Computational Intelligence
B. Singh; K Sh. Ranjan; D. Aggarwal
Abstract
There are currently two ways to vote in India. They are secret ballots and electronic vote machines, but these two processes have some limitations or disadvantages. The current system is also insecure. Many people miss the opportunity to vote simply because they need to go to the polling station and ...
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There are currently two ways to vote in India. They are secret ballots and electronic vote machines, but these two processes have some limitations or disadvantages. The current system is also insecure. Many people miss the opportunity to vote simply because they need to go to the polling station and wait for several places to vote. In this paper, we proposed a voting method. In our method, the voting process has three security stages. The first stage is facial recognition, the second stage is Election ID (EID) number verification, and the third stage is One-Time-Password (OTP) verification using the user's mobile phone number registered.
Engineering Optimization
M. Sayadi; M. Ghomi
Abstract
During the past years, extensive studies have been performed on concretes containing rice husk ash and recycled aggregates, which have shown the advantages of those concretes. Comparison of recycled concrete materials from the aggregates of quarrying plants for use in laboratory mixtures is the difference ...
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During the past years, extensive studies have been performed on concretes containing rice husk ash and recycled aggregates, which have shown the advantages of those concretes. Comparison of recycled concrete materials from the aggregates of quarrying plants for use in laboratory mixtures is the difference between this study and previous studies in this field. In addition to mechanical tests and evaluation of the performance of recycled concrete and comparison of ordinary concrete, the evaluation of the design economy and environmental protection are also examined. The main purpose of this study is to achieve and introduce the most optimal conditions for the use and application of recycled stone materials in concrete production. Evaluate and compare the effectiveness of each of the hardened concrete parameters such as mechanical properties and engineering properties (compressive and tensile strength) as a result of using recycled aggregate replacement values, as well as conserving environmental resources that are non-renewable in many industries. Or renewed over very long periods of time, reducing construction waste and environmental pollution, creating employment and economic benefits are other goals pursued in this study.
Data modeling
Mohammad Khodashenas; Hamed Kazemipoor; Seyed Esmaeel Najafi; Farzad Movahedi Sobhani
Abstract
In this paper, a two-stage model is designed for arranging and locating vehicle routes with simultaneous pickup and delivery. The model developed in the first stage optimizes the arrangement of products in packages and thus optimizes packages' length, width, and height for delivery to customers. In the ...
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In this paper, a two-stage model is designed for arranging and locating vehicle routes with simultaneous pickup and delivery. The model developed in the first stage optimizes the arrangement of products in packages and thus optimizes packages' length, width, and height for delivery to customers. In the second stage, the goal is to provide customers with vehicle in simultaneous pickup and delivery. In this part of the model, the location of distribution centers is potentially considered, and the demand and cost parameters are considered uncertain. To solve the problem, precise methods and meta-heuristic algorithms of PSO for the first stage and multi-objective meta-heuristic algorithms NSGA II and MOALO for the set have been used. The results of examining the efficiency of the algorithms in the second stage show the high efficiency of the MOALO algorithm with a valuable weight of 0.8388. Therefore, to implement the model in the real problem (Golrang Broadcasting Company), the MOLAO algorithm has been used, the management results include obtaining 15 efficient answers.
Mathematical modelling
Linxin Li; Fengqiong Wang; Wu Dingping
Abstract
Compared with [1], in this paper, We will give first some sufficient conditions under which a (c)-mapping possesses an Approximate Fixed Point Sequence (AFPS). And then, we will prove that (c)-mapping has a fixed point. Finally, we will check some special properties of the fixed point sets of these mappings, ...
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Compared with [1], in this paper, We will give first some sufficient conditions under which a (c)-mapping possesses an Approximate Fixed Point Sequence (AFPS). And then, we will prove that (c)-mapping has a fixed point. Finally, we will check some special properties of the fixed point sets of these mappings, such as closedness, convexity.
Total quality management and quality engineering
S. Kumar Gauri; S. Pal
Abstract
Process capability indices are widely used to assess whether the outputs of an in-control process meet the specifications. The commonly used indices are , , and . In most applications, the quality characteristics are assumed to follow normal distribution. But, in practice, many quality characteristics, ...
