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Articles de revues sur le sujet « Cost optimal analysis »

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Auteur : Grafiati
Publié le 14 mars 2023

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1

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

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Fitri, Ihza Rizkia, Farida Hanum, Ali Kusnanto et Toni Bakhtiar. « Optimal Pest Control Strategies with Cost-effectiveness Analysis ». Scientific World Journal 2021 (21 avril 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 et Simone Zanoni. « Life Cycle Cost Analysis for BESS Optimal Sizing ». Energy Procedia 113 (mai 2017) : 127–34. http://dx.doi.org/10.1016/j.egypro.2017.04.034.

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

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

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

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

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

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

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

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Das, Ananya, Shweta Nagendra et Amitabh Chak. « Optimal Management of Pancreatic Cysts - A Cost-Effectiveness Analysis ». Gastrointestinal Endoscopy 63, no 5 (avril 2006) : AB273. http://dx.doi.org/10.1016/j.gie.2006.03.695.

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Osman, Shaibu, Dominic Otoo et Oluwole Daniel Makinde. « Modeling Anthrax with Optimal Control and Cost Effectiveness Analysis ». Applied Mathematics 11, no 03 (2020) : 255–75. http://dx.doi.org/10.4236/am.2020.113020.

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Rodrigues, Paula, Cristiana J. Silva et Delfim F. M. Torres. « Cost-Effectiveness Analysis of Optimal Control Measures for Tuberculosis ». Bulletin of Mathematical Biology 76, no 10 (23 septembre 2014) : 2627–45. http://dx.doi.org/10.1007/s11538-014-0028-6.

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Pang, Liuyong, Zhong Zhao et Xinyu Song. « Cost-effectiveness analysis of optimal strategy for tumor treatment ». Chaos, Solitons & ; Fractals 87 (juin 2016) : 293–301. http://dx.doi.org/10.1016/j.chaos.2016.03.032.

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Osipov, Vladimir. « Control and cost analysis in the process of management decision making for the commodities assortment ». Problems and Perspectives in Management 16, no 2 (24 mai 2018) : 209–19. http://dx.doi.org/10.21511/ppm.16(2).2018.19.

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The relevance of this work is determined by the further development of the management system and its information support that improve the economic entity’s activity and increase the competitiveness. The goal of this research is to develop a method for the most optimal commodities assortment formation, which makes it possible to increase the efficiency of the enterprise in the existing production conditions. Previously applied methods were oriented only to one of the methods of determining the commodities assortment, which prevented managers from choosing the most optimal option. The method of the optimal commodities assortment formation was proposed for the first time in this article while comparing the methods of its determination on products profitability and the limiting factor. The object of research is resource consumption in relation to certain commodities assortment manufactured by the enterprise operating in the measuring devices production sector. The article is focused on the methods of the integrated management cost analysis aimed at implementing the concept of the most complete and timely information support for the resource consumption control and regulation. General scientific and special research methods are used for the purpose of its implementation. The use of special methods of economic analysis made it possible to develop the economic model of costs estimation in the process of the most optimal commodities assortment formation.Conclusions and results of the research show that the efficiency of the industrial enterprise largely depends on rational resource consumption. The successful solution of this task largely depends on the correct commodities assortment formation. In view of this, methods for determining the commodities assortment based on the analysis of its profitability and assessing the impact of the limiting factor, taking into account the full load capacity, are proposed to be used.
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Mengistu, Ashenafi Kelemu, et Peter J. Witbooi. « Tuberculosis in Ethiopia : Optimal Intervention Strategies and Cost-Effectiveness Analysis ». Axioms 11, no 7 (19 juillet 2022) : 343. http://dx.doi.org/10.3390/axioms11070343.

