Performance impact of the application of castor oil biodiesel in diesel engines

The use of renewable fuels, such as the biodiesel, can ease the demand of fossil fuel for the power generation and transportation fields in rural area. In this work, the performance impact of the application of castor oil biodiesel is evaluated with an automotive and a stationary diesel engine. The application of B20 and B10 biodiesel blends and pre-heated net biodiesel is considered. The viability of the employment of B10 and B20 blends to mobility and power generation was observed from dynamometric bench tests, where this blends performed similar to fossil diesel. With the pre-heated net biodiesel, however, a brake torque loss and a specific consumption increase were observed with relation to diesel fuel.

Financial losses in pork supply chain: a study of the pre-slaughter handling impacts

Brazil is amongst the world’s largest swine producers. However, its competitiveness has been vulnerable due to a lack of cooperation between the supply chain players. This condition makes the financial losses to be evaluated taking into account only an individual node, and most of the time, these damages are imputed by swine breeders. Living weight losses occur between the farm to slaughterhouses, and the main cause of these losses is the pre-slaughter handling, especially during animal transportation. In this research, we analyzed the pre-slaughter handling in a swine farm in Brasilândia, MS, Brazil. Analyzed data were provided by five slaughterhouses (farm clients) from the studied region, in which it was considered living weight losses, carcass bruising, animal injury, and death rate. The results indicated that total financial losses represent 160 thousand dollars per year, when taking into account the supply chain management.

Fuzzy rule-based system for evaluation of uncertainty transaction in cassava chain

A fuzzy ruled-based system was developed in this study and resulted in an index indicating the level of uncertainty related to commercial transactions between cassava growers and their dealers. The fuzzy system was developed based on Transaction Cost Economics approach. The fuzzy system was developed from input variables regarding information sharing between grower and dealer on “Demand/purchase Forecasting”, “Production Forecasting” and “Production Innovation”. The output variable is the level of uncertainty regarding the transaction between seller and buyer agent, which may serve as a system for detecting inefficiencies. Evidences from 27 cassava growers registered in the Regional Development Offices of Tupa and Assis, São Paulo, Brazil, and 48 of their dealers supported the development of the system. The mathematical model indicated that 55% of the growers present a Very High level of uncertainty, 33% present Medium or High. The others present Low or Very Low level of uncertainty. From the model, simulations of external interferences can be implemented in order to improve the degree of uncertainty and, thus, lower transaction costs.

Marketing-Sales Cooperation and its Relation on Direct Sales Performance: an Example of a Medium-sized Oil Company

The study touches upon marketing-sales departments’ cooperation and investigates marketing-sales cooperative model within the case company. So that research increases understanding of linkages between Marketing and Sales departments with an illustrative example of Russian medium-sized oil company (LLC Neste St. Petersburg), the subsidiary of Finnish-based Neste Oil. The empirical study is done from marketing and sales perspectives. And for sales main attention was brought to direct sales, both B2B and B2C. Research considers all five domains of cooperation, and among others, study reveals the attitude towards external (market) and internal (product) knowledge, and its mutual use by marketing and sales managers. A qualitative research method, participant observations, and in-depth interviews with upper-management made it possible to explore all facets of joint work. Moreover, research responses the changes in a model of cooperation between marketing and sales when moving from medium size to large company.

Corporate Social Responsibility in the Oil and Gas Industry: Environmental Management Systems as a Source of Sustainable Development

The environmental aspect of corporate social responsibility (CSR) expressed through the process of the EMS implementation in the oil and gas companies is identified as the main subject of this research. In the theoretical part, the basic attention is paid to justification of a link between CSR and environmental management. The achievement of sustainable competitive advantage as a result of environmental capital growth and inclusion of the socially responsible activities in the corporate strategy is another issue that is of special significance here. Besides, two basic forms of environmental management systems (environmental decision support systems and environmental information management systems) are explored and their role in effective stakeholder interaction is tackled. The most crucial benefits of EMS are also analyzed to underline its importance as a source of sustainable development. Further research is based on the survey of 51 sampled oil and gas companies (both publicly owned and state owned ones) originated from different countries all over the world and providing reports on sustainability issues in the open access. To analyze their approach to sustainable development, a specifically designed evaluation matrix with 37 indicators developed in accordance with the General Reporting Initiative (GRI) guidelines for non-financial reporting was prepared. Additionally, the quality of environmental information disclosure was measured on the basis of a quality – quantity matrix. According to results of research, oil and gas companies prefer implementing reactive measures to the costly and knowledge-intensive proactive techniques for elimination of the negative environmental impacts. Besides, it was identified that the environmental performance disclosure is mostly rather limited, so that the quality of non-financial reporting can be judged as quite insufficient. In spite of the fact that most of the oil and gas companies in the sample claim the EMS to be embedded currently in their structure, they often do not provide any details for the process of their implementation. As a potential for the further development of EMS, author mentions possible integration of their different forms in a single entity, extension of existing structure on the basis of consolidation of the structural and strategic precautions as well as development of a unified certification standard instead of several ones that exist today in order to enhance control on the EMS implementation.

