Computational Intelligence
P. Pandey
Abstract
Graphical passwords are the ways in which user click on the image or user can select the image to authenticate themselves instead of giving passwords. This technique is more secure that textual password techniques. In this article, the shoulder surfing preventive mechanism of graphical password authentication ...
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Graphical passwords are the ways in which user click on the image or user can select the image to authenticate themselves instead of giving passwords. This technique is more secure that textual password techniques. In this article, the shoulder surfing preventive mechanism of graphical password authentication is given. Finally the login password system is proposed to deal with such type of problems. First time, we are introducing a modified approach is given to resolve the shoulder surfing based on recall and recognition based concepts. Usually it is seen that the most common vulnerability of graphical password is shoulder surfing attack. This research aims to analyze the usability feature of recognition based and recall based graphical password methods and present a technique to apply an image based password that is safe from the shoulder surfing attack. In the similar context, the purpose of this paper is to present an alternative way to apply the recall and recognition based technique that will be protective for guess through shoulder surfing. And this graphical technique will be easy to memories the authentication password and process of authentication.
Scheduling
B. Naderi
Abstract
This paper considers the problem of university course timetabling. In this problem, there are a set of courses, lecturers and classrooms. The objective is to assign schedule courses so as to maximize the total preference of lecturer-course, lecturer-day and course-day. The paper first formulates the ...
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This paper considers the problem of university course timetabling. In this problem, there are a set of courses, lecturers and classrooms. The objective is to assign schedule courses so as to maximize the total preference of lecturer-course, lecturer-day and course-day. The paper first formulates the problem in form of linear integer programming model. Using the model and commercial software, the small sized instances are optimally solved. Then, the paper proposes three different algorithms based on imperialist competitive algorithm, simulated annealing and variable neighborhood search. The algorithms employ several novel procedures such as encoding scheme, move operator, crossing operators. The algorithms are tuned and evaluated with optimal solutions found by the model. Then, they are evaluated by comparing their performance. The results show that imperialist competitive algorithm outperforms the other algorithms.
Inventory, logistics, and transportation
H. Farrokhi-Asl; R. Tavakkoli-Moghaddam
Abstract
This paper is an extension of the well-known vehicle routing problem (VRP) consisting of two stages. The first and second stages deal with the vehicle routing and transportation problems, respectively. Waste collection is one of the applications of the considered problem in a real world situation. A ...
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This paper is an extension of the well-known vehicle routing problem (VRP) consisting of two stages. The first and second stages deal with the vehicle routing and transportation problems, respectively. Waste collection is one of the applications of the considered problem in a real world situation. A new mathematical model for this type of the problem is presented that minimizes the waste collection cost and decreases the risk posed to the environment for hazardous wastes transportation simultaneously. According to the NP-hard nature of the problem, a new multi-objective hybrid cultural and genetic algorithm (MOHCG) is proposed to obtain Pareto solutions. A straightforward representation for coding the given model is proposed to help us in reducing the computational time. To validate the proposed algorithm, a number of test problems are conducted and the obtained results are compared with the results of the well-known multi-objective evolutionary algorithm, namely non-dominated sorting genetic algorithm (NSGA-II), with respect to some comparison metrics. Finally, the conclusion is provided.
Data Envelopment Analysis, DEA
M. Nayebi; F Hosseinzadeh Lotfi
Abstract
The science of Data Envelopment Analysis (DEA) evaluates the effectiveness of decision making units. But, one of the problems of Data Envelopment Analysis (DEA) is that, if the number of units with the same efficiency equal to one was more than one, then we couldn’t select the best between them. ...
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The science of Data Envelopment Analysis (DEA) evaluates the effectiveness of decision making units. But, one of the problems of Data Envelopment Analysis (DEA) is that, if the number of units with the same efficiency equal to one was more than one, then we couldn’t select the best between them. It means that, we can’t rank them. Therefore, the need for ranking these units is considered by the managers. Different methods were proposed in this context. Most of these methods are modeled by DEA models. Due to the variety of ranking methods in DEA, this paper will describe ranking methods which are based on super-efficiency. More precisely, we introduced methods that rank using elimination (removing) of decision making units under the evaluation of observations(set). These methods have some advantages and disadvantages such as, model feasibility or infeasibility, stability or instability, being linear or nonlinear, being radial or non-radial, existence or non- existence of bounded optimal solution in objective function, existence or non- existence of multiple optimal solution, non-extreme efficient units ranking, complexity or simplicity of computational processes, that in this paper, Super Efficiency methods are compared with these eight properties.
