Relevant bibliographies by topics / Total Cost of Ownership (TCO)

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Academic literature on the topic 'Total Cost of Ownership (TCO)'

Author: Grafiati
Published: 4 June 2021
Last updated: 17 February 2022

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Journal articles on the topic "Total Cost of Ownership (TCO)"

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Zeibig, Stefan. "Total Cost of Ownership (TCO)." Controlling 17, no. 11 (2005): 691–92. http://dx.doi.org/10.15358/0935-0381-2005-11-691.

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Morssinkhof, S., L. Warlop, and M. Wouters. "Total Cost of Ownership en samenwerking tussen organisaties." Maandblad Voor Accountancy en Bedrijfseconomie 79, no. 9 (September 1, 2005): 420–28. http://dx.doi.org/10.5117/mab.79.21833.

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Total Cost of Ownership (TCO) is een benadering die vraagt om een relatie tussen ondernemingen die elkaar met open vizier benaderen. De bruikbaarheid van TCOinformatie is grotendeels afhankelijk van de bereidheid van ondernemingen om informatie uit te wisselen. De auteurs bespreken het concept TCO op basis van de literatuur en gaan in op vier aspecten van de toepassing van TCO: In hoeverre worden ‘technische’ attributen van inkoopalternatieven vertaald naar economische gevolgen? Worden alleen kosten, of ook ontvangsten die samenhangen met inkoopalternatieven in beschouwing genomen? Heeft de analyse betrekking op economische gevolgen voor één partij of voor een keten van samenwerkende bedrijven? Dient een TCO-berekening voor analyse, of wordt ze ook onderdeel van de contractuele afspraken tussen bedrijven? Vervolgens worden implicaties voor onderzoek besproken.
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Wouters, M. "Welke factoren dragen bij aan de invoering van total cost of ownership?" Maandblad Voor Accountancy en Bedrijfseconomie 83, no. 9 (September 1, 2009): 309–18. http://dx.doi.org/10.5117/mab.83.21882.

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Samenwerking tussen bedrijven die een klant-leverancierrelatie hebben, kan worden ondersteund door betere kosteninformatie. Dit artikel gaat over total cost of ownership (TCO) informatie ten behoeve van inkoopbeslissingen. TCO-informatie heeft betrekking op inkoopgerelateerde kosten naast de aanschafprijs. Bijvoorbeeld: een machine kan duurder zijn bij aanschaf, maar lagere kosten voor energieverbruik en onderhoud veroorzaken. Het concept TCO wordt besproken en een structureel model met acht factoren die bijdragen aan de invoering van TCO wordt empirisch geschat. Daarna wordt kort stilgestaan bij inkoopbeslissingen tijdens productontwikkeling en bij het gebruik van TCO voor marketing.
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Han, Yan. "Cloud Computing: Case Studies and Total Cost of Ownership." Information Technology and Libraries 30, no. 4 (December 1, 2011): 198. http://dx.doi.org/10.6017/ital.v30i4.1871.

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This paper consists of four major sections: The first section is a literature review of cloud computing and a cost model. The next section focuses on detailed overviews of cloud computing and its levels of services: SaaS, PaaS, and IaaS. Major cloud computing providers are introduced, including Amazon Web Services (AWS),<br />Microsoft Azure, and Google App Engine. Finally, case studies of implementing web applications on IaaS and PaaS using AWS, Linode and Google AppEngine are demonstrated. Justifications of running on an IaaS provider (AWS) and running on a PaaS provider (Google AppEngine) are described. The last section discusses costs and technology analysis comparing cloud computing with local managed storage and servers. The total costs of ownership (TCO) of an AWS small instance are significantly<br />lower, but the TCO of a typical 10TB space in Amazon S3 are<br />significantly higher. Since Amazon offers lower storage pricing for huge amounts of data, the TCO might be lower. Readers should do their own analysis on the TCOs.
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Bliedy, Doaa, Sherif Mazen, and Ehab Ezzat. "Datacentre Total Cost of Ownership (TCO) Models : A Survey." International Journal of Computer Science, Engineering and Applications 8, no. 2/3/4 (August 30, 2018): 47–62. http://dx.doi.org/10.5121/ijcsea.2018.8404.

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Efremov, Alexander М., Zufar I. Sadriev, Vladimir V. Nikitin, Ivan V. Kalinin, and Vladimir S. Vlasov. "Total cost of ownership as a base of Transneft fleet operation." SCIENCE & TECHNOLOGIES OIL AND OIL PRODUCTS PIPELINE TRANSPORTATION 10, no. 1 (February 29, 2020): 84–95. http://dx.doi.org/10.28999/2541-9595-2020-10-1-84-95.

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Total cost of ownership (TCO) accounting is a brand new optimization process aimed at gaining overall investment and maintenance benefit which is being first applied in Transneft to vehicles and heavy equipment. Commonly fleet renewal and model choice decisions are built on outdated technical standards, personal experience or declared properties, however such way cannot provide an objective result in a modern condition of engineering. IT development in vehicles and heavy equipment monitoring allows accumulating primary data on the operation of each technical unit. Transneft has worked out the methodology of AV annual TCO calculating and analysis to describe the procedure and methods of applying the primary data to AV annual TCO calculating, optimal equipment lifetime determination and models comparison. The authors of this paper have developed the methodology based on the identification of primary data correspondence to different intervals of the same model lifetime using a Big data logic and further operating cash flow long-term forecasting for each model. Forecasting process is selected between averaging, linear extrapolation and probabilistic model based on reliability theory methods. AV annual TCO is calculated by applying equivalent annual annuity to the overall lifetime cash flow. Optimal equipment lifetime is calculated in correspondence to the minimum AV annual TCO. Models are compared by the AV annual TCO corresponded to optimal equipment lifetime. AV annual TCO calculating and analysis provides a whole new level of optimal equipment lifetime determination based on overall investment and maintenance benefit and models overall lifetime costs comparison. Thus we have a mathematical founded answer to the questions «How often to renew the fleet?» and «Which model to choose?».
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McConalogue, Eoghan, Paul Davis, and Regina Connolly. "Health Technology Assessment: The Role of Total Cost of Ownership." Business Systems Research Journal 10, no. 1 (April 1, 2019): 180–87. http://dx.doi.org/10.2478/bsrj-2019-0013.

