Academic literature on the topic 'Optimization of costs'

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Journal articles on the topic "Optimization of costs"

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Podolchak, N., and B. Chepil. "Optimization of administrative management costs." Economics, Entrepreneuship, Management 2, no. 1 (2015): 53–58. http://dx.doi.org/10.23939/eem2015.01.053.

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Oppermann, M., W. Sauer, and H. Wohlrabe. "Optimization of quality costs." Robotics and Computer-Integrated Manufacturing 19, no. 1-2 (2003): 135–40. http://dx.doi.org/10.1016/s0736-5845(02)00070-4.

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Kobyakova, O. S., I. A. Deev, and I. P. Shibalkov. "University Costs Optimization: Practical Solutions." University Management: Practice and Analysis 104, no. 4 (2016): 111–18. http://dx.doi.org/10.15826/umj.2016.103.033.

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Mertens, Stephan. "Random Costs in Combinatorial Optimization." Physical Review Letters 84, no. 6 (2000): 1347–50. http://dx.doi.org/10.1103/physrevlett.84.1347.

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Ignatius, Riyadi Mardiyanto, Zein Hermagasantos, and Soeprijanto Adi. "Combining Parameters of Fuel and Greenhouse Gas Costs as Single Objective Function for Optimization of Power Flow." TELKOMNIKA Telecommunication, Computing, Electronics and Control 15, no. 4 (2017): 1585–600. https://doi.org/10.12928/TELKOMNIKA.v15i4.5769.

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The Kyoto Protocol is a protocol that highlights on greenhouse gases that have been adopted by many countries. Based on this protocol, power plants that produce emissions are encouraged to pay compensation. Conventionally, optimization of fuel mix in the electric power system components has not involved emission charges on the electricity system. This paper proposes a single objective function of a mathematical model for the calculation of power flow optimization involving greenhouse gas emissions costs to the fuel cost function. The single objective function derived using the mathematical mod
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Hwang, Ming-Lang Tun, Wi-Lang Collin, and Lee Sen Wang-xu. "Quantum computing and supply chain optimization: addressing complexity and efficiency challenges." International Journal of Enterprise Modelling 15, no. 3 (2021): 148–62. http://dx.doi.org/10.35335/emod.v15i3.49.

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Quantum computing is used to address supply chain optimization complexity and efficiency. Multiple locations, time periods, transportation expenses, facility opening costs, production capacity, and demand fulfillment requirements complicate supply chains. Supply chain optimization's complexity and huge solution areas challenge traditional optimization methods. Quantum algorithms can efficiently explore bigger solution areas in quantum computing. Starting with problem identification, this research reviews quantum computing and supply chain optimization literature. The supply chain optimization
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Sulaksana, Jaka, Ida Marina, and Inka Fatimah. "OPTIMIZATION OF GEDONG GINCU MANGO DISTRIBUTION COSTS IN MAJALENGKA DISTRICT." Agrisocionomics: Jurnal Sosial Ekonomi Pertanian 8, no. 1 (2023): 288–309. http://dx.doi.org/10.14710/agrisocionomics.v8i1.19404.

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Facing free trade, Indonesia is required to increase the performance of mango production in order to compete with mangoes from other countries, but the performance of gedong gincu mango agribusiness still faces a number of obstacles, both on farm and off farm. One of them is to optimize distribution costs by designing a transportation model to determine the amount of goods that must be sent from each source to each destination in such a way that the total transportation cost is minimum. The transportation model used is Vogel's Approximation Method. The purpose of this research was to find out
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Hedvicaková, Martina, and Ivan Soukal. "Retail core banking services costs optimization." Procedia Technology 1 (2012): 177–82. http://dx.doi.org/10.1016/j.protcy.2012.02.033.

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Chen, Shu-ping, Chong Li, Sheng-hong Li, and Xiong-wei Wu. "Portfolio Optimization Model with Transaction Costs." Acta Mathematicae Applicatae Sinica, English Series 18, no. 2 (2002): 231–48. http://dx.doi.org/10.1007/s102550200022.

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Al Arrayedh, Mahmoud, Khalid Burashid, and Khalid Almansoor. "RAJJ RO plant operational costs optimization." Desalination 97, no. 1-3 (1994): 235–51. http://dx.doi.org/10.1016/0011-9164(94)00090-5.

