Дослідження управління багатонаціональною корпорацією, на прикладі компаніїb "Кока-Кола"

The main purpose of this research paper is to investigate system of management of multinational corporations and to give recommendations as for system of management at Coca-Cola Company. The main tasks of master research paper are the following: - To ascertain whether the multinational corporation are social responsible. - To ascertain whether the MNC in Nigeria have any contribution to the economic advancement of the nation. - To ascertain whether they contribute to the technological development of the countries. - To determine the environmental factors that influences the operations of the Multinationals Corporation Coca-Cola Company. - To give recommendations as for improvement of activity os Coca-Cola Company and industry of beverages.Master’s research paper critically evaluates the challenges Coca-Cola Company experiences while managing its operations in geographical and culturally diverse contexts. An overview of Coca-Cola Company and brief analysis of the global contemporary landscape is initially examined. A critical evaluation is conducted of the Global competitive, Political-Legal, Economic, Socio-cultural and Ethical challenges experienced by Coca-Cola Company. Ways to improve Coca-Cola's operations in the African markets were proposed.Introduction. 1. The theoretical framework and study of Multinational Corporation 1.1 Meanings and definition of Multinational Corporation 1.2 The managerial functions in international business 1.3 Important finding in managing Multinational Corporation 2. Research and analysis of Coca-Cola Company 2.1 Introduction to Coca-Cola Company 2.2 SWOT-analysis of the industrial and economic activity of Coca-Cola Company 2.3 Analysis of the system of management at Coca-Cola Company 3. Recommendations in management for Coca-Cola Company that operates in different geographical and cultural contexts 3.1 Recommendations as for the corporate social responsibly at Coca-Cola company 3.2 Recommendations as for using stevia in producing beverages at Coca-Cola Company 3.3 Recommendations as for strategic issues that Coca-Cola Company is facing today 4. Special part 4.1 Current trends in the field of Coca-Cola Company 4.2 Activities of multinational corporations in the development of Nigeria 5. Rationale for recommendations 5.1 Statement for recommendations at Coca-Cola Company 5.2 Recommendations as for using stevia in producing beverages at Coca-Cola Company 6. Occupational health and safety in emergencies 6.1 Safety and health for Coca-Cola Company 6.2 Protection against specific risks in safety and health 7. Environmental issues 7.1 Environmental impact of products in Coca-Cola Company 7.2 Coca-Cola sustainability plan Conclusions References Appendice

Komponenttien luokittelu ja parhaat käytännöt tuotantosimulaation mallinnuksessa

Production simulation software plays a major role in validation, optimization and illustration of production systems. Operation of production simulation is generally based on components and their interaction. Components typically represent factory floor devices, but in addition, there can be components to provide visualization, statistics, control or other input to simulation. The demand for having high-quality, easy-to-use and compatible components emphasizes the importance of component modelling. The objectives of this thesis were to develop component classes based on industrial devices, to standardize component modelling solutions and best practices in component modelling. Other objectives were to identify and analyse future prospects of production simulation. This focuses on the concept of digital twin, which could be described as reflective real-time simulation model from the physical system. In addition, focus is also set on formal modelling languages. The outcome of this thesis presents component classes and best practices in component modelling. In component classification, the focus was set to development of generic components, which can be controlled with signal-based logic. This enables components from the software to be externally controlled. In addition, automatic model creation tool wizard, is implemented to instantly generate components based on the defined component classes. Best practices were based on the selected modelling fields that are most relevant for general use. In the development of best practices, interviewing method was utilized to receive input from simulation experts.Tuotantosimulaatio on tärkeässä osassa tuotantojärjestelmien validoinnissa, optimoinnissa ja visualisoinnissa. Tuotantosimulaation toiminta perustuu yleisesti komponentteihin ja niiden väliseen vuorovaikutukseen. Komponentit esittävät tyypillisesti tehtaasta löytyviä laitteita ja esineitä, mutta komponentteja voidaan käyttää myös visualisointiin, statistiikan keräämiseen, järjestelmän ohjaukseen tai muuhun tarpeeseen simuloinnissa. Tämän diplomityön tavoitteita oli kehittää komponenttiluokkia teollisuudesta valittujen laitteiden perusteella, mikä mahdollistaa mallinnusratkaisujen standardoinnin. Sen lisäksi tavoitteena oli kehittää parhaat käytännöt komponenttimallinnukseen. Muita tavoitteita oli tunnistaa ja analysoida tulevaisuuden näkymiä tuotantosimulaatiolle. Tämä keskittyi pääosin digitaaliseen kaksoseen, jota voidaan kuvata reaaliaikaisesti peilautuvaksi simulaatiomalliksi todellisesta järjestelmästä. Tämän lisäksi työssä keskityttiin formaaleihin mallinnuskieliin. Diplomityön lopputulos esittää kehitetyt komponenttiluokat ja parhaat käytännöt komponenttimallinnuksessa. Komponenttien luokittelussa keskityttiin kehittämään geneerisiä komponentteja, joita voidaan ohjata signaalipohjaisilla komennoilla. Tämä mahdollistaa komponentin ohjaamisen myös simulointiohjelman ulkopuolelta. Tämän lisäksi automaattista komponenttien luomistyökalua käytettiin luokiteltujen komponenttien luomisessa. Parhaat käytännöt komponenttimallinnuksessa pohjautuivat mallinnuksen oleellisimpiin osa-alueisiin tavanomaisissa mallinnustilanteissa. Parhaiden käytäntöjen kehityksessä haastateltiin simulointiammattilaisia, joiden mielipiteistä muodostettiin perusta käytäntöjen kehitykselle