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Abstract Background: Recently the European Union, through its Horizon 2020 fund has awarded numerous research projects tasked with the development of cloud-based health technology solutions. A number of these projects have a specific focus on ambient assisted living (AAL) technologies; solutions that offer a unique opportunity to improve the quality of life of persons with mild cognitive impairments. The diffusion of these solutions across a European wide cloud infrastructure presents a novel opportunity to reduce economic pressures currently experienced by European health systems. However, no route to market framework currently exists for a European wide healthcare delivery system. Objectives: The goal of the paper is to conduct the review and develop the literature around technology assessment for AAL technologies and route to market frameworks. Methods/Approach: We highlight the role of Total Cost of Ownership (TCO) when conducting a technology assessment by reviewing existent literature. Results: We discuss three TCO models that can support the assessment of AAL technologies. Conclusions: There is a gap in the analysis of TCO models in the context of AAL technologies particularly in public and private sector collaborations. TCO process should be developed into a key award criterion when conducting AAL technology assessment and procurements, thus aiding long term strategic decision making.
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Ajay Ahuja and Vinayshil Gautam. "Towards Cost Effective Data Centers." Journal of Technology Management for Growing Economies 3, no. 2 (October 29, 2012): 105–17. http://dx.doi.org/10.15415/jtmge.2012.32009.

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Data Centers are sub organizations within an IT organization and form an integral part of e-enabled services infrastructure. Their effectiveness is essential for effectiveness of overall IT organization leading to efficient and effective delivery of e-services. Data Center organizations aim for Organizational Effectiveness. Many factors and measures can contribute to Organizational Effectiveness of Data Centers. This paper presents some of the findings from a research study on “Select aspects of Organizational Effectiveness of Data Centers”. As an outcome of this study, amongst other measures, Total Cost of Ownership (TCO) was derived as a critical measure for effective Data Centers. Lower TCO leads to cost effective Data Centers, leading to overall effectiveness. In this paper, we briefly introduce various measures of Data Centers’ Organizational Effectiveness and present a detailed analysis of Total Cost of Ownership (TCO) as a key measure of Data Centers’ Organizational Effectiveness. We also present various factors contributing to reduced TCO and a comparison between the factors contributing to TCO for Government and Corporate Data Centers.
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Bacchetti, Andrea, Stefano Bonetti, Marco Perona, and Nicola Saccani. "Investment and Management Decisions in Aluminium Melting: A Total Cost of Ownership Model and Practical Applications." Sustainability 10, no. 9 (September 18, 2018): 3342. http://dx.doi.org/10.3390/su10093342.

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The well-established Total Cost of Ownership (TCO) concept has been applied to several durable goods industries, including machinery. However, none of the existing TCO models explicitly focus on such highly energy-intensive equipment as metal melting furnaces. In this paper, an application of the TCO concept to aluminium melting furnaces is explored. A TCO model is created and tested through seven case studies in the aluminium die casting industry. Results indicate that the capital expenditure (CAPEX) incurred by the sample companies accounts for only 3–5% of a furnace TCO. Moreover, the melting technology implemented in the furnace highly impacts its TCO, as both the furnace’s thermal efficiency and melting loss (i.e., the fraction of aluminium burnt during the melting process) significantly affect the costs incurred. Moreover, the sample furnaces’ cost effectiveness clearly relies on scale. This evaluation leads to identify technological and managerial levers to reduce a furnace TCO, e.g., by adopting energy-efficient furnaces and by installing centralized, large-sized furnaces to pursue scale economies.
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Stähr, T., and G. Prof Lanza. "Ausfallanalyse von Werkzeugmaschinen*/A reliability analysis of machine tools - Total Cost of Ownership 2.0 in relation to the application." wt Werkstattstechnik online 107, no. 07-08 (2017): 507–10. http://dx.doi.org/10.37544/1436-4980-2017-07-08-31.

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Realitätsnahe Lebensdauerprognosen sind für eine ganzheitliche, betriebswirtschaftliche Kostenbetrachtung sehr wichtig. Wirtschaft und Forschung bemühen sich seit Langem, die Total Cost of Ownership (TCO) von Werkzeugmaschinen zu berücksichtigen. Eine Umfrage unter Herstellern und Betreibern von Werkzeugmaschinen analysiert Verbreitung, erwartete Potentiale sowie Hemmnisse von TCO-Betrachtungen. Anhand der Anforderungen der Branche wurde ein Modell mit Fokus auf der belastungsabhängigen Beschreibung des Ausfallverhaltens von Maschinen und Anlagen entwickelt, das in bestehende Standards eingebettet werden kann. &nbsp; A realistic lifetime prediction is highly valued in a holistic economic cost consideration. For years, industry and research have endeavored to consider the Total Cost of Ownership (TCO) of a machine tool. A survey of manufacturers and operators of machine tools analyzes distribution, expected potential and obstacles of TCO. Based on the identified requirements, a model that can be integrated into existing standards has been developed. It focuses on failure behavior of machines and plants, taking stresses into account.
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Dissertations / Theses on the topic "Total Cost of Ownership (TCO)"

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Nunes, Marília Mendes da Silva. "A importância do total cost of ownership no gerenciamento da cadeia de suprimentos." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2013. http://hdl.handle.net/10183/70025.

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Tendo em vista a necessidade das empresas, de estabelecer relacionamentos estreitos entre fornecedores e compradores, através de vínculos de cooperação imprescindíveis para a competitividade das empresas nos dias de hoje, este estudo aborda a importância do Total Cost of Ownership (TCO) ou Custo Total da Propriedade no gerenciamento da cadeia de suprimentos. Este trabalho tem como objetivo demonstrar o papel do TCO como ferramenta de contabilidade gerencial que dá suporte à decisão, no que diz respeito a seleção de fornecedores, tendo em vista que a área de compras é fundamental para o gerenciamento da área de suprimentos de uma empresa. Trata-se de uma pesquisa bibliográfica de estudo exploratório, com uma aplicação prática na área de compras de uma empresa no ramo da educação. Observa-se que através da utilização da ferramenta de TCO é possível que as empresas consigam visualizar melhor seus custos, para uma correta tomada de decisão, no que diz respeito a uma compra de determinado fornecedor.
Given the need for companies, to establish close relationships between suppliers and buyers through cooperative ties essential for the competitiveness of companies nowadays, this study addresses the importance of Total Cost of Ownership (TCO) or Total Cost of property management in the supply chain. This paper aims to demonstrate the role of TCO as a tool of management accounting that supports decision regarding the selection of suppliers, in order that the shopping area is critical to managing the supply area of a company. This is an exploratory study of literature, with a practical application in the shopping area of a company in the business of education. It is observed that by using the tool TCO is possible that companies are able to better visualize their costs, for a correct decision, with regard to a purchase of a particular vendor.
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Pospíchalová, Iveta. "Výběr dodavatele z hlediska TCO s vazbou na logistické náklady." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2014. http://www.nusl.cz/ntk/nusl-224728.

