Academic literature on the topic 'Cost optimal analysis'

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Journal articles on the topic "Cost optimal analysis"

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Sigrist, Diego, Chirag Deb, Mario Frei, and Arno Schlüter. "Cost-optimal retrofit analysis for residential buildings." Journal of Physics: Conference Series 1343 (November 2019): 012030. http://dx.doi.org/10.1088/1742-6596/1343/1/012030.

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Fitri, Ihza Rizkia, Farida Hanum, Ali Kusnanto, and Toni Bakhtiar. "Optimal Pest Control Strategies with Cost-effectiveness Analysis." Scientific World Journal 2021 (April 21, 2021): 1–17. http://dx.doi.org/10.1155/2021/6630193.

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Pest and plant diseases cause damages and economic losses, threatening food security and ecosystem services. Thus, proper pest management is indispensable to mitigate the risk of losses. The risk of environmental hazards induced by toxic chemicals alongside the rapid development of chemical resistance by insects entails more resilient, sustainable, and ecologically sound approaches to chemical methods of control. This study evaluates the application of three dynamical measures of controls, namely, green insecticide, mating disruption, and the removal of infected plants, in controlling pest insects. A model was built to describe the interaction between plants and insects as well as the circulation of the pathogen. Optimal control measures are sought in such a way they maximize the healthy plant density jointly with the pests’ density under the lowest possible control efforts. Our simulation study shows that all strategies succeed in controlling the insects. However, a cost-effectiveness analysis suggests that a strategy with two measures of green insecticide and plant removal is the most cost-effective, followed by one which applies all control measures. The best strategy projects the decrease of potential loss from 65.36% to 6.12%.
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Marchi, Beatrice, Marco Pasetti, and Simone Zanoni. "Life Cycle Cost Analysis for BESS Optimal Sizing." Energy Procedia 113 (May 2017): 127–34. http://dx.doi.org/10.1016/j.egypro.2017.04.034.

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Ferrari, Simone, and Federica Zagarella. "Costs Assessment for Building Renovation Cost-optimal Analysis." Energy Procedia 78 (November 2015): 2378–84. http://dx.doi.org/10.1016/j.egypro.2015.11.193.

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Kharroubi, Idris, and Huyên Pham. "Optimal Portfolio Liquidation with Execution Cost and Risk." SIAM Journal on Financial Mathematics 1, no. 1 (January 2010): 897–931. http://dx.doi.org/10.1137/09076372x.

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Colombo, Maria, Simone Di Marino, and Federico Stra. "Continuity of Multimarginal Optimal Transport with Repulsive Cost." SIAM Journal on Mathematical Analysis 51, no. 4 (January 2019): 2903–26. http://dx.doi.org/10.1137/19m123943x.

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Meng, Fanyi, Ying Wang, Hai Yu, and Zhiliang Zhu. "Devising optimal integration test orders using cost–benefit analysis." Frontiers of Information Technology & Electronic Engineering 23, no. 5 (May 2022): 692–714. http://dx.doi.org/10.1631/fitee.2100466.

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Aminifar, Farrokh, Mahmud Fotuhi-Firuzabad, and Amir Safdarian. "Optimal PMU Placement Based on Probabilistic Cost/Benefit Analysis." IEEE Transactions on Power Systems 28, no. 1 (February 2013): 566–67. http://dx.doi.org/10.1109/tpwrs.2012.2198312.

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Just, PM, DC Mendelssohn, and RL Mehta. "PRN3: COST ANALYSIS OF “OPTIMAL” US DIALYSIS MODALITY UTILIZATION." Value in Health 3, no. 2 (March 2000): 140. http://dx.doi.org/10.1016/s1098-3015(11)70551-4.

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Bandyopadhyay, Santanu, and Nishith B. Desai. "Cost optimal energy sector planning: a Pinch Analysis approach." Journal of Cleaner Production 136 (November 2016): 246–53. http://dx.doi.org/10.1016/j.jclepro.2016.03.077.

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Dissertations / Theses on the topic "Cost optimal analysis"

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Sandve, Kjell. "Cost analysis and optimal maintenance planning for monotone, repairable systems." Thesis, Robert Gordon University, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.336620.

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Wiking, Josefin. "Alternative cost-optimal pathways for the transport sector of Cyprus." Thesis, KTH, Energisystemanalys, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-179032.

