eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2017-05-01
30
5
627
635
72929
Optimization of Time, Cost, and Quality in Critical Chain Method Using Simulated Annealing (RESEARCH NOTE)
M. J. Taheri Amiri
jvd.taheri@gmail.com
1
F. R. Haghighi
haghighi@nit.ac.ir
2
E. Eshtehardian
eshtehardian@modarres.ac.ir
3
O. Abessi
oabessi@nit.ac.ir
4
Department of Construction Engineering and Management, Babol Noshirvani University of Technology, Babol, Iran
Department of Civil Engineering, Babol Noshirvani University of Technology, Babol, Iran
Department of Project and Construction Management, Tarbiat Modares University, Tehran, Iran
Department of Civil Engineering, Babol Noshirvani University of Technology, Babol, Iran
In the last decade, theory of constraint application in project management lead to make a new approach for project scheduling and control as a critical chain. In this paper, a multi-objective optimization model for multi-project scheduling on critical chain is investigated. The objectives include time, cost and quality. In order to solve the problem, a Simulated Annealing algorithm is developed and then analyzed to investigate the effect of each objectives. The number of activities in each project is not considered the same. Time, cost and quality value are calculated by solving the proposed algorithm and then the total utility amount is obtained. Sensitivity analysis is performed based on various amount of each objective weights. Then the effect of objectives weight variation is investigated on utility function value. In addition the results show that the proposed algorithm are able to solve problem optimally in large scale.
https://www.ije.ir/article_72929_3380dafb6734c7071f166d63861299b9.pdf
multi objective
Multi project scheduling
Critical chain
Simulated Annealing
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2017-05-01
30
5
636
642
72930
Eco-friendly Blocks by Blended Materials
V. Sai Giridhar Reddy
giridharreddy.ce@gmail.com
1
V. Ranga Rao
2
Department of Civil Engineering, KL University, Guntur, Andhra Pradesh, India
Department of Civil Engineering, KL University, Guntur, Andhra Pradesh, India
In spite of broad improvements in construction technology, cement is still stayed as binding material for construction purposes. Cement industries are the main sources for the contribution of carbon dioxide (co2) into the atmosphere. So, there is a need to use new materials as binders (green binders) in substitute for cement, which leads to reducing the production of cement. In this study, fly ash and ground granulated blast furnace slag (GGBS) are used as source materials. Since fly ash and GGBS are industrial wastages which are non-renewable in nature, quarry dust is used as the partial replacement that is 50% in weight with fine aggregate. Soluble activators like Sodium hydroxide (NaOH) and Sodium silicate (Na2SiO3) of 12M are used instead of water in the ratio of 1:2.5. Different mix proportions are considered in this study such as F80G20, F70G30 and F60G40. These mix proportion results were compared with conventional concrete of M20. The results were drawn for different strength tests such are Compressive strength test, Split Tensile strength test and Flexural strength test. From the results it is concluded that F60G40 mix has high Compressive strength, Split Tensile strength and Flexural strength compared to remaining mixes along with conventional concrete.
https://www.ije.ir/article_72930_5d5e5e8fbf194066279fcba74911d74a.pdf
Fly ash
GGBS
Quarry dust
Soluble Activators
Ambient Curing
Green binders
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2017-05-01
30
5
643
651
72931
A Document Weighted Approach for Gender and Age Prediction Based on Term Weight Measure
T. Raghunadha Reddy
raghu.sas@gmail.com
1
B. Vishnu Vardhan
mailvishnu@yahoo.com
2
P. Vijayapal Reddy
drpvijayapalreddy@gmail.com
3
Department of Information Technology,Vardhaman College of Engineering, Hyderabad, Telangana, India
Department of Computer Science and Engineering, JNTUH College of Engineering, Jagtiyal, Karimnagar, Telangana, India
Department of Computer Science and Engineering, Matrusri Engineering college, Hyderabad, Telangana, India
Author profiling is a text classification technique, which is used to predict the profiles of unknown text by analyzing their writing styles. Author profiles are the characteristics of the authors like gender, age, nativity language, country and educational background. The existing approaches for Author Profiling suffered from problems like high dimensionality of features and fail to capture the relationship between the features. In this work, a new document weighted approach is proposed in order to address the problems in existing approaches. In this approach, the term weight measure is used to assign suitable weight to the terms and these term weights are aggregated to compute the document weight. The classification model is generated with these document weights for predicting profiles of the text. The proposed approach and existing approaches are experimented on reviews domain with different classifiers. The accuracies of the proposed approach for gender and age prediction are promising than existing approaches.