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Diploma thesis is focused on a selection of a supplier with regard of total costs. In an introductory part of the thesis there is theoretical background about selection of the supplier, logistic costs and analysis of total costs. In practical part of the thesis, the problematic is applied on two concrete examples in Bosch concern.
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Geißdörfer, Klaus. "Total Cost of Ownership (TCO) und Life Cycle Costing (LCC) : Einsatz und Modelle: Ein Vergleich zwischen Deutschland und USA /." Münster, Westf : LIT, 2009. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=017077387&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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Geissdörfer, Klaus. "Total cost of ownership (TCO) und life cycle costing (LCC) Einsatz und Modelle: ein Vergleich zwischen Deutschland und USA." Berlin Münster Lit, 2008. http://d-nb.info/991447794/04.

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Landscheidt, Steffen. "Life Cycle Cost Analysis in the Swedish Automation Industry : A Case Study for developing a Total Cost of Ownership Model for Industrial Robots." Thesis, Linnéuniversitetet, Institutionen för maskinteknik (MT), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-44743.

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Automation plays an important role when dealing with changes caused by globalization. The introduction of industrial robots is widely seen as an effective strategy against rising competition and outsourcing to low-cost countries. With the launch of amongst other the “Industrie 4.0” initiative, automation has been put into focus more than ever before and it is seen as the future way of production. Although the investment decisions for industrial robots are quite complex, the final purchasing decision is often only based on the initial offering. Procurement decisions based only the initial price are often poor decisions since they do not consider the hidden costs such as maintenance costs or energy consumption. A far better alternative is to calculate the total cost of ownership (TCO) of industrial robots and use this as the fundament in the decision making process. The TCO incorporates all costs from acquisition to the disposal of the industrial robot cell.   The study develops, based on a TCO and total value of ownership (TVO) model for industrial robots, an operational template, which can be used in the sales process. By applying the case study research methodology, the model is developed based on a literature review as well as on expert knowledge from employees of Yaskawa Nordic AB (YNR). Qualitative and quantitate data is gathered at two customer companies and the most crucial factors are identified in order to create a simple, operational template. As most important factors, operators’ wages, spare parts and energy consumptions have been identified. However, while the development of a general model is accomplished in a satisfying way, the realization of the template is hindered due to too few available data. The study shows that many companies cannot control the costs, which are created by their automation equipment. This leads to the conclusion that with further implementation of tools for “Industrie 4.0” the model and template can be revised allowing far more precise TCO/TVO calculations.
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Rydgård, Göran, and Nils Palmberg. "Assessing the Total cost of ownership of ERP systems : Case study analysis on the factors behind customer costs in recent minor implementations." Thesis, Linköpings universitet, Ekonomiska informationssystem, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-57529.

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This master’s thesis presents a model for calculating the total cost of ownership (TCO) of relatively small ERP implementations, including two years of running the system. The main factors affecting the cost items in the model are also analyzed, based in part on four case projects that the consultancy company Acando has carried out recently and in part on literature. The case projects were investigated through interviews with key actors in the projects from Acando and the customer, and through invoicing and project documentation in Acando’s databases. It is important to note that it is the cost side of the projects that is in focus in this thesis. Realized value at the customer is thus not included in the TCO model or further analysis. The model is built based on previous models for assessing the TCO of ERP implementations, but adapted in several ways to the context of the four case projects in the study. The costs of the case projects are mapped individually into the TCO model, and the total costs for the customers of the projects are calculated and presented. This results in a TCO for each of the four projects of between 4 and 9 MSEK. The model makes a clear distinction between internal and external time and resources that are invested in a project. This underlines how an implementation project is a cooperative effort between vendor and customer. Important factors found that affect the TCO of implementation projects include all the seven categories of success factors that Nah and Delgado find in their extensive literature review on the subject. The most significant of these categories of factors are shown to be top management support and project management. This is largely because these influence the impact of many of the other factors. All factors are interrelated though, and it is at times difficult to identify which is the main factor in a certain course of events. Looking more into detail concerning the cost affecting factors the most important factors identified in the case studies were the following: Amount of resources allocated to the project by top management Priority of the project in the organization   Skill and experience of the customer project manager Control and follow-up procedures Communication between stakeholders regarding expectations and  project scope The amount and complexity of integrations, customizations, data migration and testing Type of contract regarding pricing and risk sharing Change management effort
Detta examensarbete presenterar en modell för totalkostnader (TCO eller Total Cost of Ownership) av relativt små ERP-implementationer, inklusive två års drift av systemet. De viktigaste faktorer som påverkar kostnadsposterna i modellen analyseras också, baserat delvis på fyra implementationsprojekt som konsultföretaget Acando nyligen har utfört och delvis på litteratur. Projekten undersöktes genom intervjuer med nyckelpersoner i projekten från både Acando och kund, och genom fakturering och projektdokumentation från Acandos databaser. Det är viktigt att vara medveten om att det är kostnadssidan av projekten som står i fokus i denna rapport. Realiserat värde hos kunden är alltså inte inkluderat i TCO-modellen eller vidare analys. Modellen är baserad delvis på tidigare modeller för att utvärdera TCO av ERP-implementationer, men anpassad för kontexten hos de fyra projekten i studien. Kostnaderna i de studerade projekten mappas in i TCO-modellen, och de totala kostnaderna för projektens kunder presenteras. Resultaten visar på en total kostnad för projekten för mellan 4 och 9 miljoner kronor. Modellen gör en tydlig distinktion mellan intern och extern tid och resurser som investeras i ett projekt. Detta understryker hur ett implementationsprojekt är ett samarbete mellan säljare och kund. Viktiga faktorer som befunnits påverka totalkostnaderna av implementationsprojekt inkluderar alla sju kategorier av framgångsfaktorer som Nah och Delgado hittar i sin omfattande litteraturstudie i ämnet. De viktigaste av dessa kategorier visas vara stöd från ledningen och projektledning. Detta beror till stor del på att dessa påverkar vikten av många andra faktorer. Alla faktorer är relaterade dock, och det ligger många svårigheter i att försöka utreda vilka som är de huvudsakliga faktorerna i ett visst skeende. Ser vi mer i detalj på vilka individuella kostnadspåverkande faktorer som identifierats i studierna är de som följer: Mängd resurser som ledningen allokerar till ett projekt Projektets prioritet i organisationen Kunskap och erfarenhet hos kundens projektledare Styrning och uppföljningsprocesser Kommunikation mellan intressenter angående förväntningar och projektets omfattning Mängden och komplexitet hos integrationer, anpassningar, datamigrering och testning Kontraktets utformning vad gäller prissättning och riskdelning Förändringsledning
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De, Paz Torres Silvana Merly, Vílchez Hans Peter Herrera, Yrigoyen Rolando Pachas, and Boullosa Claudio Alberto Saavedra. "Reducción del Total Cost Of Ownership (TCO) de la flota vehicular de una empresa de servicios de telecomunicaciones de última milla." Master's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2020. http://hdl.handle.net/10757/654960.

