Requirements Of Management System Research Articles

Functional requirements of patient data management systems in intensive care medicine

As part of the German government's digitization initiative, the paper-based documentation that is still present in many intensive care units is to be replaced by digital patient data management systems (PDMS). In order to simplify the implementation of such systems, standards for basic functionalities that should be part of basic configurations of PDMS would be of great value. This paper describes functional requirements for PDMS in several categories. Criteria for standardized data documentation were defined by the authors and derived functional requirements were classified into two priority categories. Overall, general technical requirements, functionalities for intensive care patient care, and additional functionalities for PDMS were defined and prioritized. Using this paper as astarting point for adiscussion about basic functionalities of PDMS, it is planned to develop and obtain consensus on definitive standards with representatives from medical societies, medical informatics and PDMS manufacture.

Management Approaches to Health and Safety at Work during Prevention Intervention Planning.

This work deals with a systematic review of the literature data concerning the theme of integrated approaches to occupational health and safety management, with particular reference to the programming of assistance plans, which guide companies' organizational choices by also addressing the principles of Total Worker Health. In the current regulatory framework on this issue, the UNI ISO 45001: 2018 standard "Occupational health and safety management systems-Requirements and guidance for use" (published on 12 March 2018)" assumes relevance, defining dynamic approaches to occupational health and safety management systems-paying particular attention to external contextual factors that may influence corporate organizational decisions. The adoption of these systems is not mandatory but allows companies to fulfill their duties in terms of health and safety at work through an organizational approach aimed at the awareness, involvement, and participation of all subjects of the company prevention system, progressing past the phase of mere technological and prescriptive approaches towards a holistic vision of prevention that places the person at the center of preventive actions. In this context, the role of institutional networks and socio-economic partnerships assumes particular importance via the activation of territorial assistance interventions to support companies aimed at improving risk management levels. To this end, the importance of verifying the effectiveness of assistance interventions emerges from the scientific debate using indicators such as quantitative indicators aimed at measuring the performance of all phases of an intervention, with particular attention to their effects in terms of the improved solutions developed.

System identification and state estimation of a reduced-order electrochemical model for lithium-ion batteries

Lithium-ion batteries commonly used in electric vehicles are an indispensable part of the development process of decarbonization, electrification, and intelligence in transportation. From intelligent designing, manufacturing to controlling, an intelligent battery management system plays a crucial role in the long life, high efficiency, and safe operation of lithium-ion batteries. As a first-principle model, the electrochemical parameters of the electrochemical model have physical meanings and reflect the internal state of the lithium-ion batteries. The application of electrochemical models in an advanced intelligent battery management system is a future trend that promises to mitigate battery life degradation and prevent safety incidents. The reduced-order electrochemical model is expected to alleviate the requirements of advanced battery management systems for high accuracy and fast computing of lithium-ion battery models. However, the existing model order reduction methods have the drawbacks of high computational complexity and small application scope, so that inconvenient to apply onboard. In order to solve the existing obstacles, this paper applies the pseudo-spectral method to solve the solid-phase diffusion equation, while the liquid-phase concentration equation is simplified by the Galerkin method. Subsequently, a particle swarm optimization algorithm is used to identify 11 parameters of the electrochemical model. To further improve the accuracy of the electrochemical model, the above system identification method is applied to segment identification, especially for high or low state-of-charge (SoC) conditions in this study. Finally, based upon the derived model, estimation of SoC is performed using a particle filter. The results show that the proposed reduced-order electrochemical model achieves a low Mean Absolute Error (MAE) of 8.4 mV and a MAE of 0.54 % on estimation of SoC based on the envisaged particle filter. This work is expected to provide the basis for the subsequent development of lithium-ion battery electrochemical models with smaller identification parameters and faster identification processes.