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Dissertations / Theses on the topic "Optimization of costs"

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CARLOS, ERICA TELLES. "TRANSMISSION COSTS ALLOCATION VIA BILEVEL OPTIMIZATION." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2016. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=28409@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>FUNDAÇÃO DE APOIO À PESQUISA DO ESTADO DO RIO DE JANEIRO<br>BOLSA NOTA 10<br>O trabalho Alocação de Custos pelo Uso do Sistema de Transmissão via Otimização Binível propõe uma nova abordagem para o problema de alocação de custos do sistema de transmissão, combinando os problemas de fluxo de potência e de cálculo das tarifas de transmissão, usualmente resolvidos separadamente, em um modelo de otimização binível. A proposta se baseia na multiplicidade de soluções viáveis para
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Stratila, Dan. "Combinatorial optimization problems with concave costs." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/46661.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2009.<br>Includes bibliographical references (p. 83-89).<br>In the first part, we study the problem of minimizing a separable concave function over a polyhedron. We assume the concave functions are nonnegative nondecreasing on R+, and the polyhedron is in RI' (these assumptions can be relaxed further under suitable technical conditions). We show how to approximate this problem to 1+ E precision in optimal value by a piecewise linear minimization problem so that the number of resultin
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Tomasi, Silvia. "Optimization Modulo Theories with Linear Rational Costs." Doctoral thesis, Università degli studi di Trento, 2014. https://hdl.handle.net/11572/368143.

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In the contexts of automated reasoning (AR) and formal verification (FV),important { decision} problems are effectively encoded into Satisfiability Modulo Theories (SMT). In the last decade efficient SMT solvers have been developed for several theories of practical interest (e.g., linear arithmetic, arrays, bit-vectors). Surprisingly, little work has been done to extend SMT to deal with optimization problems; in particular, concerning the development of SMT solvers able to produce solutions which minimize cost functions over arithmetical variables (we are aware of only one very-recent work [
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Tomasi, Silvia. "Optimization Modulo Theories with Linear Rational Costs." Doctoral thesis, University of Trento, 2014. http://eprints-phd.biblio.unitn.it/1197/1/phd_thesis_Silvia_Tomasi.pdf.

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In the contexts of automated reasoning (AR) and formal verification (FV),important { decision} problems are effectively encoded into Satisfiability Modulo Theories (SMT). In the last decade efficient SMT solvers have been developed for several theories of practical interest (e.g., linear arithmetic, arrays, bit-vectors). Surprisingly, little work has been done to extend SMT to deal with optimization problems; in particular, concerning the development of SMT solvers able to produce solutions which minimize cost functions over arithmetical variables (we are aware of only one very-recent wor
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Herrmann, Todd Matthew. "A critical parameter optimization of launch vehicle costs." College Park, Md. : University of Maryland, 2006. http://hdl.handle.net/1903/3927.

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Thesis (M.S.) -- University of Maryland, College Park, 2006.<br>Thesis research directed by: Dept. of Aerospace 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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Guasch, Rodriguez David. "Reducing total fulfillment costs through distribution network design optimization." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/80998.

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Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; in conjunction with the Leaders for Global Operations Program at MIT, 2013.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 56-57).<br>Compared to legacy retailers, online retailers have the potential to better accommodate buyer needs by offering more service time and inventory options. One fundamental operational challenge faced by most online businesses is designing a cost effective distrib
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Chryssikou, Efthalia 1971. "Multiperiod portfolio optimization in the presence of transaction costs." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/9926.

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Myers, Jeremy D. (Jeremy Dale). "Portfolio optimization with transaction costs and preconceived portfolio weights." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/61296.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 87-88).<br>In the financial world, many quantitative investment managers have developed sophisticated statistical techniques to generate signals about expected returns from previous market data. However, the manner in which they apply this information to rebalancing their portfolios is often ad-hoc, trading off between rebalancing their assets into an allocation that generates the greatest expect
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Liu, Cong. "Asset allocation and portfolio optimization with small transaction costs." Thesis, Imperial College London, 2016. http://hdl.handle.net/10044/1/42774.

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This thesis is devoted to the asset allocation and portfolio optimization with small transaction costs. Three topics are studied. The first and second topics are on asset allocation problems with purely proportional transaction cost and strictly positive transaction cost, respectively. The fundamental objective is to keep the asset portfolio close to a target portfolio and in the meantime to reduce the trading cost in doing so. For each problem, we derive the quasi-variational inequality and prove a verification theorem giving sufficient conditions for a QVI solution to be the value function.
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Asumeng-Denteh, Emmanuel. "Transaction costs and resampling in mean-variance portfolio optimization." Link to electronic thesis, 2004. http://www.wpi.edu/Pubs/ETD/Available/etd-0430104-123456/.

