15 resultados para Replacement cost approach

em Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland


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Diplomityön tavoitteena oli selvittää jakeluverkkoyhtiön verkon jälleenhankinta-arvon määrittämiseen tarvittavat lähtötiedot sähkönjakeluverkon rakentamiskustannuksia selvittäneellä kyselyllä. Työssä on käsitelty sähkönjakeluverkon jälleenhankinta-arvon, nykyarvon ja nykykäyttöarvon määritysmenetelmiä. Lisäksi on esitelty laeissa, asetuksissa ja suosituksissa jakeluverkkotoiminnalle asetettuja vaatimuksia. Tulokset on esitelty komponenteittain ja tutkimalla kuinka paljon kahden kuvitteellisen sähkönjakeluverkon jälleenhankinta-arvo muuttuu. Palkkakustannusten nousu on lisännyt kustannuksia, mutta vastaavasti verkonrakentamisen tehostuminen sekä tässä laskentamallissa esitetyt kustannuksien määrittelyt (esimerkkinä muuntajat) ovat alentaneet yleiskustannuksia, joten kokonaisuutena verkon rakentamisen kustannukset ovat joidenkin komponenttien osalta alentuneet tässä työssä käytettyihin KA 2:95, KA 2:96 ja KA 2:97 kustannustietoihin verrattuna.

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Suuri osa ihmisten tiedon etsinnästä painottuu internetiin ja siellä käytettäviin hakukoneisiin. Myös yritykset ovat tiedostaneet sähköisen markkinoinnin roolin omassa kansainvälisessä näkyvyydessään. Pienyritysten kansainvälistymisessä sähköisellä markkinoinnilla voidaan parantaa markkinatiedon etsintää, asiakkaiden tavoitettavuutta ja markkinointiviestinnän kohdennettavuutta eri käyttäjäryhmille. Sähköinen markkinointi ei kuitenkaan poista kulttuurisidonnaisia epävarmuuksia, ja sen laadukas toteuttaminen vaatii perehtymistä. Tutkimuksen tavoitteena on selvittää Case-yritykselle sähköisen markkinoinnin potentiaaliset hyödyntämisvaihtoehdot kansainvälistymisprosessissa Venäjälle ja suunnitella resursseihin nähden toteutettava sähköisen markkinoinnin markkinointisuunnitelma. Monimenetelmätekniikalla toteutetussa tutkimuksessa tietolähteenä käytetään asiantuntijahaastatteluja sekä datarekistereitä. Teoriapohjana tarkastellaan pk-yrityksien tiedon vaiheittaista oppimista, verkoston roolia sekä ulkoistamispäätöksen tukena käytettyjä transaktiokustannuksia. Sähköisen markkinoinnin kehitys on ollut Venäjällä kovaa viimeisen kahden vuoden aikana. Tästä syystä venäläisten yritysten sähköisen markkinoinnin taso on osittain korkeampaa kuin suomalaisten. Sähköisellä markkinoinnilla tavoittaa erityisesti kaupungeissa asuvat ihmiset, mutta kaupunkien ulkopuolella verkkotekniikka on vielä osittain alkeellisella tasolla. Vientimuotojen vertailussa transaktiokustannusten avulla nousi esille suoran viennin malli, jossa jälleenmyyjän etsimisen avuksi kehitetään sähköisen markkinoinnin osaamista. Paikallisella jälleenmyyjällä nähdään olevan etuja sähköisen markkinoinnin, paikallistuntemuksen ja kulttuurillisten erityispiirteiden tuntemuksessa.