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Process capability indices are widely used to assess whether the outputs of an in-control process meet the specifications. The commonly used indices are , , and . In most applications, the quality characteristics are assumed to follow normal distribution. But, in practice, many quality characteristics, e.g. count data, proportion defective etc. follow Poisson or binomial distributions, and these characteristics usually have one-sided specification limit. In these cases, computations of or using the standard formula is inappropriate. In order to alleviate the problem, some generalized indices (e.g. index, index, index and index) are proposed in literature. The variant of these indices for one-sided specification are and , and ¸ and , and respectively. All these indices can be computed in any process regardless of whether the quality characteristics are discrete or continuous. However, the same value for different generalized indices and or signifies different capabilities for a process and this poses difficulties in interpreting the estimates of the generalized indices. In this study, the relative goodness of the generalized indices is quantifying capability of a process is assessed. It is found that only or gives proper assessment about the capability of a process. All other generalized indices give a false impression about the capability of a process and thus usages of those indices should be avoided. The results of analysis of multiple case study data taken from Poisson and binomial processes validate the above findings.
Reliability and Quality Engineering
Tasnim Ahmed Tahasin; Himadri Sen Gupta; Noshin Tasnim Tuli
Abstract
5S is a systematic approach that helps to organize a workplace for increasing efficiency and reduce wasting of productivity by providing an organized safe environment. The objective of this paper is to emphasize the implementation of 5S principles for the workplace by reflecting a tooling problem of ...
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5S is a systematic approach that helps to organize a workplace for increasing efficiency and reduce wasting of productivity by providing an organized safe environment. The objective of this paper is to emphasize the implementation of 5S principles for the workplace by reflecting a tooling problem of a manufacturing unit. This article examines the challenges experienced in the implementation of 5S methodology to optimize labor and safety in a manufacturing department by showing the gap of productivity caused while not having 5S methodology in workplaces. The time consumption analysis of 5S implementation through shadow boarding demonstrates workers who have been able to perform work more efficiently along with a significant reduction of searching time of tools. The results showed that 5S along with the shadow boarding technique creates improvement in efficiency, workspace, equipment search time, working environment and safety. Consequently, this shadow boarding technique would strongly support the objectives of multinational companies to achieve continuous improvement and higher performance.
Total quality management and quality engineering
Seyed Mohsen Ebrahimi; Parisa Shahnazari-Shahrezaei
Abstract
Most qualitative characteristics cannot be easily reported numerically. In such cases, each product is inspected and usually divided into two conforming and nonconforming groups based on their qualitative characteristics. Since nowadays products and processes have generally several interdependent qualitative ...
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Most qualitative characteristics cannot be easily reported numerically. In such cases, each product is inspected and usually divided into two conforming and nonconforming groups based on their qualitative characteristics. Since nowadays products and processes have generally several interdependent qualitative characteristics, it is necessary to use multivariate quality control methods to make the relationship between variables and their variations. To do this, the sampling of the considered qualitative characteristic is done at the specified time intervals to check the control of the process over time after drawing the considered statistic on the control chart. A common problem while sampling is measurement error. It affects the performance of control charts, impairs their ability to detect changes in the process, and increases the cost and time to search for out-of-control situations. In this paper, the effect of measurement error on the performance of the Multivariate Nonconforming Proportion (MNP) control chart has been evaluated based on the criterion of Average Run Length (ARL) for the first time. The results imply that the measurement error has a considerable impact on the performance of this chart. Also, the results indicate that if the defective items have been wrongly considered as correct items, we would have a higher ARL compared to an ideal and accurate system. On the other hand, if the system considers right items as defective, we will have a lower ARL than the ideal and accurate system. It is proved that if both errors (considering faulty items as correct ones and vice versa) occur simultaneously, the ARL will be reduced like the previous case.