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Books on the topic "Optimization of costs"

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Šauer, Petr. Environmental protection costs: Concepts, effectiveness & optimization. Nakladatelství Oeconomica, 2005.

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K, Humphreys Kenneth, and American Association of Cost Engineers., eds. Solutions manual to accompany Jelen's cost and optimization engineering, 3rd edition. McGraw-Hill, 1990.

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Arrascue-Pastor, Julius. Buffer solution dilution and filtration process optimization. National University, 2013.

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Torczon, Virginia. Using approximations to accelerate engineering design optimization. National Aeronautics and Space Administration, Langley Research Center, 1998.

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Saur, Genevieve. Wind electrolysis: Hydrogen cost optimization. National Renewable Energy Laboratory, 2011.

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

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Harris, Chris. Utility and welfare optimization: Theory and practice in electricity. Palgrave Macmillan, 2015.

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C, Young Katherine, and United States. National Aeronautics and Space Administration., eds. Automatic differentiation evaluated as a tool for rotorcraft design and optimization. National Aeronautics and Space Administration, 1995.

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G, Baier William, and Geological Survey (U.S.), eds. An optimization model for selecting training course locations, U.S. Geological Survey. U.S. Dept. of the Interior, U.S. Geological Survey, 1993.

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G, Baier William, and Geological Survey (U.S.), eds. An optimization model for selecting training course locations, U.S. Geological Survey. U.S. Dept. of the Interior, U.S. Geological Survey, 1993.

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Book chapters on the topic "Optimization of costs"

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Gil-Aluja, Jaime. "Changes, Abilities and Costs." In Applied Optimization. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4613-3329-6_27.

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Gil-Aluja, Jaime. "A Brief Reference to Costs." In Applied Optimization. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4613-3329-6_22.

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Buckley, James J. "Optimization: Without Revenue/Costs." In Fuzzy Probabilities and Fuzzy Sets for Web Planning. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-36426-9_13.

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Buckley, James J. "Optimization: With Revenue/Costs." In Fuzzy Probabilities and Fuzzy Sets for Web Planning. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-36426-9_14.

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Liu, Xiaoyi. "Optimization of Manufacturing Costs." In Cost Engineering Systems for Manufacturing Enterprises. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-5234-1_8.

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Ignatkin, I. Yu, N. A. Shevkun, A. S. Kononenko, V. Ryabchikova, and V. Panchenko. "Far North: Optimizing Heating Costs." In Intelligent Computing and Optimization. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-50327-6_5.

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Ficker, Annette M. C., Frits C. R. Spieksma, and Gerhard J. Woeginger. "Balanced Optimization with Vector Costs." In Approximation and Online Algorithms. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51741-4_8.

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Mansini, Renata, Wlodzimierz Ogryczak, and M. Grazia Speranza. "Portfolio Optimization and Transaction Costs." In Quantitative Financial Risk Management. John Wiley & Sons, Inc, 2015. http://dx.doi.org/10.1002/9781119080305.ch8.

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Mansini, Renata, Włodzimierz Ogryczak, and M. Grazia Speranza. "Portfolio Optimization with Transaction Costs." In EURO Advanced Tutorials on Operational Research. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18482-1_3.

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Sudhoff Santos, Julia. "Optimization with Ordinal Costs An Overview." In Lecture Notes in Operations Research. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-58405-3_71.

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Conference papers on the topic "Optimization of costs"

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Reznik, Yuriy A., and Guillem Cabrera. "On Multi-CDN Delivery Costs Optimization Problem." In 2024 International Symposium on Multimedia (ISM). IEEE, 2024. https://doi.org/10.1109/ism63611.2024.00035.

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Rostami, Mohammadreza, Hossein Moradian, and Solmaz S. Kia. "First-Order Dynamic Optimization for Streaming Convex Costs." In 2024 American Control Conference (ACC). IEEE, 2024. http://dx.doi.org/10.23919/acc60939.2024.10645050.

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Bhookya, Uday Chandra, Kunal Jethuri, Sanjeeva Rayudu Ravuru, Priyadarshi, and Maitreya Natu. "Addressing Spend Leakage and Optimization of Cloud Costs." In 2024 IEEE International Conference on Big Data (BigData). IEEE, 2024. https://doi.org/10.1109/bigdata62323.2024.10825120.

