Maintenance In Order Research Articles

АЛГОРИТМЫ ДИАГНОСТИРОВАНИЯ КОНСТРУКТИВНЫХ СИСТЕМ ВЫСОКОАВТОМАТИЗИРОВАННЫХ ТРАНСПОРТНЫХ СРЕДСТВ

The article is devoted to the formation of a comprehensive solution to the issue of managing the technical condition of a highly automated vehicle at all stages of its life cycle. The purpose of writing the paper is to publish the results on the development of algorithms, structural and mathematical models of diagnostics of structural systems of highly automated vehicle. Scientific novelty consists in the development of mechanisms of adaptive and effective man-agement of individualization of maintenance and repair regulations in order to ensure the opera-tional reliability of a highly automated vehicle and all its structural elements. The operational stage in the life cycle of a highly automated vehicle equipped with cyber-physical systems is considered. For the first time the concept of an individual maintenance and repair schedule (IMRS) is introduced, which allows to offer drivers/users of a highly automated vehicle an individual maintenance and repair program taking into account their style, driving mode and operating conditions.

Updating the criteria for assessing the state of the railway track according to the data of track measuring equipment

Introduction. One of the consequences of the introduction of the Instructions for Assessing the Condition of the Rail Track (enacted on February 28, 2020 No. 436/r) was an increase in the number of newly detected deviations from the norm of track maintenance and their reassignment as malfunctions. As a result, the number of kilometres with limited train speeds has increased by up to 3 times, which may lead to significant losses in transportation and an increase in the cost of the immediate track maintenance.Materials and methods. Data from a special thoroughfare of a diagnostic complex along the operating lines of Russian Railways were used to analyse the actual distribution of types and magnitudes of malfunctions, the number and causes of the speed limits. The authors used computer simulations to determine the dynamic indicators of cars in accordance with the algorithm of the deterministic method for calculating the movement of cars along the railway track.Results. The consequences for assessing the state of the track from the standards specified in Instruction 436/r are analysed. The authors present the results of mathematical modelling of the rolling stock interaction with the track, confirming the feasibility of the proposed changes in the standards: increasing the permissible speeds of passenger trains, assessing the gauge widening in curved sections, clarifying the estimates of unbalanced acceleration.Discussion and conclusion. It is proposed to change a number of standards for assessing deviations from the norms of track maintenance in order to reduce the number of speed limits.

The risk assessment of surface recession damage for architectural buildings in Italy

Limestone monuments are generally subjected to natural and anthropogenic environmental threats. This paper describes a methodology to assess the risk of surface recession damage, due to air pollution and meteorological factors, to architectural buildings in Italy. Through the elaboration of environmental data and information on conservation conditions of cultural heritage, three different risk models were identified: i) the territorial risk, obtained combining territorial hazard information with the density of historic buildings defined at municipal scale; ii) the individual risk, attained by overlapping territorial hazard data at municipal scale, with surface vulnerability and exposure information of a single monument; iii) the local risk, defined starting from the combination of territorial hazard at sub-municipal scale, with vulnerability and exposure information of a single monument. The first model refers to the risk of an aggregate of cultural assets located in a municipality, while the other two indicators identify the damage risk of a single monument at municipal and sub-municipal spatial scales. The proposed method was applied, using GIS (Geographical Information System) application, to identify the three risk models for Italian architectural buildings using environmental and monument conservation data updated to 2018. The territorial hazard was defined by assessing the material loss damage expressed as surface recession and quantified starting from air pollutant concentrations and meteorological data measured by the monitoring station network of Italy in 2018. The vulnerability and exposure information were extracted from the Italian Risk Map of Cultural Heritage system. The obtained results allowed to identify the potentially most aggressive areas from climatic and environmental point of view and the architectural buildings most exposed to surface recession risk. The methodology described in this paper can be therefore considered as a tool that can be used, by policy makers, to plan priority maintenance and conservation activities in order to reduce the progress and the intensity of decay on outdoor cultural properties.

