7,739 research outputs found

    Numerical study of circle fractal grid perforated plate as a turbulent generator in combustion chamber

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    Fractal grids can be used to design turbulent flows with low power losses and high turbulence intensities for intense yet economic mixing over a region of designed length and location. The introducing circle grid perforated plate is the main aim of this present paper. In this numerical work, we want to ascertain a new approach in turbulence generators on the structure of premixes flames using perforated plate fractal-grids pattern. In this paper, we compared circle grid perforated plate by varies using its diameters, spacing and number of holes on the plate. The result showed good perceptivity of the fractal generated turbulence and the fractal flow physics. The turbulent intensity can be increased by a grid with higher blockage ratio

    Дослідження системи операційного менеджменту організації, на прикладі Apple Computer, Inc

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    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

    Cross-chain collaboration in the fast moving consumer goods supply chain

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    Structuring postponement strategies in the supply chain by analytical modeling

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    Cloud manufacturing system for sheet metal processing

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    Cloud computing is changing the way industries and enterprises run their businesses. Cloud manufacturing is emerging as an approach to transform the traditional manufacturing business model, while helping the manufacturer to align production efficiency with its business strategy, and creating intelligent factory networks that enable collaboration across the whole enterprise. Many production planning and control (PPC) problems are essentially optimisation problems, where the objective is to develop a plan that meets the demand at minimum cost or maximum profit. Because the underlying optimisation problem will vary in the different business and operation phases, it is important to think about optimisation in a dynamic mechanism and in a number of interlinked sub-problems at the same time. Cloud manufacturing has the potential to offer decision support as a service and medium of communication in PPC. To solve these problems and produce collaboration across the supply chain, this paper provides an overview of the state of the art in cloud manufacturing and presents a model of cloud-based production planning and production system for sheet metal processing.fi=vertaisarvioitu|en=peerReviewed

    From supply chains to demand networks. Agents in retailing: the electrical bazaar

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    A paradigm shift is taking place in logistics. The focus is changing from operational effectiveness to adaptation. Supply Chains will develop into networks that will adapt to consumer demand in almost real time. Time to market, capacity of adaptation and enrichment of customer experience seem to be the key elements of this new paradigm. In this environment emerging technologies like RFID (Radio Frequency ID), Intelligent Products and the Internet, are triggering a reconsideration of methods, procedures and goals. We present a Multiagent System framework specialized in retail that addresses these changes with the use of rational agents and takes advantages of the new market opportunities. Like in an old bazaar, agents able to learn, cooperate, take advantage of gossip and distinguish between collaborators and competitors, have the ability to adapt, learn and react to a changing environment better than any other structure. Keywords: Supply Chains, Distributed Artificial Intelligence, Multiagent System.Postprint (published version
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