Other
A. Y. Ali
Abstract
This paper discusses the application of TPM in copy centre in Woldia University located in Woldia town, north wollo, Amhara region, Ethiopia. The problem encountered in the centre includes long waiting time due to frequent breakdown of equipment, unpleasant work environment, defective product etc. This ...
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This paper discusses the application of TPM in copy centre in Woldia University located in Woldia town, north wollo, Amhara region, Ethiopia. The problem encountered in the centre includes long waiting time due to frequent breakdown of equipment, unpleasant work environment, defective product etc. This leads to disrupt of the university programs such as exams, trainings and so on. This paper uses TPM for solving the above mentioned problem by employing Overall equipment effectiveness (OEE). The OEE value on the centre is 35% which is less than world class standard of 85%. Therefore, the center needs urgent improvement in typical equipment maintenance management program. Advantages of TPM for the center includes better utilized equipment, clean and pleasant workplace, highly motivated employee, and satisfied customer.
Human factors, ergonomics, and safety
Md. Rahman; Md. Hasan; Ms. B. Datta
Abstract
This study has been carried out to evaluate the number of mismatches between secondary girl student’s anthropometry and existing furniture dimensions in Bangladesh. In this study, 375 students (girls) are in classes 6-10 in the age group between 10-15 years that have randomly selected from three ...
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This study has been carried out to evaluate the number of mismatches between secondary girl student’s anthropometry and existing furniture dimensions in Bangladesh. In this study, 375 students (girls) are in classes 6-10 in the age group between 10-15 years that have randomly selected from three secondary girl schools in Bangladesh. Twelve anthropometric measurements and seven existing furniture dimensions were taken to find out the possible mismatch. A defined match criterion equation used to determine the mismatch. Various researchers gave these equations. The result indicates that there is a significant mismatch between anthropometric measurement and furniture dimensions. The highest mismatch percentage for seat height is about 90% for class 9. Therefore, 90% of girls use the seat that is too high (high mismatch). Mismatch percentage for seat depth is 100% for all classes. As a result, seat depth is so small for all students. Seat width is 100% for class 8 and 60% for class 9. The desktop height is about 100% mismatch for all classes. This paper also proposes dimensions for new furniture. The new furniture improves the match percentages from 50% to 100%.
Probabilistic modelling
S. Abid; R. Abdulrazak
Abstract
In this paper, we introduce a new family of continuous distributions based on [0, 1] Truncated Fréchet distribution. [0, 1] Truncated Fréchet Weibull ([0, 1] ) and [0, 1] Truncated Fréchet ([0, 1] ) distributions are discussed as special cases. The cumulative distribution function, ...
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In this paper, we introduce a new family of continuous distributions based on [0, 1] Truncated Fréchet distribution. [0, 1] Truncated Fréchet Weibull ([0, 1] ) and [0, 1] Truncated Fréchet ([0, 1] ) distributions are discussed as special cases. The cumulative distribution function, the rth moment, the mean, the variance, the skewness, the kurtosis, the mode, the median, the characteristic function, the reliability function and the hazard rate function are obtained for the distributions under consideration. It is well known that an item fails when a stress to which it is subjected exceeds the corresponding strength. In this sense, strength can be viewed as “resistance to failure.” Good design practice is such that the strength is always greater than the expected stress. The safety factor can be defined in terms of strength and stress as strength/stress. So, the [0, 1] strength-stress and the [0, 1] strength-stress models with different parameters will be derived here. The Shannon entropy and Relative entropy will be derived also.
Numerical Analysis
R. Ezzati; K. Maleknejad; E. Fathizadeh
Abstract
In this paper we use a computational method based on CAS wavelets for solving nonlinear fractional order Volterra integral equations. We solve particularly Abel equations. An operational matrix of fractional order integration for CAS wavelets is used. Block Pulse Functions (BPFs) and collocation method ...
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In this paper we use a computational method based on CAS wavelets for solving nonlinear fractional order Volterra integral equations. We solve particularly Abel equations. An operational matrix of fractional order integration for CAS wavelets is used. Block Pulse Functions (BPFs) and collocation method are employed to derive a general procedure for forming this matrix. The error analysis of proposed numerical scheme is studied theoretically. Finally, comparison of numerical results with exact solution are shown.