The Correlation Between Uric Acid Levels (Photometer Method) And The Incidence of Hypertension in Prolanis Patients at Puskesmas Klirong II Kebumen Regency

Health service through Prolanis (Program Pengelolaan Penyakit Kronis or Chronic Disease Management Program in English) is a management program for health maintenance in order to achieve an optimal quality of life. One of the targets of prolanis is patients with hypertension. Hypertension can cause the blockage of uric acid crystals in blood vessels so that kidney function is disrupted. As a result, there is an increase in uric acid levels. Based on a preliminary study conducted on March 14, 2022, at Puskesmas Klirong II, it was found that 23 prolanis patients had complaints of joint pain, while 38 of them had hypertension. This research aimed to find out whether there is a correlation between uric acid levels and the incidence of hypertension in prolanis patients at Puskesmas Klirong II. The population was 50 people with a sample of 37 people. The sample was obtained by employing random sampling. This was an Analytical Observational research with a Cross-Sectional research design. The uric acid levels were checked with the Urikase-PAP photometer method. This research was conducted in May 2022. The results showed that 4 respondents had normal uric acid levels and normal blood pressure. On the other hand, there were 12 respondents who had normal uric acid levels and high blood pressure. Meanwhile, the other 21 respondents had high uric acid levels and high blood pressure. The results of the Fisher's Exact Test statistical test obtained a p-value = 0.028 <0.05. It was concluded that there was a correlation between uric acid levels (photometer method) and the incidence of hypertension in prolanis patients at Puskesmas Klirong II, Kabupaten Kebumen.

Microanalysis of metal slab used in motorway tunnels to protect concrete and assessment of the state of conservation

The metal slabs studied in this work are used to protect the walls of the motorway tunnels and to improve the lighting conditions inside the tunnel. Their installation causes an increase in the cost of the work, consequently, the coatings must be resistant to corrosion and must not require frequent maintenance in order to be functional for long periods. The material chosen to produce these artifacts is aluminum, but despite this metal being generally resistant to chemical attack, the analyzed coating still suffered corrosion. The sampled and analyzed slab was covered with white titanium-based paint on the side facing the street and a transparent protective resin on the side facing the wall. This preliminary study uses a different approach through microanalysis of metal slabs. For this reason, the corroded slab was studied through different analytical techniques (microscope, SEM-EDS, XRF and Raman analyses) in order to identify the causes of corrosion of the metal slab. The observations made it possible to hypothesize a corrosion process divided into different stages.

Diagnostic of Combined Mechanical and Electrical Faults in ASD-Powered Induction Motor Using MODWT and a Lightweight 1-D CNN

The early fault detection in the rotary electrical machines,such as induction motors (IMs), has been growing in modern industry. IMs have been widely used in industrial applications due to its easy installation, reliability, and low cost. However, the increasing usage of IMs also increases the need for timely maintenance in order to ensure their operation and a longer service life. This article proposes a new diagnosis methodology based on maximal overlap discrete wavelet transform and a lightweight 1-D convolutional neural network (CNN) architecture, in order to detect mechanical and electrical faults and their combination, in adjustable speed drive (ASD)-powered IMs. Specifically, single and combined faults were studied from the next: Outer raceway bearing (mechanical), turn-to-turn short-circuit, and phase-to-ground short circuit (electrical). The presented study was developed using current signals acquired from stators of IMs of 1 hp. The current signals are measured at powered conditions introduced by a power grid with a constant frequency at 60 Hz, and an ASD at three different frequencies. The proposed diagnostic methodology reaches more than 99% of accuracy.

Directions for reorganizing the Ministry of Education to establish the future-oriented educational governance