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Vuoden 2013 sähkömarkkinalain uudistuksen myötä verkonhaltijoiden tulee varautua suurhäiriötilanteisiin aiempaa tehokkaammin. Lain toimitusvarmuusvaatimusten täyttäminen vaatii sähköverkkoyhtiöiltä entistä suurempia investointimääriä nopeassa aikataulussa. Caruna Oy investoi vuosittain noin 100 miljoonaa euroa säävarman verkon kehittämiseen ja rakentamiseen. Eltel Networks Oy toimii Carunan pääurakoitsijana useissa saneerausprojekteissa muun muassa Satakunnan ja Lounais-Suomen alueilla. Diplomityö tehtiin Eltel Networks Oy:lle ja tavoitteena oli laatia saneeraussuunnitelma Carunan Vahdon keskustan sähkönjakeluverkkoon sekä kehittää Eltelin suunnitteluprosessia Vahdon case-projektin avulla. Nykyverkon ongelmakohdiksi osoittautuivat käyttöikänsä päähän tulleet tai lähivuosina tulevat verkkokomponentit, verkon alhainen nykykäyttöarvo sekä korkeat keskeytyskustannukset. Suunnitellun verkon nykykäyttöarvo yli kaksinkertaistui nykyverkon arvosta, verkon keski-ikä pieneni seitsemällä vuodella ja keskeytyskustannukset pienenivät yli puolella. Case-projektin aikana suunnitteluprosessissa ilmeni useita kehityskohteita. Esimerkiksi kartta-aineistoja ja ilmakuvia kannattaisi hyödyntää monipuolisemmin suunnittelussa ja ohjemuutosten täytäntöönpanoajankohta tulisi määrittää ohjeen tärkeyden mukaan. Vierekkäisille suunnitteluprojekteille kannattaa hakea jatkossa esimerkiksi yhteiset ELY- ja AVI-luvat erillisten lupahakemusten sijaan, koska se vähentää suunnittelijoiden työmäärää ja nopeuttaa hakuprosessia. Suunnittelijoiden yhteistyötä kannattaa laajentaa niin lupahakemusten, sopimusten laadinnan kuin koko prosessin kattavaksi, koska yhteistyö vähentää virheiden määrää ja nopeuttaa suunnitteluprosessia. Yhteistyöllä suunnittelu voidaan toteuttaa nopeammin laadusta tinkimättä.

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The aim of this study is to present an Activity-Based Costing spreadsheet tool for analyzing the logistics costs. The tool can be used both by customer-companies and logistics service providers. The study discusses the influence of different activity models on costs. Additionally this paper discusses about the logistical performance across the total supply chain This study is carried out using ananalytical research approach and literature material has been used for supplementing the concerned research approach. Cost structure analysis was based on the theory of activity-based management. This study was outlined to spare part logistics in machine-shop industry. The outlines of logistics services and logisticalperformance discussed in this report are based on the new logistics business concept (LMS-concept), which has been presented earlier in the Valssi-project. Oneof the aims of this study is to increase awareness of different activity modelson logistics costs. The report paints an overall picture about the business environment and requirements for the new logistics concept.

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Finland has large forest fuel resources. However, the use of forest fuels for energy production has been low, except for small-scale use in heating. According to national action plans and programs related to wood energy promotion, the utilization of such resources will be multiplied over the next few years. The most significant part of this growth will be based on the utilization of forest fuels, produced from logging residues of regeneration fellings, in industrial and municipal power and heating plants. Availability of logging residues was analyzed by means of resource and demand approaches in order to identify the most suitable regions with focus on increasing the forest fuel usage. The analysis included availability and supply cost comparisons between power plant sites and resource allocation in a least cost manner, and between a predefined power plant structure under demand and supply constraints. Spatial analysis of worksite factors and regional geographies were carried out using the GIS-model environment via geoprocessing and cartographic modeling tools. According to the results of analyses, the cost competitiveness of forest fuel supply should be improved in order to achieve the designed objectives in the near future. Availability and supply costs of forest fuels varied spatially and were very sensitive to worksite factors and transport distances. According to the site-specific analysis the supply potential between differentlocations can be multifold. However, due to technical and economical reasons ofthe fuel supply and dense power plant infrastructure, the supply potential is limited at plant level. Therefore, the potential and supply cost calculations aredepending on site-specific matters, where regional characteristics of resourcesand infrastructure should be taken into consideration, for example by using a GIS-modeling approach constructed in this study.