Total quality management and quality engineering
K. Hasan; Md. S. Islam; A. T. Shams; H. Gupta
Abstract
The role of primary education is to ensure the broad-based development of pupils. This means ensuring that all pupils are able to develop their cognitive, social, emotional, cultural, and physical skills to the best of their abilities and preparing them for their further school career. It is known that ...
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The role of primary education is to ensure the broad-based development of pupils. This means ensuring that all pupils are able to develop their cognitive, social, emotional, cultural, and physical skills to the best of their abilities and preparing them for their further school career. It is known that education in Bangladesh is highly subsided. The government has given the highest importance to the education sector to ensure education for all. A large percentage of a country's national budget is set to promote education and make it more accessible. But the education system of Bangladesh faces several problems. Low performances in primary levels and dropout are matters of concern because the low performances can result of poverty, widening disparities in education opportunities and facilities, poor school attendance, less contact time in school, lack of skilled school teachers, and lack of coordination between parents and the teachers. For that reasons, this research is conducted to implement the Total Quality Management (TQM) to improve the condition and the quality of the primary education system. Total Quality Management is a tool for ensuring proper quality in the entire organization. The main objective of the research is to eliminate problems such as the lack of quality of teachers and to improve the relation between teachers, students, and parents. Another aim of this research is to improve the quality of the environment of the class room in order to motivate the students to go to school; so, the dropout can be reduced.
Project Management
N. Janatyan; M. R. Hashemianfar; M. Kasaee
Abstract
Nowadays, the construction managers try to accomplish the projects on time and successful simultaneously. However, the concept of success is not clear in their mind. The purpose of this paper is to identify the factors that effect on project success in the construction field; so, an integrated model ...
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Nowadays, the construction managers try to accomplish the projects on time and successful simultaneously. However, the concept of success is not clear in their mind. The purpose of this paper is to identify the factors that effect on project success in the construction field; so, an integrated model of critical success factor for construction projects has been suggested. The proposed model consists of three categories of variables, i.e. people related factors, project related factors, and environmental factors. This model clarifies the definition of success in the mind of construction professionals and develops the critical success factors for construction projects through prior research. The novelty of this research is the comprehensive view of critical success factors in an integrated model format. The model has been tested on construction project managers in Esfahan. Findings show that in Esfahan the success of construction projects depends on people, project, and environment related factors, respectively. This paper clarifies the ambiguous definition of success in the mind of construction professionals.
Industrial Management
A. Y. Ali
Abstract
Six Sigma has gained wide acceptance as an improvement methodology to enhance the organization competitiveness in market. For SMEs building a competitive advantage is a difficult task. Changes in the economic environment affect the way such entities perceive factors which could help them not only survive ...
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Six Sigma has gained wide acceptance as an improvement methodology to enhance the organization competitiveness in market. For SMEs building a competitive advantage is a difficult task. Changes in the economic environment affect the way such entities perceive factors which could help them not only survive on the market but shape their competitiveness. In the period of significant economic turbulence, the factors that play a major role in shaping the competitive market position are company image (product brand) and lower product price. This study uses Six Sigma DMAIC (Define, Measure, Analyze, Improve, and Control) approach as a framework to identify, quantify, and eliminate sources of variation in Meseret Gabi Machinery Metal Works Enterprise in Dessie (Ethiopia). This helps to improve the competitiveness of the enterprise in the market place by addressing the complaints and requirements of the customer continuously.
Human factors, ergonomics, and safety
Muhammed Mufazzal Hossen; Mahmud Hossain; K. M. Jalal Uddin Rumi
Abstract
The Emergency Preparedness and Response (EPR) framework to a radiological emergency in a Nuclear Power Plant (NPP) accident should be developed systematically and efficiently by applying an appropriate methodology. A systematic approach is applied in this study to select the appropriate method from different ...
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The Emergency Preparedness and Response (EPR) framework to a radiological emergency in a Nuclear Power Plant (NPP) accident should be developed systematically and efficiently by applying an appropriate methodology. A systematic approach is applied in this study to select the appropriate method from different methodologies for developing EPR framework of a NPP accident by applying trade-off analysis. Ten evaluation criteria, namely causal analysis, decision making analysis, feedback analysis, interactive graphical analysis, nonlinear behavior analysis, organizational factor analysis, quantitative analysis, sensitivity analysis, statistical analysis, and threat analysis were identified for methodology selection by conducting requirement analysis of EPR framework. The System Dynamics (SD) approach was found as the most capable and the best methodologies according to the trade-off analysis by considering the assigned criteria for EPR framework of a NPP accident. The Analytic Hierarchy Process (AHP) and the Bayesian Belief Network (BBN) can also be applied in the EPR framework development process of NPP accident.