Functional Requirements of Network Management System based on Simple Network Management Protocol

Functional Requirements of Network Management System based on Simple Network Management Protocol

Cloud-edge Collaboration Based Methods in Improving the Safety Inspection Efficiency on Electric Operation Scenes

The safety in electric operation scenes directly influences social economic development and stability. Safety supervision and inspection is one of the most important links in the electricity generation process. The previous mode of executing supervision and inspection in advance and analyzing and reporting afterwards cannot satisfy the requirements of the modern management system, which requests beforehand prevention, in-process control, post review, and analysis. The supervision and inspection efficiency is low. Therefore, this paper proposed three innovative methods to increase the supervision and inspection efficiency of the electric operation. First, we proposed an operation demonstration method on electric equipment that integrates with Augmented Reality (AR). It can greatly increase the operating accuracy and decrease the probability of accidents. Then, a smart, mobile, and cloud-edge collaborated method is proposed, aiming at increasing the availability and effectiveness of safety supervision and inspection. Last, we adopted technical means of integrative recognition to increase the efficiency of obtaining evidence on inspection.

Battery States Monitoring for Electric Vehicles Based on Transferred Multi-Task Learning

State/temperature monitoring is one of the key requirements of battery management systems that facilitates efficient and intelligent management to ensure the safe operation of batteries in electrified transportation. This paper proposes an online end-to-end state monitoring method based on transferred multi-task learning. Measurement data is directly used for sharing information generation with the convolutional neural network. Then, the multiple task-specific layers are added for state/temperature monitoring. The transfer learning strategy is designed to improve accuracy further under various application scenarios. Experiments under different working profiles, temperatures, and aging conditions are conducted to evaluate the method, which covers the wide usage ranges in electric vehicles. Comparisons with several benchmarks illustrate the superiority of the proposed method with better accuracy and computational efficiency. The monitoring results under extremely current working profiles and variable internal and external conditions are evaluated. Results show that the mean absolute error and root mean square error of state of charge and state of energy estimation are less than 2.31% and 3.31%, respectively. The above errors in the prediction of future temperature five steps ahead are less than 0.89℃ and 1.29℃, respectively. The framework is also suitable for monitoring second-life batteries retired from electric vehicles. This paper illustrates the potential application of data-driven multi-state monitoring throughout the entire battery life.

Measuring the availability of the requirements of the quality management system (ISO 9001:2015) clause leadership, performance, and planning: a case study

The study aims to identify the application of the criteria of a quality management system as defined by an international standard ISO 9001:2015. It analyzes the gap between the actual reality and the requirements of the specification that would raise the level of performance, preparing the selected factory to obtain a certificate of conformity with the specifications of the global standard ISO 9001:2015. This is achieved through identifying the strengths and weaknesses of the system, diagnosing the gap and finding ways to address such a gap. This study selected one of the prefabricated building factories which belongs to the Iraqi Ministry of Construction and Housing as the sample of the study. The data were collected using three methods, namely, field visits, records and documents and checklists. The collected data were, then, analyzed using percentages and weighted arithmetic means. The findings revealed that the application of the quality management system in the prefabricated building factory was estimated to be at 67.14%, which is close to being partially implemented and partially documented. This indicates there is a gap of about 32.86%; such a gap can be addressed through continuous improvement, management review of the system, problem-solving, and the documentation of some requirements.

Review of Occupational Health and Safety Management System and Hazards Controls in the Motion & Industrial Automation Products Manufacturing Industries