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Työn tavoitteena oli kehittää tutkittavan insinööriyksikön projektien kustannusestimointiprosessia, siten että yksikön johdolla olisi tulevaisuudessa käytettävänään tarkempaa kustannustietoa. Jotta tämä olisi mahdollista, ensin täytyi selvittää yksikön toimintatavat, projektien kustannusrakenteet sekä kustannusatribuutit. Tämän teki mahdolliseksi projektien kustannushistoriatiedon tutkiminen sekä asiantuntijoiden haastattelu. Työn tuloksena syntyi kohdeyksikön muiden prosessien kanssa yhteensopiva kustannusestimointiprosessi sekä –malli.Kustannusestimointimenetelmän ja –mallin perustana on kustannusatribuutit, jotka määritellään erikseen tutkittavassa ympäristössä. Kustannusatribuutit löydetään historiatietoa tutkimalla, eli analysoimalla jo päättyneitä projekteja, projektien kustannusrakenteita sekä tekijöitä, jotka ovat vaikuttaneet kustannusten syntyyn. Tämän jälkeen kustannusatribuuteille täytyy määritellä painoarvot sekä painoarvojen vaihteluvälit. Estimointimallin tarkuutta voidaan parantaa mallin kalibroinnilla. Olen käyttänyt Goal – Question – Metric (GQM) –menetelmää tutkimuksen kehyksenä.

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Logistics management is increasingly being recognised by many companies to be of critical concern. The logistics function includes directly or indirectly many of the new areas for achieving or maintaining competitive advantage that companies have been forced to develop due to increasing competitive pressures. The key to achieving a competitive advantage is to manage the logistics function strategically which involves determining the most cost effective method of providing the necessary customer service levels from the many combinations of operating procedures in the areas of transportation, warehousing, order processing and information systems, production, and inventory management. In this thesis, a comprehensive distribution logistics strategic management process is formed by integrating the periodic strategic planning process with a continuous strategic issues management process. Strategic planning is used for defining the basic objectives for a company and assuring co operation and synergy between the different functions of a company while strategic issues management is used on a continuous basis in order to deal with environmental and internal turbulence. The strategic planning subprocess consists of the following main phases: (1) situational analyses, (2) defining the vision and strategic goals for the logistics function, (3) determining objectives and strategies, (4) drawing up tactical action plans, and (5) evaluating the implementation of the plans and making the needed adjustments. The aim of the strategic issues management subprocess is to continuously scan the environment and the organisation for early identification of the issues having a significant impact on the logistics function using the following steps: (1) the identification of trends, (2) assessing the impact and urgency of the identified trends, (3) assigning priorities to the issues, and (4) planning responses to the, issues. The Analytic Hierarchy Process (AHP) is a systematic procedure for structuring any problem. AHP is based on the following three principles: decomposition, comparative judgements, and synthesis of priorities. AHP starts by decomposing a complex, multicriteria problem into a hierarchy where each level consists of a few manageable elements which are then decomposed into another set of elements. The second step is to use a measurement methodology to establish priorities among the elements within each level of the hierarchy. The third step in using AHP is to synthesise the priorities of the elements to establish the overall priorities for the decision alternatives. In this thesis, decision support systems are developed for different areas of distribution logistics strategic management by applying the Analytic Hierarchy Process. The areas covered are: (1) logistics strategic issues management, (2) planning of logistic structure, (3) warehouse site selection, (4) inventory forecasting, (5) defining logistic action and development plans, (6) choosing a distribution logistics strategy, (7) analysing and selecting transport service providers, (8) defining the logistic vision and strategic goals, (9) benchmarking logistic performance, and (10) logistic service management. The thesis demonstrates the potential of AHP as a systematic and analytic approach to distribution logistics strategic management.