https://www.ije.ir/article_72931_ca4bd1a3e5df60ac0d6eaf35b7b9a51a.pdf
Author Profiling
Gender prediction
Age prediction
Term weight
Document weight
classifiers
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2017-05-01
30
5
652
658
72932
Estimation of Roughness Parameters of A Surface Using Different Image Enhancement Techniques (TECHNICAL NOTE)
J. Bhaskara Rao
janabhaskar@gmail.com
1
J. Beatrice Seventline
samsandra2003@yahoo.com
2
ECE Department, Anil Neerukonda Institute of Technology& Sciences, Visakhapatnam, India
ECE Department, GITAM University, Visakhapatnam, India
Surface roughness measurement is widely used to estimate the quality of the product during manufacturing processes. It has a great importance in manufacturing fields such as ceramic tiles, glass, and iron. Many are using surface profile-meter with a contact stylus to measure the surface roughness of work piece. In the stylus method, a stylus is moved along the surface and the vertical movement of the stylus is recorded to measure surface roughness. This method has the disadvantage that work piece surface may damage due to direct contact between the surface and the stylus. In this paper, we propose a novel technique to find the roughness parameters of a surface by using image processing techniques like Contrast stretching and Bi-cubic interpolation techniques of image enhancement. In these techniques, firstly the surface image of the work pieces is acquired using the digital camera and it is pre-processed in order to remove noise and then image enhancement is done followed by parameters analysis. The roughness parameters such as average surface roughness (Ra), Maximum valley profile depth (Rv (Valley)), Highest peak (Rp (Peak)), Root-mean-square (rms) roughness (Rq (rms)) were determined using above techniques. The results obtained by the both methods are tabulated and compared.
https://www.ije.ir/article_72932_ccfa8517f74c9f6a3cbb9b66776aa4d5.pdf
Surface roughness
Wiener filter
Contrast stretching
Adaptive Median filter
Bi
cubic Interpolation
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2017-05-01
30
5
659
667
72933
A New Hybrid Framework for Filter based Feature Selection using Information Gain and Symmetric Uncertainty (TECHNICAL NOTE)
P. Kalpana
parasuramankalpana@gmail.com
1
K. Mani
2
Department of Computer Science, Nehru Memorial College, Puthanampatti, Tiruchirappalli-Dt,Tamil Nadu, India
Department of Computer Science, Nehru Memorial College, Puthanampatti, Tiruchirappalli-Dt,Tamil Nadu, India
Feature selection is a pre-processing technique used for eliminating the irrelevant and redundant features which results in enhancing the performance of the classifiers. When a dataset contains more irrelevant and redundant features, it fails to increase the accuracy and also reduces the performance of the classifiers. To avoid them, this paper presents a new hybrid feature selection method using information gain and symmetric uncertainty. The proposed work uses median based discretization for converting the quantitative features into qualitative one, information gain in finding the relevant features and symmetric uncertainty to remove the redundant features. As the proposed work uses both relevance and redundant analyses the predictive accuracy of the Naive Bayesian classifier has been improved. Further the efficiency and effectiveness of the proposed methodology is analyzed by comparing with other existing methods using real-world datasets of high dimensionality.
https://www.ije.ir/article_72933_69824ec4fa26406abe12042c6cacbf2a.pdf
Irrelevant
Redundant
Median Based Discretization
Information Gain
Symmetric Uncertainty
accuracy
Naive Bayesian Classifier
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2017-05-01
30
5
668
677
72934
Optimal Design of a Brushless DC Motor, by Cuckoo Optimization Algorithm (RESEARCH NOTE)
M. Niaz Azari
miladniazazari@mazust.ac.ir
1
M. Samami
mehdisamami63@gmail.com
2
S. M. Abedi Pahnekollaei
m.abedi.p@gmail.com
3
Department of Electrical Engineering, University of Science and Technology of Mazandaran, Behshahr, Iran
Department of Electrical Engineering, Sari Branch, Islamic Azad University, Sari, Iran
Department of Electrical Engineering, Sari Branch, Islamic Azad University, Sari, Iran
This contribution deals with an optimal design of a brushless DC motor, using optimization algorithms, based on collective intelligence. For this purpose, the case study motor is perfectly explained and its significant specifications are obtained as functions of the motor geometric parameters. In fact, the geometric parameters of the motor are considered as optimization variables. Then, the objective function has been defined. This function consists of three terms i.e. losses, construction cost and the volume of the motor which should be minimized simultaneously. Three algorithms i.e. cuckoo, genetic and particle swarm have been studied in this paper. It is noteworthy that, cuckoo optimization algorithm has been used for the first time for brushless DC motor design optimization. A comparative study between the mentioned optimization approaches shows that, cuckoo optimization algorithm has been converged to optimal response in less than 250 iterations and its standard deviation is , while the convergence rate of the genetic and particle swarm algorithms are about 400 and 450 with standard deviations of and , respectively for the case study motor. The obtained results show the best performance for cuckoo optimization algorithm among all mentioned algorithms in brushless DC motor design optimization.