Occupational injuries are a major problem worldwide and affect all countries, particularly developing ones. In recent decades, the application of approaches such as the Occupational Health and Safety Management System (OHSMS) has led to the successful control of workplace injuries in high-income countries. The Occupational Health and Safety Assessment Series (OHSAS) 18001 as a world- recognized OHSMS has gained considerable acceptance by a large number of organizations. However, few studies have examined the effectiveness of ISO 45001on safety performance in certified organizations. This study consisted of four sub-studies, and was conducted to explore the effect of ISO 45001on the occupational injury, safety climate, and Occupational Health and Safety (OHS) practices in ISO 45001-certified companies compared with a control group in Iran. ISO 45001practices were also examined in the certified companies, where interviews were conducted to explore the influencing factors on the effectiveness of ISO 45001. A negative binomial regression indicated no significant effect of ISO 45001certification on the occupational injury rate. The second sub-study applied a new safety climate questionnaire, and a hierarchical regression indicated that the safety climate was influenced by the implementation of ISO 45001and safety training. The third sub-study pointed to the better OHS practices of the certified companies compared with the control ones. The results also showed that adopting the ISO 45001standard improved the documentation for the management of OHS, but did not lead to continuous improvement in the required practices. The evaluation of the collected evidence revealed the main reasons for a poor safety culture. The interviewees emphasized the internal and external influencing factors in the effectiveness of OHSAS including commitment of top management and the enforcement of OHS legal requirements. It can be concluded that the implementation of ISO 45001in an organization is not a guarantee of improved safety performance and of the existence of a high-quality management system. This study suggests that certified companies should focus on proper improvement and maintenance of the implemented management systems by escalating their commitment to the requirements of the established management systems and by participating their employees in ISO 45001practices. This study also emphasized the importance of providing safety training for employees who work in the certified companies. These efforts may help the companies in the creation of a good safety culture and the transforming the paper systems into effective management systems to make improvement in OHS performance. The aim of this report to assess and evaluate the effective implementation of occupational health & management system and hazards controls in the Motion & Industrial Automation products manufacturing Industries as per the relevant ISO standards and hierarchy of hazards controls, which is a system used in industry to minimize or eliminate exposure to hazards. Falls, chemical spills, fire, explosions, working at height, confined space working, mechanical material handling, etc. are few kinds of incidents that can happen in a manufacturing environment. Such incidents are not only tragic and frequently fatal for workers, but also extremely expensive for the employers. Between worker’s compensation, regulatory penalties, reduced/diminished productivity and the costs of fixing or replacing damaged equipment, a single incident can financially devastate a business. To avoid industrial accidents / catastrophes, keep your people from harm, ensure manufacturing compliance, and protect your bottom line, you need to get serious about safety. Manufacturing Safety is everything organizations does to ensure the physical well-being of the workers in the manufacturing facility or facilities. Manufacturing Safety is also about more than checking a few boxes or putting up ‘safety first’ signage.  Manufacturing Safety keeps people alive and unharmed.  Manufacturing Safety is also tied to workforce productivity.  Manufacturing Safety is an essential form of risk management.  Manufacturing Safety is a legal requirement.  Manufacturing Safety and Profitability go hand-in-hand. Safe companies perform better and sustain in the business longer that unsafe companies.

A global blockchain for recording high rates of COVID-19 vaccinations

Blockchain has been recently proposed to securely record vaccinations against COVID-19 and manage their verification. However, existing solutions may not fully meet the requirements of a global vaccination management system. These requirements include the scalability required to support a global vaccination campaign, like one against COVID-19, and the capability to facilitate the interoperation between the independent health administrations of different countries. Moreover, access to global statistics can help to control securing community health and provide continuity of care for individuals during a pandemic. In this paper, we propose GEOS, a blockchain-based vaccination management system designed to address the challenges faced by the global vaccination campaign against COVID-19. GEOS offers interoperability between vaccination information systems at both domestic and international levels, supporting high vaccination rates and extensive coverage for the global population. To provide those features, GEOS uses a two-layer blockchain architecture, a simplified byzantine-tolerant consensus algorithm, and the Boneh–Lynn–Shacham signature scheme. We analyze the scalability of GEOS by examining transaction rate and confirmation times, considering factors such as the number of validators, communication overhead, and block size within the blockchain network. Our findings demonstrate the effectiveness of GEOS in managing COVID-19 vaccination records and statistical data for 236 countries, encompassing crucial information such as daily vaccination rates for highly populous nations and the global vaccination demand, as identified by the World Health Organization.

A Framework for Cybersecurity Requirements Management in the Automotive Domain

The rapid development of intelligent connected vehicles has increased the attack surface of vehicles and made the complexity of vehicle systems unprecedented. Original equipment manufacturers (OEMs) need to accurately represent and identify threats and match corresponding security requirements. Meanwhile, the fast iteration cycle of modern vehicles requires development engineers to quickly obtain cybersecurity requirements for new features in their developed systems in order to develop system code that meets cybersecurity requirements. However, existing threat identification and cybersecurity requirement methods in the automotive domain cannot accurately describe and identify threats for a new feature while also quickly matching appropriate cybersecurity requirements. This article proposes a cybersecurity requirements management system (CRMS) framework to assist OEM security experts in conducting comprehensive automated threat analysis and risk assessment and to help development engineers identify security requirements prior to software development. The proposed CRMS framework enables development engineers to quickly model their systems using the UML-based (i.e., capable of describing systems using UML) Eclipse Modeling Framework and security experts to integrate their security experience into a threat library and security requirement library expressed in Alloy formal language. In order to ensure accurate matching between the two, a middleware communication framework called the component channel messaging and interface (CCMI) framework, specifically designed for the automotive domain, is proposed. The CCMI communication framework enables the fast model of development engineers to match with the formal model of security experts for threat and security requirement matching, achieving accurate and automated threat and risk identification and security requirement matching. To validate our work, we conducted experiments on the proposed framework and compared the results with the HEAVENS approach. The results showed that the proposed framework is superior in terms of threat detection rates and coverage rates of security requirements. Moreover, it also saves analysis time for large and complex systems, and the cost-saving effect becomes more pronounced with increasing system complexity.