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Target of this study was to examine the current supply chain with focus on external part and identify the cost potential areas which lie there. The goal was to evaluate the cost save potential and give estimate what would be required in order to realise it. Base data related to study was searched and examined with using company’s enterprise resource planning system. In case feasible two types of scenarios were built in order to describe the scale of save potential. First scenario was theoretical and achieving it would require further investments and second scenario was realistic approach where more limitations were taken into account. The results clearly show that there is high save potential in supply chain costs linked to balance between internal and external operations. Realising of it would require at least minor investments as current internal capacity is not on a level to fully absorb the additional volumes which are needed in order to realise the potential. This study can be used as a basis when starting new projects related to investment needs.

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Human trafficking is not a new phenomenon. It has existed in various forms for ages around the world. Some researchers have even compared it to slavery, calling it the modern form of slavery in the 21st century. This study is particularly interested in the role of work-related human trafficking in Finnish business. In order for something to be called work-related human trafficking, the concepts of forced labour and human trafficking have to overlap. From the economic point of view, human trafficking is governed by the laws of supply and demand. In many countries the global pressure on cutting costs has created two trends: the increased supply of migrant workers and the deregulation of labour markets. These competitive pressures can have an adverse impact on the conditions of employment and, in the worst cases, can lead to forced labour and trafficking. In fact, trafficking has become one of the most profitable illicit industries worldwide, generating tremendous profits due to its low costs and huge profits. Therefore, it is important to investigate the phenomenon from the business point of view. This study is a qualitative research conducted by using theme interviews as a research approach. Altogether 13 interviews have been conducted and some secondary data has been used in order to find out what the role of human trafficking is in Finnish business. The special sectors investigated are the Finnish construction and service sectors. The theory framework used in this study follows the stakeholder approach. The relevant stakeholder groups for this study are: ‘institutions and authorities’, ‘law enforcement’, ‘management’ and ‘employees – potential victims’ of trafficking. With the help of these stakeholder groups, a holistic picture of the phenomenon is formed. It can be concluded that the role of human trafficking is complicated but it does exist in Finnish business. It appears in low-cost business sectors where the demand for cheap labour is high. Thus, often the victims are foreigners who do not know the culture or the Finnish conditions of employment. Especially smaller Finnish companies are at risk of getting involved in human trafficking or related exploitation cases since monitoring is much more scarce in these firms than in larger companies. The risk of human trafficking and exploitation is also higher at the bottom of the complicated subcontracting chains or when using foreign recruitment agencies. Thus, the study believes that active and intensive collaboration between the company’s different stakeholder groups is needed in order to prevent work-related human trafficking from flourishing in Finland.