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This thesis investigates the possible future pathways for the road transportation sector of Cyprus, in a time horizon from the year 2013 to 2040. The road transportation sector of Cyprus is the most energy consuming sector in the country, completely dependent on the use of diesel and gasoline. In order to comply with the renewable energy target for the transportation sector set by the European Union, Cyprus needs to transform its road transportation sector. The software MESSAGE (Model for Energy Supply Strategy Alternatives and their General Environmental Impact) is used to model the road transport sector, consisting of passenger and freight transportation. The results of the modelling provides insights into the most cost-effective pathways for Cyprus in the future. In addition to the reference scenario, four different scenarios are examined. These scenarios are focusing on different relevant aspects for Cyprus which are renewable energy, natural gas, public transport and hydrogen. The results of the study indicate that the total numbers of petroleum fueled vehicles will increase in the future, and the freight transport will be particularly difficult to transform. For the passenger transport, there will be a fuel switch from gasoline to diesel, since diesel is less expensive than gasoline. There are possibilities for increasing the numbers of alternative low-carbon emitting vehicle technologies in Cyprus. For the passenger transport, the most cost-effective low-carbon vehicle technologies are hybrid diesel electric cars, plug-in hybrid diesel electric cars and hybrid electric diesel buses. For the freight transport, the most cost-effective low-carbon vehicle technologies are natural gas heavy trycks and electric light trucks. Lastly, the results of the study indicate that it will not be possible for Cyprus to reach the renewable energy target for the transportation sector. The country has to investigate in taxation schemes for increasing the numbers of alternative vehicles as well as increasing the blends of biofuels into gasoline and diesel.
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Wang, Yibin. "Cost benefit analysis of condition monitoring systems for optimal maintenance decision making." Thesis, Wichita State University, 2013. http://hdl.handle.net/10057/6847.

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Tremendous advances in high performance sensing and signal processing technology enable the development of condition monitoring systems (CMS) for complex engineered systems to detect, diagnose, and predict the system-wide effects of failure events. Although employing CMS in preventing catastrophic system failures and reducing the operation and maintenance (O&M) costs have been acknowledged, the cost and benefit of CMS have not been well studied and further the advantages of CMS have not been fully recognized for the optimal maintenance decision making, mainly due to the lack of valid theoretical modeling addressing the interrelationship between the CMS effectiveness and system downtime due to system failures. In this study, a Poisson Process model will be developed for the modeling of occurrence of the system-wide failure events and study the potential benefits provided by the CMS in preventing these failure events. With the developed Poisson process model, the cost benefit analysis (CBA) will then be implemented by considering the CMS system reliability and costs varying with its failure detection effectiveness presented by the probabilistic detectability measure. Facilitated by CBA of the CMS, break-even points (BEP) between expected lifecycle benefits and the required CMS detectability level can be found to select optimal CMS for different system failure modes. Moreover, with the help of the CBA results, optimal maintenance strategies can be determined to minimize the O&M costs. The presented CBA methodology for the CMS systems will be demonstrated with an aircraft maintenance case study and the efficacy will be validated.
Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Industrial and Manufacturing Engineering
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Posada, Jarred L., and David E. Caballero. "Item unique identification capability expansion: established process analysis, cost benefit analysis, and optimal marking procedures." Thesis, Monterey, California: Naval Postgraduate School, 2014. http://hdl.handle.net/10945/44647.

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Approved for public release; distribution is unlimited
The purpose of this Master of Business Administration project is to identify possible expansion capabilities, by researching the most cost-effective two-dimensional barcode technology known as an item unique identification that will allow for tracking Department of the Navy assets from cradle to grave. While the Navy is not 100 percent complete, the Office of the Under Secretary of Defense for Acquisition, Technology, and Logistics mandated that all new tangible and legacy items over $5,000 and/or serially managed, mission critical, or controlled by inventory, must be serialized and registered by 2010. There are two methods that the Navy can use to mark such items: intrusive and nonintrusive. For legacy items, the best method to mark an item would be nonintrusive, due to the criticality of maintaining the integrity of the item for safety reasons. Thus, it was determined that the best marking procedure for legacy items would be metal foil tags, generated by a contracting company, since they are the most cost-effective, nonintrusive marking method.
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Budianto, Richard. "A cost-optimal and geospatial analysis for the power system of Sierra Leone." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264349.