Engineering Optimization
Prabhakar V Deshpande
Abstract
Industrial Engineering degree curriculum has many courses - Supply Chain Management, Production Planning and so on. However there is need to introduce new course in Industrial Engineering degree curriculum - Creative Industrial Engineering. This course will be designed by Industrial Engineering teachers ...
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Industrial Engineering degree curriculum has many courses - Supply Chain Management, Production Planning and so on. However there is need to introduce new course in Industrial Engineering degree curriculum - Creative Industrial Engineering. This course will be designed by Industrial Engineering teachers who have taken extensive and intensive training in Creative Thinking, Design thinking, Lateral thinking etc. They will apply the principles learnt in Creative Thinking, Design Thinking and Lateral Thinking to the problems of Industrial Engineering. It is high time we introduce Creative Industrial Engineering so that Industrial Engineering can apply itself to problems not conventionally considered as part of Industrial Engineering. This will make Industrial Engineering step out of its comfort zone and get into down to earth commonsense problems faced by every one and provide solutions that require lateral thinking, creative thinking, out of box thinking, divergent thinking, right brain thinking . The course content can differ from each institute to another teaching industrial engineering. There has to be a greater discussion amoung academicians of the feasibility of this course, since its need is without doubt unquestionable.
Business Analytics
Parvaneh Gelard; Khosro Farahi; Hamid Tohidi
Abstract
Rural entrepreneurship is one of the most important goals of policy-makers to develop villages and prevent migration from rural to urban areas. Significant challenges at the rural entrepreneurship level have reduced the entrepreneurship development process. Recognizing these challenges can be constructive ...
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Rural entrepreneurship is one of the most important goals of policy-makers to develop villages and prevent migration from rural to urban areas. Significant challenges at the rural entrepreneurship level have reduced the entrepreneurship development process. Recognizing these challenges can be constructive in identifying the various dimensions related to rural entrepreneurship and removing barriers to rural business development. This study aims to identify the effective financial factors on entrepreneurship in rural small businesses and rank these factors. The research method applied based on purpose and data collection is a semi-structured interview done through interviews with academic experts, implementers of rural employment and entrepreneurship projects, and entrepreneurs. Data analysis and validation of financial factors on rural entrepreneurship in both service and agriculture sectors were performed using the fitting of a time-series regression model. The results indicate a positive and significant effect of rural population ratio, financing through financial institutions, economic growth, openness rate in business space, gender composition, and inflation rate in agriculture sectors, as well as a significant reverse effect of official employment rate, job-seeking population ratio, exchange rate uncertainty, government employment rate and graduation ratio on entrepreneurship in both service and agriculture sectors. Finally, the results of the Friedman test showed that the financing factor through financial institutions has the highest average rating due to the bank-oriented financial resources of entrepreneurial enterprises in the rural service and agriculture sectors. Therefore, policy-makers seeking to develop rural entrepreneurship should prioritize policies related to the ease of access of rural businesses to financial resources.
Engineering Optimization
Mohammad Hossein Sattarkhan
Abstract
A multi-product system is one of the different types of manufacturing systems, in which a large number of products are produced that complement each other and have interdependence. These types of systems have recently been widely used in various industries. In some types of multi-product manufacturing ...
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A multi-product system is one of the different types of manufacturing systems, in which a large number of products are produced that complement each other and have interdependence. These types of systems have recently been widely used in various industries. In some types of multi-product manufacturing industries that offer their products as a package, the scheduling of the production of components of each package affects the time it takes to complete the package. Therefore, a new problem has been defined that the primary purpose of its production scheduling, in addition to reducing the completion time of the products, is to make various items forming a package, get ready over a short interval of time and be supplied to the sales unit so that the package can be delivered to the final consumer. The purpose of this paper is to express the problem of production scheduling of multi-product production systems in the form of linear programming. For this purpose, two mathematical models are presented, and their functions are compared. Besides, an efficient genetic algorithm is proposed to solve the problem, which is able to solve the problem in a reasonable time, with acceptable accuracy.