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This doctoral thesis describes the development work performed on the leachand purification sections in the electrolytic zinc plant in Kokkola to increase the efficiency in these two stages, and thus the competitiveness of the plant. Since metallic zinc is a typical bulk product, the improvement of the competitiveness of a plant was mostly an issue of decreasing unit costs. The problems in the leaching were low recovery of valuable metals from raw materials, and that the available technology offered complicated and expensive processes to overcome this problem. In the purification, the main problem was consumption of zinc powder - up to four to six times the stoichiometric demand. This reduced the capacity of the plant as this zinc is re-circulated through the electrolysis, which is the absolute bottleneck in a zinc plant. Low selectivity gave low-grade and low-value precipitates for further processing to metallic copper, cadmium, cobalt and nickel. Knowledge of the underlying chemistry was poor and process interruptions causing losses of zinc production were frequent. Studies on leaching comprised the kinetics of ferrite leaching and jarosite precipitation, as well as the stability of jarosite in acidic plant solutions. A breakthrough came with the finding that jarosite could precipitate under conditions where ferrite would leach satisfactorily. Based on this discovery, a one-step process for the treatment of ferrite was developed. In the plant, the new process almost doubled the recovery of zinc from ferrite in the same equipment as the two-step jarosite process was operated in at that time. In a later expansion of the plant, investment savings were substantial compared to other technologies available. In the solution purification, the key finding was that Co, Ni, and Cu formed specific arsenides in the “hot arsenic zinc dust” step. This was utilized for the development of a three-step purification stage based on fluidized bed technology in all three steps, i.e. removal of Cu, Co and Cd. Both precipitation rates and selectivity increased, which strongly decreased the zinc powder consumption through a substantially suppressed hydrogen gas evolution. Better selectivity improved the value of the precipitates: cadmium, which caused environmental problems in the copper smelter, was reduced from 1-3% reported normally down to 0.05 %, and a cobalt cake with 15 % Co was easily produced in laboratory experiments in the cobalt removal. The zinc powder consumption in the plant for a solution containing Cu, Co, Ni and Cd (1000, 25, 30 and 350 mg/l, respectively), was around 1.8 g/l; i.e. only 1.4 times the stoichiometric demand – or, about 60% saving in powder consumption. Two processes for direct leaching of the concentrate under atmospheric conditions were developed, one of which was implemented in the Kokkola zinc plant. Compared to the existing pressure leach technology, savings were obtained mostly in investment. The scientific basis for the most important processes and process improvements is given in the doctoral thesis. This includes mathematical modeling and thermodynamic evaluation of experimental results and hypotheses developed. Five of the processes developed in this research and development program were implemented in the plant and are still operated. Even though these processes were developed with the focus on the plant in Kokkola, they can also be implemented at low cost in most of the zinc plants globally, and have thus a great significance in the development of the electrolytic zinc process in general.

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One of the main challenges in Software Engineering is to cope with the transition from an industry based on software as a product to software as a service. The field of Software Engineering should provide the necessary methods and tools to develop and deploy new cost-efficient and scalable digital services. In this thesis, we focus on deployment platforms to ensure cost-efficient scalability of multi-tier web applications and on-demand video transcoding service for different types of load conditions. Infrastructure as a Service (IaaS) clouds provide Virtual Machines (VMs) under the pay-per-use business model. Dynamically provisioning VMs on demand allows service providers to cope with fluctuations on the number of service users. However, VM provisioning must be done carefully, because over-provisioning results in an increased operational cost, while underprovisioning leads to a subpar service. Therefore, our main focus in this thesis is on cost-efficient VM provisioning for multi-tier web applications and on-demand video transcoding. Moreover, to prevent provisioned VMs from becoming overloaded, we augment VM provisioning with an admission control mechanism. Similarly, to ensure efficient use of provisioned VMs, web applications on the under-utilized VMs are consolidated periodically. Thus, the main problem that we address is cost-efficient VM provisioning augmented with server consolidation and admission control on the provisioned VMs. We seek solutions for two types of applications: multi-tier web applications that follow the request-response paradigm and on-demand video transcoding that is based on video streams with soft realtime constraints. Our first contribution is a cost-efficient VM provisioning approach for multi-tier web applications. The proposed approach comprises two subapproaches: a reactive VM provisioning approach called ARVUE and a hybrid reactive-proactive VM provisioning approach called Cost-efficient Resource Allocation for Multiple web applications with Proactive scaling. Our second contribution is a prediction-based VM provisioning approach for on-demand video transcoding in the cloud. Moreover, to prevent virtualized servers from becoming overloaded, the proposed VM provisioning approaches are augmented with admission control approaches. Therefore, our third contribution is a session-based admission control approach for multi-tier web applications called adaptive Admission Control for Virtualized Application Servers. Similarly, the fourth contribution in this thesis is a stream-based admission control and scheduling approach for on-demand video transcoding called Stream-Based Admission Control and Scheduling. Our fifth contribution is a computation and storage trade-o strategy for cost-efficient video transcoding in cloud computing. Finally, the sixth and the last contribution is a web application consolidation approach, which uses Ant Colony System to minimize the under-utilization of the virtualized application servers.