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In 2014, the electricity access in Sierra Leone was almost 13.1%, consisting of 42% in urban areas and 1% in rural areas. The high transmission and distribution losses in the national grid, the insufficient generation capacity, and regulatory constraints are also some of the country´s challenges in the power sector (SEforALL Africa Hub, 2018). Nevertheless, the government of Sierra Leone has set a target to increase the electrification rate to 92% in 2030 (SEforALL Africa Hub, 2018). This target could be achieved by exploiting the abundant sources of renewable energy in such as hydro and solar. The objective of this study is to analyze the investments in the power sector of Sierra Leone in order to cover the country´s future electricity needs considering national targets (electrification rate) and different tiers of electricity in the residential sector. The modelling tools, OnSSET,spatial electrification planning tool and OSeMOSYS, cost optimization for medium to long-run integrated assessment and energy planning tool are used for this thesis project. In order to achieve future electricity target, the modelling period of this study has been set to 2015- 2065. Under this study, three scenarios are analyzed, the reference, medium electricity demand, and high electricity demand for the period 2015-2065. In 2015, the consumption level was 578 kWh/household/year for the urban population and 73 kWh/household/ year for the rural population. The reference scenario considers Tier 3 (Global Tracking Framework, 2015) on electricity consumption for urban population and Tier 2 (Global Tracking Framework, 2015) for the rural population in 2065. The medium electricity demand scenario assumes slightly higher energy consumption (Tier 4 (Global Tracking Framework, 2015) for urban population and Tier 3 (Global Tracking Framework, 2015) for rural population) in 2065. Lastly, the high electricity demand scenario assumes the highest electricity demand (Tier 5 (Global Tracking Framework, 2015) for urban population and Tier 4 (Global Tracking Framework, 2015) for rural population) in 2065. This study shows that for Sierra Leone, in order to cover its electricity needs in the future as well as to be fully electrified, its power generation will mainly be based on hydro. In the Reference scenario, where both OnSSET and OSeMOSYS analysis were used, it is suggested that 28% of the total electricity produced is to be generated by solar PV and 60% by hydropower plant. This is due to the fact that OnSSET, as a spatial analysis tool, also takes into consideration the distance between available resource and demand, on top of resource availability. Meanwhile, in the medium and high electricity demand scenarios, where only OSeMOSYS analysis was conducted, hydropower plant shows a more dominant contribution than the reference scenario. Around 68% of total electricity produced for medium electricity demand scenario is from hydropower plant. In the high electricity demand scenario, besides high electricity production from hydro (79.5% of total electricity produced), production from other technology such as HFO and solar PV is more evenly spread, especially in 2065. Overall, it can still be deduced that hydro power plant is the most promising option for electricity generation in all scenarios. This is attributed mostly to its abundance as well as low production costs, such that even when the distance is considered, it is still reasonably more attractive than other options available.
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Kleyner, Andre V. "Determining optimal reliability targets through analysis of product validation cost and field warranty data." College Park, Md. : University of Maryland, 2005. http://hdl.handle.net/1903/3107.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2005.
Thesis research directed by: Mechanical Engineering. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Perman, Daniel. "Optimal väggisoleringstjocklek på hyresfastighet vid begränsad byggyta." Thesis, Örebro universitet, Institutionen för naturvetenskap och teknik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-26411.

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Miljömedvetenheten och ökat intresse för energieffektiva hus har gjort att byggnader isoleras som aldrig förr. Oftast är det på lång sikt ganska så lätt att räkna hem en ökad isoleringsmängd och det är just den ekonomiska vinsten som brukar lyftas fram som det främsta argument varför en beställare bör välja den tjockare isoleringen. För en beställare av hyresfastigheter är det oftast ekonomin som avgör ifall ett projekt ska påbörjas eller inte och denna studie ska därför vara en hjälp till att välja den mest ekonomiska isoleringstjockleken i väggar. Syftet med denna studie är att utreda var den optimala väggisoleringstjocken hamnar på en hyresfastighet med flerfamiljsbostäder som byggs på en begränsad byggyta. Inte sällan finns det krav på maximal byggyta från kommunen och då innebär det att ju tjockare isoleringen är desto mindre blir den uthyrningsbara boytan. Kvalitativa intervjuer låg till grund för att bestämma några vanligt förekommande ytterväggskonstruktioner som isoleringen sedan skulle optimeras på. Dessa ytterväggar placerades på en teoretisk referensbyggnad som därefter energiberäknades med hjälp av handberäkningar där matematiska uttryck för en varierande isoleringstjocklek användes. De teoretiska ytterväggarna kalkylerades därefter med hjälp av kalkylprogrammet Sektionsdata.  En livscykelkostnadsanalys utfördes sedan där historisk statistik på hyror, energipriser och räntor utnyttjades. Slutligen kunde en optimal isoleringstjocklek hittas för varje väggtyp. Väggkonstruktionerna som valts var två betongväggar och två träregelväggar, båda med puts respektive tegel. Optimal isoleringstjocklek för väggkonstruktionen betongstomme med tegel hamnade på 84mm. För väggkonstruktionen betongstomme med puts hamnade optimal isoleringstjocklek på 88mm. För väggkonstruktionerna med trästomme kunde en optimal isoleringstjocklek inte hittas eftersom väggarnas uppbyggnad med två respektive tre isoleringsskikt gjorde att väggarna förblev överisolerade i ett ekonomiskt perspektiv även vid minsta möjliga tjocklek på isoleringsskiktet som skulle optimeras.  Studien visar på att det med dagens byggregler ger en stor vinst att hålla nere på väggisoleringstjockleken på flerfamiljsbostäder som byggs på en begränsad byggyta.
Environmental awareness and increased interest in energy-efficient housing have made the buildings more insulated in Sweden. Usually, it is quite easy to calculate a profit from a greater amount of insulation, in the long term. This is usually the seller’s main argument to why the client should choose the thicker insulation. For a client that wants to build a rental property, it is usually the economy that determines whether a project should be started or not. Hopefully this study will be a help to choose the most economic insulation thickness in walls. The purpose of this study is to investigate where the optimum of wall insulation thickness is in an apartment building for renting which is built on a limited area. Quite often there are requirements for a maximum building area from the municipality, which means that the rentable living space will come smaller when the insulation gets thicker. Qualitative interviews were used to determinate the common wall constructions which the insulation would be optimized for. These walls were placed in a theoretical reference building in which the energy use were estimated using hand calculations where mathematical expressions of a variety of insulation thickness were used. Thereafter, the prices of the walls were calculated using a spreadsheet program called Sektionsdata. A life cycle cost analysis was performed in which the historical statistics on rents, energy prices and interest rates were used. Finally, the optimal insulation thickness was found for each wall type. The wall types chosen were a wall of concrete and brick, a wall of concrete and rendering, a wall of wood and brick and a wall of wood and rendering. Optimal insulation thickness of the wall with concrete and brick ended up at 84mm. For the wall of rendered concrete, the optimal insulation thickness ended up at 88mm. The optimal insulation thickness of the walls of wood could not be found as the wall structure with two and three insulation layers made the walls too isolated in an economic perspective even at a minimal thickness of the layer that was going to be optimized. The study shows that with current building codes in Sweden it is profitable to keep down the wall insulation thickness in an apartment building for renting, built on a limited area.
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Krsmanovic, Dusko <1985&gt. "A Law and Economics Analysis of Lobbying Regulation Towards an optimal structure through the Cost Indicator Index." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amsdottorato.unibo.it/6695/4/Krsmanovic_Dusko_Tesi.pdf.