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El presente trabajo de investigación se llevó a cabo en la idea de formular propuestas de mejora para la reducción del TCO por atención de la gestión de flotas de una empresa que brinda servicio a las principales empresas de telecomunicaciones. Actualmente, el costo de esta gestión representa el 42% del total de costos de la compañía, por tanto, representa una oportunidad importante para iniciar un análisis de su TCO e identificar potenciales de ahorro. Esta empresa tiene como reto convertirse en el proveedor de servicios de red de referencia para las empresas de comunicaciones y energía de manera rentable, por este motivo una adecuada gestión de sus costos es el camino para ser competitivos. El problema identificado radica en el no cumplimiento de los presupuestos asignados a la gestión de flotas, siendo este presupuesto repartido entre todas sus sedes. El impacto negativo de esta situación radica en sobrecostos para la organización y posibles pérdidas de clientes debido a no poder ofertar precios competitivos en las licitaciones que participa. Para resolver la problemática, el trabajo de investigación se compone de cinco capítulos: El primero se centra en la definición del problema y la justificación de por qué es necesario el análisis de la presente. En el segundo capítulo, se presenta los conceptos relacionados al TCO y gestión de flotas, así como de herramientas lean que serán la base para formular las propuestas tanto para reducción de TCO e incremento de atenciones; adicionalmente el estado del arte con investigaciones académicas relacionadas al tema. En el tercer capítulo, se describe la situación actual de la gestión de flota relacionado al TCO y nivel de atenciones, se analiza y delimita la sede y componentes del costo para mejora, además de identificar las causas que originan los problemas. Con la identificación de las causas, en el cuarto capítulo, se procede a desarrollar la propuesta de mejora apoyada en herramientas Lean, para finalmente terminar con los cálculos de beneficios esperados y principalmente el impacto en el TCO y presupuesto actual de la gestión. Por último, en el capítulo quinto se muestran las conclusiones y recomendaciones finales para la implementación. El trabajo realizado espera como resultado final la reducción en el TCO por atención y el cumplimiento de los presupuestos asignados de la gestión de flotas, optimizando la gestión de costos de la compañía y contribuir de manera positiva incrementando las posibilidades de abrir nuevos negocios ofreciendo precios competitivos en las licitaciones.
This research work was carried out with the idea of ​​formulating improvement proposals for the reduction of the TCO for fleet management by attention of a company that provides service to the main telecommunications companies. Currently, the cost of this management represents 42% of the company's total costs, therefore, it represents an important opportunity to start an analysis of its TCO and identify potential savings. The challenge of this company is to become the reference network service provider for communications and energy companies in a profitable manner, for this reason an adequate management of their costs is the way to be competitive. The problem identified is about the non-compliance with the budgets assigned to fleet management, this budget being distributed among all its offices. The negative impact of this situation generates over costs for the organization and possible loss of customers due to not being able to offer competitive prices in the tenders it participates. To solve the problem, the thesis is divided in five chapters: The first focuses on the definition of the problem and the justification of why the analysis of this thesis is necessary. In the second chapter, the concepts related to TCO and fleet management are presented, as well as lean tools that will be the basis for formulating proposals for both reductions of TCO and increase of attentions; additionally, the state of the art with academic research related to the topic. In the third chapter, the current situation of fleet management related to the TCO and level of attentions are described, the office and the cost components for improvement are analyzed and defined, in addition to identifying the causes that originate the problems. With the identification of the causes, in the fourth chapter, we proceed to develop the improvement proposal supported by Lean tools, to finally finish with the calculations of expected benefits and mainly the impact on the TCO and current management budget. Finally, the fifth chapter shows the final conclusions and recommendations for implementation. The work performed expects as a final result the reduction in the TCO by attention and compliance with the assigned budgets of fleet management, optimizing the company's cost management and contributing positively by increasing the possibilities of opening new businesses by offering competitive prices in tenders.
Trabajo de investigación
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Pozzetti, André. "Une méthodologie d’aide à la décision pour l’optimisation de services aéronautiques basés sur la performance." Thesis, Valenciennes, 2015. http://www.theses.fr/2015VALE0013.

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Pour rester compétitives dans l'industrie aéronautique, les entreprises développent des stratégies diverses pour gagner un avantage concurrentiel comme l'augmentation du Coût Total de Possession (TCO) avec l'acquisition aéronautique complexe et des programmes de support. Les clients concentrent leurs besoins sur la disponibilité opérationnelle de tels systèmes et ne sont plus enclins à payer un prix supplémentaire pour un tel service, par conséquent le fournisseur est amené à minimiser le TCO tout en conservant un haut niveau de performance de flotte. Dans de tels accords, une partie du risque de performance opérationnelle est transférée vers le fournisseur sous forme de pénalité financière, engendrant ainsi un risque financier sur la rentabilité du contrat. Cette recherche aborde le problème du point de vue du fournisseur en considérant différentes options stratégiques pour la commercialisation de l'offre de services aéronautiques basés sur la performance, garantissant la disponibilité de la flotte. La méthodologie considère un système complexe, représentatif des systèmes aéronautiques actuels et les mécanismes de support rattachés, avec de multiples objectifs contradictoires à atteindre en tant que fournisseur. La méthodologie proposée couvre les catégories suivantes : disponibilité, fiabilité, maintenabilité et supportabilité. Elle considère le système complexe comme un tout incluant l'ensemble des interactions dans ce système et les relations entre la performance de disponibilité et le coût. D'autres facteurs de contribution additionnels sont aussi considérés dans ce mécanisme de support, comme les types d'incertitude de la performance du système, des données, des risques financiers et des coûts. Un modèle de pénalité pour l'utilisation avec les Services Basés sur la Performance (PBS) des offres dans l'industrie aéronautique est aussi fourni. Une méthodologie d'analyse de pénalité est proposée au travers de deux études de cas présentées dans cette thèse, offrant un avantage compétitif au fournisseur, de par la capacité de prévoir la distribution de probabilité de performance du système, et de quantifier le risque financier pour le modèle de pénalité en question. La méthodologie d'analyse démontre aussi que la capacité d'effectuer une analyse de risque sur des pénalités contractuelles est tout aussi importante pour le fournisseur que la capacité de prévoir la performance globale du système. Les conclusions montrent qu'il est tout à fait possible d'avoir une grande exposition de risque financier si un scénario de pénalité inadapté est choisi, même si la performance de disponibilité de la flotte prévue est au-dessus du taux ciblé ou contracté
To remain competitive within the aeronautic industry, companies are developing various strategies to gain a competitive edge as the Total Cost of Ownership (TCO) increases with complex aeronautical acquisition and support programs. Customers are focusing their needs on the operational availability of such systems and are no longer willing to pay a premium for such a service, consequently the supplier is challenged to minimize the TCO whilst retaining a high level of fleet performance. In such accords, some of the operational performance risk is transferred back to the supplier and are usually in the form of financial penalties, which consequently creates a financial risk on the profitability of the contract for the supplier. This research addresses the problem from the point of the supplier when considering different strategic options for the sale and offer of performance-based aeronautic services that guarantee fleet availability. The methodology considers the complex system, as is typical with current aeronautic systems, relating support mechanisms, and the multiple yet contradictory objectives to achieve as a supplier. The methodology proposed covers the categories of Availability, Reliability, Maintainability and Supportability; it considers the complex system as a whole including the interactions within this system and the relationships between availability performance and cost. Additional other contributing factors are also considered within this support mechanism, such as the types of uncertainty on system performance, data, financial risks and costs. The introduction of a penalty model for use with Performance-Based Service (PBS) offers within the aeronautic industry is also provided. A methodology for penalty analysis is proposed through the two case studies presented in this thesis, giving the supplier a competitive advantage through the ability to predict the probability distribution of system performance and to quantify the financial risk for the penalty model in question. The analysis 5 methodology also demonstrates that the ability to perform risk analysis on contractual penalties is just as important to the supplier as the ability to predict overall system performance, as the findings present that it is quite possible to have a large financial risk exposure if the wrong penalty scenario is chosen even if the predicted Fleet Availability performance is above the targeted or contracted rate
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Babin, Anthony. "Optimisation du coût de revient global (TCO) d’un véhicule utilitaire électrique 3,5t ; modélisation multi-physique, dimensionnement et recharge intelligente." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLS356.