Improving strategic decision-making with simulation based decision support systems

Combating climate change is one of the key tasks of humanity in the 21st century. One of the leading causes is carbon dioxide emissions due to usage of fossil fuels. Renewable energy sources should be used instead of relying on oil, gas, and coal. In Finland a significant amount of energy is produced using wood. The usage of wood chips is expected to increase in the future significantly, over 60 %. The aim of this research is to improve understanding over the costs of wood chip supply chains. This is conducted by utilizing simulation as the main research method. The simulation model utilizes both agent-based modelling and discrete event simulation to imitate the wood chip supply chain. This thesis concentrates on the usage of simulation based decision support systems in strategic decision-making. The simulation model is part of a decision support system, which connects the simulation model to databases but also provides a graphical user interface for the decisionmaker. The main analysis conducted with the decision support system concentrates on comparing a traditional supply chain to a supply chain utilizing specialized containers. According to the analysis, the container supply chain is able to have smaller costs than the traditional supply chain. Also, a container supply chain can be more easily scaled up due to faster emptying operations. Initially the container operations would only supply part of the fuel needs of a power plant and it would complement the current supply chain. The model can be expanded to include intermodal supply chains as due to increased demand in the future there is not enough wood chips located close to current and future power plants.

Development of a Radiometer Front End for Detection of Oil Spill on Sea Surface

Kaikki kappaleet säteilevät sähkömagneettista energiaa. Radiometreillä voidaan mitata tätä säteilyä, ja mittausten avulla voidaan kaukokartoituksessa analysoida monia ilmakehään ja maan pintaan liittyviä ilmiöitä. Säteilyä kerätään useimmiten radiometriin kytketyn antennin avulla. Mikroaaltoalueella säteilystä saatava teho on verrannollinen kohteen kirkkauslämpötilaan. Kirkkauslämpötila on puolestaan verrannollinen kohteen fyysiseen lämpötilaan materiaalin emissiivisyyden kautta. Emissiivisyys voi vaihdella suuresti eri pintojen ja materiaalien välillä. Näin ollen mittaamalla kohteen kirkkauslämpötilaa saadaan tietoa sen ominaisuuksista. Mikroaaltoradiometrin avulla voidaan havaita öljyläikkä meren pinnalta, sekä määrittää öljyläikän paksuus. Öljy muodostaa ohuen kalvon meren pinnalla. Ohuen kalvon ylä- ja alapinnasta heijastuneet aallot kulkevat eri matkan, jonka seurauksena muodostuu interferenssikuvio. Interferenssi on joko konstruktiivinen tai destruktiivinen riippuen heijastusten vaihe-erosta. Pistetaajuudella tästä seuraa kalvon paksuudesta riippuva sinimuotoinen emissiivisyys. Mallintamalla tämä ilmiö riittävän tarkasti voidaan radiometrin mittaamaa kirkkauslämpötilaa verrata mallinnettuun arvoon ja täten määrittää öljykerroksen paksuus. Tässä työssä esitetään kahden radiometrin suunnittelu ja testaus. Työ rajoittuu radiometrien alustavaan testausvaiheeseen. Radiometrit on suunniteltu 36,5GHz sekä 89GHz taajuuksille. Työn suurin kontribuutio on radiometrien etupään suunnittelussa ja testauksessa, kalibraatiomenetelmien kehittämisessä sekä kylmäkuorman suunnittelussa. Lisäksi työssä esitetään radiometrien systeemisuunnittelu sekä siihen liittyvät simulaatiot.