Hazard identification and analysis during the production of natural roasted ground coffee according to the principles of HACCP

The article identifies and analyzes dangerous factors that may arise during the production of natural roasted coffee, which are an important element for the implementation of permanent procedures of the food safety management system according to the principles of HACCP. The responsibility and, at the same time, the mandatory task of every management of the enterprise is to guarantee quality at all critical points of the technological process of manufacturing food products, minimizing the risks of dangerous factors as much as possible. Natural roasted coffee production technologies are constantly changing, so the process of ensuring the analysis of all technological stages for the identification of biological, chemical and physical dangerous factors is continuous. Coffee undergoes the most changes during roasting, because a number of chemical reactions occur, resulting in the formation of new compounds, including potentially dangerous ones. Producers of natural roasted coffee can autonomously model parameters and modes of roasting raw materials in order to best ensure the aromatic and taste properties of coffee. According to EU requirements from 2018. coffee producers must minimize acrylamide formation, monitor acrylamide levels through sampling and research, and keep records of research results and mitigation measures. The conducted study determined the degree of risks by type of hazards (chemical, microbiological and physical) in accordance with the course of the technological process of preparation, roasting of natural coffee, including packing and labeling of packaging. Guided by current safety regulations and taking into account the reliable results of scientific research, acceptable (permissible) levels of risk are indicated. Assessment of the level of risks from dangerous factors during the production of natural roasted ground coffee is presented in the form of an algorithm, which can serve as a basic procedure method for simplifying the approach to implementing the requirements of the food safety management system. Due to the identification and analysis of dangerous factors, manufacturers have the opportunity to more objectively determine critical control points and establish their management measures, which will subsequently ensure the production of roasted ground coffee in accordance with safety and quality standards.

Разработка биометрической системы контроля и управления доступом на объектах АПК

According to the adopted "Information Security Doctrine of the Russian Federation", all information systems of energy facilities belong to the critical information infrastructure, therefore they require increased attention from the security side. Such facilities are subject to increased requirements for access control and management systems. Keywords: INFORMATION SECURITY, BIOMETRIC INDICATORS, ACCESS CONTROL SYSTEMS, SILHOUETTE OF THE HAND, IRIS OF THE EYE

Artificial Intelligence-Empowered Logistic Traffic Management System Using Empirical Intelligent XGBoost Technique in Vehicular Edge Networks

Recent advancements in computation and communication technologies and the increasing adoption of the Internet of Things (IoT) and Artificial Intelligence (AI) technologies have paved the way to tremendous developments in modern transportation systems. Driven by the massive number of connected vehicles and the stringent requirements of the public traffic management system, the transportation of data to and from the centralized cloud servers poses a great challenge. As a result, to meet the computational requirements and handle the massive amount of sensory data efficiently, the potential solution is to process/analyze the data at the edge of the network. Motivated by the challenges mentioned above, in this paper, we design a new empirically intelligent XGboost (EIXGB)-enabled logistic transportation system at the edge network for analyzing the data efficiently. Besides that, the proposed EIXGB technique intends to obtain real-time results based on the monitoring parameters of the public traffic management system with higher accuracy and minimum error. Extensive simulation results demonstrate the efficiency of the proposed EIXGB technique over the standard machine learning techniques using a set of parameters. The proposed technique achieves 87-97% accuracy over the different sets of features of a real-time dataset as per the simulation results.