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Le véhicule électrique est une des solutions de transport respectueuses de l’environnement, n’émettant pas de polluant lors de son utilisation. Gruau, constructeur carrossier pour véhicules utilitaires, se lance activement dans le transport écologique sur le segment de l’utilitaire 3,5t. Afin d’accroitre les ventes de véhicules utilitaires électriques, il est nécessaire d’en réduire le coût total de possession (ou TCO (Total Cost of Ownership)). L’objectif de cette thèse est d’étudier et de modéliser le comportement des composants de ce véhicule électrique pour simuler des calculs de TCO. Le composant principal étudié est la batterie, dont la durée de vie limitée conditionne la rentabilité du véhicule. La première partie des travaux fut consacrée à la modélisation du comportement du véhicule en fonction d’une mission client donnée. Une étude des cellules de batterie est réalisée dans le but de construire un modèle multi-physique complet en prenant en considération le vieillissement calendaire et le vieillissement en cyclage. Un modèle énergétique global, comprenant ce modèle batterie, permet de déterminer l’énergie nécessaire pour un parcours donné et de simuler le vieillissement des cellules électrochimiques afin de calculer le TCO. Une seconde partie est orientée vers le calcul du TCO. La mise en oeuvre d’un algorithme d’optimisation avec une méthodologie d’accélération des calculs a permis de réaliser les calculs dans des temps raisonnables (passage de 13h à 15min par itération). Après étude de l’impact du dimensionnement de la batterie sur le TCO, il en ressort que la réduction de la capacité n’entraine pas systématiquement la réduction du TCO. Il existe pour chaque mission un point de TCO optimal (jusqu’à 17% d’éconnomie). Afin d’améliorer le TCO, des stratégies de recharge intelligentes sont élaborées et permettent rentabilité accrue du VUE (jusqu’à 29%). Ce travail a été intégré dans un logiciel d’aide à la décision de la capacité de la batterie suivant les besoins du client, destiné aux forces de ventes commerciales
The electric vehicle is one of the environmentally friendly transport solutions that emit no pollutant during its use. Gruau, manufacturer-converter for light commercial vehicles (LCV), is actively involved in green transport in the 3.5t segment. In order to increase sales of electric LCV, it is necessary to reduce its total cost of ownership (TCO). The objective of this thesis is to study and model the behavior of the components of this electric vehicle in order to simulate TCO. The main component studied is the battery, whose limited lifetime will determine the profitability of the vehicle. The first part of the work was devoted to modeling the behavior of the vehicle according to a given customer mission. The study of battery cells was done with the aim of building a complete multi-physics model taking into account calendar aging and cycling aging. Then, this battery model is integrated in a complete energy model taking into account all the components of the studied vehicle. Then a global model, including this battery model, makes it possible to determine the energy required for a given path and to simulate the aging of the electrochemical cells in order to calculate the TCO. A second part is oriented towards the calculation of the TCO. The implementation of an optimization algorithm, with a methodology of computing acceleration, allowed to achieve the computations in reasonable times (reduction from 13h to 15min by iteration). After studying the impact of battery sizing on the TCO, it appears that the reduction of the battery capacity does not systematically lead to the reduction of the TCO. There is therefore an optimum TCO point for each mission (up to 17% savings). In order to improve the TCO, smart recharging strategies are developed and allow increasing e-LCV profitability (up to 29%). This work is integrated into a decision support software relative to the battery capacity according to customer needs, intended for commercial sales forces
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Saunders, Brian J. "A Total Cost Approach to Supply Chain Risk Modeling." BYU ScholarsArchive, 2011. https://scholarsarchive.byu.edu/etd/3179.

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The modern supply chain is long, complex, interconnected and global, and plays a fundamental role in business competitiveness. These conditions, along with various supply chain management trends in recent years have increased risks in supply chains which threaten supply chain performance. Greater impact, especially on cost, from an increased threat of supply disruptions is one area of particular concern. Companies today are struggling to find effective means to manage this increased risk and avoid adverse financial impacts. An approach to managing supply disruption risk in supply chains based on the minimization of the total cost of ownership (TCO) of the supply chain is explored in this thesis. Insights are provided into an appropriate view of supply chain risk and a general four step risk management process to guide the design and evaluation of a new risk management tool based on such an approach. A prototype of the new total cost-based, modeling and simulation tool was created in partnership with ProModel Corporation and a government contractor that requested to remain anonymous. A preliminary assessment of the effectiveness of this tool in minimizing TCO and providing an interface useable by non-modelers is provided. This study also reviews and compares a sample set of current supply chain risk management methods and tools and compares them with the new tool for relevance in aiding users in managing supply disruption risk. Based on literature findings and preliminary feedback from pilot contextual demonstrations of the tool, the total cost approach to risk modeling appears promising, although the execution needs to be improved with further enhancements made to the prototype tool. In this preliminary study and evaluation, sufficient evidence is not available to determine that the new prototype tool is any more effective than other currently available risk management tools to provide necessary information to make supply chain risk management decisions that minimize TCO of a supply chain. Suggestions for further development of the tool, especially for improvement of the total cost approach, are provided as well as a preliminary evaluation procedure and survey instruments for a more robust evaluation of the new tool.
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Books on the topic "Total Cost of Ownership (TCO)"

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Windows NT network management: Reducing total cost of ownership. Indianapolis, IN: New Riders, 1999.