https://www.ije.ir/article_72934_f88406cd42de8a1e3c0f12465df5343e.pdf
BLDC motor
Cuckoo Algorithm
Objective Function
Optimal motor design
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2017-05-01
30
5
678
683
72935
Investigation of Charged Particles Radiation Moving in a Homogeneous Dispersive Medium (TECHNICAL NOTE)
A. Dehzangi
arash.dehzangi@northwestern.edu
1
A. R. Ghaffari
alirezaghafari@yahoo.com
2
S. Kakooei
3
M. Ghasemi
ghasemi.masih61@gmail.com
4
F. Saadati
farzaneh.saadati@ciae.uchile.cl
5
H. Soleimani
hassan.soleimani@utp.edu.my
6
Center for Quantum Devices, Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, Illinois, USA
Department of Physics, Arsanjan Branch, Islamic Azad University, Arsanjan, Fars, Iran
Mechanical Engineering Department, Universiti Teknologi PETROPNAS, Malaysia
Institute of Microengineering and Nanoelectronics (IMEN), Universiti Kebangsaan Malaysia, Selangor, Malaysia
Center for Advanced Research in Education (CIAE), University of Chile, Santiago, Chile
Fundamental & Applied Sciences Department, Universiti Teknologi PETROPNAS, Malaysia
In this work, we use Drude-Lorents model description to study the radiation of a charged particles moving in a homogeneous dispersive medium. A suitable quantized electromagnetic field for such medium is utilized to obtain proper equations for energy loss of the particle per unit length. The energy loss is separately calculated for transverse and longitudinal components of the filed operators. The calculations show that the longitudinal component of the field operators contributes in electron radiation, when dielectric function is exceedingly dependent on the frequency. It is also shown that when the dispersion is not included, the obtained equations are in a good agreement with previous results. For negligible dispersion, the contribution of the field’s longitudinal component tends to zero and at the end the results are in agreement with Ginsberg’s calculations. This calculation can reveal a development for the fields’ quantization for permeable dielectric background medium.
https://www.ije.ir/article_72935_cc108c3745ff579c64fe77ada88ddb06.pdf
Cherenkov radiation
Quantum computing
Drude
Lorents model
homogeneous dispersive medium
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2017-05-01
30
5
684
690
72936
Aniline Degradation Using Advanced Oxidation Process by UV/Peroxy Disulfate from Aqueous Solution
J. Mohamadiyan
mohammadian_jalal@yahoo.com
1
G. Shams- khoramabadi
b.kamarehee@gmail.com
2
S. A. Mousavi
seyyedarm@yahoo.com
3
B. Kamarehie
b.kamarehie@gmail.com
4
Y. Dadban Shahamat
ydadban@gmail.com
5
H. Godini
godini.h@yahoo.com
6
Department of Environment Health, School of Health and Nutrition, Lorestan University of Medical Sciences, Khorramabad, Iran
Nutrition Health Research Center, Department of Environment Health, School of Health and Nutrition, Lorestan University of Medical Sciences, Khorramabad, Iran
Department of Environmental Health, School of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
Nutrition Health Research Center, Department of Environment Health, School of Health and Nutrition, Lorestan University of Medical Sciences, Khorramabad, Iran
Environmental Health Research Center, Golestan University of Medical Sciences,Gorgan, Iran
Department of Environmental Health, School of Health, Alborz University of Medical Sciences, Karaj, Iran
This study is focused on removing toxic aniline from aqueous solutions using advanced oxidation process by UV/ peroxy disulfate. In this study, the effect of various parameters including pH (3-9), the level of radiation (ultraviolet 30 watt lamp, number 2-5), peroxy disulfate dose (0.02 – 0.08 mol/l) and the initial concentration (20 – 100 mg/l) at different contact times (10 – 60 min) on the efficiency of aniline removal in a laboratory reactor with UV lamps and in a batch mode, was studied. The results of this study showed that the efficiency of removing aniline decreased by increasing and decreasing pH from 5 (maximum efficiency = 66.6%, at pH= 5) and also by increasing the concentration of pollutant. But by increasing the amount of radiation and peroxy disulfate dosage (0.02 to 0.08 mol/l, the process efficiencies will be 46 to 82.8% after 60 min, respectively), the efficiency increased. The efficiency of removing aniline in the combined process of UV/peroxy disulfate increased significantly by using peroxy disulfate and UV, individually (96%). In the process, the efficiency of removing aniline from aqueous solution was due to the production of UV effect on Peroxy disulfate and the production of strong oxidizing radicals. Therefore, due to the high performance and low cost raw materials, this process can be used for removing resistant compounds from industrial sewages.