Computational Intelligence
N. Prasad; B. Rajpal; K. K. R. Mangalore; R. Shastri; N. Pradeep
Abstract
Face recognition has always been one of the most searched and popular applications of object detection, starting from the early seventies. Facial recognition is used for access control, authentication, fraud detection, surveillance, and by individuals to unlock their devices. The less intrusive and robustness ...
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Face recognition has always been one of the most searched and popular applications of object detection, starting from the early seventies. Facial recognition is used for access control, authentication, fraud detection, surveillance, and by individuals to unlock their devices. The less intrusive and robustness of the face detection systems, make it better than the fingerprint scanner and iris scanner. The frontal face can be easily detected, but multi-view face detection remains a difficult task, due to various factors like illumination, various poses, occlusions, and facial expressions. In this paper, we propose a Deep Neural Network (DNN) based approach to improve the accuracy of detection of the face. We show that Deep Neural Networks algorithms have better accuracy than traditional face detection algorithms for multi-view face detection. The Deep Neural Network (DNN) gives more precise and accurate results, as the DNN model is trained with large datasets and, the model learns the best features from the dataset.
Data mining
Sadegh Eskandari
Abstract
Multi-label learning is an emerging research direction that deals with data in which an instance may belong to multiple class labels simultaneously. As many multi-label data contain very large feature space with hundreds of irrelevant andredundant features, multi-label feature selection is a fundamental ...
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Multi-label learning is an emerging research direction that deals with data in which an instance may belong to multiple class labels simultaneously. As many multi-label data contain very large feature space with hundreds of irrelevant andredundant features, multi-label feature selection is a fundamental pre-processing tool for selecting a subset of most representative and discriminative features. This paper introduces a Python-based open-source library that provides the state-ofthe-art information theoretical filter-based multi-label feature selection algorithms. The library, called PyIT-MLFS, is designed to facilitate the development of new algorithms. It is the first comprehensive open-source library for implementing algorithms of multilabel feature selection. Moreover, it provides a high-level interface that enables the end-users to test and compare different already implemented algorithms. PyIT-MLFS is available from https://github.com/Sadegh28/PyIT-MLFS.
Mathematical modelling
Seyyed Mostafa Mousavi; Majid Motamedi; Rasoul Karimi
Abstract
A supply chain is a network that creates and delivers products and services to customers. In this research, the four-level supply chain in the field of food products, including the levels of supplier, customer, and central and secondary warehouses, has been investigated. A mixed integer mathematical ...
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A supply chain is a network that creates and delivers products and services to customers. In this research, the four-level supply chain in the field of food products, including the levels of supplier, customer, and central and secondary warehouses, has been investigated. A mixed integer mathematical model of the research problem is presented to minimize chain costs, including the setting up and preparation of warehouses, transportation between transfer levels, and holding products. The proposed model is developed based on constraints such as inventory, warehouse capacity, vehicle capacity, and multi-period multi-product. The decision variables are determined after solving the model, which includes the optimal number of central and secondary warehouses, the optimal amount of product transferred between the factory and central warehouse, the central warehouse and secondary warehouse, and the secondary warehouse and customer, the optimal amount of product storage in secondary warehouses, the type of vehicle for transportation between levels, and the capacity level of each product in each central warehouse. To validate the proposed model, experiments were conducted using the Kaleh company's real data in GAMS software. Finally, the sensitivity analysis of the model was carried out on two critical parameters influencing decision-making: demand and the cost of increasing the capacity of the central warehouse. The output results confirmed the validity and efficiency of the proposed model.
Facility location, layout, design, and materials handling
Davood Darvishi; Hassan Ahmadi Choukolaei; Soheil Shafaee
Abstract
All governments especially those having a high risk of natural disasters must have a comprehensive and implementable plan. In Iran, the placement of relief centers for the injured is usually done experimentally by relief organizations without considering the necessary standards. In this research, according ...
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All governments especially those having a high risk of natural disasters must have a comprehensive and implementable plan. In Iran, the placement of relief centers for the injured is usually done experimentally by relief organizations without considering the necessary standards. In this research, according to the crisis management standard, the criteria are classified and determined as layers of information in the Geographic Information System (GIS). Then, the selected relief centers in the study area were evaluated according to the standard criteria and using the obtained matrix, the research criteria were weighed by entropy method. Finally, using net flows, performance scores and research constraints, the optimal options were identified by the PROMETHEE 5 method. The strengths and weaknesses of each of these options were also assessed. The results showed that half of the relief centers considered in the region were not optimal and had poor performance in most of the effective and important criteria for locating relief centers. Criteria of population density and distance from worn tissue were the most important criteria in this study.