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This paper searches for optimal strategies for the minimization of the number of high-risk latent and active tuberculosis (TB) infectious individuals using real data from Ethiopia. Optimal control theory is harnessed for investigation and analysis of the optimal combination of interventions for controlling the transmission of TB using distancing, case finding, and case holding as controls. We calculate and compare the incremental cost-effectiveness ratio (ICER) for each of the strategies to determine the most effective combination of interventions for curbing the spread of the disease. Our findings suggest that, for optimal cost-effective management of the TB disease, the government of Ethiopia must focus more on prevention strategies such as isolation of infectious people, early TB patient detection, treatment, and educational programs. The optimal strategy is quantified through simulation.
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Goreac, Dan, et Oana-Silvia Serea. « Mayer and optimal stopping stochastic control problems with discontinuous cost ». Journal of Mathematical Analysis and Applications 380, no 1 (août 2011) : 327–42. http://dx.doi.org/10.1016/j.jmaa.2011.02.039.

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Berhe, Hailay Weldegiorgis, Oluwole Daniel Makinde et David Mwangi Theuri. « Optimal Control and Cost-Effectiveness Analysis for Dysentery Epidemic Model ». Applied Mathematics & ; Information Sciences 12, no 6 (1 novembre 2018) : 1183–95. http://dx.doi.org/10.18576/amis/120613.

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Rowthorn, Robert, et Jan Maciejowski. « A cost–benefit analysis of the COVID-19 disease ». Oxford Review of Economic Policy 36, Supplement_1 (2020) : S38—S55. http://dx.doi.org/10.1093/oxrep/graa030.

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Abstract The British government has been debating how to escape from the lockdown without provoking a resurgence of the COVID-19 disease. There is a growing recognition of the damage the lockdown has caused to economic and social life. This paper presents a simple cost–benefit analysis inspired by optimal control theory and incorporating the SIR model of disease propagation. It also reports simulations informed by the theoretical discussion. The optimal path for government intervention is computed under a variety of conditions. These include a cap on the permitted level of infection to avoid overload of the health system, and the introduction of a test and trace system. We quantify the benefits of early intervention to control the disease. We also examine how the government’s valuation of life influences the optimal path. A 10-week lockdown is only optimal if the value of life for COVID-19 victims exceeds £10m. The study is based on a standard but simple epidemiological model, and should therefore be regarded as presenting a methodological framework rather than giving policy prescriptions.
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Meherrem, Shahlar, et Rufan Akbarov. « Optimal Control Problem for Switched System with the Nonsmooth Cost Functional ». Abstract and Applied Analysis 2013 (2013) : 1–6. http://dx.doi.org/10.1155/2013/681862.

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We examine the relationships between lower exhausters, quasidifferentiability (in the Demyanov and Rubinov sense), and optimal control for switching systems. Firstly, we get necessary optimality condition for the optimal control problem for switching system in terms of lower exhausters. Then, by using relationships between lower exhausters and quasidifferentiability, we obtain necessary optimality condition in the case that the minimization functional satisfies quasidifferentiability condition.
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Zheng, Yan, Di Su, Xu Wang et Yu Cai. « Life Cycle Cost Analysis for Substation ». Applied Mechanics and Materials 638-640 (septembre 2014) : 2370–76. http://dx.doi.org/10.4028/www.scientific.net/amm.638-640.2370.

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Life Cycle Cost of Construction engineering project management is a combination of modern management theory—system theory, cybernetics and information theory combined with the construction project. In this paper, a model of substation life cycle cost is built comprehensively, by making a model for the cost estimating of substation design and construction cost. Meanwhile, the operation loss, operation maintenance cost are analyzed and calculated, the estimate of the retirement costs is carried on. On these basics, analyzes the relationship between the cost, then the numerical example is given ultimately. Eventually, optimal reliability and economical efficiency is achieved.
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Wang, Dapeng. « Optimal quotation and institutional cost model in market maker quotation transaction ». Journal of Interdisciplinary Mathematics 21, no 4 (19 mai 2018) : 963–73. http://dx.doi.org/10.1080/09720502.2018.1475072.

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Congedo, Paolo, Delia D’Agostino, Cristina Baglivo, Giuliano Tornese et Ilaria Zacà. « Efficient Solutions and Cost-Optimal Analysis for Existing School Buildings ». Energies 9, no 10 (21 octobre 2016) : 851. http://dx.doi.org/10.3390/en9100851.