Komponenttien luokittelu ja parhaat käytännöt tuotantosimulaation mallinnuksessa

Production simulation software plays a major role in validation, optimization and illustration of production systems. Operation of production simulation is generally based on components and their interaction. Components typically represent factory floor devices, but in addition, there can be components to provide visualization, statistics, control or other input to simulation. The demand for having high-quality, easy-to-use and compatible components emphasizes the importance of component modelling. The objectives of this thesis were to develop component classes based on industrial devices, to standardize component modelling solutions and best practices in component modelling. Other objectives were to identify and analyse future prospects of production simulation. This focuses on the concept of digital twin, which could be described as reflective real-time simulation model from the physical system. In addition, focus is also set on formal modelling languages. The outcome of this thesis presents component classes and best practices in component modelling. In component classification, the focus was set to development of generic components, which can be controlled with signal-based logic. This enables components from the software to be externally controlled. In addition, automatic model creation tool wizard, is implemented to instantly generate components based on the defined component classes. Best practices were based on the selected modelling fields that are most relevant for general use. In the development of best practices, interviewing method was utilized to receive input from simulation experts.Tuotantosimulaatio on tärkeässä osassa tuotantojärjestelmien validoinnissa, optimoinnissa ja visualisoinnissa. Tuotantosimulaation toiminta perustuu yleisesti komponentteihin ja niiden väliseen vuorovaikutukseen. Komponentit esittävät tyypillisesti tehtaasta löytyviä laitteita ja esineitä, mutta komponentteja voidaan käyttää myös visualisointiin, statistiikan keräämiseen, järjestelmän ohjaukseen tai muuhun tarpeeseen simuloinnissa. Tämän diplomityön tavoitteita oli kehittää komponenttiluokkia teollisuudesta valittujen laitteiden perusteella, mikä mahdollistaa mallinnusratkaisujen standardoinnin. Sen lisäksi tavoitteena oli kehittää parhaat käytännöt komponenttimallinnukseen. Muita tavoitteita oli tunnistaa ja analysoida tulevaisuuden näkymiä tuotantosimulaatiolle. Tämä keskittyi pääosin digitaaliseen kaksoseen, jota voidaan kuvata reaaliaikaisesti peilautuvaksi simulaatiomalliksi todellisesta järjestelmästä. Tämän lisäksi työssä keskityttiin formaaleihin mallinnuskieliin. Diplomityön lopputulos esittää kehitetyt komponenttiluokat ja parhaat käytännöt komponenttimallinnuksessa. Komponenttien luokittelussa keskityttiin kehittämään geneerisiä komponentteja, joita voidaan ohjata signaalipohjaisilla komennoilla. Tämä mahdollistaa komponentin ohjaamisen myös simulointiohjelman ulkopuolelta. Tämän lisäksi automaattista komponenttien luomistyökalua käytettiin luokiteltujen komponenttien luomisessa. Parhaat käytännöt komponenttimallinnuksessa pohjautuivat mallinnuksen oleellisimpiin osa-alueisiin tavanomaisissa mallinnustilanteissa. Parhaiden käytäntöjen kehityksessä haastateltiin simulointiammattilaisia, joiden mielipiteistä muodostettiin perusta käytäntöjen kehitykselle