https://www.ije.ir/article_72936_b3e6376aa53e533a10fb8ffa84661e0e.pdf
aniline
Peroxydisulfate
Ultraviolet
degradation
Advanced oxidation
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2017-05-01
30
5
691
699
72937
Identification of the Patient Requirements Using Lean Six Sigma and Data Mining
K. Khlie
k.khaoula40@gmail.com
1
A. Abouabdellah
a.abouabdellah2013@gmail.com
2
Industrial Engineering Laboratory, Modelling and Optimization of Industrial and Logistical Systems (MOSIL), ENSA, Ibn Tofail University, Kenitra, Morocco
Industrial Engineering Laboratory, Modelling and Optimization of Industrial and Logistical Systems (MOSIL), ENSA, Ibn Tofail University, Kenitra, Morocco
Lean health care is one of new managing approaches putting the patient at the core of each change. Lean construction is based on visualization for understanding and prioritizing imporvments. By using only visualization techniques, so much important information could be missed. In order to prioritize and select improvements, it’s essential to integrate new analysis tools to achieve a good understanding of what the value is for the patient, analyze their requirements/expectations/needs and prioritize them in light of strong evidences and detailed measures. In that perspective, this paper intends to integrate lean thinking, data mining and six sigma improvement process methods with the goal to develop a lean health care driving methodology. The proposed methodology allows a better understanding of the patient perception of quality based on a Kano questionnaire. Questionnaire results are then analyzed using data mining tools to extract useful information. Finally, six sigma approach is followed to improve the quality of health care services and maximize the patient satisfaction. The main outcome of the study is that the first priority concerns the availability of physicians and health products, followed by the reduction of waiting time and minimization of errors related to prescriptions and diagnostics. The use of the six sigma approach on the medication circuit allows improving those three criteria.
https://www.ije.ir/article_72937_bcc91fbac8607f5d66eaa3814152e16c.pdf
Healthcare service
Lean
Data mining
Kano model
Questionnaire
Public Hospital
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2017-05-01
30
5
700
709
72938
Coordinating Order Acceptance and Batch Delivery for an Integrated Supply Chain Scheduling
A. Noroozi
amir_noroozie@iust.ac.ir
1
M. Mahdavi Mazdeh
mazdeh@iust.ac.ir
2
M. Rasti-Barzoki
rasti@cc.iut.ac.ir
3
Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
Department of Industrial and Systems Engineering, Isfahan University of Technology, Isfahan, Iran
This paper develops Order Acceptance for an Integrated Production-Distribution Problem in which Batch Delivery is implemented. The aim of this problem is to coordinate: (1) rejecting some of the orders (2) production scheduling of the accepted orders and (3) batch delivery to maximize Total Net Profit. A Mixed Integer Programming is proposed for the problem. In addition, a hybrid meta-heuristic algorithm is developed. For a quick exploration around a solution, a Local search is proposed. Two simple heuristics for initial population and a heuristic for batching are proposed. Besides, data is generated to evaluate the performance of algorithms and compare with each other based on comprehensive experiments.
https://www.ije.ir/article_72938_8f47c8876b806aac9ec7ead302470114.pdf
order acceptance
Integrated Production
Distribution
Batch Delivery
Genetic Algorithm
Particle Swarm Optimization
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2017-05-01
30
5
710
719
72939
Performance Analysis of Dynamic and Static Facility Layouts in a Stochastic Environment
G. Moslemipour
ghmoslemipour@yahoo.com
1
R. Tavakkoli-Moghaddam
tavakoli@ut.ac.ir
2
Department of Industrial Engineering, Payame Noor University, Iran
School of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
In this paper, to cope with the stochastic dynamic (or multi-period) problem, two new quadratic assignment-based mathematical models corresponding to the dynamic and static approaches are developed. The product demands are presumed to be dependent uncertain variables with normal distribution having known expectation, variance, and covariance that change from one period to the next one, randomly. In the proposed models, time value of money and the decision maker’s attitude about uncertainty are also considered. The models are verified and validated by performing statistical, robustness and stability analyses carried out by using design of experiment and benchmark methods. In addition, the effect of dependency of product demands and interest rate on the total cost function of the proposed models has also been investigated. The dynamic programming algorithm, which is coded in Matlab, is used to solve the models. The main conclusions are as follows: (i) the dynamic layout behaves like static layout in the case of low facility rearrangement cost; (ii) unlike the static layout, the robustness and stability of the dynamic layout depend on the facility rearrangement cost; (iii) the decision maker’s attitude about uncertainty affects the robustness of each of the dynamic and static layouts; (iv) considering non-zero interest rate leads to increase in the total cost over the range of uncertainty; and (v) regarding both the dynamic and the static layouts, the effect of dependency of product demands on the total cost is a function of the decision maker’s defined percentile level.