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Alomari, Mohammed F., Moamin A. Mahmoud, Niayesh Gharaei, Samer Mohammed Rasool, and Riyam A. Hasan. "Optimizing Cloud Storage Costs: Introducing the Pre-Evaluation-Based Cost Optimization (PECSCO) Mechanism." In 2024 4th International Conference of Science and Information Technology in Smart Administration (ICSINTESA). IEEE, 2024. http://dx.doi.org/10.1109/icsintesa62455.2024.10748165.

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Wang, Chaoliang, Chi Jiang, Huajiang Yan, and Chunguang Lu. "Optimization Scheduling Strategy for Microgrid Considering Carbon Emission Costs." In 2024 6th International Conference on Energy, Power and Grid (ICEPG). IEEE, 2024. https://doi.org/10.1109/icepg63230.2024.10775327.

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Tharammal, Rahul Raghavan, and Prashant Nitnaware. "Maximizing Efficiency in Smart Contract Execution Costs Techniques for Cost Optimization on Blockchain Networks." In 2024 International Conference on Integration of Emerging Technologies for the Digital World (ICIETDW). IEEE, 2024. https://doi.org/10.1109/icietdw61607.2024.10941370.

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Belgada, Khira, and Laila El Abbadi. "Minimizing Non-Quality Costs in Production: A Comprehensive Review of Quality Optimization Strategies." In 2024 10th International Conference on Optimization and Applications (ICOA). IEEE, 2024. http://dx.doi.org/10.1109/icoa62581.2024.10754273.

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Allen, L. F., and J. G. Svinos. "Rod Pumping Optimization Program Reduces Equipment Failures and Operating Costs." In CORROSION 1985. NACE International, 1985. https://doi.org/10.5006/c1985-85140.

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Abstract In 1975, an intensive program was initiated by Gulf Oil E&amp;P Central area to reduce rod and tubing failure rates in the fields of the northwest corner of Crane County, Texas. Chronologically the program steps were: 1) The replacement of rod strings experiencing three failures in three months. 2) The replacement of tubing strings experiencing two failures in three months. 3) The use of inspected, classified and plastic coated new or used grade "C" rods. 4) The use of inspected, classified and internally plastic coated used or new tubing. 5) The exclusive use of high working stress r
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Borisut, Prapatsorn, Bianca Williams, Aroonsri Nuchitprasittichai, and Selen Cremaschi. "Design and Optimization of Methanol Production using PyBOUND." In Foundations of Computer-Aided Process Design. PSE Press, 2024. http://dx.doi.org/10.69997/sct.194568.

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In this paper, we study the design optimization of methanol production with the goal of minimizing methanol production cost. One challenge of methanol production via carbon dioxide (CO2) hydrogenation is the reduction of operating costs. The simulation of methanol production is implemented within the Aspen HYSYS simulator. The feeds are pure hydrogen and captured CO2. The process simulation involves a single reactor and incorporates recycling at a ratio of 0.995. The methanol production cost is determined using an economic analysis. The cost includes capital and operating costs, which are dete
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HENNI, Aissa, Boualem BOUKEZATA, Jaafar GABER, Khadidja HENNI, and Pascal LORENZ. "Optimization of Energy Costs Using Deep Reinforcement Learning in Smart Grids." In 2024 World Conference on Complex Systems (WCCS). IEEE, 2024. https://doi.org/10.1109/wccs62745.2024.10765521.

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Reports on the topic "Optimization of costs"

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Cai, Yongyang, Kenneth Judd, and Rong Xu. Numerical Solution of Dynamic Portfolio Optimization with Transaction Costs. National Bureau of Economic Research, 2013. http://dx.doi.org/10.3386/w18709.

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Kraynova, O. S., and A. V. Pelushenko. Management costs of trade enterprises: problems and ways of their optimization. Ljournal, 2016. http://dx.doi.org/10.18411/kray-2016-artc-00061.

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Cai, Yongxia, Christopher M. Wade, Justin S. Baker, et al. Implications of alternative land conversion cost specifications on projected afforestation potential in the United States. RTI Press, 2018. http://dx.doi.org/10.3768/rtipress.2018.op.0057.1811.