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This research primarily represents a contribution to the lobbying regulation research arena. It introduces an index which for the first time attempts to measure the direct compliance costs of lobbying regulation. The Cost Indicator Index (CII) offers a brand new platform for qualitative and quantitative assessment of adopted lobbying laws and proposals of those laws, both in the comparative and the sui generis dimension. The CII is not just the only new tool introduced in the last decade, but it is the only tool available for comparative assessments of the costs of lobbying regulations. Beside the qualitative contribution, the research introduces an additional theoretical framework for complementary qualitative analysis of the lobbying laws. The Ninefold theory allows a more structured assessment and classification of lobbying regulations, both by indication of benefits and costs. Lastly, this research introduces the Cost-Benefit Labels (CBL). These labels might improve an ex-ante lobbying regulation impact assessment procedure, primarily in the sui generis perspective. In its final part, the research focuses on four South East European countries (Slovenia, Serbia, Montenegro and Macedonia), and for the first time brings them into the discussion and calculates their CPI and CII scores. The special focus of the application was on Serbia, whose proposal on the Law on Lobbying has been extensively analysed in qualitative and quantitative terms, taking into consideration specific political and economic circumstances of the country. Although the obtained results are of an indicative nature, the CII will probably find its place within the academic and policymaking arena, and will hopefully contribute to a better understanding of lobbying regulations worldwide.
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Krsmanovic, Dusko <1985&gt. "A Law and Economics Analysis of Lobbying Regulation Towards an optimal structure through the Cost Indicator Index." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amsdottorato.unibo.it/6695/.

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This research primarily represents a contribution to the lobbying regulation research arena. It introduces an index which for the first time attempts to measure the direct compliance costs of lobbying regulation. The Cost Indicator Index (CII) offers a brand new platform for qualitative and quantitative assessment of adopted lobbying laws and proposals of those laws, both in the comparative and the sui generis dimension. The CII is not just the only new tool introduced in the last decade, but it is the only tool available for comparative assessments of the costs of lobbying regulations. Beside the qualitative contribution, the research introduces an additional theoretical framework for complementary qualitative analysis of the lobbying laws. The Ninefold theory allows a more structured assessment and classification of lobbying regulations, both by indication of benefits and costs. Lastly, this research introduces the Cost-Benefit Labels (CBL). These labels might improve an ex-ante lobbying regulation impact assessment procedure, primarily in the sui generis perspective. In its final part, the research focuses on four South East European countries (Slovenia, Serbia, Montenegro and Macedonia), and for the first time brings them into the discussion and calculates their CPI and CII scores. The special focus of the application was on Serbia, whose proposal on the Law on Lobbying has been extensively analysed in qualitative and quantitative terms, taking into consideration specific political and economic circumstances of the country. Although the obtained results are of an indicative nature, the CII will probably find its place within the academic and policymaking arena, and will hopefully contribute to a better understanding of lobbying regulations worldwide.
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Ertem, Mustafa Alp. "Optimal Scope Of Work For International Integrated Systems." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606209/index.pdf.