https://www.ije.ir/article_72939_31f8ec0da14472b4dd955ec824099d5d.pdf
Dynamic facility layout
Quadratic assignment
Uncertainty
Dynamic programming
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2017-05-01
30
5
720
728
72940
A New Approach to Project Risk Responses Selection with Inter-dependent Risks
R. Soofifard
soofifardr@ripi.ir
1
M. Gharib
mehrdad_gharib@alumni.ut.ac.ir
2
Training and Human Resourse Development Department, Research Institute of Petroleum Industry, Tehran, Iran
Faculty of Fouman, College of Engineering, University of Tehran, Fouman, Iran
Risks are natural and inherent characteristics of major projects. Risks are usually considered independently in analysis of risk responses. However, most risks are dependent on each other and dependent risks are rare in the real world. This paper proposes a model for proper risk response selection from the responses portfolio with the purpose of optimization of defined criteria for projects. This research has taken into account the relationships between risk responses; especially the relationships between risks, which have been rarely considered in previous works. It must be pointed out that not considering or superficial evaluation of the interactions between risks and risk responses reduces the expected desirability and increases project execution costs. This model is capable of optimization of different criteria in the objective function based on the proposed projects. Multi-objective Harmony Search (MOHS) is used to solve this model and the numerical results obtained are analyzed.
https://www.ije.ir/article_72940_e2446a061fc90dfa4943813c0c5218f8.pdf
Risk interactions
Risk Response
MOHS algorithm
Project Risk Management
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2017-05-01
30
5
729
738
72941
Solving New Product Selection Problem by a New Hierarchical Group Decision-making Approach with Hesitant Fuzzy Setting
S. M. Mousavi
mousavi.sme@gmail.com
1
Department of Industrial Engineering, Faculty of Engineering, Shahed University, Tehran, Iran
Selecting the most suitable alternative under uncertainty is considered as a critical decision-making problem that affects the success of organizations. In the selection process, there are a number of assessment criteria, considered by a group of decision makers, which often could be established in a multi-level hierarchy structure. The aim of this paper is to introduce a new hierarchical multiple criteria group decision-making (HMCGDM) approach in hesitant fuzzy setting based on the concept of compromise solutions. Motivated by hesitant fuzzy sets, Hamming distance measure is utilized in the process of the proposed hierarchical method, namely HF-HMCGDM, and also hesitant fuzzy weighted averaging operator is used to aggregate the judgments of experts or decision makers. Firstly, for assessing weights of criteria, a hesitant fuzzy hierarchical weighting method is developed. To rank the possible alternatives, a new hesitant fuzzy extension of the classical compromise solution method is then proposed. Furthermore, a case study in the new product ideas problem from the recent literature is provided to illustrate the proposed HF-HMCGDM approach, and finally a comparative analysis is given to demonstrate the capability.
https://www.ije.ir/article_72941_c80c5c9554bfc128c647225e472289f4.pdf
Hesitant fuzzy sets
Hierarchical decision making
Compromise solution method
multi
criteria group decision
making
New product selection problems
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2017-05-01
30
5
739
748
72942
A New Extended Analytical Hierarchy Process Technique with Incomplete Interval-valued Information for Risk Assessment in IT Outsourcing
S. Ebrahimnezhad
saeed_ebrahimnejad@yahoo.com
1
H. Gitinavard
gitinavard@aut.ac.ir
2
S. Sohrabvandi
s.sohrabvandi998@yahoo.com
3
Department of Industrial Engineering, Karaj Branch, Islamic Azad University, Karaj, Iran
Department of Industrial Engineering and Management Systems, Amirkabir University of Technology, Tehran, Iran
Department of Productivity and System Management, Sharif University of Technology, International Campus-Kish Island, Kish, Iran
Information technology (IT) outsourcing has been recognized as a new methodology in many organizations. Yet making an appropriate decision with regard to selection and use of these methodologies may impose uncertainties and risks. Estimating the occurrence probability of risks and their impacts organizations goals may reduce their threats. In this study, an extended analytical hierarchical process method is tailored based on interval-valued hesitant fuzzy information to assess the risks in IT outsourcing. In the proposed approach, the weight of each decision maker is implemented in process of the proposed method by considering the concept of simple additive weighting method to decrease the judgment errors. In addition, the opinions of each decision maker about the risks of IT outsourcing under the conflicted attributes are aggregated in final step of the proposed procedure to reduce the data loss. Indeed, this paper proposes a new extended interval-valued hesitant fuzzy final aggregation analytical hierarchical process by considering the decision makers' importance. Finally, an adopted case study in ISACO corporation as the largest spare parts deliverer in Iran is considered to indicate the process implementation of the proposed approach. In this respect, the risks and their factors in the domain of IT outsourcing are identified based on experts’ judgments. Therefore, the achieved ranking results indicate that the proposed approach could deal with group decision-making problem as a reliable manner.