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Tessema, Fikru Shiferaw, Purnachandra Rao Koya et Boka Kumsa Bole. « Optimal Control and Cost-Effectiveness Analysis of Cholera with Vaccination ». Journal of Mathematics 2022 (1 septembre 2022) : 1–16. http://dx.doi.org/10.1155/2022/1705277.

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Cholera has been a major global public health problem that is caused due to unsafe water and improper sanitation. These causes have been mainly occurring among the developing country. In this paper, a deterministic model for cholera is formulated with the inclusion of drug resistance compartment. Also, vaccination of newly born babies is considered so as to study its effect on the control. The total population in the present model is divided into five compartments, namely, susceptible, vaccinated newborns, infected, drug resistance, and recovered. The model is mathematically formulated resulting in a system of five ordinary differential equations. In order to verify that the model is valid, it is shown that the solution of the system of equations exists and is both positive and bounded. Fundamental properties of the model such as the basic reproduction number are calculated by employing the method of next-generation matrix. Also, the equilibrium points are identified and their stability analysis is checked. Further in this work, Pontryagin’s maximum principle is employed so as to determine the optimal control strategies of the epidemic. The simulation study has revealed that the application of prevention methods will play a significant role in controlling or minimizing the spread of the disease. From the simulated graphs, we observed that an increment in vaccinated population leads to the reduction of the number of infectious population. Moreover, it is shown that if all the intervention strategies are employed together, then the disease will get eradicated within a short span of time. Also, the analysis of cost-effectiveness is conducted. Finally, the simulated values of optimal controls show that the combination of prevention, education, and treatment of individuals with drug resistance is the most efficient and less costly so as to eradicate disease from the community.
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Chaturvedi, Nitin Dutt. « Cost-optimal Pinch Analysis for sizing of hybrid power systems ». Cleaner Engineering and Technology 3 (juillet 2021) : 100094. http://dx.doi.org/10.1016/j.clet.2021.100094.

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Romero-Leiton, Jhoana Patricia, Muhammad Ozair et Takasar Hussaing. « Optimal Control Problem for Cholera Disease and Cost-Effectiveness Analysis ». Journal of Mathematical and Fundamental Sciences 53, no 2 (8 septembre 2021) : 200–2017. http://dx.doi.org/10.5614/j.math.fund.sci.2021.53.2.3.

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Cholera is a disease that continues to be a threat to public health globally and is an indicator of inequity and lack of social development in countries. For this reason, strategies for its control need to be investigated. In this work, an optimal control problem related to cholera disease was formulated by introducing personal protection, drug treatment and water sanitation as control strategies. First, the existence and characterization of controls to minimize the performance index or cost function was proved by using classic control theory. Then, the theoretical results were validated with numerical experiments by using data reported in the literature. Finally, the effectiveness and efficiency of the proposed controls were determined through a cost-effectiveness analysis. The results showed that the use of the three controls simultaneously is the cheapest and most effective strategy to control the disease.
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Asamoah, Joshua Kiddy K., Eric Okyere, Afeez Abidemi, Stephen E. Moore, Gui-Quan Sun, Zhen Jin, Edward Acheampong et Joseph Frank Gordon. « Optimal control and comprehensive cost-effectiveness analysis for COVID-19 ». Results in Physics 33 (février 2022) : 105177. http://dx.doi.org/10.1016/j.rinp.2022.105177.

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Otieno, Gabriel, Joseph Koske et John Mutiso. « Cost Effectiveness Analysis of Optimal Malaria Control Strategies in Kenya ». Mathematics 4, no 1 (9 mars 2016) : 14. http://dx.doi.org/10.3390/math4010014.

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Godinho, Pedro, et Joana Dias. « Cost-Benefit Analysis and the Optimal Timing of Road Infrastructures ». Journal of Infrastructure Systems 18, no 4 (décembre 2012) : 261–69. http://dx.doi.org/10.1061/(asce)is.1943-555x.0000105.