Engineering Optimization
Parviz Tohidi Nasab; Mohsen Vaez Ghasemi; Ghasem Tohidi
Abstract
The Aircraft Scheduling Problem (ASP) refers to allocating each aircraft to the optimal take-off and landing time and the appropriate runway. This problem is the allocation of aircraft to the desired runway so that the total damage due to delays or haste in landing or take-off of all aircraft is minimized. ...
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The Aircraft Scheduling Problem (ASP) refers to allocating each aircraft to the optimal take-off and landing time and the appropriate runway. This problem is the allocation of aircraft to the desired runway so that the total damage due to delays or haste in landing or take-off of all aircraft is minimized. Runway allocation, landing and take-off sequences, and scheduling for each aircraft must be done in a predetermined time window. Time should also be considered as the time of separation between landings and take-offs due to the wake vortex phenomenon. In general, the purpose of such problems is to make maximum use of the runway. Therefore, in this study, a mathematical model of robust landing and take-off scheduling at an airport is provided, assuming no access to the airport runway at certain times. Moreover, delays and haste in landing and take-off on the runway, limited access to aircraft, runway repair time, and the possibility of runway disturbances are investigated. Robust optimization is used to deal with uncertainty at take-off and landing times. Finally, Genetic and Imperialistic Competitive Algorithm are used to evaluate and analyze the problem because it is NP-HARD problem. The results indicate the ability of the proposed algorithms to find high-quality solutions in a short computation time for problems up to 7 runways and 60 aircraft.
Inventory, logistics, and transportation
H. Nozari; M. Fallah; A. Szmelter-Jarosz
Abstract
The green smart supply chain is a phenomenon that has emerged as a result of the development of sustainable and smart business and information technology trends. Sustainable and green supply chains are an innovative phenomenon that uses information technology to improve the quality of activities in operating ...
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The green smart supply chain is a phenomenon that has emerged as a result of the development of sustainable and smart business and information technology trends. Sustainable and green supply chains are an innovative phenomenon that uses information technology to improve the quality of activities in operating areas. In order to ensure that activities are adapted to social and environmental needs. In this regard, the Internet of Things is one of the most important components of technology infrastructure for smart. For this purpose, in this research, a framework for implementing a green IoT-based supply chain is presented. This framework is based on the four-stage architecture of the Internet of Things and has been created by emphasizing the literature and the interaction and review of the opinions of active experts in this field. This framework illustrates the direct relationship between data generation and how it interacts with the sectors affected by environmental sustainability and outlines a clear pathway for sustainable and green decision-making in the supply chain. This framework has been endorsed by experts in the supply chain field and can pave the way for effective implementation of the green supply chain with an emphasis on technology in manufacturing organizations.
Computational modelling
Alper Kiraz; Asiye Yücedag Gürel
Abstract
Continuously adding value to a company's products and services is inevitable in adapting to this evolving and challenging global market. That is why lean philosophy is becoming increasingly important and popular among companies, and they are relying more and more on it. It not only assists in increasing ...
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Continuously adding value to a company's products and services is inevitable in adapting to this evolving and challenging global market. That is why lean philosophy is becoming increasingly important and popular among companies, and they are relying more and more on it. It not only assists in increasing profitability and quality by eliminating all processes that provide no value to the customer but also enables increased flexibility in production and productivity. In this study, the criteria affecting the Lean Maturity Level (LML) were determined, and a lean maturity measurement model, which helps companies define and understand the level of lean maturity and lean effectiveness, was developed. A recently completed case study included data from an online survey with 116 questions, which were conducted on 187 middle to senior-level professionals in Türkiye from different industries. In this model, 9 main and 14 sub-lean criteria were generated to determine LML , and each criterion was weighted based on the assessments of experts. In this paper, the interval-valued spherical fuzzy AHP method is applied for the very first time to the weighting of the criteria of a lean maturity assessment model. After collecting data through an online survey study, Confirmatory Factor Analysis (CFA) in the IBM SPSS AMOS V26 program was applied to test the model fit, validity, and reliability. To determine the LMLs, the leveling scale (understanding, implementation, improvement, and sustainability) was used from the model for LMLs in manufacturing cells. As a result of the analysis of the survey results obtained from the participating companies, the overall LML was calculated as 2.55 out of 4. This result corresponds to the level 3 - improvement range on the leveling scale. The lean maturity success rate of surveyed companies was set at 64%.