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The Forestry and Agriculture Sector Optimization Model with Greenhouse Gases (FASOMGHG) has historically relied on regional average costs of land conversion to simulate land use change across cropland, pasture, rangeland, and forestry. This assumption limits the accuracy of the land conversion estimates by not recognizing spatial heterogeneity in land quality and conversion costs. Using data from Nielsen et al. (2014), we obtained the afforestation cost per county, then estimated nonparametric regional marginal cost functions for land converting land to forestry. These afforestation costs were
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Feuillette, Jérémie, Kimmo Soramäki, and Will Towning. Modernizing Intraday Liquidity Optimization for Commercial Banks. FNA, 2023. http://dx.doi.org/10.69701/bdzh8309.

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Commercial banks are facing a period of exceptionally difficult funding conditions amidst a challenging economic environment. To address this, banks need to optimize their liquidity flows and usage. But existing liquidity optimisation and management methods fall short of materially reducing liquidity costs and can generate large operational risks. This paper describes how advanced analytics and algorithms can be used to optimize liquidity flows and usage in a real-time environment through payment resequencing. This approach can enable banks to significantly and consistently reduce liquidity us
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Malarín, Hector R., and William J. Vaughan. An Approach to the Economic Analysis of Solid Waste Disposal Alternatives. Inter-American Development Bank, 1997. http://dx.doi.org/10.18235/0008803.

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In this best practice paper a mixed integer optimization approach to the selection of sanitary landfill site sizes and locations in a regional context is explained and illustrated using stylized cost and location information adapted from a real case study. After reviewing the basics of the heuristic approach to solid waste disposal site selection, the optimization model is laid out and solved in the case study context, initially in terms of financial costs. In a subsequent section, a way of incorporating the relative environmental damages of alternative locations into the model is suggested, a
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Iyer, Ananth V., Samuel Labi, Steven R. Dunlop, et al. 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
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Andreev, Valentin Andreevich. Models for determining optimal routes for transportation of municipal solid waste and distribution of their volumes. Institute for Regional Economic Studies Russian Academy of Science, 2023. http://dx.doi.org/10.52897/tms-2023-11-09.

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In the proposed work, an optimization model of transportation of municipal solid waste (MSW) of the urban agglomeration carried out by the waste processing and disposal complex is formulated and investigated. The complex includes waste processing plants, landfills and transport enterprises. Optimization here means minimizing the costs (fuel, time, finance) for the transportation of MSW from their accumulation sites (garbage sites) to processing points (waste processing plants) and landfills (landfills).
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Dumas, Nathalie, Flourentzou Flourentzos, Julien BOUTILLIER, Bernard Paule, and Tristan de KERCHOVE d’EXAERDE. Integration of smart building technologies costs and CO2 emissions within the framework of the new EPIQR-web application. Department of the Built Environment, 2023. http://dx.doi.org/10.54337/aau541616188.

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The EPIQR method was developed between 1996 and 1998 within the framework of the European research programme JOULE II and with the support of the Swiss Federal Office for Education and Science. In its first versions, the EPIQR software and EPIQR+ that succeeded it, were desktop tools, allowing a precise diagnosis of the state of deterioration of an existing building and the elaboration of renovation scenarios including the different costs of the necessary works. However, deep refurbishment rate is still low. Climatic emergency state declared by most of the Swiss Cantons makes it necessary to s
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Darling, Arthur H., and William J. Vaughan. The Optimal Sample Size for Contingent Valuation Surveys: Applications to Project Analysis. Inter-American Development Bank, 2000. http://dx.doi.org/10.18235/0008824.

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One of the first questions that has to be answered in the survey design process is "How many subjects should be interviewed?" The answer can have significant implications for the cost of project preparation, since in Latin America and the Caribbean costs per interview can range from US$20 to US$100. Traditionally, the sample size question has been answered in an unsatisfactory way by either dividing an exogenously fixed survey budget by the cost per interview or by employing some variant of a standard statistical tolerance interval formula. The answer is not to be found in the environmental ec
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Soummane, Salaheddine, Amro Elshurafa, Hatem Al Atawi, and Frank Felder. Cross-seasonal Fuel Savings from Load Shifting in the Saudi Industrial Sector. King Abdullah Petroleum Studies and Research Center, 2022. http://dx.doi.org/10.30573/ks--2022-dp01.

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Load shifting, that is, moving demand from peak to off-peak hours, is an important type of demand response. It can reduce the overall operating costs of a power system and improve the reliability of the power grid. This study estimates the financial implications of load shifting in the Saudi industrial sector. We use a national Saudi power system dispatch optimization model to simulate three scenarios. With this model, we quantify the impacts of shifting industrial loads from the peak summer to the off-peak winter months, keeping industrial electricity tariffs unchanged.
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