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Levy, Amnon. « Optimal enlistment age : A cost–benefit analysis and some simulations ». European Journal of Operational Research 180, no 1 (juillet 2007) : 418–25. http://dx.doi.org/10.1016/j.ejor.2006.01.047.

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Higuchi, S., et M. Macke. « Cost-benefit analysis for the optimal rehabilitation of deteriorating structures ». Structural Safety 30, no 4 (juillet 2008) : 291–306. http://dx.doi.org/10.1016/j.strusafe.2007.05.001.

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Wang, Zilong, et Hao Wang. « Life-cycle cost analysis of optimal timing of pavement preservation ». Frontiers of Structural and Civil Engineering 11, no 1 (mars 2017) : 17–26. http://dx.doi.org/10.1007/s11709-016-0369-3.

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NORDMANN, LARS, et HOANG PHAM. « PERFORMABILITY AND COST ANALYSIS OF DEGRADABLE SYSTEMS ». International Journal of Reliability, Quality and Safety Engineering 02, no 03 (septembre 1995) : 291–98. http://dx.doi.org/10.1142/s0218539395000216.

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Many models and methods have been proposed in the literature to evaluate the reliability of fault-tolerant systems. In this paper, we study systems with one degradation mode. We introduce a static model and present efficient algorithms for the evaluation of the system performance and cost. For the special case of a system consisting of identical units we derive an efficient procedure for the determination of an optimal system design with respect to a minimum system cost.
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Layfield, Lester J., Richard D. Hammer, Sandra K. White, Larissa V. Furtado et Robert L. Schmidt. « Molecular Testing Strategies for Pulmonary Adenocarcinoma : An Optimal Approach With Cost Analysis ». Archives of Pathology & ; Laboratory Medicine 143, no 5 (21 décembre 2018) : 628–33. http://dx.doi.org/10.5858/arpa.2018-0218-oa.

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Context.— Molecular analysis of lung adenocarcinoma for therapeutically important genes is standard of practice, with multiple professional organizations recommending testing of all adenocarcinomas for mutations in EGFR, ALK, and ROS1. Some organizations recommend analyzing these genes in association with a panel. Few data exist as to optimal testing method or optimal sequence of testing from a cost perspective. Objective.— To determine which order of gene testing was least costly and whether sequential, small panel, or next-generation sequencing (NGS) was cheapest. Design.— Recent recommendations propose a set of essential molecular tests (EGFR, ALK, and ROS1) and an optional set of molecular tests that may be useful for selection of clinical trials. We compared the costs of different testing sequencing strategies for both the 3 essential genes and for 5 optimal genes. Testing costs were determined by a survey of prices from large laboratories. The strategy most frequently rated as the lowest cost strategy was designated the optimal testing strategy. Results.— Sequential testing of the essential genes in the order EGFR-ROS1-ALK was optimal from a cost perspective. The expected cost of sequential testing was $2227 (95% CI, $1733–$2794). The cost of NGS was $2500. The expected cost per positive result was $11,362 using this strategy. Conclusions.— Molecular testing of lung adenocarcinomas for the set of 3 essential genes and 5 optional genes can be performed by a variety of methods and in a variety of sequences. From a cost perspective, sequential testing in the order EGFR, ROS1, then ALK is optimal. NGS would be competitive if the price was less than $2200. NGS is optimal if testing for the 3 essential genes will be followed by testing for the 5 optional genes. NGS testing is optimal if the clinician plans to test both essential and optional genes.
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Andriyanova, Elina, et Shibing Chen. « Boundary C1,α regularity of potential functions in optimal transportation with quadratic cost ». Analysis & ; PDE 9, no 6 (3 octobre 2016) : 1483–96. http://dx.doi.org/10.2140/apde.2016.9.1483.

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Situmeang, Chandra, et MUHAMMAD RIDHA HABIBI. « Governance Based on Cost Analysis (Unit Cost Analysis for Vocational Schools) ». Journal of Arts and Humanities 7, no 2 (27 février 2018) : 33. http://dx.doi.org/10.18533/journal.v7i2.1332.