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This study develops a systems integration project scheduling model which identifies the assignment of activity responsibilities that minimizes expected project implementation cost, considering the project risk. Assignment of resources to the individual jobs comprising the project is a persistent problem in project management. Mostly, skilled labor is an essential resource and both the time and the cost incurred to perform a job depend on the resource to which job is assigned. A systems integration project includes implementation issues in the areas of shipping, installation, and commissioning. Implementation problems lead to project delays, increased costs, and decreased performance, leading to customer dissatisfaction with the systems integrator. Activities can be performed in one of three ways: by the integrator, by the customer, or jointly between the integrator and customer. In this study we select the performer (mode) of each activity comprising the project network while taking into consideration the varying cost, duration and extreme event probability of each activity among different modes-integrator, joint work and customer. Use of the model will permit customers and integrators to mutually agree on an appropriate assignment of responsibilities in the contract. Systems integrators can also use the model to improve their implementation services offerings. An experimental design and a Monte-Carlo simulation study were conducted to see the effects of the parameters of the problem on the selection of modes.
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Books on the topic "Cost optimal analysis"

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L, Patterson Richard, and United States. National Aeronautics and Space Administration., eds. Minimize system cost by choosing optimal subsystem reliability and redundancy. [Washington, DC]: National Aeronautics and Space Administration, 1993.

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L, Patterson Richard, and United States. National Aeronautics and Space Administration., eds. Minimize system cost by choosing optimal subsystem reliability and redundancy. [Washington, DC]: National Aeronautics and Space Administration, 1993.

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E, Taplin John H., ed. Cost-benefit analysis and evolutionary computing: Optimal scheduling of interactive road projects. Cheltenham, UK: E. Elgar Pub., 2005.

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Boyle, Phelim P. Optimal portfolio selection with transaction costs. Toronto: University of Toronto, Dept. of Statistics, 1994.

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Ting, Wang. Zhongguo cheng shi shi du ren kou jue ding yu ce du yan jiu: Ji yu cheng shi hua fa zhan shou yi cheng ben xiao ying shi jiao = Study on the optimal situation of China's urban population : based on cost-benefit analysis in an urban perspective. Beijing Shi: Jing ji ke xue chu ban she, 2016.

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Whitehead, Judy A. Empirical production analysis and optimal technological choice for economists: A dynamic programming approach. Aldershot [Hants, England]: Avebury, 1990.

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Ustundag, Alp. The Value of RFID: Benefits vs. Costs. London: Springer London, 2013.

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Grauwe, Paul de. Economics of monetary union. 8th ed. Oxford: Oxford University Press, 2009.

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The economics of monetary union. 5th ed. Oxford: Oxford University Press, 2003.

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Grauwe, Paul de. Economics of monetary union. 8th ed. Oxford: Oxford University Press, 2009.

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Book chapters on the topic "Cost optimal analysis"

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Moreno, E., F. J. Vázquez–Polo, M. A. Negrín, and M. Martel–Escobar. "Subgroup Optimal Decisions in Cost–Effectiveness Analysis." In Advances in Intelligent Systems and Computing, 67–74. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99698-1_8.

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Kato, K. "Cost/Benefits Analysis of the Optimal Power Flow." In Optimization in Planning and Operation of Electric Power Systems, 349–65. Heidelberg: Physica-Verlag HD, 1993. http://dx.doi.org/10.1007/978-3-662-12646-2_11.

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Dompere, Kofi Kissi. "The Theory of Optimal Social Discount Rate." In Cost-Benefit Analysis and the Theory of Fuzzy Decisions, 55–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-44449-7_2.

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Swinehart, Susan. "Determining an Optimal Afforestation Policy: A Cost-Benefit Analysis." In Energy and Environmental Policy Modeling, 99–124. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-4953-6_7.

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Presman, Ernst, Suresh P. Sethi, and Hanqin Zhang. "Optimal Production Planning in Stochastic Jobshops with Long-Run Average Cost." In Optimization, Dynamics, and Economic Analysis, 259–74. Heidelberg: Physica-Verlag HD, 2000. http://dx.doi.org/10.1007/978-3-642-57684-3_22.

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Dompere, Kofi Kissi. "The Theory of Fuzzy Optimal and Approximate Social Prices." In Cost-Benefit Analysis and the Theory of Fuzzy Decisions, 1–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-44449-7_1.

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Lozovanu, Dmitrii, and Dan Stratila. "Optimal Flow in Dynamic Networks with Nonlinear Cost Functions on Edges." In Analysis and Optimization of Differential Systems, 247–58. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-0-387-35690-7_25.

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Dompere, Kofi Kissi. "The Theory of Fuzzy Decisions, Optimal Taxation and Cost-Benefit Distribution." In Cost-Benefit Analysis and the Theory of Fuzzy Decisions, 147–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-44449-7_5.

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Rogers, David F. "Optimal Strategies for Investment in Setup Cost Reductions in a Just-in-Time Environment." In Cost Analysis Applications of Economics and Operations Research, 298–310. New York, NY: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4684-6384-2_17.

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Mao, Peng, Bingqing Jiang, Xia Yao, and Sishuo Li. "Analysis of the Relationship Between Optimal Incentive Plan and Supervision Cost." In Proceedings of the 19th International Symposium on Advancement of Construction Management and Real Estate, 1207–17. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-46994-1_101.

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Conference papers on the topic "Cost optimal analysis"

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De Nocker, L., S. Broekx, I. Liekens, D. Bulckaen, S. Smets, J. Gauderis, and W. Dauwe. "Cost-benefit analysis to select the optimal flood protection strategy along the Scheldt." In RISK ANALYSIS 2006. Southampton, UK: WIT Press, 2006. http://dx.doi.org/10.2495/risk060261.