Computer Vision on the Edge to Reduce Network Bandwidth Consumption and Computing Resources in Multi-view 3D Industrial Inspection without Hidden Surfaces

Industrial inspection industry requires high precision, fast and reliable systems, where images play a central role. These systems are composed by several hardware and also cyber-physical componentes where complexity increases when multiple heterogeneous sensor inputs are combined. Our 3D industrial inspection scanner is able to reconstruct complete objects without occlusion with use of multiple sensors and actuators using a complex software architecture. Our system allows increasing the throughput by removing the bottleneck network issue, decreasing network data transfer using a new edge systems architecture that segments and optimizes image transferring. Also, this work presents the results of applying technology developed during the FitOptiVis European ECSEL project. FitOptiVis will provide a reference architecture supporting composability built on suitable component abstractions and embedded sensing, actuation and processing devices adhering to those abstractions. The reference architecture will support design portability, on-line multi-objective quality and resource management and run-time adaptation guaranteeing system constraints and requirements based on platform virtualization. The FitOptiVis project will be applied to design the new architecture of the new edge components and develop the runtime system monitoring.

Remote assessment of quality, processing and economic criteria in qualification of suppliers to the meat packaging foil producer-A Greek case study.

Supervision over the suppliers of packaging as well as suppliers of raw materials for packaging production is important to ensure the quality and safety of meat products. The aim of this study was to verify the remote evaluation procedure of quality, processing and economic criteria in qualification of raw materials suppliers to the meat packaging foil producer during the Covid-19 pandemic. The evaluation was done remotely in terms of meeting some of the requirements of the quality management system (QMS) in conditions where regular audit could not be carried out. The survey was conducted in one of the biggest packaging foil producers in Greece via its supplier evaluation. The evaluation consisted of: 1/ economic criteria and 2/ quality and processing criteria. The highest and the lowest rated economic criteria were procedural compliance and price of raw materials. Among the quality and processing criteria, the highest score was given to warranties and claims policies and material quality, and the lowest one to lead time. The highest ratings obtained suppliers of raw materials directly involved in production, suppliers from Greece, the USA and Denmark, as well as suppliers to the R&D department. The results of the study showed that the quality of the raw materials directly used in the production of packaging foil was adequate. Therefore, their use ensure production of packaging foil and finally packaged meat products of adequate quality and safety. The presented procedure occurred to be useful for remote evaluation of quality, processing and economic criteria in qualification of suppliers during the Covid-19 pandemic. It may inspire other producers of food packaging materials to continuing supervision over their suppliers while regular methods of control are limited.

In-company training in a safety-critical industry: lessons from the aircraft industry

PurposeThis paper aims to investigate the in-company training according to the technologically demanding and safety-critical feature of the aircraft industry. This study addresses to the tension between the structured and the more incidental part of in-company learning in their training and learning environment.Design/methodology/approachAgainst the background of concepts of workplace learning from vocational training research and concepts of the safety management system from safety research, aircraft companies from England and Germany were visited. Data from interviews with training managers and trainees as well as non-participant observations are analysed.FindingsThe findings show that workplace vocational learning in this industry is guided by different measures to design the learning environment to prevent purely incidental and informal knowledge acquisition. However, the formalisation of informal learning process leads to a high expenditure of material, personnel and time resources. The findings show that trainers and training managers working together internationally creatively manage different training systems. The training activities are designed to convey the values of safety culture like responsibility, accuracy, transparent communication and reporting. The requirements of the safety management system are also met through the training.Research limitations/implicationsChallenges and tensions in the actual implementation of the training activities could not be identified. The people interviewed were selected by the companies, so there is a risk that certain perceptions are over-represented.Practical implicationsThe results show that the safety-critical industry needs its own pedagogical approach to workplace learning, which is not based on independent work processes in the workplace. Insights can be drawn for in-company training in other safety-critical industries too. However, to enable effective in-company learning, which at the same time strengthens the safety culture of the company, many resources must be used. The companies must consider all dimensions of work from the individual level to the work structure level.Originality/valueThis paper discusses the tension between formal and informal learning and shows the specific design of this tension on the basis of a concrete industry for the specific needs of this industry. The results lead to the realisation that the general discussion about workplace learning must be viewed in a differentiated way depending on the industry.

Description of the modules of an optimal requirements management system for working with aviation projects

The article provides information that reveals such concepts as requirement, requirements management. In particular, the necessary specifics for collecting requirements in aviation projects, the scheme for working with requirements, processing requirements, as well as necessary activities such as validation and verification are given. How the above processes interact with each other, as well as their attributes in the requirements management system. Data on the required level of rigor in the collection of requirements and their impact on certification processes are given. The purpose of the article is to show an approach to the development of a more mature requirements management system, to describe the necessary modules in the development of such a system. Show how the system can be divided into subsystems for more detailed study and organization of work with requirements. For each module of subsystems and the system as a whole, select data types and justify them.

