1,798 research outputs found
Дослідження системи операційного менеджменту організації, на прикладі Apple Computer, Inc
The object of investigation is the process of managing of operating activities of Apple, Inc.
The aim of the work is to formulate theoretical approaches and to develop practical recommendations on directions of improvement of operating management at the organization.
Research methods cover methods of analysis, synthesis, comparison, detailing, system approach.
This master’s research paper analyzes the operational management of Apple, Inc. and provides recommendations for it’s improvement. In particular, the main directions of solving the problems of operational management of the company have been outlined, the proposals on improvement of expansion distribution network and organization of innovative activity of the Apple Inc. have been made.Об'єкт дослідження ‒ процес управління операційною діяльністю компанії Apple, Inc.
Мета дослідження - формування теоретичних підходів та розробка практичних рекомендацій щодо напрямів вдосконалення системи операційного менеджменту компанії Apple, Inc.
Методи дослідження: методи аналізу, синтезу, порівняння, деталізації, системний підхід.
У роботі проведено аналіз операційного менеджменту Apple, Inc., а також викладені рекомендації щодо його вдосконалення. Зокрема, окреслено основні напрями вирішення проблем операційного менеджменту компанії, внесено пропозиції щодо розширення дистриб’юторської мережі, а також вдосконалення організації інноваційної діяльності Apple Inc.Introduction 6
CHAPTER 1 THE THEORETICAL FRAMEWORK OF OPERATIONAL
MANAGEMENT 8
1.1 Meanings and definition of operational management 8
1.2 Principles and methods of operations management 12
1.3 Factors affecting the Operations activity of Apple Inc. company 21
CHAPTER 2 RESEARCH AND ANALYSIS 31
2.1 Сompany introduction 31
2.2 SWOT - analysis of Apple Inc. Company 46
2.3 Analysis of operation management at Apple Inc 50
CHAPTER 3 RECOMMENDATIONS FOR IMPROVING OF OPERATIONAL MANAGEMENT AT THE APPLE INC 63
3.1 The main directions of solving operational management problems of the company 63
3.2 Recommendations concerning improvements of Distribution in the organization 65
3.3 Recommendations concerning improvements of innovative activity at the organization 67
CHAPTER 4 SPECIAL PART 73
4.1 Current trends in the field 73
4.2 Company policy in the market 75
CHAPTER 5 RATIONALE FOR RECOMMENDATIONS 77
5.1 Statement for recommendations at Company 77
CHAPTER 6 OCCUPATIONAL HEALTH AND SAFETY AT THE ENTERPRISE 79
6.1 The aim of occupational health 79
6.2 Organization of occupational health and safety at the enterprise 86
CHAPTER 7 ENVIRONMENTAL ISSUES 92
7.1 Environmental issues in the field 92
7.2 Еnvironmental factors 94
Conclusions 96
References 98
Appendices 10
Framework for supporting JavaScript-Based Mobile Agents
The evolution of technology in interconnection solutions, such as networks or the Internet, and the emergence both of wireless sensors networks and distributed systems allowed many communication architectures to appear, being the Client-server architecture the most common. Here, we present a dissertation work about the mobile agents computing paradigm. A middleware and a mobile agent framework have been developed using the JavaScript language that allows the development, execution and the ability to move JavaScript mobile agents through the local network and Internet using Node.js for desktop operating systems and React Native for mobile operating systems, such as Android and iOS. This initiative arose as a way of dealing with problems raised by the considerable amount of existing Java based mobile agents platforms, which force the installation of the Java Virtual Machine on the devices, making complicated its execution in operating systems like macOS, iOS and others operating systems not compatible with Java
Edge Computing for AI and ML: Enhancing Performance and Privacy in Data Analysis
Centralised cloud computing paradigms are encountering difficulties with latency, bandwidth, privacy, and security due to the exponential growth of data volumes produced by sensors and Internet of Things (IoT) devices. One potential approach to these constraints is edge computing, which moves computers and storage closer to the data sources. With this paradigm change, data privacy is improved, network congestion is decreased, and real-time processing is made possible. Aiming to improve the efficiency and confidentiality of data analysis applications powered by artificial intelligence (AI) and machine learning (ML), this article investigated the possibility of edge computing. We provide a thorough analysis of the latest developments in edge computing frameworks, algorithms, and architectures that allow for safe and fast training and inference of AI/ML models at the edge. We also go over the main obstacles and where the field may go from here in terms of research. Our research lays the groundwork for future intelligent edge systems by demonstrating the substantial advantages of edge computing in facilitating low-latency, energy-efficient, and privacy-preserving AI/ML applications.
 
Metaverse: A Vision, Architectural Elements, and Future Directions for Scalable and Realtime Virtual Worlds
With the emergence of Cloud computing, Internet of Things-enabled
Human-Computer Interfaces, Generative Artificial Intelligence, and
high-accurate Machine and Deep-learning recognition and predictive models,
along with the Post Covid-19 proliferation of social networking, and remote
communications, the Metaverse gained a lot of popularity. Metaverse has the
prospective to extend the physical world using virtual and augmented reality so
the users can interact seamlessly with the real and virtual worlds using
avatars and holograms. It has the potential to impact people in the way they
interact on social media, collaborate in their work, perform marketing and
business, teach, learn, and even access personalized healthcare. Several works
in the literature examine Metaverse in terms of hardware wearable devices, and
virtual reality gaming applications. However, the requirements of realizing the
Metaverse in realtime and at a large-scale need yet to be examined for the
technology to be usable. To address this limitation, this paper presents the
temporal evolution of Metaverse definitions and captures its evolving
requirements. Consequently, we provide insights into Metaverse requirements. In
addition to enabling technologies, we lay out architectural elements for
scalable, reliable, and efficient Metaverse systems, and a classification of
existing Metaverse applications along with proposing required future research
directions
Security Assessment of Select Computer Systems under Distributed Denial of Service Attacks Performed by Botnets
With the passage of time Internet connectivity has been found on more electronic devices than in previous decades. This continuous development may be perceived as a double-edged sword. While the world becomes more Internet-connected and quality of life increases, the lack of proper security protocols in some of these electronic devices permits illegitimate parties to take control of them for their own malicious purposes.