https://www.ije.ir/article_72942_46c438edec88856ea88d2484938a5be9.pdf
Analytical Hierarchy Process
multi
attribute group decision making problem
Interval
valued hesitant fuzzy setting
Pairwise comparisons
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2017-05-01
30
5
749
757
72943
A Scheduling Model of Flexible Manufacturing System to Reduce Waste and Earliness/Tardiness Penalties
M. Nouri Koupaei
mhrdd_nouri@yahoo.com
1
M. Mohammadi
mohammadi@khu.ac.ir
2
B. Naderi
bahman.naderi@aut.ac.ir
3
Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran
Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran
Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran
Nowadays, flexible manufacturing system (FMS) is introduced as a response to the competitive environment. Scheduling of FMS is more complex and more difficult than the other scheduling production systems. One of the main factors in scheduling of FMS is variable time of taking orders from customers, which leads to a sudden change in the manufacturing process. Also, some problems are created in production system such as waste, earliness and tardiness costs, and increase inventory. In this paper, a part of flexible manufacturing system where products are produced in two stages and in multiple repositories, is known as a bottleneck. In this study, a mathematical model for scheduling of this problem considering the limitations of the production system such as flow rate and output reservoirs, variable time order entry, waste resulting from the cessation of production, and the storage capacity of reservoirs is developed. Then, the proposed model has been solved by GAMS software. Results confirm the validity of the proposed model.
https://www.ije.ir/article_72943_3b49b3367e3934364257ecd4266e37ff.pdf
Flexible manufacturing system
Earliness and tardiness penalties
Mathematical Modeling
scheduling
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2017-05-01
30
5
758
767
72944
Developing a New Algorithm for a Utility-based Network Design Problem with Elastic Demand
S. Javanmardi
javanmardi.2020@gmail.com
1
H. Hosseini-nasab
hhn@yazd.ac.ir
2
A. Mostafaeipour
3
M. Fakhrzad
4
H. Khademizare
5
Department of Industrial Engineering, Yazd University, Yazd, Iran
Department of Industrial Engineering, Yazd University, Yazd, Iran
Department of Industrial Engineering, Yazd University, Yazd, Iran
Department of Industrial Engineering, Yazd University, Yazd, Iran
Department of Industrial Engineering, Yazd University, Yazd, Iran
Developing the infrastructures for preventing non-communicable diseases is one of the most important goals of healthcare context in recent years. In this regard, the number and capacity of preventive healthcare facilities as well as assignment of customers to facilities should be determined for each region. Besides the accessibility, the utility of customers is a determinative factor in participation of people in the offered programs. In this paper, a service network design problem is studied such that the utility function is incorporated in the objective function, and the constraints set. The travel distance is deterministic and demand elasticity results in congestion delays. After simplifying the nonlinear model, a bi-level optimization algorithm is proposed to obtain the optimal solution. Computational results assure the efficiency of the developed algorithm. Finally, the capability of the model is represented by discussing a case study of locating preventive healthcare facilities in Yazd, Iran.
https://www.ije.ir/article_72944_d3be3470460109183144eff0dd534489.pdf
Network Design Problem
Preventive healthcare
Utility
Elastic Demand
Congestion
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2017-05-01
30
5
768
774
72945
Study on the Friction of Bored Cylindrical Rubber Protrusions Sliding on Ceramic
Mahmoud M. M.
msharaief@gmail.com
1
Production Engineering and Mechanical Design Department, Faculty of Engineering, Minia University, El-Minia, Egypt
The present work aims at reducing the friction of rubber soles sliding on ceramic floorings. Fitting bored cylindrical protrusions with different diameters on rubber soles was proposed. Experiments were carried out to evaluate the performance of the proposed protrusions in increasing friction coefficient at dry and contaminated floorings. It was found that, at dry sliding, friction coefficient significantly increased up to maximum then decreased with increasing the number of holes. The highest friction values were observed for 1.5 mm diameter holes, while the lowest values were displayed by 3.0 mm diameter holes. In the presence of water on the flooring, it was shown that as the hole diameter increased, the volume of the water leaked out the contact area increased. The detergent layer formed on the contact area caused drastic friction decrease. The highest friction value did not exceed 0.13 which confirmed the severity of walking in the presence of detergent. When sand particles covered the sliding surfaces, the effect of hole diameter was much less than the number of holes. When oil contaminated the sliding surfaces, friction coefficient significantly increased at single hole protrusion. The effect of single hole was more pronounced than the effect of hole diameter due to the strong adhesion of oil into the rubber and ceramic surfaces. Water/oil contaminated ceramic flooring showed the highest friction coefficient (0.26) at single hole of 1.5 mm diameter. Further increase in the number of holes decreased friction values. Presence of sand in oil contaminated ceramic flooring did not increase the friction coefficient, where the highest value did not exceed 0.2. Sliding against water/oil dilution and sand contaminated ceramic flooring represented relatively higher friction values. Protrusions perforated by three holes of 2.5 mm diameter showed the highest friction followed by single hole of 3.0 mm diameter and four holes of 1.5 mm diameter.