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Schweiger, Stefan. Total Cost of Ownership: Paradigmenwechsel für Anbieter und Nutzer von Maschinen und Anlagen. Wiesbaden: Betriebswirtschaftlicher Verlag Gabler, 2008.

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Ken, Pepple, ed. Consolidation in the data center: Simplifying IT environments to reduce total cost of ownership. Santa Clara, CA: Sun Microsystems, 2002.

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Office, General Accounting. Military personnel: Navy actions needed to optimize ship crew size and reduce total ownership costs : report to congressional requesters. Washington, D.C. (P.O. Box 37050, Washington, 20013): U.S. General Accounting Office, 2003.

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Reduction of Total Ownership Cost. Storming Media, 2003.

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The Performance of Reduction of Total Ownership Cost (RTOC) Pilot Programs. Storming Media, 2002.

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Salamasick, Mark. PC Management Best Practices: A Study of the Total Cost of Ownership, Risk, Security, and Audit. The Institute of Internal Auditors Research Foundation, 2003.

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Book chapters on the topic "Total Cost of Ownership (TCO)"

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Jaeger, Friedemann. "Total Costs of Ownership (TCO)." In IV-Controlling, 451–77. Wiesbaden: Gabler Verlag, 2000. http://dx.doi.org/10.1007/978-3-663-05899-1_19.

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Thiede, Sebastian, Tim Spiering, Stephan Kohlitz, Christoph Herrmann, and Sami Kara. "Dynamic Total Cost of Ownership (TCO) Calculation of Injection Moulding Machines." In Leveraging Technology for a Sustainable World, 275–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29069-5_47.

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Zapf, Martin, Hermann Pengg, Thomas Bütler, Christian Bach, and Christian Weindl. "Gesamtkosten nach der Total Cost of Ownership Methodik (TCO) – Differenzierung nach Antriebsspezifischen Kosten." In Kosteneffiziente und nachhaltige Automobile, 209–43. Wiesbaden: Springer Fachmedien Wiesbaden, 2019. http://dx.doi.org/10.1007/978-3-658-24060-8_5.

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Zapf, Martin, Hermann Pengg, Thomas Bütler, Christian Bach, and Christian Weindl. "Gesamtkosten nach der Total Cost of Ownership Methodik (TCO) – Differenzierung nach antriebsspezifischen Kosten." In Kosteneffiziente und nachhaltige Automobile, 213–47. Wiesbaden: Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-33251-8_5.

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Roda, Irene, and Marco Garetti. "Application of a Performance-driven Total Cost of Ownership (TCO) Evaluation Model for Physical Asset Management." In Lecture Notes in Mechanical Engineering, 11–23. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15536-4_2.

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Roda, Irene, and Marco Garetti. "Application of a Performance-Driven Total Cost of Ownership (TCO) Evaluation Model for Physical Asset Management." In Value Based and Intelligent Asset Management, 65–78. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20704-5_3.

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Hettesheimer, Tim, Cornelius Moll, Kerstin Jeßberger, and Saskia Franz. "Small Electric Vehicles in Commercial Transportation: Empirical Study on Acceptance, Adoption Criteria and Economic and Ecological Impact on a Company Level." In Small Electric Vehicles, 69–83. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65843-4_6.

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AbstractSmall electric vehicles (SEVs) in commercial transportation have the potential to reduce traffic and its impacts, especially in urban areas. Companies, however, are still reluctant to implement SEVs. Therefore, the aim of this contribution is to shed light on the acceptance of motives for and obstacles to the use of SEVs in commercial transportation. Since the use of SEVs is often discussed in the context of innovative city logistics concepts, such as micro-hubs, our aim is also, to explore the acceptance, economic, and ecological potentials of SEVs in combination with micro-hubs. We use a multi-method approach and combine an online survey with in-depth interviews as well as a total cost of ownership (TCO) and CO2 calculation. Analyzing 350 responses to an online survey revealed that around half the companies surveyed have no knowledge of SEVs. This implies high unexploited potential, since 25% of these companies can imagine using them. In-depth interviews with logistics service providers (LSPs) or logistics departments from different sectors revealed that six of the 13 interviewed LSPs would be willing to implement this concept.
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Ellram, Lisa M. "Total Cost of Ownership." In Handbuch Industrielles Beschaffungsmanagement, 659–71. Wiesbaden: Gabler Verlag, 2002. http://dx.doi.org/10.1007/978-3-663-01582-6_34.

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Cowan, Daniel F. "Total Cost of Ownership." In Informatics for the Clinical Laboratory, 87–97. New York, NY: Springer New York, 2005. http://dx.doi.org/10.1007/978-0-387-22629-3_5.

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Ellram, Lisa M. "Total Cost of Ownership." In Handbuch Industrielles Beschaffungsmanagement, 595–607. Wiesbaden: Gabler Verlag, 1999. http://dx.doi.org/10.1007/978-3-322-99462-2_33.

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Conference papers on the topic "Total Cost of Ownership (TCO)"

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Sellgren, Anders, Graeme Addie, and Krishnan Pagalthivarthi. "Wear and the Total Cost of Ownership of Slurry Pumps." In ASME 2002 Joint U.S.-European Fluids Engineering Division Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/fedsm2002-31283.

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When slurry pumps are considered for procurement for a solids transport requirement, decisions have often been made on initial price rather than the total cost of ownership (TCO). Depending on the type of solids to be transported, the design (and selection) of the pumps and the way they are operated; the wear, part replacement, and downtime can be a significant portion of the overall operating cost. Wear lives are here estimated with recently developed numerical simulation procedures for pump impeller and suction liner wear together with an established wear modeling schema for shells. White iron material is considered and the resulting modeled wear does not include any uncertainty related to the inherent stochastic nature of wear. It is shown in an example how shell, impeller and suction wear life and relative costs are related to different pump size and rotary speed designs. The results form a basis to find the best compromise between pump wear, power and capital cost in an overall TCO-perspective including the users practice and maintenance strategy.
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Riyanto, Riyanto, Setya Agung Riyadi, Chaikal Nuryakin, and Natanael Waraney Gerald Massie. "Estimating the Total Cost of Ownership (TCO) of Electrified Vehicle in Indonesia." In 2019 6th International Conference on Electric Vehicular Technology (ICEVT). IEEE, 2019. http://dx.doi.org/10.1109/icevt48285.2019.8994030.