Oil Transportation in the Gulf of Finland in 2020 and 2030

This study is part of the Minimizing risks of maritime oil transport by holistic safety strategies (MIMIC) project. The purpose of this study is to provide a current state analysis of oil transportation volumes in the Baltic Sea and to create scenarios for oil transportation in the Gulf of Finland for the years 2020 and 2030. Future scenarios and information about oil transportation will be utilized in the modelling of oil transportation risks, which will be carried out as part of the MIMIC project. Approximately 290 million tons of oil and oil products were transported in the Baltic Sea in 2009, of which 55% (160 million tons) via the Gulf of Finland. Oil transportation volumes in the Gulf of Finland have increased from 40 million to almost 160 million tonnes over the last ten years. In Russia and Estonia, oil transportation mainly consists of export transports of the Russian oil industry. In Finnish ports in the Gulf of Finland, the majority of oil traffic is concentrated to the port of Sköldvik, while the remainder mainly consists of different oil products for domestic use. Transit transports to/from Russia make up small volumes of oil transportation. The largest oil ports in the Gulf of Finland are Primorsk, Tallinn, St. Petersburg and Sköldvik. The basis for the scenarios for the years 2020 and 2030 is formed by national energy strategies, the EU`s climate and energy strategies as well other energy and transportation forecasts for the years 2020 and 2030. Three alternative scenarios were produced for both 2020 and 2030. The oil volumes are based on the expert estimates of nine specialists. The specialists gave three volumes for each scenario: the expected oil transport volumes, and the minimum and maximum volumes. Variations in the volumes between the scenarios are not large, but each scenario tends to have rather a large difference between the figures for minimum and maximum volumes. This variation between the minimum and maximum volumes ranges around 30 to 40 million tonnes depending on the scenario. On the basis of this study, no a dramatic increase in oil transportation volumes in the Gulf of Finland is to be expected. Most of the scenarios only forecasted a moderate growth in maritime oil transportation compared to the current levels. The effects of the European energy policy favouring renewable energy sources can be seen in the 2030 scenarios, in which the transported oil volumes are smaller than in the 2020 scenarios. In the Slow development 2020 scenario, oil transport volumes for 2020 are expected to be 170.6 Mt (million tonnes), in the Average development 2020 187.1 Mt and in the Strong development 2020 201.5 Mt. The corresponding oil volumes for the 2030 scenarios were 165 Mt for the Stagnating development 2030 scenario, 177.5 Mt for the Towards a greener society 2030 scenario and 169.5 Mt in the Decarbonising society 2030 scenario.

Benefits and challenges of supply chain finance business process automation : A case study in ING Bank

Supply chain finance, a financial product provided by the bank, has gained increasing attention and popularity over the last few years. Supply chain finance helps the corporate clients to optimize their financial flows along the supply chain. One characteristic of supply chain finance is that it aims to provide automated solutions. Therefore, the business process automation of supply chain finance is a very interesting and important topic for study. In this study, the business process automation of supply chain finance within the case organization, ING, is analysed. The purpose is to: (1) Identify the benefits to understand the importance to automate supply chain finance business process; (2) Find out the existing automation degree in the supply chain finance business process within the case bank to see what’s the situation now and how to improve in the future; (3) Discover the challenges in the further automation of supply chain finance business process. Firstly, the study finds out that supply chain finance business process automation can bring many benefits to the bank. Automation can improve productivity by using less time and human labour in the business process, and by providing scalable solutions. Automation can also improve quality of the service by reducing the human errors. Last but not least, automation can improve internal governance by providing enhanced visibility of the business process. Because of these potential benefits, many banks are actively seeking solutions to automate their supply chain finance business process. Then, the current automation situation with the case bank is analysed with the help of business process modelling. The supply chain finance business process within the case bank can be further divided into several sub processes: daily transaction, buyer sales and setup, supplier onboarding, contract management, customer services and supports, and contract termination. The study finds out that the daily transaction process is already a highly automated, which is carried out through the web-based trading platform. However, for other business the automation degree is relatively low. Among these business processes, supplier onboarding is most needed for further automation. Then, some solutions are also suggested to automate the supplier onboarding business process. In the end, the study also foresees some challenges during the further automation of supply chain finance business process in the case bank. Some suggestions are also given to deal with these challenges.

IT Investment Portfolio Management Over Joint Ventures: Case Study in a Multinational Oil & Gas Company

With information technology (IT) playing an increasing important role in driving the business, the value of IT investment is often challenged because not all of those investment decisions are made in a reasonable way or aligned with business strategies. IT investment portfolio management (PfM) is an effective way to prioritize and select the right IT projects to invest in, by taking all the project proposals into consideration as a whole, based on their business value, risks, costs, and interrelationships. There are different decision models to prioritise projects, and the Analytic Hierarchy Process (AHP) is one of the most commonly-used methods and is discussed in this master thesis. At the same time, there are IT projects on different levels for a multinational company, from global to local. For instance, many of them are probably proposed by joint ventures on local level. In the oil & gas industry, joint ventures are often formed especially in the area of the upstream (exploration & production). How to involve those projects into the IT investment PfM approach of the parent company is a challenge, because the parent company cannot make the decisions on its own. It needs to prioritize all projects in an adequate way, communicate with JVs and influence them. Also, different control levels on JVs need to be considered. This paper hence attempts to introduce a tailored approach of IT investment PfM for a multinational oil & gas company to address the issues around JVs.

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