https://www.ije.ir/article_72945_f0817754b2f0fbbb81e828b4e02105df.pdf
Friction coefficient
rubber cylindrical protrusions
holes
ceramic flooring
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2017-05-01
30
5
775
784
72946
Modifications to Walker-Anderson Model for Analysis of High-velocity Penetration of an Eroding Long-rod Projectile into Semi-infinite Concrete Targets
M. Zolfaghari
m-zolfaghari@araku.ac.ir
1
Department of Mechanical Engineering, Arak University, Arak, Iran
This paper presents a modified form of the Walker-Anderson (W-A) model for analyzing high velocity penetration of an eroding projectile into a concrete target in which the W-A model is improved by incorporating calculations for the plastic flow field of concrete in terms of its compressibility and strain rate sensitivity under severe pressure. With the changes to and calculations of plastic field in concrete targets, equations of penetration were rearranged. Solution of equations gives penetration depth, penetration velocity, projectile rod velocity and length of a projectile instantaneously. Results of this analysis were compared with experiments performed by authors of this paper`. Experiments were performed in order to test eroding long-rod (9≤L/d≤11) penetration into semi-infinite concrete targets at high impact velocities (650 (m/s)
https://www.ije.ir/article_72946_d4d20e0225a0ec231ab9016632506fbd.pdf
Eroding projectile
concrete resistance
Analytical model
long rod
penetration
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2017-05-01
30
5
785
790
72947
Numerical and Experimental Investigations for Design of a High Performance Micro-hydro-kinetic Turbine
A. Zahedi Nejad
ali.zahedinejad@srbiau.ac.ir
1
M. Rad
rad@sharif.edu
2
M. Khayat
mkhayat@srbiau.ac.ir
3
Department of Mechanical and Aerospace Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
Department of Mechanical Engineering, Sharif University of Technology, Tehran, Iran
Department of Mechanical and Aerospace Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
Design and manufacturing of a high performance micro-hydro-kinetic turbine is discussed in the present paper. The main goal is manufacturing an equipped experimental model of hydro-kinetic turbine with highest energy absorption from water current. A multi-shape ducted turbine comprised of a multi-part diffuser was manufactured that can be converted to many experimental models for studying various diffuser enhancing effects. Turbine's rotor included a three-blade axial propeller and a mixed six-blade propeller with high power coefficient. Simple experiments on propeller were performed for flow visualization, torque measurement and illustrating dynamic balance at high speed rotation in air and water. Important data for design and manufacturing of duct and rotor components that led to safe structure and balanced the rotor at high speed rotations were discussed. For dynamic simulation of turbine, a user-defined function was developed for ANSYS-FLUENT software that collects integration data and solves rotor's dynamic equation in one-degree of freedom motion. Many stable dynamic simulation methods for coupling with transient one-dimensional flow around one-degree of freedom propellers were proposed and the numerical results were validated against full CFD data.
https://www.ije.ir/article_72947_d4ffe3230bdfc4334798e8fa9a5e5404.pdf
Duct
Dynamic simulation
fabrication
Hydro
kinetic turbine
Propeller test
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2017-05-01
30
5
791
799
72948
Numerical and Experimental Study of Ballistic Response of Kevlar Fabric and Kevlar/Epoxy Composite
G. H. Majzoobi
gh_majzoobi@basu.ac.ir
1
F. Mohammad Zaheri
mz_faeze@yahoo.com
2
Mechanical Engineering Department , Bu-Ali Sina University, Hamedan, Iran
Mechanical Engineering Department , Bu-Ali Sina University, Hamedan, Iran
Kevlar is a type of aramid fibers which is characterized by high strength to low weight ratio. This material is widely used in bulletproof vests and helmets, in which it creates a barrier to projectiles to protect specific objectives, laminated tubes and pressure vessels, etc. In this study the ballistic behavior of Kevlar /epoxy composite and Kevlar fabric is investigated. The results showed that Kevlar fabrics were more resistant against projectiles. Tensile and punch tests revealed that although the Kevlar/Epoxy composite enjoys higher strength, undergoes lower deformation than Kevlar fabric. The results also indicated that the failure mechanism of Kevlar fabric was quite ductile whereas the presence of epoxy in Kevlar/epoxy changed the failure mechanism from ductile to brittle in the form of plugging in ballistic tests. Finally, the ballistic behavior of the Kevlar fabric was simulated by ABAQUS finite element software and the results were validated by the experiment.
https://www.ije.ir/article_72948_f29c745b02bd83da91d85487acb09dc7.pdf
Kevlar fiber
Finite element simulation
Kevlar/Epoxy
Ballistic
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2017-05-01
30
5
800
806
72949
Multi-criteria Decision Making Approach: selection of Blanking Die Material (TECHNICAL NOTE)
Sandip S. Patel
sandip.uvpce@gmail.com
1
J. M. Prajapati
drjmprajapati@gmail.com
2
Gujarat Technological University, Chandkheda, Ahmadabad, Gujarat, India
Faculty of Technology and Engineering, M. S. University, Baroda, Gujarat, India
Proper selection of material in manufacturing firms is a vital role of designer depending upon the different era of application. The material selection problem is very complex and challenging task today. Erroneous cull of material frequently leads to astronomically immense cost involution, and finally drives towards unfortunate component or product breakdown. Thus, the designer necessitates discovering and culling the felicitous materials with concrete functionalities in order to obtain the desired output with least cost involution and definite applicability. It is an intension for simple, logical and rational methods or statistical implements to direct decision makers while considering number of cull attributes and their interrelations. This paper introduce a way to work out the material selection problem by one of the most Multi-Criteria decision making (MCDM) approaches in which ranking of the best material is computed using the multi-objective optimization on the basis of ratio analysis (MOORA) method.