Scheduling
M. Hamid; R. Tavakkoli-Moghaddam; B. Vahedi-Nouri; H. Arbabi
Abstract
Operating rooms (ORs) are among the most influential departments of a hospital that a major portion of its expenditures and revenues originate from it. Due to the limited resources and the presence of different stockholders, effective management, and the optimal planning of this department are challenging. ...
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Operating rooms (ORs) are among the most influential departments of a hospital that a major portion of its expenditures and revenues originate from it. Due to the limited resources and the presence of different stockholders, effective management, and the optimal planning of this department are challenging. This paper develops a mathematical model to address the integrated problem of the operating room and surgical member scheduling with the objective of makespan minimization. In the proposed model, several aspects, including the availability and necessity of surgical members and equipment, and lunch break consideration, are incorporated. Finally, a case study related to an OR department in a general hospital is provided to assess the applicability and performance of the proposed model.
Operations Research
Md. Kawsar Ahmed Asif; Shahriar Tanvir Alam; Sohana Jahan; Md. Rajib Arefin
Abstract
Sequencing and scheduling are the forms of decision-making approach that play a vital role in the automation and services industries. Efficient scheduling can help the industries to achieve the full potential of their supply chains. Conversely, inefficient scheduling causes additional idle time for machines ...
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Sequencing and scheduling are the forms of decision-making approach that play a vital role in the automation and services industries. Efficient scheduling can help the industries to achieve the full potential of their supply chains. Conversely, inefficient scheduling causes additional idle time for machines and reduces productivity, which may escalate the product price. This study aims to find the most effective algorithm for solving sequencing and scheduling problems in a non-preemptive flow shop environment where the objective functions are to reduce the total elapsed time and idle time. In this research, four prominent exact algorithms are considered and examined their efficiency by calculating the ‘total completion time’ and their goodness. In order to demonstrate the comparative analysis, numerical examples are illustrated. A Gantt chart is additionally conducted to exhibit the efficiency of these algorithms graphically. Eventually, a feasible outcome for each condition has been obtained by analyzing these four algorithms, which leads to getting a competent, time and cost-efficient algorithm.
Supply chain management
Artaphon Chansamut
Abstract
The research aims to design and to assess the suitability supply chain management information system model for quality assurance in educational management for ASEAN University Network Quality Assurance (AUN-QA). The samples are 15 experts selected by purposive sampling. The data is analyzed by means ...
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The research aims to design and to assess the suitability supply chain management information system model for quality assurance in educational management for ASEAN University Network Quality Assurance (AUN-QA). The samples are 15 experts selected by purposive sampling. The data is analyzed by means and standardized deviations statistically. The research result shows that supply chain management information system model for quality assurance in educational management for AUN-QA is consisted of 5 keys which are main components, suppliers, manufacturer, customer, consumers. The data is analyzed by using arithmetic mean and standard deviation. The assessment of supply chain management information system model for quality assurance in educational management for AUN-QA. The results showed that the model was validated at a “high” level, suggesting that supply chain management information system model for quality assurance in educational management for AUN-QA aims to support sustainable information system development.
Computational Intelligence
K Shweta Ranjan; B. Singh; D. Aggarwal
Abstract
In this Pandemic situation after dealing with contactless delivery, we introduce a "contactless menu", this feature help restaurants to gain the trust and confidence of customers in their safety and hygiene measures post-lockdown. The contactless menu will have two main components and, in the future, ...
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In this Pandemic situation after dealing with contactless delivery, we introduce a "contactless menu", this feature help restaurants to gain the trust and confidence of customers in their safety and hygiene measures post-lockdown. The contactless menu will have two main components and, in the future, we are planning to include contactless payment.
Mathematical modelling
M. Bakhshi; S. E. Hashemi; H. Dezhdar
Abstract
In this research, we present a mathematical model for allocating people to different jobs and shifting employees between related jobs. This action will reduce the repetitive activities workload and ergonomic risks at the planned time horizon, and finally increases the organization's efficiency. In this ...