본 연구는 정부 조직개편 과정에서 교육부가 직면하고 거시적인 상황과 맥락에 대한 이해를 바탕으로 교육거버넌스 관점에서 교육부의 역할과 행태를 분석하고, 미래지향적 교육거버넌스를 지향하는 교육부의 역할과 기능의 조화를 통해 어떻게 재구조화할 것인지를 탐색적으로 기획하는 데 목적을 두었다. 정권교체기의 정부 조직개편 과정에서 나타나는 정치적 현상은 정치체제적 접근과 역사적 제도주의적 관점에서 조망될 수 있다. 본 연구에서는 역사적 제도주의 접근을 채택하여 정부 조직개편을 구조, 제도, 행위자 수준에서 분석하고 통합적으로 정부 조직개편의 거시적 맥락을 제시하고자 하였다. 구체적으로, 교육부 조직개편의 미시적 맥락을 이해하기 위하여 교육부 조직을 SWOT 분석을 실시하였고, 현재 교육부의 조직개편론을 폐지론, 통폐합론, 존치론으로 나누어 살펴보았다. 마지막으로, 교육부 조직개편에 대한 거시적·미시적 맥락에 대한 이해를 바탕으로 교육거버넌스 관점과 역할-기능 조화론을 채택하여 조직개편의 방향을 탐색하였다. 향후, 교육부 조직은 정부 조직개편 시즌에 종속변수로서 폐지와 존치의 갈림길에서, 과거의 경험처럼 적당히 중간 수준에서 통폐합되거나 적절한 수준에서 기능이 축소되는 타협적인 존치로 마무리될 가능성이 크다. 그러나 교육부 조직개편은 결과와 상관없이 시대사회적인 환경의 변화와 국가사회적 요구에 직면하여 어떤 형태로든 진행될 필요가 있다. 이에 교육부 조직개편은 곧 거버넌스 재구조화이며, 교육부가 존재해야 할 이유와 명분을 먼저 살피는 구조기능 재편에 선행하는 역할의 정립에 중점을 두어야 할 것이다. This study was intended to analyze roles and practice of the Ministry of Education from the perspective of educational governance, based on the understanding of macro-level situation and context facing the Ministry, and to plan in search for how to reorganize the Ministry with the harmony between its roles and functions. At the era of regime change, political phenomena appeared in the process of restructuring the governmental organization can be approached from the political system and historical institutionalism perspectives. This study analyzed the restucturing of governmental organization at the levels of structure, institution, and actor, and unitedly tried to understand its macro contexts. In detail, the study implemented the SWOT analysis on the Ministry organization and examined the restructuring into its abolition, merger, and maintenance in order to understand its micro contexts. Then the study adopted the perspectives of educational governance and role-function harmony for restructuring the Ministry organization and examined their characteristics and methods. At the crossroad of its abolition and maintenance the organization would be likely to be finished as a compromised maintenance in ways of integrating into some appropriate level of its large functions or minimizing its functions fewer. Regardless of its results, however, the Ministry reorganization needs to be continued, especially facing the times of changing societal environments and the demands of the nation and society. Therefore, what the Ministry reorganization call means its governance restructuring, so that it will focus on the establishments of its roles that care about the reasons and justification of why the Ministry should exist, ahead of arguing the reorganization of its structures and functions.

A LABVIEW AND INTERNET OF THINGS BASED AUTOMATION MEASUREMENT SYSTEM FOR MONITORING AND ANALYZING STRUCTURE

The civil infrastructure systems play a critical role in the world; however, their average age is becoming higher and higher. Most of these structures need inspection, maintenance or replacement in order to ensure safety requirement of structures as well as users. Structural health monitoring systems has drawn attention from many organizations to manage crucial structures. Applied programming and Internet of Things (IoT) has received a great attention in the last decades due to its potential and capacity to be integrated into any complex system. This paper presents the use LabVIEW, IoT platform and hardwares to build an automated measurement system. The proposed solutions are demonstrated in this paper will help building robust and reliable measurement systems for crucial applications. The measurement system is used to evaluate the health of structures through the changes of natural frequencies.

Gambaran Ketepatan Waktu Penyediaan Rekam Medis Rawat Jalan Di RSUP Fatmawati Tahun 2021

The hospital as a public health service institution is an important part that provides complete individual health services and provides inpatient, outpatient, and emergency services. Provision of medical records is a process of providing medical records starting from searching for medical records to sending medical records to the intended polyclinic for health services in accordance with health service standards. The purpose of this study was to get an overview of the timeliness of providing outpatient medical records at Fatmawati Hospital. In this study the authors decided to use a qualitative descriptive method which aims to describe the situation or field conditions regarding the occurrence of inaccuracies in the provision of outpatient medical records at Fatmawati Hospital. Based on Standard Operating Procedures, the provision of outpatient medical records at Fatmawati Hospital is <30 minutes (maximum 30 minutes), in this study it was found that the timely provision was 75.55%. With an average delivery time of 27,96 minutes. From this it is known that there is a gap related to the time delay in the process of providing medical records. Delays in the process of providing outpatient medical records are caused by factors including factors in the 5M management element which include man, machine, material, money, method. The staff's knowledge factor needs to be improved, the discipline of the supply officer is good but not optimal, the officer has not attended training on the timeliness of providing good medical records. The machine factor is the lack of number of outpatient medical record storage racks, and the lack of a trolley for the provision of medical records. The method factor is the need for periodic socialization of SOPs to remind officers' performance. The matherial factor requires trolly rejuvenation and good maintenance in order to function as it should. The money factor is that the budget should always be a priority that can be a support for the creation of good health services.

Machine Learning Approach for Predictive Maintenance of the Electrical Submersible Pumps (ESPs).

