International Journal of Innovation in Engineering
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Artificial intelligence and Machine Learning for Real-world problems (A survey)
Get PDFToday, the use of machine learning and artificial intelligence due to many advantages such as simplicity, high speed, high accuracy in predicting various processes, no need for complex equipment and tools and the availability of many applications in science and fields. Has found various including statistics, mathematics, physics, chemistry, biochemistry, materials engineering, medical engineering, pharmacy and etc. Therefore, in the present era, the study and study of various methods and algorithms of machine learning and artificial intelligence is very important. As a subset of artificial intelligence, machine learning algorithms create mathematical models based on sample data or training data for unpredictable prediction or decision making. One of the most interesting topics that can be focused on with artificial intelligence is predicting and estimating future events. Machine learning provides machines with the ability to learn independently. In other words, the machine can learn from the experiences, observations, and patterns it analyzes based on a set of data. In this regard, the chapter, with the aim of introducing machine learning and artificial intelligence, deals with their application in managing and analyzing the processes of economic systems in real conditions
Managing portfolio’s risk for improving quality in a project oriented manufacture
Get PDFIran is a developing country and there are many different infrastructure projects in hand. Some of the manufacturers that produce equipment for infrastructure projects as for oil, gas and energy projects should manage their efforts based on production management and project management practices; these kind of manufactures are known as project oriented manufacture. It is very important to manage and control manufacturing equipment project with the consideration of the constraints (time, cost, scope and quality). During the project’s lifecycle many risks take place, either positive or negative that should be controlled not to have a negative effect on quality of the project. With considering this concept, in this paper we will discuss a framework how to manage risks to eliminate negative effects on the quality of the project
Investigating Iran Housing Market Cycles and Possible Scenarios in Short-Term and Midterm Horizon Using the System Dynamics
Get PDFHousing is one of the important sectors of any economy. Given the lack of risk of the value of assets decline and the possibility of great numbers investment, investment in housing is attractive for the majority of Iranians The prices' shock causes problems on the demand side, particularly for vulnerable groups and on the supply side fluctuates investors' market confidence and risk. Under current conditions, also housing market remains in a deep stagnation. The present paper attempts to investigate causes of the problem and the housing market's future status using the dynamic system tools. In this study, after literature review the problem of the cause and effect model of the housing market has been outlined and the important and effective cycles have been specified. Then, using this model rate and accumulation model has been addressed and housing cycles have been specified in the simulation. In presenting scenario, also the status of parameters of Iran macroeconomic and sanctions is investigated. The result of presenting scenario shows that no sharp jump is predicted in housing price in future decade and in most scenarios the price is developed proportional to the inflation or less than it
Developing a Knowledge Management`s Framework for identification of Success factors in the Product Acquisition Cycles - case of aviation Industries Organization
Get PDFDetermining the success factors of the product acquisition process has initialized extensive researches at the level of institutions and organizations. However, few studies have been done about the success requirements of knowledge management in the product acquisition process. Therefore, in this research it is attempted to deal with this topic with a mixed method of qualitative and quantitative studies. At the qualitative stage by the use of the studies and the half-organized interviews the key knowledge which was very important for the success of each of the product acquisition phases was determined. Then this knowledge was translated to knowledge requirements, and at the next stage, a new model of assessing the situation of each of these requirements in product acquisition phases was presented. Finally, each situation was assessed with the knowledge management cycle approach in above-mentioned organizations. The results indicate that the knowledge production step in all of the product acquisition phases has an inappropriate situation, but the sharing process has an inappropriate situation in all phases except the knowledge production phase. 