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In this research, we present a mathematical model for allocating people to different jobs and shifting employees between related jobs. This action will reduce the repetitive activities workload and ergonomic risks at the planned time horizon, and finally increases the organization's efficiency. In this proposed model, the devices are semi-automatic and it is possible to allocated more than one task to one person. Regarding the modeling and the case study of the constraints, it is shown that the complexity of this problem type is NP-Hard, and the result of accurate methods for solving the problem is not possible in a reasonable time. Due to this Simulated Annealing (SA) algorithm is used to study the proposed model and comparison of the results of SA algorithm with the results of precise optimization methods shows the better performance of the Simulated Annealing algorithm in terms of the time and answer quality.
Mathematical modelling
Eshetu Dadi Gurmu; Boka Kumsa Bole; Purnachandra Rao Koya
Abstract
In this paper, optimal control theory is applied to Human Papillomavirus (HPV) and Human immunodeficiency viruses (HIV) coinfection model given by using a system of ordinary differential equations. Optimal control strategy was employed to study the effect of combining various intervention strategies ...
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In this paper, optimal control theory is applied to Human Papillomavirus (HPV) and Human immunodeficiency viruses (HIV) coinfection model given by using a system of ordinary differential equations. Optimal control strategy was employed to study the effect of combining various intervention strategies on the transmission dynamics of HPV-HIV coinfection diseases. The necessary conditions for the existence of the optimal controls were established using Pontryagin’s Maximum Principle. Optimal control system was performed with help of Runge-Kutta forward-backward sweep numerical approximation method. Finally, numerical simulation illustrated that a combination of prevention, screening and treatment is the most effective strategy to minimize the disease from the community.
Decision analysis and methods
Shahram Ariafar; Seyed Hamed Moosavirad; Ali Soltanpour
Abstract
The Hungarian Algorithm is the most famous method for solving Linear Assignment Problems (LAP). Linear Assignment Method (LAM), as an application of LAP, is among the most popular approaches for solving Multi Criteria Decision Making (MCDM) problems. LAM assigns a priority to each alternative based on ...
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The Hungarian Algorithm is the most famous method for solving Linear Assignment Problems (LAP). Linear Assignment Method (LAM), as an application of LAP, is among the most popular approaches for solving Multi Criteria Decision Making (MCDM) problems. LAM assigns a priority to each alternative based on a Decision Matrix (DM). The elements of the DM are often deterministic in MCDM. However, in the real world, the value of the elements of the DM might not be specified precisely. Hence, using interval grey numbers as the value of the DM to consider the uncertainty is reasonable. In this research, for providing a real circumstance, the classic Hungarian algorithm has been extended by using the concept of grey preference degree as the Grey Hungarian Algorithm (GHA) to solve LAM under uncertainty. To verify the proposed GHA, a real case for ranking several items of mining machinery warehouse from Sarcheshmeh Copper Complex has been solved by the GHA. Also, the same case study has been prioritized by two other methods: Grey TOPSIS and Grey VIKOR. The results of all mentioned approaches are identical, showing the validity of the proposed GHA developed in this research.
Other
Prabhakar V Deshpande
Abstract
Mindset means mental attitude. Methodology means a system of methods used in a particular area of study. If one studies any textbook in industrial engineering, one reads about various optimization methods. Hence it is natural to assume that industrial engineering is a methodology. However, this paper ...
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Mindset means mental attitude. Methodology means a system of methods used in a particular area of study. If one studies any textbook in industrial engineering, one reads about various optimization methods. Hence it is natural to assume that industrial engineering is a methodology. However, this paper argues that industrial engineering is a mindset geared toward optimisation, and methodology is just a manifestation of that mindset.
Supply chain management
Tamanna Islam Mim; Fowzia Tasnim; Bm Adnan Rahman Shamrat; Md Doulotuzzaman Xames
Abstract
In managing a supply chain, the green approach has become pivotal for the sake of environmental, economic, and social sustainability. In this paper, we consider the environmental performance prediction in managing sourcing of a textile industry supply chain. Specifically, this research focuses on the ...