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Electrical machine drives are the most electrical energy-consuming systems worldwide. The largest proportion of drives is found in industrial applications. There are, however many other applications that are also based on the use of electrical machines, because they have a relatively high efficiency, a low noise level, and do not produce local pollution. Electrical machines can be classified into several categories. One of the most commonly used electrical machine types (especially in the industry) is induction motors, also known as asynchronous machines. They have a mature production process and a robust rotor construction. However, in the world pursuing higher energy efficiency with reasonable investments not every application receives the advantage of using this type of motor drives. The main drawback of induction motors is the fact that they need slipcaused and thus loss-generating current in the rotor, and additional stator current for magnetic field production along with the torque-producing current. This can reduce the electric motor drive efficiency, especially in low-speed, low-power applications. Often, when high torque density is required together with low losses, it is desirable to apply permanent magnet technology, because in this case there is no need to use current to produce the basic excitation of the machine. This promotes the effectiveness of copper use in the stator, and further, there is no rotor current in these machines. Again, if permanent magnets with a high remanent flux density are used, the air gap flux density can be higher than in conventional induction motors. These advantages have raised the popularity of PMSMs in some challenging applications, such as hybrid electric vehicles (HEV), wind turbines, and home appliances. Usually, a correctly designed PMSM has a higher efficiency and consequently lower losses than its induction machine counterparts. Therefore, the use of these electrical machines reduces the energy consumption of the whole system to some extent, which can provide good motivation to apply permanent magnet technology to electrical machines. However, the cost of high performance rare earth permanent magnets in these machines may not be affordable in many industrial applications, because the tight competition between the manufacturers dictates the rules of low-cost and highly robust solutions, where asynchronous machines seem to be more feasible at the moment. Two main electromagnetic components of an electrical machine are the stator and the rotor. In the case of a conventional radial flux PMSM, the stator contains magnetic circuit lamination and stator winding, and the rotor consists of rotor steel (laminated or solid) and permanent magnets. The lamination itself does not significantly influence the total cost of the machine, even though it can considerably increase the construction complexity, as it requires a special assembly arrangement. However, thin metal sheet processing methods are very effective and economically feasible. Therefore, the cost of the machine is mainly affected by the stator winding and the permanent magnets. The work proposed in this doctoral dissertation comprises a description and analysis of two approaches of PMSM cost reduction: one on the rotor side and the other on the stator side. The first approach on the rotor side includes the use of low-cost and abundant ferrite magnets together with a tooth-coil winding topology and an outer rotor construction. The second approach on the stator side exploits the use of a modular stator structure instead of a monolithic one. PMSMs with the proposed structures were thoroughly analysed by finite element method based tools (FEM). It was found out that by implementing the described principles, some favourable characteristics of the machine (mainly concerning the machine size) will inevitable be compromised. However, the main target of the proposed approaches is not to compete with conventional rare earth PMSMs, but to reduce the price at which they can be implemented in industrial applications, keeping their dimensions at the same level or lower than those of a typical electrical machine used in the industry at the moment. The measurement results of the prototypes show that the main performance characteristics of these machines are at an acceptable level. It is shown that with certain specific actions it is possible to achieve a desirable efficiency level of the machine with the proposed cost reduction methods.

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Target of this study was to develop a total cost calculation model to compare all costs from manufacturing and logistics from own factories or from partner factories to global distribution centers in a case company. Especially the total cost calculation model was needed to simulate an own factory utilization effect in the total cost calculation context. This study consist of the theoretical literature review and the empirical case study. This study was completed using the constructive research approach. The result of this study was a new total cost calculation model. The new total cost calculation model includes not only all the costs caused by manufacturing and logistics, but also the relevant capital costs. Using the new total cost calculation model, case company is able to complete the total cost calculations taking into account the own factory utilization effect in different volume situations and volume shares between an own factory and a partner factory.