Improvement of the Efficient Mutual Authentication Protocol for Passive RFID Tags (EMAP)
Get PDFRadio Frequency Identification (RFID) system is a wireless automatic identification using low-cost RFID tags. Promotion of privacy and security in RFID systems has been considered essential due to their usage in everyday life. In 2012, Guo-Rui Li et al. Proposed a new Efficient Mutual Authentication Protocol for passive RFID (EMAP), that providing confidentiality, un-traceability, and efficiency. In addition to proving the security problems of the EMAP method, this paper has presented a novel method to improve this weak point
A New Multi Objective Mathematical Model for Relief Distribution Location at Natural Disaster Response Phase
Get PDFEvery year, natural disasters such as earthquake, flood, hurricane and etc. impose immense financial and humane losses on governments owing to their unpredictable character and arise of emergency situations and consequently the reduction of the abilities due to serious damages to infrastructures, increases demand for logistic services and supplies. First, in this study the necessity of paying attention to locating procedures in emergency situations is pointed out and an outline for the studied case of disaster relief supply chain was discussed and the problem was validated at small scale. On the other hand, to solve this kind of problems involving three objective functions and complicated time calculation, meta-heuristic methods which yield almost optimum solutions in less time are applied. The EC method and NSGA II algorithm are among the evolutionary multi-objective optimization algorithms applied in this case. In this study the aforementioned algorithm is used for solving problems at large scale
Investigating the key indicators of implementing car paint quality management in the automotive industry
Get PDFWith the increasing development of science and technology, economics and industry have gone beyond their traditional framework and are becoming more and more knowledge-based every day. In this regard, identifying and reviewing key indicators in different sectors of industry as well as evaluating and prioritizing these factors are the most important optimization tools in the field of growth and development of companies. The study of how these tools affect their development and identify the factors affecting their accurate implementation in the field of car paint quality is the subject of this article. After extensive review of existing studies in this field and reviewing the opinions of experts, key influential factors were identified and using the ideas of experts, they were modified in accordance with the conditions of the country and placed in a suitable frame. These critical indicators were examined using Fuzzy AHP method and their importance was discovered within the process. This model was investigated and tested in Iran Khodro Company, using the analysis of the results the importance of the elements was figured out. Finally, using the obtained results from the analysis, the value of optimal implementation in different parts of the industry was examined
Adaptive Project Monitoring and Control with Variable Reviewing Intervals
Get PDFThis paper presents a managerial project control scheme in which the time between the control points is not fixed but instead is a function of the distance between the planned and the current performance levels. Varying the reviewing interval improves the efficiency of the project monitoring and control process and allows project managers to obtain the required information more quickly. To evaluate the effectiveness of the proposed scheme, a systematic computational experiment is carried out. Besides, a practical case study is given to illustrate the applicability of the proposed scheme. The results reveal the satisfactory performance of the adaptive control scheme
Codify a Three echelon inventory control model in terms of inflation with allowed shortage for a deterioration items
Get PDFIn this research initially, trying to find a model for inventory control system in a three-echelon supply chain for one-product system composed of levels of production, warehouse and seller and then will be trying to find optimal point in mentioned model. Model condition has been under inflation and has been considered for a commodity in which shortage is allowed and production has been deteriorating. With assumption be stable lead time and rate of demand and production and deterioration factor, obtain the overall cost function and restrictions for mentioned state. The impact of inflation with exponential function is on the price of units after that because of complex non-linear equation obtained, possibility of solving is impossible through classical methods. So we use MATLAB software for the numerical solution, sometime in numerical cases MATLAB can’t solve in routine time or can’t solve so we proposed the simulated annealing metaheuristic algorithm for these cases
Analysis of surface roughness and material removal rate in machining of AISI 1040 steel using CNC turning process
Get PDFThe present study investigates the effect of turning process parameters on the surface roughness and metal removal rate (MRR) of the AISI 1040 steel. Twenty-seven ( L27) runs based on an orthogonal array of Taguchi techniques were performed and the grey relational analysis method was later applied to determine a most favourable turning parameters setting. Apart from this, the analysis of variance (ANOVA) was conducted to statically identify the effect of the most significant parameters. Cutting speed, feed, depth of cut, and nose radius were carefully selected as input parameters, while surface roughness and material removal rate (MRR) was output respectively. Various plots and curves have been drawn to identify the effect of various parameters on surface roughness, material removal rate, and grey relational grade. From the result, it was observed that the Taguchi-based grey relational analysis approach can be effectively used as a structured method to optimize the parameters. The results of the range analysis show that the cutting speed has the most significant effect, followed by the feed rate and depth of cut