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In managing a supply chain, the green approach has become pivotal for the sake of environmental, economic, and social sustainability. In this paper, we consider the environmental performance prediction in managing sourcing of a textile industry supply chain. Specifically, this research focuses on the dying sector of an emerging economy. We identify eleven green supply chain performance indicators and four performance measures and perform both qualitative and quantitative analyses. The performance is predicted using a probabilistic model based on a Bayesian belief network (BBN). The robustness of the findings is validated through a sensitivity analysis. The outcomes suggest that ‘total suspended solids’ (TSS) and ‘volatile organic compounds’ (VOC) are the most important indicators for the case company in this study with the highest entropy reduction. Also, ‘air emission’ was found to be the most impactful performance measure for entropy reduction. This research work will help improve the decision-making capability of the managers and practitioners considering the total environmental performance of the green supply chain. The improved decision-making will also improve overall organizational performance of a green supply chain.
Manufacturing and Logistics
N. Zahan; F. I. Jony; Kh. Nahar
Abstract
Osteoarthritis (OA) of the hip is the most common joint disease in elderly people and associated with significant physical disability. Pain relief is a primary treatment of hip OA. When the patient with hip OA has failed medical treatment modalities and remains in pain, the patient should be referred ...
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Osteoarthritis (OA) of the hip is the most common joint disease in elderly people and associated with significant physical disability. Pain relief is a primary treatment of hip OA. When the patient with hip OA has failed medical treatment modalities and remains in pain, the patient should be referred for hip replacement surgery in which the damaged surfaces of the joint is removed and replaced with a set of artificial ball-and-socket implants. In this research, a proposition for Additive Manufacturing (AM) is advocated to produce the bone implant to enhance the customer satisfaction along with minimization of costs. AM primarily differs from traditional material removal process because it creates product by successive deposits of material layer by layer. Because of this difference, the cost and operational methodologies are distinct from traditional manufacturing. For this reason, additive manufacturing is adopted for this artificial bone manufacturing and a stochastic optimization model is proposed to help a manufacturer decide when AM is best for them.
Inventory, logistics, and transportation
Filscha Nurprihatin; Metta Gotami; Glisina Dwinoor Rembulan
Abstract
This paper discusses the inefficient and inaccurate raw material supply at a food company which results in a backlog. This means the overstock occurs so that the improvement of inventory control needs to be done. ABC classification is firstly utilized as input for Material Requirements Planning (MRP). ...
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This paper discusses the inefficient and inaccurate raw material supply at a food company which results in a backlog. This means the overstock occurs so that the improvement of inventory control needs to be done. ABC classification is firstly utilized as input for Material Requirements Planning (MRP). This paper focuses on four products which are classified into A class. Then, this paper discusses the Triple Exponential Smoothing (TES) as the forecasting method. Aggregate planning is also conducted for better production planning. The results of aggregate planning provide solutions to increase the workforce to balance production capacity by the number of demands. Squared Coefficient of Variation (SCV) calculations indicates the demand follows a static pattern. Therefore, the appropriate lot sizing method is the Economic Order Quantity (EOQ) to carry out the production needs. Finally, this paper uses capacity planning using Rough-Cut Capacity Planning (RCCP) and Capacity Requirement Planning (CRP) methods. As a result, the capacity meets the Master Production Schedule (MPS) as well as MRP and they are feasible to be implemented.
Computational Intelligence
N. Pradeep; K. K. Rao Mangalore; B. Rajpal; N. Prasad; R. Shastri
Abstract
Recommendation based systems can be used for recommending different web page, books, restaurants, tv shows, movies etc. The aim of movie recommendation system is to recommend movies to different users based on their interests. This helps the user to save time browsing the internet looking for movies ...
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Recommendation based systems can be used for recommending different web page, books, restaurants, tv shows, movies etc. The aim of movie recommendation system is to recommend movies to different users based on their interests. This helps the user to save time browsing the internet looking for movies from the thousand already existing ones. Content-based recommendation system describes the items that may be recommended to the user. Based on a data set, it predicts what movies a user will like considering the attributes present in the previously liked movies. Recommendation systems can recommend movies based on one or a combination of two or more attributes. While designing a movie recommendation system various factors are considered such as the genre of the movie, the director or the actors present in it. In this paper, the recommendation system has been built on cast, keywords, crew, and genres. A single column is created which will be the sum of all the 4 attributes, and it acts as a dominant factor for this movie recommender system.
