American Journal of Industrial Engineering

ISSN (Print): 2377-4320

ISSN (Online): 2377-4339

Editor-in-Chief: Ajay Verma




Opportunities, Priorities and Challenges for the Industrial Development of the Bushehr Province, from the Perspective of Experts, Professionals and Industrialists of Bushehr

1MA in Educational Administration, Islamic Azad University, Bushehr Branch, Bushehr, Iran

American Journal of Industrial Engineering. 2016, 4(1), 1-6
doi: 10.12691/ajie-4-1-1
Copyright © 2016 Science and Education Publishing

Cite this paper:
Rokhsareh Rafat. Opportunities, Priorities and Challenges for the Industrial Development of the Bushehr Province, from the Perspective of Experts, Professionals and Industrialists of Bushehr. American Journal of Industrial Engineering. 2016; 4(1):1-6. doi: 10.12691/ajie-4-1-1.

Correspondence to: Rokhsareh  Rafat, MA in Educational Administration, Islamic Azad University, Bushehr Branch, Bushehr, Iran. Email:


This study aimed to examine opportunities, priorities, and challenges for this province's industrial development from the perspective of experts, professionals and industrialists of Bushehr. To achieve this objective, descriptive and survey methodology and researcher-made questionnaire have been used that the reliability of the questionnaire is 0.80, based on the test of Cronbach's alpha. The statistical population consists of 731 experts, industrialists and the industry experts that based on the formula to determine sample size, 288 people were randomly selected. After analyzing the data, the main purpose of this study was to determine opportunities and priorities, and challenges faced byte province's industrial development from the perspective of experts, professionals and industrialists in Bushehr province, the following results were obtained from all respondents’ standpoint: The most important opportunities of province's industrial development frequency: 1) the potential capacity of the province in the field of communication and transport, 2) unique geographical location of the province, 3) efficient and capable human resources, 4) the potential capacity of investment attraction and small industries, 5) rich reserves of natural resources. The most important challenges facing the province's industrial development: 1) lack of financial support from industry, banks, 2) legal and administrative problems, 3) business problems, 4) a delay in the construction, completion and inappropriate deployment of industrial projects, and the most important priorities faced by industrial development of province include: 1) maritime industry, 2) industries related to fisheries, 3) industry related to palms gardens, 4) the petrochemical industry.



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Machine Selection by AHP and TOPSIS Methods

1Department of Industrial and Production Engineering, Jessore University of Science and Technology, Bangladesh

2Department of Industrial and Production Engineering, Jessore University of Science & Technology, Jessore, Bangladesh

American Journal of Industrial Engineering. 2016, 4(1), 7-13
doi: 10.12691/ajie-4-1-2
Copyright © 2016 Science and Education Publishing

Cite this paper:
Rubayet Karim, C. L Karmaker. Machine Selection by AHP and TOPSIS Methods. American Journal of Industrial Engineering. 2016; 4(1):7-13. doi: 10.12691/ajie-4-1-2.

Correspondence to: Rubayet  Karim, Department of Industrial and Production Engineering, Jessore University of Science and Technology, Bangladesh. Email:


Selection of the most suitable machine is very crucial in the modern economy to prompt production level as well as revenue generation. In order to endure in the global business scenario, companies must find out the proper way that leads to the successful production environment. Machine selection has become challenging as the number of alternatives and conflicting criteria increase. A decision support system has been developed in this research in machine evaluation process. This framework will act as a guide for decision makers to select the suitable machine via an integrated approach of AHP & TOPSIS. The anticipated methods in this research consist of two steps at its core. In the first step, the criteria of the existing problem are inspected and identified and then the weights of the sector and sub-sector are determined that have come to light by using AHP. In the second step, eligible alternatives are ranked by using TOPSIS. A demonstration of the application of these methodologies in a real life problem is presented.



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The Accuracy Degree of CFD Turbulence Models for Butterfly Valve Flow Coefficient Prediction

1GUPCO - Gulf of Suez Petroleum Co., 270 Palestine St. 4th Sector, New Maadi, Cairo, Egypt

2Mechanical Power Engineering Department, Faculty of Engineering, Mansoura University, El-Mansoura 35516, Egypt

American Journal of Industrial Engineering. 2016, 4(1), 14-20
doi: 10.12691/ajie-4-1-3
Copyright © 2016 Science and Education Publishing

Cite this paper:
Mohammed M. Said, Hossam S.S. AbdelMeguid, Lotfy H. Rabie. The Accuracy Degree of CFD Turbulence Models for Butterfly Valve Flow Coefficient Prediction. American Journal of Industrial Engineering. 2016; 4(1):14-20. doi: 10.12691/ajie-4-1-3.

Correspondence to: Mohammed  M. Said, GUPCO - Gulf of Suez Petroleum Co., 270 Palestine St. 4th Sector, New Maadi, Cairo, Egypt. Email:


Although engineers are mainly interested in the prediction of mean flow behavior, the turbulence cannot be ignored, because the fluctuations give rise to the extra Reynolds stresses on the mean flow. These extra stresses must be modeled in commercial CFD by selecting convenient turbulence model. The flow inside the control valve is complex and the control valves performance is precisely evaluated by determining the valve coefficient named, flow coefficient. Hence, aim of the present study is to investigate the effect of turbulence model type on the solution accuracy for the valve disk angles 40° and 60° as well as to implement the degree of agreement between experimental and numerical results. The numerical verification has been investigated by FLUENT 6.3 and the valve is meshed by GAMBIT 2. The mesh independent test has been carried out only by standard k-ε to evaluate the mesh effectiveness and attain the best accuracy. Among from these several turbulence models which have been studied here are standard k-ε, realized k-ε, k-ω, and RSM. Butterfly valve, STC model and (DN 50) diameter is chosen to be the test specimen in this research. The results showed that, there is no general turbulent model that can deal successfully with all cases. Numerical and experimental results are in general in good agreement, however are different in details, and showed that, RSM model is the most efficient numerical solver when applied to butterfly valve flow coefficient evaluation. For the future, a significant amount of work still needs to be undertaken in experimental unsteady butterfly valve flow analysis with RSM numerical model.



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