Electrical submersible pumps (ESPs) are considered the second-most widely used artificial lift method in the petroleum industry. As with any pumping artificial lift method, ESPs exhibit failures. The maintenance of ESPs expends a lot of resources, and manpower and is usually triggered and accompanied by the reactive process monitoring of multivariate sensor data. This paper presents a methodology to deploy the principal component analysis and extreme gradient boosting trees (XGBoosting) in predictive maintenance in order to analyze real-time sensor data to predict failures in ESPs. The system contributes to an efficiency increase by reducing the time required to dismantle the pumping system, inspect it, and perform failure analysis. This objective is achieved by applying the principal component analysis as an unsupervised technique; then, its output is pipelined with an XGBoosting model for further prediction of the system status. In comparison to traditional approaches that have been utilized for the diagnosis of ESPs, the proposed model is able to identify deeper functional relationships and longer-term trends inferred from historical data. The novel workflow with the predictive model can provide signals 7 days before the actual failure event, with an F1-score more than 0.71 on the test set. Increasing production efficiencies through the proactive identification of failure events and the avoidance of deferment losses can be accomplished by means of the real-time alarming system presented in this work.

Data fusion of multiple machine intelligent systems for the condition assessment of subway structures

Water intrusion through soil is considered the most significant structural issue and the major cause of concrete degradation in subway networks. An enormous amount of water infiltration may expedite the deterioration mechanisms, such as moisture marks, spalling, scaling, and cracks. These mechanisms can compromise the structural durability and jeopardize people’s safety. The condition assessment of concrete infrastructure is predominantly conducted based of visual inspection techniques, which are costly, time-consuming, and error prone. In this research, two main models for the condition assessment of subway networks are proposed. First, image processing techniques and machine intelligent systems are streamlined through successive operations to detect and quantify multiple surface defects automatically. Spatial and frequency domain filters are used to enhance the image clues, in tandem with artificial neural networks (ANNs) and regression analysis (RA) for defect recognition. The Monte Carlo simulation (MCS) is then leveraged to deliver advanced optimization and accurate estimation for each defect’s condition index in the subway element. The developed method was implemented on four stations in Montréal subway systems, whereby the performance of ANNs and RA was validated through R2 as 0.928 and 0.957, respectively. Moreover, the MCS forecast precision was recorded as 95% percentile, which proves the efficacy of the developed models. This research provides insights for infrastructure managers about maintenance and intervention plans in order to prioritize their spending policies.

Future Failure Time Prediction Based on a Unified Hybrid Censoring Scheme for the Burr-X Model with Engineering Applications

Industries are constantly seeking ways to avoid corrective maintenance in order to reduce costs. Performing regular scheduled maintenance can help to mitigate this problem, but not necessarily in the most efficient way. In many real life applications, one wants to predict the future failure time of equipment or devices that are expensive, or with long lifetimes, to save costs and/or time. In this paper, statistical prediction was studied using the classical and Bayesian approaches based on a unified hybrid censoring scheme. Two prediction schemes were used: (1) a one-sample prediction scheme that predicted the unobserved future failure times of devices that did not complete the lifetime experiments; and (2) a two-sample prediction scheme to predict the ordered values of a future independent sample based on past data from a certain distribution. We chose to apply the results of the paper to the Burr-X model, due to the importance of this model in many fields, such as engineering, health, agriculture, and biology. Point and interval predictors of unobserved failure times under one- and two-sample prediction schemes were computed based on simulated data sets and two engineering applications. The results demonstrate the ability of predicting the future failure of equipment using a statistical prediction branch based on collected data from an engineering system.

Penyuluhan Dan Pendampingan Masyarakat Tentang Produksi Jamur Tiram Di Desa Jambesari Kecamatan Jambesari Ds Kabupaten Bondowoso

Oyster Mushroom (Pleurotus ostreatus) is one of the commercially edible mushrooms, has high economic value and is prospective as a source of income for farmers. Along with the increasing demand for oyster mushrooms, business opportunities for oyster mushrooms have promising prospects. Based on this, it is necessary to provide counseling and assistance for the production of Oyster Mushroom cultivation in Jambesari Village. The purpose of this service program is through education and demonstrations on how to manufacture and process mushroom growing media (baglog), sterilize mushroom growing media inoculate mushroom seeds into baglog, maintenance, harvesting and packaging in order to build an oyster mushroom cultivation business to improve the community's economy and make it as a superior product. The results of community service in counseling and assisting in oyster mushroom production are: 1). Partners are able to make oyster mushroom growing media by utilizing organic waste which is abundant, cheap and easy to obtain from the surrounding environment, namely sawdust so that sengon wood waste can be utilized so that it can make the environment cleaner and free of waste. 2). Cadres/target groups have expertise in oyster mushroom cultivation. 3). Increasing public knowledge that oyster mushroom products can be used to add nutrition or menus can also increase family income.

