas velocity lead to increase the interfacial area that increases the overall oxygen mass transfer coefficient. The hydrodynamic experimental results were modeled with the available equations in the literature. The predicted data gave an acceptable accuracy with the empirical data.

The final

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Publication Date

Sat Oct 27 2018

Journal Name

Journal Of Planner And Development

تأثير علاقة النمط الحضري مع النموذج المعماري في تكاملية البنية الشكلية للمراكز الحضرية

النمط الحضري

النموذج المعماري

البنية الشكلية الحضرية

تكاملية البنية الشكلية

Urban pattern

architectural model

urban formal structure

formal structure integration

محمد كريم

خنساء غازي

هناك عوامل عديدة تؤثر في البنية الشكلية للم ا ركز الحضرية التي تشهد تحولات وبصورة مستمرة ومع
توسع المدينة ونموها تفقد هذه الم ا ركز لمقومات بنيتها الحضرية المتكاملة بسبب تلك التحولات الحاصلة
ضمنه وبصورة ديناميكية من اضافات وتغيرات في النمط الحضري الذي يتشكل من عدة نماذج معمارية
جديدة مؤثرة ولأجل ذلك جاء البحث لايضاح اثر هذه العلاقة بين النمط الحضري والنموذج المعماري
وتحولاته في تكاملية البنية ا

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Publication Date

Sun Feb 03 2019

Journal Name

Iraqi Journal Of Physics

Microscopic effective charges and quadrupole moments of sd-shell and sd-pf cross-shell nuclei with Z≥13

Effective charges and quadrupole moments of sd- and sdpf-shell isotopes (Z≥13): sd and sdpf- shell model

core-polarization effects.

A. H.

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Publication Date

Thu Feb 01 2018

Journal Name

Journal Of Economics And Administrative Sciences

Evaluation of Common Stocks Using The Fama-French Five Factor Model An Applied Study in The Iraq Stock Exchange

: Fama and French Five Factor Model

Beta Coefficient

Size or Volume Factor

Book Value/ Market Value Factor

Profitability Factor

Investment Factor

شذى عبد الحسين

زينب باسم

The process of stocks evaluating considered as a one of challenges for the financial analysis, since the evaluating focuses on define the current value for the cash flows which the shareholders expected to have. Due to the importance of this subject, the current research aims to choose Fama & French five factors Model to evaluate the common stocks to define the Model accuracy in Fama& French for 2014. It has been used factors of volume, book value to market value, Profitability and investment, in addition to Beta coefficient which used in capital assets pricing Model as a scale for Fama & French five factors Model. The research sample included 11 banks listed in Iraq stock market which have me

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Publication Date

Mon Nov 11 2019

Journal Name

Spe

Modeling Rate of Penetration using Artificial Intelligent System and Multiple Regression Analysis

neural network

strength

machine learning

ROP prediction

Upstream Oil & Gas

prediction

ANN model

input parameter

multiple regression analysis

artificial neural network

Farqad

Hassan

Ethar

Abstract<p>Over the years, the prediction of penetration rate (ROP) has played a key rule for drilling engineers due it is effect on the optimization of various parameters that related to substantial cost saving. Many researchers have continually worked to optimize penetration rate. A major issue with most published studies is that there is no simple model currently available to guarantee the ROP prediction.</p><p>The main objective of this study is to further improve ROP prediction using two predictive methods, multiple regression analysis (MRA) and artificial neural networks (ANNs). A field case in SE Iraq was conducted to predict the ROP from a large number of parame</p> ... Show More

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Publication Date

Sat Oct 01 2016

Journal Name

Journal Of Theoretical And Applied Information Technology

Factors affecting global virtual teams’ performance in software projects

Today the trend is to perform software development work via distributed geographical area among team

individual or even as an organization. However

due to the global market and international presence of many companies

there is a need to implement a global virtual teams. The global virtual team members are gradually engaged in globalized business environments across space

time and organizational boundaries via information and communication technologies. A global virtual team relies on communication

collaboration

and information exchange are the most important criteria in global virtual teams’ operations. The purpose of this paper is to answer two research questions. The first research question is to identify the factors affecting global virtual teams’ performance. A systematic literature review was conducted to answer the first research question. The second research question is on what the rank of the factor affecting the global virtual teams’ performance according to their level of effect on global virtual teams’ performance. Online survey was conducted within 103 developers and IT managers from eight IT companies to answer the second research question. The Statistical Package for Social Science (SPSS 22) was used to analyze the collected data. In this study

we investigated factors that affect global virtual teams’ performance

factors considered include cultural differences

language problems

time-zone differences

team size

technical problems

lack of trust

lack of sufficient training

and ICT problems. Also the findings indicated that lack of sufficient training is the highest level of effect on global virtual teams’ performance. On the other hand

Ali Yahya Gheni

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Publication Date

Sun Jun 20 2021

Journal Name

Baghdad Science Journal

Comparison of Some of Estimation methods of Stress-Strength Model: R = P(Y < X < Z)

Stress-Strength Model

Inverse Rayleigh Distribution

Least Square Estimator

Maximum Likelihood Method Estimator

Moment method

Uniformly Minimum Variance Unbiased Method

Shrinkage Methods.

Sairan Hamza

Bayda Atiya

Abbas Najim

In this study, the stress-strength model R = P(Y < X < Z) is discussed as an important parts of reliability system by assuming that the random variables follow Invers Rayleigh Distribution. Some traditional estimation methods are used to estimate the parameters namely; Maximum Likelihood, Moment method, and Uniformly Minimum Variance Unbiased estimator and Shrinkage estimator using three types of shrinkage weight factors. As well as, Monte Carlo simulation are used to compare the estimation methods based on mean squared error criteria.

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