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Hirokawa, Noriyasu, Kikuo Fujita, and Tomoki Ushiro. "Computational Cost Improvement of Robust Optimal Design by Cumulative Function Approximation." In 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2004. http://dx.doi.org/10.2514/6.2004-4381.

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Lee, Kwang-Min, Hyo-Nam Cho, Jong-Kwon Lim, and Kyung-Hoon Park. "Life-Cycle Cost Effective Optimal Seismic Design for Continuous PSC Bridges." In Third IABMAS Workshop on Life-Cycle Cost Analysis and Design of Civil Infrastructures Systems. Reston, VA: American Society of Civil Engineers, 2003. http://dx.doi.org/10.1061/40707(240)27.

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Streicher, H., and R. Rackwitz. "Renewal Models for Optimal Life-Cycle Cost of Aging Civil Infrastructures." In Third IABMAS Workshop on Life-Cycle Cost Analysis and Design of Civil Infrastructures Systems. Reston, VA: American Society of Civil Engineers, 2003. http://dx.doi.org/10.1061/40707(240)41.

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O'Such, Michael. "Optimal Vehicle Design Using the Integrated System and Cost Modeling Tool Suite." In 13th AIAA/ISSMO Multidisciplinary Analysis Optimization Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2010. http://dx.doi.org/10.2514/6.2010-9087.

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Boucheneb, Hanifa, Didier Lime, Olivier H. Roux, and Charlotte Seidner. "Optimal-Cost Reachability Analysis Based on Time Petri Nets." In 2018 18th International Conference on Application of Concurrency to System Design (ACSD). IEEE, 2018. http://dx.doi.org/10.1109/acsd.2018.000-1.

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de Marinis, G., R. Gargano, Z. Kapelan, D. Savic, and C. Tricarico. "Multiobjective Optimal Rehabilitation of Hydraulic Networks based on the Cost of Reliability." In Eighth Annual Water Distribution Systems Analysis Symposium (WDSA). Reston, VA: American Society of Civil Engineers, 2008. http://dx.doi.org/10.1061/40941(247)176.

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So/rensen, John Dalsgaard, and Michael Havbro Faber. "Reliability-Based Optimal Planning of Maintenance and Inspection." In First US-Japan Workshop on Life-Cycle Cost Analysis and Design of Civil Infrastructure Systems. Reston, VA: American Society of Civil Engineers, 2001. http://dx.doi.org/10.1061/40571(304)15.

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Liu, Xiu Ting, Sen Lin, and Jun Yang. "Optimal trial number for D-optimal designs based on efficiency-cost ratio analysis." In 2014 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2014. http://dx.doi.org/10.1109/ieem.2014.7058599.

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Sharma, Ashok K., and Prabhata K. Swamee. "Cost Considerations and General Principles in the Optimal Design of Water Distribution Systems." In Eighth Annual Water Distribution Systems Analysis Symposium (WDSA). Reston, VA: American Society of Civil Engineers, 2008. http://dx.doi.org/10.1061/40941(247)85.

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Reports on the topic "Cost optimal analysis"

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Posada, Jarred L., and David E. Caballero. Item Unique Identification Capability Expansion: Established Process Analysis, Cost Benefit Analysis, and Optimal Marking Procedures. Fort Belvoir, VA: Defense Technical Information Center, December 2014. http://dx.doi.org/10.21236/ada620873.

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Saito, Mitsuru, and Kumares Sinha. The Development of Optimal Strategies for Maintenance, Rehabilitation, and Replacement of Highway Bridges: Volume 4 - Cost Analysis : Executive Summary and Final Report. West Lafayette, IN: Purdue University, 1989. http://dx.doi.org/10.5703/1288284314170.

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Felix, Meier, Wilfried Rickels, Christian Traeger, and Martin Quaas. Working paper published on NETs in strategically interacting regions based on simulation and analysis in an extended ACE model. OceanNets, 2022. http://dx.doi.org/10.3289/oceannets_d1.5.

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Net-zero climate policies foresee deployment of atmospheric carbon dioxide removal wit geological, terrestrial, or marine carbon storage. While terrestrial and geological storage would be governed under the framework of national property rights, marine storage implies that carbon is transferred from one global common, the atmosphere, to another global common, the ocean, in particular if storage exceeds beyond coastal applications. This paper investigates the option of carbon dioxide removal (CDR) and storage in different (marine) reservoir types in an analytic climate-economy model, and derives implications for optimal mitigation efforts and CDR deployment. We show that the introduction of CDR lowers net energy input and net emissions over the entire time path. Furthermore, CDR affects the Social Cost of Carbon (SCC) via changes in total economic output but leaves the analytic structure of the SCC unchanged. In the first years after CDR becomes available the SCC is lower and in later years it is higher compared to a standard climate-economy model. Carbon dioxide emissions are first higher and then lower relative to a world without CDR. The paper provides the basis for the analysis of decentralized and potentially non-cooperative CDR policies.
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Iyer, Ananth V., Samuel Labi, Steven R. Dunlop, Dutt J. Thakkar, Sayak Mishra, Lavanya Krishna Kumar, Runjia Du, Miheeth Gala, Apoorva Banerjee, and Gokul Siddharthan. Heavy Fleet and Facilities Optimization. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317365.