This thesis studies the impact of compromised Internet-connected devices on commonly used server operating systems: Microsoft’s Windows Server 2012 R2 Datacenter, Windows Server 2016 Datacenter, and Apple’s macOS 10.13.6 High Sierra deployed on Apple’s Mac Pro Server (Mac Pro Mid2010). Their performance under prevalent Distributed Denial of Service Attacks will be evaluated at equal attack traffic loads while utilizing three networks of simulated botnets. While the server was under attack connection rate, network traffic, processor utilization, processor temperature, and memory utilization were evaluated for computer systems under consideration
Alternative architecture approaches for distributed control of smart buildings
With the increasing distribution and density of devices in smart communities or buildings,
factors like reliability and integrity are put to the test in the resource and management processes
of automation platforms, when delegation of device control is intended. For this reason, there
is a need for an architecture that can address such challenges.
This work aims to study different approaches for distributed control in IoT (Internet of Things)
environments and their architectures, and it also intends to analyze how these approaches can
be installed and performed in the context of distributed control in smart building management
platforms.
The main goal of this dissertation is to design and compare alternative architectures for the
integration of building automation platforms envisaging the distributed management of
resources.
To achieve the aim of this dissertation, four integration alternatives have been proposed
combining two approaches for communication, MQTT and Rest API, with two placements of
communications services, in edge and cloud servers.
According to tests, all alternatives achieve the desired integration, and the best response time
result was 33.49ms when communicating via Rest API edge services. However, the integration
via Rest API left exposed items that could be undesirably controlled and, as such, it is less
secure. However, this is not the case when communication via MQTT, which presents an
acceptable response time of slightly over 100ms, whether using edge or cloud servers.Com a crescente distribuição e densidade de dispositivos em comunidade ou edifício
inteligente, fatores como fiabilidade e a integridade são postos à prova nos processos de gestão
de recursos e de plataformas de automação, quando se pretende delegar o controlo de
dispositivos. Por esta razão, existe a necessidade de uma arquitetura que possa responder a tais
desafios.
Este trabalho tem como objetivo estudar diferentes abordagens para controlo distribuído em
ambientes IoT (internet das coisas) e as respetivas arquiteturas, e pretende ainda analisar como
estas abordagens podem ser instaladas e executadas no contexto do controlo distribuído em
plataformas de gestão de edifícios inteligentes.
O principal objetivo desta dissertação é conceber e comparar arquiteturas alternativas para
integração de plataformas de automação de edifícios que prevejam a gestão distribuída de
recursos.
Para atingir o objetivo desta dissertação, foram propostas quatro alternativas de integração que
combinam duas abordagens de comunicação, MQTT e Rest API, com duas colocações de
serviços de comunicação, em servidores de borda e nuvem.
De acordo com os testes, todas as alternativas alcançam a integração desejada, sendo que o
melhor resultado de tempo de resposta foi de 33,49ms na comunicação via Rest API dos
serviços de borda. No entanto, a integração via Rest API deixa expostos itens que poderiam ser
controlados de forma indesejada e, como tal, é menos segura. Este não é o caso quando a
comunicação via MQTT apresenta um tempo de resposta aceitável de pouco mais de 100ms,
quer utilizando servidores de borda ou de nuvem
Elaborating validation scenarios based on the context analysis and combinatorial method: Example of the power-efficiency framework innomterics
open5siThis research project is carried out under the support of the Russian Science Foundation Grant No. 19-19-00623.The preliminary task of a project consists of the definition of the scenarios that will guide further development work and validate the results. In this paper, we present an approach for the systematic generation of validation scenarios using a specifically developed taxonomy and combinatorial testing. We applied this approach to our research project for the development of the energy-efficiency evaluation framework named Innometrics. We described in detail all steps for taxonomy creation, generation of abstract validation scenarios, and identification of relevant industrial and academic case studies. We created the taxonomy of the target computer systems and then elaborated test cases using combinatorial testing. The classification criteria were the type of the system, its purpose, enabling hardware components and connectivity technologies, basic design patterns, programming language, and development lifecycle. The combinatorial testing results in 13 cases for one-way test coverage, which was considered enough to create a comprehensive test suite. We defined the case study for each particular scenario. These case studies represent the real industrial, educational, and open-source software development projects that will be used in further work on the Innometrics project.openCiancarini P.; Kruglov A.; Sadovykh A.; Succi G.; Zuev E.Ciancarini P.; Kruglov A.; Sadovykh A.; Succi G.; Zuev E
Improving the First Impression of an Online Scientific Publishing Service: A Usability Test
A study of the Human-Oriented Technology Lab at Carleton University shows that users form an opinion (first impression) regarding a new website in 50 milliseconds (Lindgaard et al (2006)). Furthermore, the Halo effect causes that the first impression will be transferred on the whole organization. For this reason, it is very important to optimize a website before one starts with marketing activities. There is no thing as a second first impression. In this contribution, we analyse the website of a new scientific journal. The usability test covers 2 areas: The layout and the functionality of the website on a variety of devices (mobile devices (Android, iOS), Macs, PCs with different browsers)
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