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<p class="Abstract">This study aims to calculate unit cost to produce one middle-level vocational school graduate (in Indonesian terms known as "Sekolah Menengah Kejuruan” abbreviated as SMK). The calculation is required because operational grant funds (in Indonesian terms known as antuan Operasional Sekolah abbreviated as BOS) are distributed so far to the same extent in all areas of Indonesia and for all majors. This is most likely less than optimal because in fact there are very basic characteristics differences including; Economic capacity of each region, the cost standard for each region, and the type of department in the school. Based on this, the researcher assumed that cost analysis should be done by considering these things as a basis to provide BOS funds tailored to specific characteristics. The data to be analyzed in this research is North Sumatra province data. This research is conducted in two stages, which in this report only completed the first phase which is a survey in North Sumatra region. Stages of survey to obtain data which then analyzed with related data such as community income, learning outcomes through the value of national examinations, tuition fee, and conditions of learning facilities. The research is funded by the ministries of research, technology and higher education through competing grant schemes for fiscal year 2017 and 2018. The result of correlation analysis between the variables shows that there is a strong relationship between the average income with average tuition paid by the community and between average tuition paid by the community with Quality Level of Education Facilities. The result of correlation analysis also shows a moderate relationship between the average tuition with learning outcomes measured through average national exam and relationship between quality level of education facilities with average national exam. While the relationship between average income with average national exam does not have a strong relationship. The result of correlation analysis concludes that further research is required to calculate unit cost. The results of these calculations can be used as a recommendation for policy makers to evaluate the funding system boss funds to pay attention to the characteristics as mentioned above.</p>
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LIN, CHI-JEN, et UE-PYNG WEN. « SENSITIVITY ANALYSIS OF OBJECTIVE FUNCTION COEFFICIENTS OF THE ASSIGNMENT PROBLEM ». Asia-Pacific Journal of Operational Research 24, no 02 (avril 2007) : 203–21. http://dx.doi.org/10.1142/s0217595907001115.

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Information of sensitivity analysis, in a linear programming problem, is usually more important than the optimal solution itself. However, traditional sensitivity analysis, which perturbs exactly one coefficient and then determines the range preserving the optimality of the current optimal base, is impractical for the assignment problem. An optimal basic solution of the assignment problem is inherently degenerate, so it may be that the optimal base has changed but the optimal assignment remains unchanged. Furthermore, elements of a column (or row) in a cost matrix of assignment problem are usually closely related and change simultaneously, not uniquely. This paper focuses on two kinds of sensitivity analyses for the assignment problem. One is to determine the sensitivity range, over which the current optimal assignment or all the optimal assignments remain optimal, while perturbing the elements of one column (or row) in a cost matrix of the assignment problem simultaneously but dependently. The other is to perturb elements of one column (or row) in a cost matrix of the assignment problem simultaneously but independently. Numerical illustrations are presented to demonstrate that the approaches are useful in practice.
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Henze, Gregor P., Thoi H. Le, Anthony R. Florita et Clemens Felsmann. « Sensitivity Analysis of Optimal Building Thermal Mass Control ». Journal of Solar Energy Engineering 129, no 4 (19 mai 2006) : 473–85. http://dx.doi.org/10.1115/1.2770755.

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In order to avoid high utility demand charges from cooling during the summer and to level a building’s electrical demand profile, precooling of the building’s massive structure can be applied to shift cooling-related thermal loads in response to utility pricing signals. Several previous simulation and experimental studies have shown that proper precooling can attain considerable reduction of operating cost in buildings. This paper systematically evaluates the merits of the passive building thermal capacitance to minimize energy cost for a design day using optimal control. The evaluation is conducted by means of a sensitivity analysis utilizing a dynamic building energy simulation program coupled to a popular technical computing environment. The optimal controller predicts the required extent of precooling (zone temperature set-point depression), depending on the utility rate structure, occupancy and on-peak period duration and onset, internal gains, building mass, occupancy period temperature set-point range, and weather as characterized by diurnal temperature and relative humidity swings. In addition to quantifying the building response, energy consumption, and utility cost, this paper extracts the dominant features of the optimal precooling strategies for each of the investigated cases so that guidelines for near-optimal building thermal mass savings may be developed in the future.
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Zhao, Mengke, Chi Zhang, Haixing Liu, Guangtao Fu et Yuntao Wang. « Optimal sensor placement for pipe burst detection in water distribution systems using cost–benefit analysis ». Journal of Hydroinformatics 22, no 3 (16 mars 2020) : 606–18. http://dx.doi.org/10.2166/hydro.2020.158.