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The Indiana Department of Transportation (INDOT) is responsible for timely clearance of snow on state-maintained highways in Indiana as part of its wintertime operations. For this and other maintenance purposes, the state’s subdistricts maintain 101 administrative units spread throughout the state. These units are staffed by personnel, including snow truck drivers and house snow removal trucks and other equipment. INDOT indicated a need to carry out value engineering analysis of the replacement timing of the truck fleet. To address these questions, this study carried out analysis to ascertain the appropriate truck replacement age, that is different across each of the state's three weather-based regions to minimize the truck life cycle cost. INDOT also indicated a need for research guidance in possible revisions to the administrative unit locations and optimal routes to be taken by trucks in each unit in order to reduce deadhead miles. For purposes of optimizing the truck snow routes, the study developed two alternative algorithmic approaches. The first uses mathematical programming to select work packets for trucks while ensuring that snow is cleared at all snow routes and allowing the users to identify optimal route and unit location. The second approach uses network routing concepts, such as the rural postman problem, and allows the user to change the analysis inputs, such as the number of available drivers and so on. The first approach developed using opensolver (an open source tool with excel) and the second approach coded as an electronic tool, are submitted as part of this report. Both approaches can be used by INDOT’s administrative unit managers for decision support regarding the deployment of resources for snow clearing operations and to minimize the associated costs.
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Cordella, Tito, and Andrew Powell. Preferred and Non-Preferred Creditors. Inter-American Development Bank, March 2021. http://dx.doi.org/10.18235/0003109.

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International financial institutions (IFIs) generally enjoy preferred creditors treatment (PCT). Although PCT rarely appears in legal contracts, when sovereigns restructure bilateral or commercial debts, they normally pay IFIs in full. This paper presents a model where a creditor, such as an IFI, that can commit to lend limited amounts at the risk-free rate and can refrain from lending into arrears is always repaid and adds value. The analysis suggests that IFIs and market lenders can both enhance welfare, even if banning commercial borrowing can sometimes be optimal. To maintain their status, preferred lenders should offer low cost financing in volumes that are consistent with countries' incentives to repay even in bad states. This suggests such lenders should not differentiate lending interest rates according to risk and should not participate in the restructuring of commercial debt.
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Anilkumar, Rahul, Benjamin Melone, Michael Patsula, Christopher Tran, Christopher Wang, Kevin Dick, Hoda Khalil, and G. A. Wainer. Canadian jobs amid a pandemic : examining the relationship between professional industry and salary to regional key performance indicators. Department of Systems and Computer Engineering, Carleton University, June 2022. http://dx.doi.org/10.22215/dsce/220608.

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The COVID-19 pandemic has contributed to massive rates of unemployment and greater uncertainty in the job market. There is a growing need for data-driven tools and analyses to better inform the public on trends within the job market. In particular, obtaining a “snapshot” of available employment opportunities mid-pandemic promises insights to inform policy and support retraining programs. In this work, we combine data scraped from the Canadian Job Bank and Numbeo globally crowd-sourced repository to explore the relationship between job postings during a global pandemic and Key Performance Indicators (e.g. quality of life index, cost of living) for major cities across Canada. This analysis aims to help Canadians make informed career decisions, collect a “snapshot” of the Canadian employment opportunities amid a pandemic, and inform job seekers in identifying the correct fit between the desired lifestyle of a city and their career. We collected a new high-quality dataset of job postings from jobbank.gc.ca obtained with the use of ethical web scraping and performed exploratory data analysis on this dataset to identify job opportunity trends. When optimizing for average salary of job openings with quality of life, affordability, cost of living, and traffic indices, it was found that Edmonton, AB consistently scores higher than the mean, and is therefore an attractive place to move. Furthermore, we identified optimal provinces to relocate to with respect to individual skill levels. It was determined that Ajax, Marathon, and Chapleau, ON are each attractive cities for IT professionals, construction workers, and healthcare workers respectively when maximizing average salary. Finally, we publicly release our scraped dataset as a mid-pandemic snapshot of Canadian employment opportunities and present a public web application that provides an interactive visual interface that summarizes our findings for the general public and the broader research community.
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Ratmanski, Kiril, and Sergey Vecherin. Resilience in distributed sensor networks. Engineer Research and Development Center (U.S.), October 2022. http://dx.doi.org/10.21079/11681/45680.