Decision analysis and methods
Aminullah Teymouri; Hasan Amiri; Somayeh Qajari; Farzaneh Beigzadeh
Abstract
Given the challenges and global uncertainties in the business’s, the use of futurism to improve management in space research center in Iran has become very important. Hence, space sector needs continuous futurology improvement in its systems and processes to obtain higher levels of reliability. ...
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Given the challenges and global uncertainties in the business’s, the use of futurism to improve management in space research center in Iran has become very important. Hence, space sector needs continuous futurology improvement in its systems and processes to obtain higher levels of reliability. Therefore, this study is aiming to design a model to create an organization with high reliability. So, this research is among developing research. In terms of the nature and approach of research, it is a causal-effect research, while it should also be noted that the present study is mixed by Grounded theory. This research has done based on qualitative part of the research and semi-structured interviews with 20 experts and knowledgeable experts in Iran Space Research Institute and active academic experts at universities. Firstly, categories and subcategories have been selected through individual interviews with experts in the field of reliability based on snowball sampling method. The statistical population of this research in a small part consists of active employees of the organization in the Iranian Space Research Institute of 1000 people. The statistical sample in this research is 277 people and the sampling method is also available. The results showed that, security activities, learning and experience survival, high interaction ability activities, job rotation and trust, high learning ability and difficulties at work activities, managers' special attention to supply line forces, high transfer rate, knowledge management, teamwork, loyalty and dignity, teamwork and collaboration, organizational knowledge management, commitment to flexibility, talent management and organized turmoil are essential to create a highly reliable organization.
Inventory, logistics, and transportation
U. G. Chike; M. S. Stephens
Abstract
The aim of this study is to examine customers’ satisfaction with the level of service in Murtala Muhammed International Airport (MMIA), Lagos, Nigeria; so as to identify the service attributes requiring managerial attention in the airport. The study evaluated twenty eight service attributes in ...
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The aim of this study is to examine customers’ satisfaction with the level of service in Murtala Muhammed International Airport (MMIA), Lagos, Nigeria; so as to identify the service attributes requiring managerial attention in the airport. The study evaluated twenty eight service attributes in order to assess passengers’ expectations and satisfaction. Survey was conducted and four hundred copies of questionnaire were administered to the study population. The data was analyzed using descriptive statistics, GAP analysis and t-test statistics. The results revealed that the twenty eight service attributes showed a significant difference (significant level ≤ 0.05) between male and female respondents’ perceptions. Although, the expectations of these service attributes were high yet their satisfaction level was low. This suggests that customers’ satisfaction with MMIA, Lagos decreased. Thus, the service attributes that are of high expectation to passengers using the airport but performing poorly with low satisfaction level include “Speed of bags delivery service”, “Flight are screens”, “Comfort of waiting” and “Phone/Internet/IT facilities.” The aforementioned service attributes are those that require managerial attention in the airport. Hence, major improvement is needed here so as to enhance customers’ satisfaction.
Computational Intelligence
Alper Kiraz; Enes Furkan Erkan; Onur Canpolat; Onur Kökümer
Abstract
In welded constructions, there should be no defects in the welding seams, or defects should have in an acceptable range for obtaining more reliable welding operations. An undercut is one of the most important welding defects occurring on the workpieces produced by butt welding. Determining the correct ...
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In welded constructions, there should be no defects in the welding seams, or defects should have in an acceptable range for obtaining more reliable welding operations. An undercut is one of the most important welding defects occurring on the workpieces produced by butt welding. Determining the correct value of the stress concentration factor (SCF) allows deciding whether it accepts welding defects, in which case. Many characteristics and ranges influence SCF, making it challenging to calculate a more precise SCF. In this study, six different artificial neural networks (ANN) models are developed for predicting SCF. These models differ in terms of the training dataset used (70%-90%) and the number of neurons (5-10-20) in the hidden layer. Developed ANN models consist of three input variables the ratio of Undercut depth (h) and Undercut deep Radius (r), Reinforcement angle (Q1), deep angle of welding seam (Q2), and an output variable as SCF. The prediction performance of 6 developed ANN models in different specifications is compared. The model with a 90% training set and five neurons in the hidden layer performed the best with an accuracy of 0.9834. According to the ANN model with these features, MAE, MAPE, and RMSE values are calculated as 0.0094, 2.50%, and 0.0129, respectively.