АНАЛИЗ ЗАДАЧ УПРАВЛЕНИЯ ТРЕБОВАНИЯМИ К ПРОДУКЦИИ И КАЧЕСТВОМ ПРОДУКЦИИ

The article is devoted to the issues of product requirements management and product quality management in the aerospace industry. The relevance of the topic of requirements management and product quality is shown. The necessity of developing a model containing a formalized requirements management process with implemented quality management procedures is substantiated. The purpose of the research is to highlight the properties of the tasks of managing requirements for products and managing product quality and establishing the relationship between them. The tasks of managing requirements for products are considered on the example of designing a product as a key stage in the formation of requirements for manufactured products. The analysis of the tasks of product quality management is based on the process of quality control of manufactured products, as the process of establishing compliance the actual values of the parameters that describe the product with the requirements for this product. The article presents the structure and properties of the tasks of requirements management systems for products and product quality management based on the tandem model, the rules for the interaction of model elements are also given, and the place of tasks of quality management systems in solving the tasks of the requirements management system is established. The specifics of the key tasks of each of the systems are considered. The relationship between the tasks of quality management and product requirements management using the apparatus of tandem models is shown. The model of representation of the requirements management system and the product quality management system proposed in this article suggests the establishment of boundaries between the processes of these systems. The use of the apparatus of tandem models makes it possible to guarantee compliance with all requirements formed in the process of functioning of quality management and requirements management systems. The results obtained can be used to further formalization of quality management processes in order to form a methodology for designing a digital product quality management system in the aerospace industry.

Odpowiedzialność menedżerów w systemie zarządzania jakością

Responsibility of managers in the quality management system A certified quality management system is one of the sources of the company’s operational competitive advantage and a factor in the formation of the company’s operational value. In addition, it reduces operational risks associated with, among other things, producer liability and its consequences (marketing, financial). For meeting the requirements of the ISO standard for a quality management system, top management: bears the responsibility associated with specific roles (functional responsibility) and takes responsibility for decisions. In addition, it should act responsibly in the internal and external environment of the organization. In legal terms, responsibility is related to the accountability sanctions in the quality management system, which are derived from its requirements for top management. Accordingly, failure to meet the requirements of the quality management system can be considered an act to the detriment of the owners of the enterprise, for which managers are liable under the terms of the Labor Code.

Toward the Design of an Efficient and Secure System Based on the Software-Defined Network Paradigm for Vehicular Networks

The advent of Intelligent Transport Systems (ITS) has led to the appearance of vehicles increasingly connected to their environment on global road networks. Due to the strict requirements for low latency and secure interactions in a vehicular environment, the proposal of new architectures is a crucial topic for discussion. This paper aims to develop a vehicular network using several access technologies based on SDN (Software Defined Network) paradigm, to take advantage of the capacities of the various access networks and provide flexibility in their control and management. Confidentiality, integrity, and authentication are essential services to prevent an adversary from compromising the security of vehicular networks. Therefore, good security and privacy management system is necessary to ensure this protection. We represent then a hybrid SDN-VANET architecture that can address all of the challenges we mentioned earlier. We are in the process of implementing a dynamic approach to optimize the positioning of controllers according to changes in network topology due to fluctuations in road traffic. We will also detail the topology estimation service based on machine learning techniques to provide network control functions with potential insight into the future state of the network, unlocking proactive and intelligent network control. We also provide a scheme that prevents and informs about basic and compound attacks and reacts to the privacy and security conditions of the vehicular network, managing the requirements of security management systems. The simulation results showed the effectiveness of the proposed schemes in terms of message loss rates, packet delivery rates (PDR), Round Trip Time (RTT), and delays. With used our scheme, the performance of the network is improved when SDN triggers the change of the RSU entity. Such as, we notice that the average RTT is lowered by 68 ms and that the PDR remains around 94%. We also notice with the integration of the security and privacy scheme (SPS) that the performance of the network is improved, the average RTT is reduced by 51 ms and the PDR persists around 99%.