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Radziwill, Nicole M., and Ronald F. DuPlain. "Using value-based total cost of ownership (TCO) measures to inform subsystem trade-offs." In SPIE Astronomical Telescopes + Instrumentation, edited by George Z. Angeli and Philippe Dierickx. SPIE, 2010. http://dx.doi.org/10.1117/12.856756.

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Barreneche, J. G., A. M. Hernandez, and J. H. Garcia. "Analysis of total cost of ownership (TCO) applied to processes of biomedical technology acquisition competitive intelligence." In 2015 Pan American Health Care Exchanges (PAHCE). IEEE, 2015. http://dx.doi.org/10.1109/pahce.2015.7173325.

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Falcão, Igor W. S., Paulo H. A. Pereira, Rafael F. Vieira, Antonio C. Oliveira Jr, Daniel S. Souza, Marcos C. R. Seruffo, and Diego L. Cardoso. "Modelagem de Custo Total de Propriedade (TCO) de uma Infraestrutura Computacional em Nuvem." In XLVI Seminário Integrado de Software e Hardware. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/semish.2019.6567.

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A computação em nuvem, além de promover um modelo de armazena- mento e processamento de dados compartilhados, fortalece o potencial técnico-econômico do CSP (Cloud Service Provider), apresentando inúmeras possibilidades no âmbito computacional. Neste trabalho, é proposto um modelo de custo e um cenário de avaliação com base no TCO (Total Cost of Ownership), avaliando o contexto, aquisição e operação de equipamentos para implantação de infraestruturas em nuvem. Dessa forma, foi possı́vel especificar os principais ativos de infraestruturas tı́picas de nuvem e sobretudo, avaliar seu desempenho financeiro a partir de projeções de custos considerando aspectos que inferem diretamente no retorno de investimentos de um Data Center.
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Kotani, Masafumi. "Enterprise Applications Portfolio Management Utilizing COTS." In InSITE 2004: Informing Science + IT Education Conference. Informing Science Institute, 2004. http://dx.doi.org/10.28945/2764.

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The software assets that an enterprise applies toward the management of its business processes are bound to evolve in response to business model transformations dictated by changing management environments. Both a given set of software and its associated data form an asset portfolio that needs to be well managed to generate the greatest possible return over time. Tradeoffs between the TCO (Total Cost of Ownership, consisting of development and subsequent maintenance costs) and implementation speed present significant challenges to management decision-making. Here, a portfolio configuration management framework designed from a decision-maker’s point of view is proposed, and an experimental evaluation result is reported.
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Villalobos Leon, Jorge Luis, Fernando Ruales, Sebastian Miranda, Francisco Godin, Efrain Velasquez, Denis Shirikov, Oscar Anaya, et al. "Permanent Magnet Motors: The Future of ESP Applications?" In SPE Gulf Coast Section Electric Submersible Pumps Symposium. SPE, 2021. http://dx.doi.org/10.2118/204485-ms.

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Abstract Permanent magnet motors (PMMs) have been used in electrical submersible pump (ESP) applications worldwide, but the oil and gas industry still has questions about the value of the technology in terms of power savings; return on investment (ROI); and evaluation of power consumption, operational considerations, and reliability. Is this technology the future for ESPs? This paper will provide a real analysis based on more than 200 PMM installations in the Quifa and Rubiales Fields in Colombia, South America. The fields of study are located in a remote location in Colombia where 90% of the total oil production is achieved with ESPs, so power consumption and its efficiency became a focus to optimize the lifting cost of each barrel produced. As a standard in both fields of study, PMMs are installed in all initial completions. Part of the methodology explained in this paper covers electrical power evaluation, including a power factor study, total harmonic distortion (THD) measurements, and criteria for comparing real power savings vs. expected savings as per initial designs. The systematic approach can be used by any other company that wants to evaluate this technology in their fields. Deploying PMM technology in both fields of study has demonstrated, through formal and systematic analysis, the real efficiency that can be achieved by using this technology. Among the measurements confirmed in the field are power factors very close to 1, reactive power savings as high as 40% and active power saving as high as 10.5% (as compared with conventional induction motors). Additionally, the field case studies demonstrate that not all applications will see a direct energy in active power savings (kW) although total required surface apparent power (kVA) in all cases were reduced. An evaluation of total cost of ownership confirmed that in the field of study and similar operational conditions, PMM technology brings the best value for ESP applications. The authors evaluate several of the 239 cases of ESP applications with PMMs, disclosing best practices for performance evaluation and lessons learned while deploying this technology, including safety and economics evaluation to understand the conditions that maximize return on investment (ROI) and total cost of ownership (TCO).
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Prabhakar, Varun J., and Peter Sandborn. "A Model for Making Part Sourcing Decisions for Long Life Cycle Products." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-47593.

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Long life cycle products, commonly found in aviation, medical and critical infrastructure applications, are often fielded and supported for long periods of time (20 years or more). The manufacture and support of long life cycle products rely on the availability of suitable parts, which over long periods of time, leaves the parts susceptible to a number of possible supply chain disruptions such as suppliers exiting the market, counterfeit part risks, and part obsolescence. One solution to mitigating the supply chain risk is the strategic formulation of suitable part sourcing strategies (optimally selecting one or more suppliers from which to purchase parts over the life of the part’s use within a product or within an organization). Strategic sourcing offers one way of avoiding the risk of part unavailability (and its associated penalties), but at the possible expense of qualification and support costs for multiple suppliers. Existing methods used to study part sourcing decisions are procurement-centric where cost tradeoffs focus on part pricing, negotiation practices and purchase volumes. These studies are commonplace in strategic parts management for short life cycle products; however, conventional procurement-centric approaches offer only a limited view when assessing parts used in long life cycle products. Procurement-driven decision-making provides little to no insight into the accumulation of life cycle cost (attributed to the adoption and use of the part), which can be significantly larger than procurement costs in long life cycle products. This paper presents a new life cycle modeling approach to quantify risk that enables cost effective part sourcing strategies. The method quantifies obsolescence risk as “annual expected total cost of ownership (TCO) per part site” modeled by estimating the likelihood of obsolescence and using that likelihood to determine the TCO allowing sourcing strategies to be compared on a life cycle cost basis. The method is demonstrated for electronic parts in an example case study of linear regulators and shows that when procurement and inventory costs are small contributions to the part’s TCO, the cost of qualifying and supporting a second source outweighs the benefits of extending the part’s effective procurement life.
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Prabhakar, Varun J., Hannah Allison, Peter Sandborn, and Bo Eriksson. "Optimizing Part Sourcing Strategies for Low-Volume, Long Life Cycle Products Using Second Sourcing and Part Hoarding." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-12464.