Data Envelopment Analysis, DEA
Amir Reza Bazargan; Seyyed Esmaeil Najafi; Farhad Hosseinzadeh Lotfi; Mohammad Fallah
Abstract
The data envelopment analysis method is commonly used to measure efficiency. An estimate of the relative efficiency of this model is derived by calculating the ratio between inputs and outputs. Data envelopment analysis models can also be applied to network structures due to the extension of these models. ...
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The data envelopment analysis method is commonly used to measure efficiency. An estimate of the relative efficiency of this model is derived by calculating the ratio between inputs and outputs. Data envelopment analysis models can also be applied to network structures due to the extension of these models. Supply Chain Management (SCM) is a novel approach that governed production management in recent years. In complex and dynamic environments, the petrochemical industry requires an investigation system similar to those used by other organizations to inform about its activity's desirability, especially in complex and dynamic environments. This research focused on the petrochemical company supply chain. Laboratory studies, experts, and visits to petrochemical sites were used to identify production processes and determine indicators. After that, they were evaluated with an envelopment model and a coefficient corresponding to the identified petrochemical supply chain structure. The aggregate and componentwise efficiency of the studied units in petrochemical were also examined from 2016 to 2019.
Reliability and Quality Engineering
Rasoul Jamshidi; Mohammad Ebrahim Sadeghi
Abstract
As manufacturers and technologies become more complicated, manufacturing errors such as machine failure and human error have also been considered more over the past. Since machines and humans are not error-proof, managing the machines and human errors is a significant challenge in manufacturing systems. ...
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As manufacturers and technologies become more complicated, manufacturing errors such as machine failure and human error have also been considered more over the past. Since machines and humans are not error-proof, managing the machines and human errors is a significant challenge in manufacturing systems. There are numerous methods for investigating human errors, fatigue, and reliability that categorized under Human Reliability Analysis (HRA) methods. HRA methods use some qualitative factors named Performance Shaping Factors (PSFs) to estimate Human Error Probability (HEP). Since the PSFs can be considered as the acceleration factors in Accelerated Life Test (ALT). We developed a method for Accelerated Human Fatigue Test (AHFT) to calculate human fatigue, according to fatigue rate and other effective factors. The proposed method reduces the time and cost of human fatigue calculation. AHFT first extracts the important factors affecting human fatigue using Principal Component Analysis (PCA) and then uses the accelerated test to calculate the effect of PSFs on human fatigue. The proposed method has been applied to a real case, and the provided results show that human fatigue can be calculated more effectively using the proposed method.
Engineering Optimization
Sh. T. Alam
Abstract
The development of a product demands numbers of consideration and customer-based product dominates the present market. This study aims to formulate a customer-oriented product and investigate the optimum design parameters level for this formulation. The customer-oriented product named 'CNC PCB Plotter' ...
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The development of a product demands numbers of consideration and customer-based product dominates the present market. This study aims to formulate a customer-oriented product and investigate the optimum design parameters level for this formulation. The customer-oriented product named 'CNC PCB Plotter' – is proposed as a handy tool to make a single PCB within a short time and cost. In the sophisticated art of product design, the desires of the customer should be the only constraint. With this in mind, an organized approach is conducted to formulate the product. Suitable design parameters with their optimum ranges provide the sustainability of the product. Response Surface Methodology (RSM) is applied to determine the optimum level of design parameters. A 2-level 3 factorial Central Composite Design (CCD) provides the experimental trails. This research involves the customer demand and specifies the design parameter, such as cutting speed, feed rate, and depth of cut. The average dimensional accuracy is taken as a response and found 0.027 µm with a combination of cutting speed 53.676 m/min, feed rate 253.272 mm/min, and depth of cut 0.49.mm, which is found to be the optimum value.
Nazila Adabavazeh; Atefeh Amindoust; Mehrdad Nikbakht
Abstract
In any country's economy, the distribution is one of the most important industries and infrastructure. The industry's 8% portion of national income, explains the wide range of this industry and consequently the key role of this industry in the supply chain of many industries in the country. Not using ...