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Abstract Fast detection of pipe burst in water distribution systems (WDSs) could improve customer satisfaction, increase the profits of water supply and more importantly reduce the loss of water resources. Therefore, sensor placement for pipe burst detection in WDSs has been a crucial issue for researchers and practitioners. This paper presents an economic evaluation indicator named as net cost based on cost–benefit analysis to solve the optimal pressure sensor placement problem. The net cost is defined as the sum of the normalized optimal detection uncovering rate and investment cost of sensors. The optimal detection uncovering rate and the optimal set of sensor locations are determined through a single-objective optimization model that maximizes the detection coverage rate under a fixed number of sensors. The optimal number of sensors is then determined by analyzing the relationship between the net cost and the number of sensors. The proposed method is demonstrated to be effective in determining both the optimal number of sensors and their locations on a benchmark network Net3. Moreover, the sensor accuracy and pipe burst flow magnitude are shown to be key uncertainties in determining the optimal number of sensors.
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Diao, Hai Fei, Jing Cai, Yu Fu, Hai Bin Lin et Xiang Zhang. « Maintenance Cost Optimal Model for Failure Dependence ». Applied Mechanics and Materials 401-403 (septembre 2013) : 2345–48. http://dx.doi.org/10.4028/www.scientific.net/amm.401-403.2345.

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With the development of Condition-Based Maintenance, there is an urgent need for failure dependence of redundant components in parallel system. In this paper, Markov maintenance cost decision analysis based on failure dependence of components was put forward, moreover, maintenance cost optimal model of parallel system with cost rate was established, meanwhile, the minimum cost rate as well as corresponding optimal detection interval was obtained. Finally, failure dependence and dependent failure rate to parallel system maintenance cost optimal model were studied and realized to prove this theory.
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Benamou, Jean-David, Guillaume Carlier et Roméo Hatchi. « A numerical solution to Monge’s problem with a Finsler distance as cost ». ESAIM : Mathematical Modelling and Numerical Analysis 52, no 6 (novembre 2018) : 2133–48. http://dx.doi.org/10.1051/m2an/2016077.

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Monge’s problem with a Finsler cost is intimately related to an optimal ow problem. Discretization of this problem and its dual leads to a well-posed finite-dimensional saddle-point problem which can be solved numerically relatively easily by an augmented Lagrangian approach in the same spirit as the Benamou–Brenier method for the optimal transport problem with quadratic cost. Numerical results validate the method. We also emphasize that the algorithm only requires elementary operations and in particular never involves evaluation of the Finsler distance or of geodesics.
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Okolo, Patrick, et Onoja Abu. « ON OPTIMAL CONTROL AND COST-EFFECTIVENESS ANALYSIS FOR TYPHOID FEVER MODEL ». FUDMA JOURNAL OF SCIENCES 4, no 3 (29 septembre 2020) : 437–45. http://dx.doi.org/10.33003/fjs-2020-0403-258.

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Abstract Typhoid fever is a disease of a major concern in the developing world because it adversely affects on health and finance of a large chunk of people in this part of the world. This paper is aim to develop an extend and improve the optimal control model of typhoid transmission dynamics that can select the best cost-effective strategy for some interventions. Thus, an optimal control model for typhoid, incorporating control functions representing measures of personal hygiene and sanitation, diagnosis and treatment, and vaccination, was formulated. The corresponding optimality system was characterized via the Pontryagin’s maximum principle. The optimality system was numerically simulated for all possible strategies using Runge-Kutta method of order four. For cost-effectiveness analysis, the method of incremental cost-effectiveness ratio (ICER) was employed. The results show that the model is able to select the most cost-effective strategy for any given set of parameter values and initial conditions. Key words: Optimal control, Pontryagin’s maximum principle, cost-effectiveness
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Qin, Zhaoqiong. « Analysis of Light Rail Access to Airports for the Effective Ground Transportation ». International Journal of Information Systems and Supply Chain Management 5, no 2 (avril 2012) : 82–88. http://dx.doi.org/10.4018/jisscm.2012040105.