Private equity challenge - acquiring Vetropack

This Work Project, in the form of an Investment Committee Paper was prepared by 4 students and consists of a proposal for a leveraged buy out of Vetropack Holding AG, a food and beverage glass pack aging manufacturer based in Switzerland with top european performance in particular in Central Europe. Following a deep analysis of the market and the company it was possible to identify growth opportunities vertical and horizontally to develop a strong value creation strategy backed by an optimal capital structure to realize an IRR of 25.9% and a Money Multiple of 4.9 x over the 7- year holding period

Productive Development Policies in Trinidad and Tobago: A Critical Review

Even as Trinidad and Tobago seeks productive diversification away from the energy sector, the process underlying the country’s productive development policies (PDP) is in a state of transition from state-directed industrial policy to a newer approach with extensive private-public participation. This study explores the main characteristics of four PDPs in Trinidad and Tobago and reviews them following the related literature (e.g., Rodríguez-Clare, 2005a and 2005b, and Melo and Rodríguez-Clare, 2006). The four PDPs are: a) The process towards the Promotion of Clusters; b) the PDPs for the Tourism industry; c) the classical PDPs for Micro, Small and Medium Enterprises and; d) the Free Trade Zone as a policy designed to compensate for the failure of the State.Industrial policy, Productive development policies, Diversification, Caribbean, Trinidad and Tobago

Food Industry 4.0 readiness in Hungary

In terms of production value, the food industry is the third-largest in Hungary, the first in Hungary in terms of the number of employees, and the first in Europe in the processing industry, as well as a significant user of resources. The research examined the state of art of digitalization readiness, focusing on I4.0 technologies, which supports the management to operate more efficiently the enterprise and to make better decisions. So the focus was on integrated enterprise information systems, management support systems, business intelligence systems, industry 4.0 technologies, and issues related to their application. The analysis based on an online questionnaire survey the request sent to 4.600 enterprises, the response rate was 5% which was representative of the branches of production, covered the Hungarian food and beverage manufacturing sectors in 2019. The companies were asked the most critical technologies in development, going towards Industry 4.0. The research tools were LimeSurvey, Mailing List Server, Excel, Power BI (Desktop, Publishing Server to distribute the results). The used analysing methods were making calculations, pivot tables, models, dasboards. We found that a significant portion of businesses, 78 %, use mobile devices in the manufacturing process. The three most relevant digital technologies are geolocating (GPS, GNSS), cloud computing, and sensor technology. The current level of digitalization and integration cannot be said to be high, but respondents are very optimistic about expectations. Improvements are expected in all areas in the next 2-3 years in terms of digitalisation and integration. Vertical integration involves, first and foremost, cooperation with partners in the supply chain. Horizontal integration means close, real-time connectivity and collaboration within the company. Unfortunately, between 6% and 15% of SMEs (approximately 9% on average) and large enterprises, 36% have a digital strategy. According to the survey, the sector needs significant improvement and creating a digitalization strategy.In terms of production value, the food industry is the third-largest in Hungary, the first in Hungary in terms of the number of employees, and the first in Europe in the processing industry, as well as a significant user of resources. The research examined the state of art of digitalization readiness, focusing on I4.0 technologies, which supports the management to operate more efficiently the enterprise and to make better decisions. So the focus was on integrated enterprise information systems, management support systems, business intelligence systems, industry 4.0 technologies, and issues related to their application. The analysis based on an online questionnaire survey the request sent to 4.600 enterprises, the response rate was 5% which was representative of the branches of production, covered the Hungarian food and beverage manufacturing sectors in 2019. The companies were asked the most critical technologies in development, going towards Industry 4.0. The research tools were LimeSurvey, Mailing List Server, Excel, Power BI (Desktop, Publishing Server to distribute the results). The used analysing methods were making calculations, pivot tables, models, dasboards. We found that a significant portion of businesses, 78 %, use mobile devices in the manufacturing process. The three most relevant digital technologies are geolocating (GPS, GNSS), cloud computing, and sensor technology. The current level of digitalization and integration cannot be said to be high, but respondents are very optimistic about expectations. Improvements are expected in all areas in the next 2-3 years in terms of digitalisation and integration. Vertical integration involves, first and foremost, cooperation with partners in the supply chain. Horizontal integration means close, real-time connectivity and collaboration within the company. Unfortunately, between 6% and 15% of SMEs (approximately 9% on average) and large enterprises, 36% have a digital strategy. According to the survey, the sector needs significant improvement and creating a digitalization strategy