https://www.ije.ir/article_72949_b91fac81fd474472eac5369ee626a046.pdf
Material
attributes
Interrelation
MCDM
MOORA
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2017-05-01
30
5
807
813
72950
The Effect of TiO2 Nanoparticles on Mechanical Properties of Poly Methyl Methacrylate Nanocomposites (RESEARCH NOTE)
S. Mosalman
st_s.mosalman@urmia.ac.ir
1
S. Rashahmadi
s.rashahmadi@urmia.ac.ir
2
R. Hasanzadeh
re.hasanzadeh@urmia.ac.ir
3
Mechanical Engineering Department, Urmia University, Urmia, Iran
Mechanical Engineering Department, Urmia University, Urmia, Iran
Mechanical Engineering Department, Urmia University, Urmia, Iran
Various applications of nanocomposites were a good motivation to start a study on this wide spreading field of science. Current research is an investigation on incorporating different percentages of TiO2 nanoparticle as reinforcement to a base material which here is poly methyl methacrylate (PMMA). In this study various percentages of TiO2 (0.5, 1 and 2 wt%) were added to pure PMMA and effect of this combination on the mechanical properties of produced composite by performing several tests was investigated and compared to the base material. For producing samples, materials were compounded by melting compounding method using a twin screw extruder followed by injecting molding process. SEM images showed that almost all percentage of TiO2 nanoparticles have been mixed suitably through base matrix. Rockwell hardness R, impact and tensile tests were carried out on all specimens. Almost all of the results illustrated that combination of TiO2 nanoparticle with PMMA, improves mechanical properties of composite. The results also indicated amazing effect of TiO2 nanoparticles on improvements of impact and flexural strengths. Highest recorded impact strength showed 229% increase in samples containing 2 wt% nanoparticles compared to the base material.
https://www.ije.ir/article_72950_04812ee4f1a4a1233dd157de0928e925.pdf
PMMA
Nanocomposite
TiO2 nanoparticle
impact strength
Flexural Strength
eng
Materials and Energy Research Center
International Journal of Engineering
1025-2495
1735-9244
2017-05-01
30
5
814
820
72951
Effects of Impeller Gap on Rotor Vibration in a High Speed Centrifugal Compressor: A Numerical and Experimental Analysis (TECHNICAL NOTE)
M. K. Amirinejhad
amiri_m_2010@yahoo.com
1
M. Ranjbar
ranjbar.mehdi88@gmail.com
2
M. Karimkhany
mohsen.karimkhany@gmail.com
3
Department of Mechanical Engineering, Islamic Azad University, Bushehr, Iran
Department of Mechanical Engineering, Razi University, Kermanshah, Iran
Department of Mechanical Engineering, Shahid Beheshti University, Tehran, Iran
Centrifugal compressors produce high pressure ratio and rotate at speeds. So, a tiny unbalance can produce severe vibration. In this paper, effects of impeller gap on rotor vibration in a high speed centrifugal compressor is investigated. For this purpose, a numerical and experimental analysis are carried out. The moving reference frame method in FLUENT software is used for modeling of geometries. Then, the motion of rotation components is introduced using UDF (User-Difined-Function) writing in C++ software and Define CG Motion macro. By using cloud points, three-dimensional geometry model of blades of this compressor is prepared. Finally, two-dimensional geometry of diffuser is added to blades and the final geometry is presented. Fluid flow inside the centrifugal compressor with and without considering blades vibration is studied. The numerical and experimental analysis of power spectrum density to determine the dominant vibration frequency cause of horizontal and vertical forces exerted on the compressor is studied. Results show that the dominant frequency of vibrations of forces exerted on the compressor is in the range of 9800 Hz, that is in good agreements with those reported by earlier researchers. Also, the main reason of centrifugal compressors shaft vibration is static and dynamic unbalance in shaft and other components of the compressor. In other words, the forces exerted on compressors blades do not affect the centrifugal compressor vibration. In the numerical studies, distribution of pressure, temperature, velocity and velocity vectors at different times are studied. Horizontal and vertical forces exerted on the compressor is represented. The mass flow rate of the compressor output for different cases of A/G ratio is presented and does not depend on amplitude of vibrations.
https://www.ije.ir/article_72951_596c96b5e2e3f5fa599c170715f27997.pdf
compressor vibration
high speed compressor
rotor vibration
airflow distribution