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Long life cycle products, commonly found in aviation, medical and critical infrastructure applications, are often fielded and supported for long periods of time (20 years or more). The manufacture and support of long life cycle products rely on the availability of suitable parts, which over long periods of time, leaves the parts susceptible to supply chain disruptions such as suppliers exiting the market, allocation issues, counterfeit part risks, and part obsolescence. Proactive mitigation strategies exist that can reduce the impact of supply chain disruptions. One solution to mitigating the supply chain risk is the strategic formulation of part sourcing strategies (optimally selecting one or more suppliers from which to purchase parts over the life of the part’s use within a product or organization). Strategic sourcing offers a way of avoiding the risk of part unavailability (and its associated penalties), but at the expense of qualification and support costs for multiple suppliers. An alternative disruption mitigation strategy is hoarding. Hoarding involves stocking enough parts in inventory to satisfy the forecasted part demand (for both manufacturing and maintenance requirements) of a fixed future time period. This excess inventory provides a buffer that reduces the effect of supply chain disruptions on the part total cost of ownership (TCO), but increases the total holding cost. This paper presents a method of performing tradeoff analyses and identifying the optimal combination of second sourcing and hoarding for a specific part and product scenario. A case study was performed to examine the effects of hoarding on both single and second sourced parts. The case study results show that hoarding can contribute to a decrease in the cumulative TCO and a decrease in its variance.
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McCoy, Bernard, Peter MacInnes, Diogenes Angelidis, Robert Collins, Julio Sosa, and Zain Rauf. "Optimizing Deepwater Rig Operations With Advanced Remotely Operated Vehicle Technology." In Offshore Technology Conference. OTC, 2021. http://dx.doi.org/10.4043/30970-ms.

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Abstract In order for capital-intensive deepwater prospects to remain at investment grade potential, it is important the industry achieve meaningful improvement in capital efficiency. Achieving this goal will require a multi-faceted strategy in which advanced new technology and digital transformation will play a determining role. This paper will address the optimization of rig operations through deployment of an advanced Remotely Operated Vehicle (ROV) system that leverages precision robotics and automation technologies; reducing total cost of ownership (TCO) through increased rig productivity, operational certainty and overall utilization. Current ROV technology faces several key limitations which contribute to both schedule and cost variation. These inefficiencies are a combination of human skill variance, ROV system limitations and reliability. Advanced ROV systems have been deployed on two deepwater rigs to demonstrate that machine vision and precision robotics technologies will radically improve the predictability and efficiency of operations. Comprehensive metrics addressing safety, budget impact, cost avoidance & reduction, inventory reduction & non price TCO have been developed to capture the efficiencies and identify the net improvement to drilling and completion operations and yield outcome-based performance. An overview of the key deficiencies and limitations of legacy ROV operations will be conveyed, focusing on; i) High dependency on ROV pilot subsea task skills, ii) Worksite efficiency and ROV availability, iii) Restricted tooling capabilities per dive, iv) Rental tooling logistics and cost, v) Equipment reliability at depth, vi) Inefficient tooling changes, and vii) Dive duration and lost time efficiency launch/recovery time. An overview of how the advanced ROV system resolves these issues will be explained. In addition, an explanation of the productivity metrics will be conveyed, supported with data from the active offshore projects. Key conclusions from the data identify that enhanced robotics will achieve the objectives of i) Reducing schedule and cost risks which improve total cost of ownership, ii) Enhancing capability and improved wellsite efficiency, and iii) Increasing subsea data. The performance issues of legacy ROV operations and associated project cost impact is currently not widely recognized by the offshore drilling community. The realized limitations of such ROV operations and lack of useful performance metrics to identify non-productive time will be explained. The progression in robotic design that drives a new era of subsea robotic efficiency will be conveyed with results from offshore operations, combined with robust metrics that enable significant operational value and cost savings to be attained.
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Reports on the topic "Total Cost of Ownership (TCO)"

1

Boudreau, Michael. Using Cost as an Independent Variable (CAIV) to Reduce Total Ownership Cost. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada444088.

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Boudreau, Michael W. Cost As an Independent Variable (CAIV): Front-End Approaches to Achieve Reduction in Total Ownership Cost. Fort Belvoir, VA: Defense Technical Information Center, June 2005. http://dx.doi.org/10.21236/ada496693.

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Boudreau, Michael W., and Brad R. Naegle. Reduction of Total Ownership Cost. Fort Belvoir, VA: Defense Technical Information Center, September 2003. http://dx.doi.org/10.21236/ada419826.

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Naegle, Brad R., and Michael W. Boudreau. Total Ownership Cost - Tools and Discipline. Fort Belvoir, VA: Defense Technical Information Center, March 2011. http://dx.doi.org/10.21236/ada555665.

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Reed, Danny L., and Leon S. Reed. Reduction of Total Ownership Costs (R-TOC) Best Practices Guide. Fort Belvoir, VA: Defense Technical Information Center, July 2003. http://dx.doi.org/10.21236/ada421455.

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Bridger, Wray W., and Mark D. Ruiz. Total Ownership Cost Reduction Case Study: AEGIS Radar Phase Shifters. Fort Belvoir, VA: Defense Technical Information Center, December 2006. http://dx.doi.org/10.21236/ada460426.

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Lehrer, Griffin, and Steven Wiryadinata. Total Cost of Vehicle Ownership ? Development of Analysis Webtool and Visualization. Office of Scientific and Technical Information (OSTI), October 2020. http://dx.doi.org/10.2172/1714421.

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Ramsden, T. Evaluation of the Total Cost of Ownership of Fuel Cell-Powered Material Handling Equipment. Office of Scientific and Technical Information (OSTI), April 2013. http://dx.doi.org/10.2172/1076655.

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Burnham, Andrew, David Gohlke, Luke Rush, Thomas Stephens, Yan Zhou, Mark Delucchi, Alicia Birky, et al. Comprehensive Total Cost of Ownership Quantification for Vehicles with Different Size Classes and Powertrains. Office of Scientific and Technical Information (OSTI), April 2021. http://dx.doi.org/10.2172/1780970.

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Hunter, Chad, Michael Penev, Evan Reznicek, Jason Lustbader, Alicia Birky, and Chen Zhang. Spatial and Temporal Analysis of the Total Cost of Ownership for Class 8 Tractors and Class 4 Parcel Delivery Trucks. Office of Scientific and Technical Information (OSTI), September 2021. http://dx.doi.org/10.2172/1821615.

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You might also be interested in the extended bibliographies on the topic 'Total Cost of Ownership (TCO)' for particular source types:
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