eng
Research Expansion Alliance (REA) on behalf of Ayandegan Institute of Higher Education
Journal of Applied Research on Industrial Engineering
2538-5100
2676-6167
2014-09-01
1
3
130
135
43037
Investigationof Project Communication Managementin Project-BasedOrganizations using the PMBOK Guideline
Fatemeh Jaferi
fatemeh.jaferi@gmail.com
1
Seyed Mojtaba Sajadi
msajadi@ut.ac.ir
2
Mehdi Alinaghian
alinaghian@cc.iut.ac.ir
3
Moslem Beyranvand
4
Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Isfahan, Iran
Assistant Professor, Faculty of Entrepreneurship, University of Tehran, Iran
Department of Industrial and Systems Engineering, Isfahan University of Technology, 84156-83111 Isfahan, Iran
MA in Industrial Engineering, Master of System Analysis, lorestan Gas Company, Khorramabad, Iran
Efficient use of limited resources is among the objectives of efficient management and employing modern techniques of management is very effective in this field. Communications management is quite important in project-oriented organizations. PMBOK guideline is a good guideline to create efficient and effective communication. In this paper the application of communication management field of PMBOK guideline has been presented in projects processes of a project-oriented organization for effective communications management. To better understand the concepts, processes associated with projects in Lorestan province Gas Company have been employed as a project organization. The methodology includes three steps of data collection through interviews with relevant personnel, identification of processes and processes analysis based on Communications Management field of PMBOK guideline. Additional and unnecessary information turnover in the processes has been identified and removed. The results showed that creating correct communication in an organization will eliminate many of the existing delays in the processes. Also the results showed that communications management improvement leads to the improvement in all knowledge fields of PMBOK guideline in an organization, resultinginreducedtime andcost, efficient use oflimited resourcesand increased efficiencyand viabilityofthe organization.
https://www.journal-aprie.com/article_43037_03894dbdacff8752b0de864878577bb2.pdf
Communication Management
PMBOK project management guideline
project
organization
eng
Research Expansion Alliance (REA) on behalf of Ayandegan Institute of Higher Education
Journal of Applied Research on Industrial Engineering
2538-5100
2676-6167
2014-09-01
1
3
136
147
43044
An Integrated Model for Decision-making under Uncertainty and Risk to Select Appropriate Strategy for a Company
Somayeh Hosseini Nogourani
s.hosseini93@sin.iaun.ac.ir
1
Iraj Soltani
i_soltani@msc.ir
2
Mehdi Karbasian
mkarbasian@yahoo.com
3
Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Isfahan, Iran
Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Isfahan, Iran
Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Iran
Recognition and select appropriate strategies to improve the condition of organizations in the eve of the crisis is important. Due to proper planning horizons in strategy-focused organizations, risk and decision making under uncertainty is greatly reduced. Therefore, it's necessary to specification and characterization the relationship between strategic management and risk management and select the best strategy of it. Accordingly, in this paper to demonstrate a direct correlation between the results of managerial strategic decision making and environmental analysis of organizations to find its strategic condition is used compilation model that both of them in order to inappropriate condition of organization are for selection the best option. The strategic areas identified by analyzing the internal and external environment of the organization, which includes the recognition of strengths, weaknesses, opportunities and threats with the help of SWOT Matrix. Finally, based on the criteria and methods of Wald classical approaches, Hurwicz, Maximax, Savage, Laplace, mean-variance decisions are based on expectations, the most likely conditions, Expected Opportunity Loss (EOL), the cost of uncertainty, the coefficient of variation and limits of responsibility, two strategies are determined by the choice of strategies. Also research has been conducted in Epic Arya Carton and the results are presented.
https://www.journal-aprie.com/article_43044_ba7162286bf5743c00bae92ed8720894.pdf
strategic management
Decision-making
Unreliability
risk
SWOT
eng
Research Expansion Alliance (REA) on behalf of Ayandegan Institute of Higher Education
Journal of Applied Research on Industrial Engineering
2538-5100
2676-6167
2014-09-01
1
3
148
158
43048
Optimization of Order Quantity for Multi-Product from Multi-Supplier with Discounted Prices
Seyed Mahdi Homayouni
homayouni@iauln.ac.ir
1
Ali Izadi
2
Mohammadreza Vasili
reza.vasili@hotmail.com
3
Department of Industrial Engineering, Lenjan Branch, Islamic Azad University, Isfahan, Iran
Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Isfahan, Iran
Department of Industrial Engineering, Lenjan Branch, Islamic Azad University, Isfahan, Iran
Many researches in inventory control area of knowledge have been focused on single objective and multi-objective problem of determining the economic quantity of order. In single objective problems, costs were considered as the objective. However, multi-objective problems have not been well investigated. For instance, there are no hint to transportation cost, budget, or holding costs, or only capacity and demand constraints have been considered in these researches. This study focuses on developing a model accompanied by costs, quality and the time of delivery.The economic order quantity of multi-product from multi-supplier in multi-period under uncertainty in demand and discounted prices are considered in this paper. In first step, a mathematical model is developed for this problem. This mathematical model is solved by using multi-objective optimization method i.e. goal programming. Then, a meta-heuristic method based on multi-objective particle swarm optimization is proposed. Results of the small size numerical examples show that solutions found by using the proposed meta-heuristic method are in average, 5% worse than solutions found by using the mathematical methods; however, it needs much lower computational time.