Artificial Intelligence Advancements for Digitising Industry

In the digital transformation era, when flexibility and know-how in manufacturing complex products become a critical competitive advantage, artificial intelligence (AI) is one of the technologies driving the digital transformation of industry and industrial products. These products with high complexity based on multi-dimensional requirements need flexible and adaptive manufacturing lines and novel components, e.g., dedicated CPUs, GPUs, FPGAs, TPUs and neuromorphic architectures that support AI operations at the edge with reliable sensors and specialised AI capabilities. The change towards AI-driven applications in industrial sectors enables new innovative industrial and manufacturing models. New process management approaches appear and become part of the core competence in the organizations and the network of manufacturing sites. In this context, bringing AI from the cloud to the edge and promoting the silicon-born AI components by advancing Moore’s law and accelerating edge processing adoption in different industries through reference implementations becomes a priority for digitising industry. This article gives an overview of the ECSEL AI4DI project that aims to apply at the edge AI-based technologies, methods, algorithms, and integration with Industrial Internet of Things (IIoT) and robotics to enhance industrial processes based on repetitive tasks, focusing on replacing process identification and validation methods with intelligent technologies across automotive, semiconductor, machinery, food and beverage, and transportation industries.publishedVersio

Potential Impact of Industry 4.0 in Sustainable Food Supply Chain Environment

Integration of suitable supply chain system with the industry 4.0 in the face of the evolving sustainability consciousness is of paramount importance to engineering and manufacturing industry at large; this is gradually becoming an irresistible option to manage production effectively and with high efficiency in engineering and manufacturing sector. Industry 4.0 also referred to as “smart factory” enables to address issues such as food safety, security, control, perishability, competitive pressure, demand predictions etc. within the food manufacturing aspects. The paper examines the challenges and opportunities towards the advancement of technology and that of industry 4.0 implications towards sustainability and more closely on sustainable food supply chain environments

An AHP Framework to Evaluate Barriers and Potential Tensions to Green Supply Chain Management in the Food and Beverage Industry

With an increasing awareness of climate change and the need for sustainable processes, a growing number of studies have addressed green supply chain management (GSCM), its drivers, barriers, and implementation frameworks. However, despite the importance of environmental practices, industries are reluctant to implement GSCM activities, as many obstacles can arise while initiating GSCM in traditional supply chain management (TSCM). The previous literature review indicated substantial research on the barriers that hinder the adoption of green activities. To the best of our knowledge, no previous research has assessed the tensions and conflicts that may arise among collaborating actors, which can also hinder the adoption of environmental business practices. In particular, there is a notable gap in research that investigates the green- supply-chain issues in the Egyptian food and beverage manufacturing sector. In this paper, we went a step ahead to investigate these issues and to explore how GSCM barriers cause tensions among collaborating actors. Hence, the purpose of this paper is to investigate the barriers and tensions that impede the implementation of GSCM in the Egyptian food and beverage industry (FBI).  In our methodology, we targeted three large food and beverage multinational companies located in Egypt. Barriers and types of tensions were identified through the literature review. Data collection consisted of three phases. For the primary source of data, a qualitative method was utilized for semi-structured interviews, followed by a questionnaire survey. Furthermore, a decision group was formed to collect and validate the data. Using the analytic hierarchy process (AHP), this study categorised the identified barriers based on the relevant type of tension and explored how such barriers can create tension among various stakeholders. Thirty-nine barriers and 11 types of tension were identified through the literature review and discussion with experts. Of the total number of identified barriers, 18 were identified as common. Based on the AHP results, the category of economic tensions had the most importance. The barrier related to inflation and the currency exchange rate was the most significant among the 18 barriers and was the main driver of economic tensions. Our findings suggest that the economic instability of countries can affect the implementation of GSCM.  This is the first study that combines barriers and tensions among stakeholders as impediments toward adopting green environmental practices. This study provides a new approach to the literature, giving insight into the tensions that could delay or prevent the adoption of green business activities, an approach that could be a scientific breakthrough for upcoming studies. Finally, this study can help the Egyptian FBI to identify the main issues that could hinder the transition from TSCM to GSCM. Keywords: Green supply chain management; analytical hierarchy process; barrier analysis; tensions; food and beverage industry DOI: 10.7176/EJBM/13-6-01 Publication date:March 31st 202