Pervious Concrete: An Overview and Experimental Study

The present climatic changes are occurring because of the various activities of the humans such as urbanization and increasing threat of green-house gas (GHG) emissions resulted in precipitation increase in many geographical areas. In view of this, OPC based pervious concrete (PC) was developed in order to enhance the sustainability of the urban drainage systems (UDS). No fines concrete also coined as OPC based pervious concrete (PC) which is a versatile material with high porosity content applicable in flat work applications which allows the water from various sources such as precipitation and other sources to flow through and in turn recharges the ground water levels. Apart from these aspects, PC can significantly decrease the solar radiation absorption and urban heat storing potential which leads to the protection of the environment as well as the health and safety of the human beings. Generally, no fines concrete generally consists of cementitious paste to overlay the coarse aggregate which relates the vanderwall bond between the coarse aggregate and the cement. However, PC requires periodical maintenance in order to prevent any sort of clogging within the voids by the vegetation and sediments. In the present investigation, the overview of PC as well as the experimentation to study the mechanical strength characteristics by the utilization of industrial waste exhausts materials like fly ash. The study conferred that addition of fly ash to pervious concrete significantly enhances the mechanical strength characteristics of PC. An equation is proposed to establish a correlation between split-tensile strength and flexural strength of PC and it is in good agreement with the previous studies.

Development of a System Dynamics Simulation for Assessing Manufacturing Systems Based on the Digital Twin Concept

Historically, manufacturing system researchers and managers have often failed to consider all the areas, factors, and implications of a process within an integrated manufacturing model. Thus, the aim of this research was to develop an integral modeling approach for manufacturing processes in order to assess their status and performance. For this purpose, a novel conceptual model consisting of an integral definition of areas and flows is applied. As a result, manufacturing systems can be modeled, considering all related flows and decision-making options in the respective areas of production, maintenance, and quality. As a result, these models serve as the basis for the integral management and control of manufacturing systems in digital twin models for the regulation of process stability and quality with maintenance strategies. Thus, a system dynamics simulation model is developed for a metallurgical process. The goal of the simulation model is to provide a digital manufacturing system regulated with different maintenance, quality, and production strategies in order to secure quality and delivery service. The results show how the monitoring of all flows together with the optimal strategies in the quality and maintenance areas as a result of a regulated system can enable companies to increase their profitability and customer service level. In conclusion, the applied simulation case study allows better decision making, ensuring continuous optimization along the manufacturing asset lifecycle and providing a unique selling proposition for equipment producers and service engineering suppliers, as well as for production and assembly companies.

Morfologi Bahasa Melayu Manado

Indonesia as a country possess many local wisdoms as well as many variatyes of local languages. It has been the unvaluable richness which needs attention and prevention. The prevention is very valuable in the field of language maintenance in order to prevent the language vasihment in the form of written and oral. This article emphasized on the understanding of society toward the development of Manadonese Malay in the revitalization process. Morphological process of Manadonese Malay can be done by classifying the local language by using Nida’s theory.

Comparative environmental and social life cycle assessments of off-shore aquaculture rafts made in ultra-high performance concrete (UHPC)

PurposeThis paper aims to compare the environmental and social impacts of three types of rafts for mussel farming in Spain. These structures, traditionally made of wood, have a short lifespan and, because of their service conditions, require frequent maintenance in order to be fully operational. An innovative solution made with ultra-high performance concrete (UHPC) was developed in 2016 by RDC, being at the base of the pilots of the EU-funded project ReSHEALience (H2020-GA760824).MethodsIn order to quantify the environmental and social impacts generated by alternative solutions for the aquaculture raft, a life cycle approach has been used. The life cycle assessment methodology, according to ISO 14040 and ISO 14044 standards, has been used for the evaluation of the environmental impacts, while the social life cycle assessment (SLCA) methodology, according to the Guidelines for SLCA of Products and the social impact assessment method developed by Ciroth and Franze (2011), has been used for the evaluation of the social impacts: the same functional unit and the same stages of the life cycle to be included in the study has been set for the alternative solutions.Results and discussionBased on the LCA results, derived from the system boundary described in the “Goal and scope” section for the mussel aquaculture structures, the highest environmental impacts in the cradle-to-grave analysis are generated by the Traditional Raft with maintenance based on the periodic application of paints; the lowest environmental impacts are generated by the Traditional Raft with maintenance based on the progressive replacement of the damaged logs, while the Innovative Raft has an intermediate behavior in terms of environmental impact generation. Based on the S-LCA results, it can be stated that both the solutions generate high impacts; nevertheless, the Innovative solution has a slight lower impact than the Traditional solutions, which could be lowered if some precautions in the society policy are taken. Social hot-spots are identified in order to help reducing the overall social impacts.ConclusionsIn conclusion, it can be stated that, from both the environmental and social points of view, the Traditional Solutions for the aquaculture raft are the most “impactful,” especially when the maintenance is based on paint application. The use of innovative concretes allows to build longer lifespan rafts with minimum (or no) need of maintenance. Moreover, the behavior of new companies is more attentive to social aspects related to their activities and has a margin of improvement, when compared to traditional companies.