https://www.journal-aprie.com/article_43048_a3b2d4e07540470c2d53e1e65ec25158.pdf
Economic order quantity
Discounted price
Multi-objective Particle swarm optimization
eng
Research Expansion Alliance (REA) on behalf of Ayandegan Institute of Higher Education
Journal of Applied Research on Industrial Engineering
2538-5100
2676-6167
2014-09-01
1
3
159
179
43050
Football Match Results Prediction Using Artificial Neural Networks; The Case of Iran Pro League
S. Mohammad Arabzad
1
Mohamad Tayebi Araghi
tayebi_m@yahoo.com
2
S. Sadi-Nezhad
3
Nooshin Ghofrani
4
Department of Industrial Engineering, Tehran Science and Research Branch, Azad Islamic University,Iran
Department of Industrial Engineering, Tehran Science and Research Branch, Azad Islamic University, Iran.
Department of Industrial Engineering, Tehran Science and Research Branch, Azad Islamic University,Iran
Department of management, Research Institute of ShakhesPajouh, University of Isfahan, Iran
Predicting the results of sports matches is interesting to many, from fans to punters. It is also interesting as a research problem, in part due to its difficulty, because the result of a sports match is dependent on many factors, such as the morale of a team (or a player), skills, current score, etc. So even for sports experts, it is very hard to predict the exact results of sports matches. This research discusses using a machine learning approach, Artificial Neural Networks (ANNs), to predict the outcomes of one week, specifically applied to the Iran Pro League (IPL) 2013-2014 football matches. The data obtained from the past matches in the seven last leagues are used to make better predictions for the future matches. Results showed that neural networks have a remarkable ability to predict the results of football match results.
https://www.journal-aprie.com/article_43050_3a948ff1c96f37f39f16ec113decc317.pdf
prediction
Sport Science
Football match results
Artificial neural networks (ANNs)
Iran Pro League
eng
Research Expansion Alliance (REA) on behalf of Ayandegan Institute of Higher Education
Journal of Applied Research on Industrial Engineering
2538-5100
2676-6167
2014-09-01
1
3
180
197
43053
A bi-objective mathematical model for designing the closed-loop supply chain network with disruption in production centers
Farhad Yazdani
f.yazdani@sin.iaun.ac.ir
1
Reza Tavakkoli Moghadam
tavakoli@ut.ac.ir
2
Mehdi Bashiri
bashiri@shahed.ac.ir
3
Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Isfahan, Iran
School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran.
Department of Industrial Engineering, Faculty of Engineering, Shahed University, Tehran, Iran
In recent years, reverse logistics has received more attention by researchers due to governmental regulations, environmental issues and social responsibilities. This paper deals with the design of a multi-product closed-loop supply chain network, in which some production centers experience minor and general disruptions. The proposed network has three levels in the forward direction (i.e., suppliers, plants and distributors) and three levels in the reverse direction (i.e., collection centers, redistribution and disposal). Initially, plants prepare their needed raw materials from the suppliers; after production in plants, the final products are delivered to customers through distribution centers, percentage of these products are collected from customers by collecting centers. In the collection centers, the percentage of products is returned to manufacturing factories for recycling, percentage of them is sent to redistribution centers for sale to secondary customers, and the percentage that does not possess any capability of the cited items will be sent to disposal centers. The mathematical model presented in this study is a bi-objective mixed-integer nonlinear model while maximizing the profit, the delivery time to customers will be minimized. For validation of the model, a numerical example is provided by Pareto curve, in which the profit is versus the time.
https://www.journal-aprie.com/article_43053_ce2ca80c6f8c7ed061932e71934135d7.pdf
Bi-objective model
Closed-loop supply chain network
Facility disruptions