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In any country's economy, the distribution is one of the most important industries and infrastructure. The industry's 8% portion of national income, explains the wide range of this industry and consequently the key role of this industry in the supply chain of many industries in the country. Not using all the capabilities of the distribution network and ignorance about distribution enablers will lead to chain costs failure and increase supply. In today's condition, maintenance and continuity of activities in the distribution network are considered as important subjects in a supply chain, and the reliability of the distribution network in a supply chain is grounded in recognition of the enablers. Identifying and prioritizing the distribution network enablers precede the development and proper implementation of the strategies and plans of a distribution network. The fuzzy logic has become a convenient tool for prioritizing due to the necessity of the comprehensive view to the supply chain, the uncertain space of it, and inconsistency in the views of decision-makers. This research tries to identify and prioritize the empowerment in order to direct and supply resources and thus to increase the productivity and effectiveness of the country's industrial distribution network.The theoretical framework of the study is based on the extracted enablers from the literature and selecting a final set of them by using the Lawshe method. The group of experts is comprised of 11 experts in the welding and cutting industry. The enablers are prioritized using the fuzzy BWM method and Lingo software. The results indicate that the most influencing factor on the distribution network is "on-time delivery" and the "logistic infrastructures" factor is the least important among the factors. The resulted prioritization could be used as a guideline for a better perception of the activities related to the distribution network.
Innovation, knowledge management, and organizational learning
Vusumuzi Malele; Mhlambululi Mafu
Abstract
All engineering graduates must possess specific essential competencies when leaving universities to transition to the industry or be successful in the world of work. This paper adopts a literature review approach to synthesise available secondary data regarding creating harmony among engineering disciplines. ...
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All engineering graduates must possess specific essential competencies when leaving universities to transition to the industry or be successful in the world of work. This paper adopts a literature review approach to synthesise available secondary data regarding creating harmony among engineering disciplines. It uses the illustration of a vending machine to indicate how various engineering disciplines could be harmonised through the Learning Factory platform. Moreover, it provides some ideas for harmonising engineering disciplines. The main findings of this work suggest that the Learning Factory concept is a critical ideology that is worth implementing, especially by developing. The Learning Factory environment can produce well-rounded graduates capable of applying technical and non-technical skills to solve community challenges, including being entrepreneurial and innovative to drive economic growth and development. The paper concludes by providing insights demonstrating that the concept of a Learning Factory can also be utilized for addressing other engineering and industrial-related challenges.
Inventory, logistics, and transportation
Ch. G. Udoka
Abstract
The aim of this study is to examine the impact of passengers’ traffic on Exchange Rate (ER) and economic growth in Nigerian aviation industry. This study adopts an ex-post facto research design, a systematic empirical inquiry in order to carry out the research. Secondary data was obtained from ...
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The aim of this study is to examine the impact of passengers’ traffic on Exchange Rate (ER) and economic growth in Nigerian aviation industry. This study adopts an ex-post facto research design, a systematic empirical inquiry in order to carry out the research. Secondary data was obtained from the Federal Airports Authority of Nigeria (FAAN) and National Bureau of Statistics (NBS). The study employed trend analysis on the time series data and regression analysis to explore the cause-and-effect relationship among variables. The result showed that the trend of exchange rate and aviation contribution to Gross Domestic Product (GDP) have been on increase over certain periods. Hence, the linear trend line shows a steady increase in the pattern of exchange rate and economic growth over the sample period of 2000 to 2020 with R-squared values of 0.714 and 0.824, respectively indicating a good fit of the line to the data. The regression analysis revealed that Passengers’ Traffic (PT) has a positive impact on ER and economic growth. Thus, with a T-statistic of 3.296 and probability of 0.004, it indicates a statistically significant effect on the dependent variable (i.e. Exchange Rate). Also, with a T-statistic of 6.119 and probability of 0.000, it indicates a statistically significant impact on the dependent variable (i.e. Economic Growth).