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This paper discusses the attractiveness the cost-effectiveness of the light rail service connecting the airport and the main destinations in a city compared with other modes of ground transportation. A mathematical model is developed and the optimal frequency of light rail service is decided based on the minimization of the total cost including waiting time cost of travelers at the airport and operating cost of the light rail. Sensitivity analysis is made to show the effect of such parameters as passenger flow, unit time cost, unit operating time cost and etc. on the optimal frequency of the light rail service to provide the convenient, cost-effectiveness, and advanced accessible ground transportation service at the airport.
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Lesesvre, Didier, Paul Pegon et Filippo Santambrogio. « Optimal Transportation with an Oscillation-Type Cost : The One-Dimensional Case ». Set-Valued and Variational Analysis 21, no 3 (8 février 2013) : 541–56. http://dx.doi.org/10.1007/s11228-013-0229-4.

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Meisya, Cindy, Nur Fajriah Fajriah et Santika Sari. « WORKLOAD ANALYSIS TO OPTIMIZE LABOR OF TOFU FACTORY X WITH WORK LOAD ANALYSIS AND WORKFORCE ANALYSIS METHODS ». Journal of Industrial Engineering Management 7, no 2 (13 août 2022) : 101–7. http://dx.doi.org/10.33536/jiem.v7i2.941.

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Tofu factory X is one of the industries in the food sector. This factory processing soybeans into tofu. Tofu factory X is one of the tofu factories located in Depok, West Java. The problems that occur in this factory are the working hours that exceed the normal limit and do not achieve the optimal productivity levels due to the factory's inability to fulfill all demands, for this reason this research aims to calculate the workload of each worker in order to know the optimal number of workers according to the workload with Work Load Analysis and Workforce Analysis method, after that, a cost analysis is carried out to assist decision making. Based on the results of the analysis, it is found that there are 4 workers who have a workload that exceeds the normal limit, there are operator 1 with 124%, operator 4 with 116%, operator 5 with 112%, and operator 7 with 111%. The calculation of the optimal workforce using the Workforce Analysis method shows that the workers of the tofu factory X are advised to add 4 people to each work station with excessive workloads. Based on the cost analysis, the alternative with the lowest cost was chosen by adding overtime hours with details of the costs that came out per two months amounting to RP.5.271.676.3
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Pommerening, Florian, Gabriele Röger, Malte Helmert et Blai Bonet. « LP-Based Heuristics for Cost-Optimal Planning ». Proceedings of the International Conference on Automated Planning and Scheduling 24 (11 mai 2014) : 226–34. http://dx.doi.org/10.1609/icaps.v24i1.13621.

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Many heuristics for cost-optimal planning are based on linear programming. We cover several interesting heuristics of this type by a common framework that fixes the objective function of the linear program. Within the framework, constraints from different heuristics can be combined in one heuristic estimate which dominates the maximum of the component heuristics. Different heuristics of the framework can be compared on the basis of their constraints. With this new method of analysis, we show dominance of the recent LP-based state-equation heuristic over optimal cost partitioning on single-variable abstractions. We also show that the previously suggested extension of the state-equation heuristic to exploit safe variables cannot lead to an improved heuristic estimate. We experimentally evaluate the potential of the proposed framework on an extensive suite of benchmark tasks.
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Ciaramella, Gabriele, et Alfio Borzì. « Quantum Optimal Control Problems with a Sparsity Cost Functional ». Numerical Functional Analysis and Optimization 37, no 8 (9 mai 2016) : 938–65. http://dx.doi.org/10.1080/01630563.2016.1184166.