A hybrid ARIMA–WNN approach to model vehicle operating behavior and detect unhealthy states

As modern vehicles system becomes increasingly complex, there is an urgent need to develop a framework to monitor the behavior and detect the unhealthy states to appropriately arrange the maintenance in order to extend the vehicle life cycle. Sensors installed in vehicles are able to record a huge amount of multiple channel time series data. This paper develops a prediction model and an unhealthy state detection strategy for monitoring the behavior of the operating vehicle by analyzing multiple channel time series data channels. Due to the complexity of the underlying process of multiple channel time series data, a hybrid ARIMA–WNN model is proposed by combining the Auto-Regressive Integrated Moving Average (ARIMA) and Wavelet Neural Network (WNN) models. This model exploits the ARIMA capacity for predicting the unseen patterns without labeled historical data and WNN’s flexibility in analyzing different variations of time series data. Furthermore, a threshold-based anomaly detection strategy is developed to timely recognize the unhealthy states of the vehicle. To test the performance of the proposed hybrid ARIMA–WNN, a large scale multiple-channel time series data including three months of second-wise records of 101 channels of an operating vehicle is used. Results reveal the higher accuracy of the proposed ARIMA–WNN compared with the ARIMA and WNN models in modeling the behavior of different data channels. By estimating the proper distribution of the threshold, the proposed anomaly detection method is also efficient for identifying the unhealthy states of the vehicle.

Digital operations scheduling, workflow management, and performance measures of factors responsible for disruption in Industry 4.0 supply chain

With evermore digitization cyber security threats and risks are on the rise on which systems for businesses and automated services rely upon. The demand of optimal management and allocation of resources on time outpaces the traditional methods of IT security management. Therefore, an essential component of defense against cyber security disruptions in industry 4.0 is the identification and assessment of types of features of IT and cloud infrastructure directly or indirectly exploited in the intervention process. The usability of the enrolled employee may help analyze early detection of such malicious attempts into the system by tools and techniques available in applied statistics and mathematics. Therefore, optimization of all essential features, most importantly skilled manpower, time and cost of maintenance in order to arrange for best mitigation strategy for pre and post attack situation is covered in this work using introduction of models and performance metrics based on scheduling using heuristics.

The Development Of QMMS: A Case Study for Reliable Online Quiz Maker and Management System

The e-learning and assessment systems became a dominant technology nowadays and distribute across the globe. With severe consequences of COVID19-like crises, the key importance of such technology appeared in which courses, quizzes and questionnaires have to be conducted remotely. Moreover, the use of Learning Management Systems (LMSs), such as blackboard, eCollege, and Moodle, has been sanctioned in all respects of education. This paper presents an open-source interactive Quiz Maker and Management System (QMMS) that suits the research, education (under-grad, grad, or post-grad), and industrial organizations to perform distant quizzes, training and questionnaires with an integration facility with other LMS tools such as Moodle. The proposed system supports three basic levels: 1) administration, 2) instructors, and 3) learners at the micro-level teaching. The proposed system is adopted using .Net framework integrated with SQL-Server database engine that compromise between performance, security and stability. The proposed QMMS is described through different phases of Software Development Life Cycle (SDLC) including detailed analysis, design, implementation, testing, verification, and maintenance in order to exploit the importance of the analysis and design of LMS from the software engineering point of view. A comparative analysis, among the proposed system and a recent list of challenging ones, is presented in different aspects that shows the effectiveness, reliability and validity of proposed tool. Moreover, the proposed QMMS shows an enhancement ratio of up to 42.19% in response time perspective as compared to Moodle system in the case of massive concurrent transactions.