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Wind power is a rapidly developing, low-emission form of energy production. In Fin-land, the official objective is to increase wind power capacity from the current 1 005 MW up to 3 500–4 000 MW by 2025. By the end of April 2015, the total capacity of all wind power project being planned in Finland had surpassed 11 000 MW. As the amount of projects in Finland is record high, an increasing amount of infrastructure is also being planned and constructed. Traditionally, these planning operations are conducted using manual and labor-intensive work methods that are prone to subjectivity. This study introduces a GIS-based methodology for determining optimal paths to sup-port the planning of onshore wind park infrastructure alignment in Nordanå-Lövböle wind park located on the island of Kemiönsaari in Southwest Finland. The presented methodology utilizes a least-cost path (LCP) algorithm for searching of optimal paths within a high resolution real-world terrain dataset derived from airborne lidar scannings. In addition, planning data is used to provide a realistic planning framework for the anal-ysis. In order to produce realistic results, the physiographic and planning datasets are standardized and weighted according to qualitative suitability assessments by utilizing methods and practices offered by multi-criteria evaluation (MCE). The results are pre-sented as scenarios to correspond various different planning objectives. Finally, the methodology is documented by using tools of Business Process Management (BPM). The results show that the presented methodology can be effectively used to search and identify extensive, 20 to 35 kilometers long networks of paths that correspond to certain optimization objectives in the study area. The utilization of high-resolution terrain data produces a more objective and more detailed path alignment plan. This study demon-strates that the presented methodology can be practically applied to support a wind power infrastructure alignment planning process. The six-phase structure of the method-ology allows straightforward incorporation of different optimization objectives. The methodology responds well to combining quantitative and qualitative data. Additional-ly, the careful documentation presents an example of how the methodology can be eval-uated and developed as a business process. This thesis also shows that more emphasis on the research of algorithm-based, more objective methods for the planning of infrastruc-ture alignment is desirable, as technological development has only recently started to realize the potential of these computational methods.

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Recent developments in automation, robotics and artificial intelligence have given a push to a wider usage of these technologies in recent years, and nowadays, driverless transport systems are already state-of-the-art on certain legs of transportation. This has given a push for the maritime industry to join the advancement. The case organisation, AAWA initiative, is a joint industry-academia research consortium with the objective of developing readiness for the first commercial autonomous solutions, exploiting state-of-the-art autonomous and remote technology. The initiative develops both autonomous and remote operation technology for navigation, machinery, and all on-board operating systems. The aim of this study is to develop a model with which to estimate and forecast the operational costs, and thus enable comparisons between manned and autonomous cargo vessels. The building process of the model is also described and discussed. Furthermore, the model’s aim is to track and identify the critical success factors of the chosen ship design, and to enable monitoring and tracking of the incurred operational costs as the life cycle of the vessel progresses. The study adopts the constructive research approach, as the aim is to develop a construct to meet the needs of a case organisation. Data has been collected through discussions and meeting with consortium members and researchers, as well as through written and internal communications material. The model itself is built using activity-based life cycle costing, which enables both realistic cost estimation and forecasting, as well as the identification of critical success factors due to the process-orientation adopted from activity-based costing and the statistical nature of Monte Carlo simulation techniques. As the model was able to meet the multiple aims set for it, and the case organisation was satisfied with it, it could be argued that activity-based life cycle costing is the method with which to conduct cost estimation and forecasting in the case of autonomous cargo vessels. The model was able to perform the cost analysis and forecasting, as well as to trace the critical success factors. Later on, it also enabled, albeit hypothetically, monitoring and tracking of the incurred costs. By collecting costs this way, it was argued that the activity-based LCC model is able facilitate learning from and continuous improvement of the autonomous vessel. As with the building process of the model, an individual approach was chosen, while still using the implementation and model building steps presented in existing literature. This was due to two factors: the nature of the model and – perhaps even more importantly – the nature of the case organisation. Furthermore, the loosely organised network structure means that knowing the case organisation and its aims is of great importance when conducting a constructive research.