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Korkulu, Sezen, et Krisztina Bona. « Flexibility analysis of inventory cost model with ergonomics ». International Journal of Engineering and Management Sciences 4, no 1 (3 mars 2019) : 166–73. http://dx.doi.org/10.21791/ijems.2019.1.21.

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The economic and environmental sustainability issues in supply chain management have integrated by many researchers in the past decades. The ergonomics as a social aspect of sustainability had received a little attention by researchers. Therefore, the aim of the paper is analyzing the flexibility of developed inventory cost model with relaxation allowance and endurance time as a social aspect of sustainability. The effects of distance, unit weight of item and total number of items on relaxation allowance, the total cost of logistics operation and the EOQ model were investigated. The analyzed mathematical model was a single operator-single material model which covered transportation of fixed amount of raw materials from storage plant to production plant by manual material handling with simple cart and picking, storing, pushing and pushing back with empty cart for manual handling of the products. The different parameter values applied for analysis such as total amount of handled items (Q) changes between 500 pcs to 2750 pcs, unit weight of item (w) changes between 0.1 kg to 1 kg, distance of movement by manual material handling for picking and storing motions (d1) changes between 2 m to 3 m and the distance between the storing equipment and the supermarket of the production line for pushing motion (d2) changes between 15 m to 20 m. The results of the analysis indicated that the longer the distance of movement for all motions leads to decrease in savings of the model compared to EOQ model. The increase in unit weight of item is increase the savings obtained from application of our model and decrease the optimal lot size. There was no specific change on savings or optimal lot size as the total amount of handled item is increase. The compared results indicated that an increase in d1 and d2 lead to an increase in optimal lot size and increase in total cost of the model. Consequently, the analysis has shown that a decrease in lot size would be the better way to improve both ergonomic conditions and total cost of production in any different parameter values. Finally, the analysis of the inventory model with ergonomics were proved that this model is suitable for different industrial practices.
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Ran, Bin, Kwun Yee Kenny Lee et Haikun Dong. « Cost-Benefit Analysis on Deployment of Automated Highway Systems ». Transportation Research Record : Journal of the Transportation Research Board 1588, no 1 (janvier 1997) : 137–44. http://dx.doi.org/10.3141/1588-17.

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The optimal ranges of traffic flow and capacity will be determined for selected scenarios, in which different proportions of automated and conventional traffic will operate simultaneously in an automated highway system (AHS). It is found that there will be a substantial increase in the net benefit and the traffic flow and capacity ranges when there is a higher proportion of AHS traffic. The optimal range of capacity refers to the maximum range of traffic volumes, for which there will be some net benefit, which is the difference between the total cost and the total benefit for each flow. The total cost represents the production and operating costs of the infrastructure and the expenditure borne by the user, whereas the total benefit refers to the time saving to the user. It is concluded that more AHS vehicles should be produced in order to achieve economic efficiency, improved traffic capacity, and safety in travel.
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Dashtbali, Mohammadali. « Optimal strategies for controlling the outbreak of COVID-19 : Reducing its cost and duration ». Nonautonomous Dynamical Systems 9, no 1 (1 janvier 2022) : 316–29. http://dx.doi.org/10.1515/msds-2022-0161.

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Abstract Social distancing plays an essential role in controlling the spread of an epidemic, but changing the behavior of individuals regarding social distancing is costly. In order to make a rational decision, individuals must compare the cost of social distancing and the cost of infection. People are typically more likely to change their behavior if they are aware that the government is willing to incur additional cost to shorten the duration of an epidemic. I extend an optimal control problem of social distancing by integrating with the SIR model which describes the disease process. I present an optimal control problem to consider the behavior of susceptible individuals and the government in investment as control strategies and compute the equilibrium strategies under the potency of investment, using relative risk functions according to the investment that is made by susceptible individuals and the government. The equilibrium of this problem represents the optimal control strategies for minimizing the cost and duration of controlling an epidemic. Additionally, the model is evaluated using COVID-19 data from Egypt, Japan, Italy, Belgium, Nigeria, and Germany. The findings extracted from this model could be valuable in developing public health policy in the event of an epidemic.
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