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With the advent of cheap and available sensors, there is a need for intelligent sensor selection and placement for various purposes. While previous research was focused on the most efficient sensor networks, we present a new mathematical framework for efficient and resilient sensor network installation. Specifically, in this work we formulate and solve a sensor selection and placement problem when network resilience is also a factor in the optimization problem. Our approach is based on the binary linear programming problem. The generic formulation is probabilistic and applicable to any sensor types, line-of-site and non-line-of-site, and any sensor modality. It also incorporates several realistic constraints including finite sensor supply, cost, energy consumption, as well as specified redundancy in coverage areas that require resilience. While the exact solution is computationally prohibitive, we present a fast algorithm that produces a near-optimal solution that can be used in practice. We show how such formulation works on 2D examples, applied to infrared (IR) sensor networks designed to detect and track human presence and movements in a specified coverage area. Analysis of coverage and comparison of sensor placement with and without resilience considerations is also performed.
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Ribeiro, João A., Paulo J. Pereira, and Elísio M. Brandão. A real options model to determine the optimal contractual penalty for a BOT project. CICEE. Universidade Autónoma de Lisboa, 2021. http://dx.doi.org/10.26619/ual-cicee/wp06.2021.

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Public-Private Partnerships (PPP) became one of the most common types of public procurement arrangements and Build-Own-Transfer (BOT) projects, awarded through adequate bidding competitions, have been increasingly promoted by governments. The theoretical model herein proposed is based on a contractual framework where the government grants leeway to the private entity regarding the timing for project implementation. However, the government is aware that delaying the beginning of operations will lead to the emergence of social costs, i.e., the costs that result from the corresponding loss of social welfare. This fact should motivate the government to include a contractual penalty in case the private firm does not implement the project immediately. The government also recognizes that the private entity is more efficient in constructing the project facility and also in running the subsequent operations. The model’s outcome is the optimal value for the legal penalty the government should include in the contract form. Sensitivity analysis reveals that there is a level for each of the comparative efficiency factors above which there is no need to impose a contractual penalty, for a given level of social costs. Finally, the effects of including a non-optimal penalty value in the contract form, which derives from overestimating or underestimating the selected bidder’s real comparative efficiency are examined, using a numerical example. Results demonstrate that overestimating (underestimating) the selected bidder’s real comparative efficiency leads to the inclusion of a below-optimal (above-optimal) value for the legal penalty in the contract and produces effects the government should prevent by estimating the comparative efficiency factors with full accurac.
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Iyer, Ananth V., Samuel Labi, Steven Dunlop, Thomas Brady Jr., and Eki Amijaya. Cost and Benefit Analysis of Installing Fiber Optics on INDOT Projects. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317131.

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The Indiana Department of Transportation (INDOT) is tasked with the stewardship of billions of dollars’ worth of public invested highway infrastructure. Not only does INDOT continually seek design and operational policies that foster cost effective project delivery and procurement, they also seek opportunities for revenue generation. Due to population growth and the increased demand for online connectivity and global information transmission, the fiber-optic cable industry has experienced rapid growth over the past few years. Information and communication technology (ICT) companies have long sought to achieve higher economic productivity by installing fiber-optic cables in the right of way (ROW) of access-controlled highways. Based on these developments, an experiment was conducted to measure the economic impact in Indiana. To determine this impact, a database was developed by compartmentalizing the analysis into (1) GDP per county per industry type, (2) the natural growth of GDP as a factor, and (3) the extent of contribution of broadband in the growth of GDP. A general formula was developed to incorporate the adjusted median income on both the industry and county levels, along with a broadband contribution factor. This formula was employed to determine policies that can produce optimum economic outcome by leveraging the Pareto method.
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Corriveau, Elizabeth, Ashley Mossell, Holly VerMeulen, Samuel Beal, and Jay Clausen. The effectiveness of laser-induced breakdown spectroscopy (LIBS) as a quantitative tool for environmental characterization. Engineer Research and Development Center (U.S.), April 2021. http://dx.doi.org/10.21079/11681/40263.

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Laser-induced breakdown spectroscopy (LIBS) is a rapid, low-cost analytical method with potential applications for quantitative analysis of soils for heavy metal contaminants found in military ranges. The Department of Defense (DoD), Army, and Department of Homeland Security (DHS) have mission requirements to acquire the ability to detect and identify chemicals of concern in the field. The quantitative potential of a commercial off-the-shelf (COTS) hand-held LIBS device and a classic laboratory bench-top LIBS system was examined by measuring heavy metals (antimony, tungsten, iron, lead, and zinc) in soils from six military ranges. To ensure the accuracy of the quantified results, we also examined the soil samples using other hand-held and bench-top analytical methods, to include Inductively Coupled Plasma Optical Emission Spectrometry (ICP-OES) and X-Ray Fluorescence (XRF). The effects of soil heterogeneity on quantitative analysis were reviewed with hand-held and bench-top systems and compared multivariate and univariate calibration algorithms for heavy metal quantification. In addition, the influence of cold temperatures on signal intensity and resulting concentration were examined to further assess the viability of this technology in cold environments. Overall, the results indicate that additional work should be performed to enhance the ability of LIBS as a reliable quantitative analytical tool.
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