Relevant bibliographies by topics / Analysis of capacity and demand

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Analysis of capacity and demand'

Author: Grafiati
Published: 4 June 2021
Last updated: 14 February 2022

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Journal articles on the topic "Analysis of capacity and demand"

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Liu, Zhixin. "Equilibrium analysis of capacity allocation with demand competition." Naval Research Logistics (NRL) 59, no. 3-4 (2012): 254–65. http://dx.doi.org/10.1002/nav.21486.

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Margellos, Kostas, and Shmuel Oren. "Capacity Controlled Demand Side Management: A Stochastic Pricing Analysis." IEEE Transactions on Power Systems 31, no. 1 (2016): 706–17. http://dx.doi.org/10.1109/tpwrs.2015.2406813.

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Luc, Dinh The, Mateo Rocca, and Melanie Papalia. "Equilibrium in a vector supply–demand network with capacity constraints." Applicable Analysis 90, no. 6 (2011): 1029–45. http://dx.doi.org/10.1080/00036811.2010.495338.

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Cannon, James N. "Determinants of “Sticky Costs”: An Analysis of Cost Behavior using United States Air Transportation Industry Data." Accounting Review 89, no. 5 (2014): 1645–72. http://dx.doi.org/10.2308/accr-50806.

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ABSTRACT This paper examines determinants of sticky cost behavior, costs that increase faster than they decrease as demand fluctuates. The majority of the literature infers that sticky costs arise because managers retain idle capacity as demand falls, but add capacity as demand grows. I use United States Air Transportation industry data to confirm that managers do retain idle capacity when demand falls. However, I also find that sticky costs arise because managers lower selling prices to utilize existing capacity when demand falls, but add capacity (rather than raise selling prices) when deman
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Gits, Ivanna, Mykola Zhuk, and Halyna Pivtorak. "Analysis of demand for public transport service in Lviv city." Transport technologies 2020, no. 2 (2020): 57–64. http://dx.doi.org/10.23939/tt2020.02.057.

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The demand for public transport on the example of Lviv city is analyzed in the paper. The aim of the trip, the duration of the trip, vehicle occupancy rate, walking approach to the stop, and the choice of public transport mode are determined as the main impact factors. The questioning of 1100 users of public transport is carried out. During the formation of transport strategy of public transport system functioning in large cities, it is necessary to consider such factors of functioning as optimal, from the view of transport provision, location of places of work and study, trips are up to 45 mi
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Fan, Lixian, Sijie Zhang, and Jingbo Yin. "Structural Analysis of Shipping Fleet Capacity." Journal of Advanced Transportation 2018 (September 12, 2018): 1–11. http://dx.doi.org/10.1155/2018/3854090.

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With the unprecedented growth of the shipping transportation demand, substantial vessels have been built and delivered to the market. This has led to oversupply after the financial crisis in 2008 because of the abrupt decrease in transportation demand. Notwithstanding the importance of shipping market studies in the investment decision-making, there are relatively few empirical studies modelling the impacts on the structural changes of the fleet supply variables. By considering new orders, current fleet size, and demolitions in ship capacity supply, this study develops a systematic model in bo
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Cohen, Yuval, and Shai Rozenes. "Demand Biorhythm Estimation for Setting Service Capacity." International Journal of Information Systems and Social Change 9, no. 4 (2018): 30–44. http://dx.doi.org/10.4018/ijissc.2018100103.

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This article is based on an analysis of empirical data on various service demand patterns such as electricity and water consumption, banks, hospitals, communications and others. The research findings show similar patterns of demand for various different services in different parts of the world. The patterns reflect the relevant population's level of activity. Daytime services have typical peak hours during a workday. This is nicely explained by what the authors call the ‘Demand Biorhythm.' Many daytime services experience a double hump demand, whereas in the US the service demand may also have
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Antelo, Manel, Francisco Reyes Santias, and Adela Martinez Calvo. "Bed capacity and surgical waiting lists: a simulation analysis." European Journal of Government and Economics 4, no. 2 (2015): 118. http://dx.doi.org/10.17979/ejge.2015.4.2.4310.

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Waiting time for elective surgery is a key problem in the current medical world. This paper aims to reproduce, by a Monte Carlo simulation model, the relationship between hospital capacity, inpatient activity, and surgery waiting list size in teaching hospitals. Inpatient activity is simulated by fitting a Normal distribution to real inpatient activity data, and the effect of the number of beds on inpatient activity is modelled with a linear regression model. Analysis is performed with data of the University Multi-Hospital Complex of Santiago de Compostela (Santiago de Compostela, Spain), by c
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Du, Muqing, Xiaowei Jiang, Lin Cheng, and Changjiang Zheng. "Robust Evaluation for Transportation Network Capacity under Demand Uncertainty." Journal of Advanced Transportation 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/9814909.

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As more and more cities in worldwide are facing the problems of traffic jam, governments have been concerned about how to design transportation networks with adequate capacity to accommodate travel demands. To evaluate the capacity of a transportation system, the prescribed origin and destination (O-D) matrix for existing travel demand has been noticed to have a significant effect on the results of network capacity models. However, the exact data of the existing O-D demand are usually hard to be obtained in practice. Considering the fluctuation of the real travel demand in transportation netwo
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Juričić, Biljana, Ružica Škurla Babić, and Ivana Francetić. "Zagreb Terminal Airspace Capacity Analysis." PROMET - Traffic&Transportation 23, no. 5 (2012): 367–75. http://dx.doi.org/10.7307/ptt.v23i5.155.

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The paper deals with the Zagreb Terminal Airspace capacity. The basic scenario has been modelled using the RAMSPlus simulator and capacity has been calculated by using the WMSE method which takes into account the peak-hour workload based on air traffic controllers’ tasks. The problem of traffic congestion has been analyzed and several case study scenarios have been simulated. The conducted simulations have demonstrated that in the conditions of increased traffic loads (traffic demand amounting to 6% annually) the working technology and the airspace organization of Zagreb Terminal Airspace will
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Dissertations / Theses on the topic "Analysis of capacity and demand"

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Dangl, Thomas. "Investment and capacity choice under uncertain demand." SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business, 1999. http://epub.wu.ac.at/1422/1/document.pdf.

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This paper extends the real options literature by discussing an investment problem, where a firm has to determine optimal investment timing and optimal capacity choice at the same time under conditions of irreversible investment expenditures and uncertainty in future demand. After the project is installed with a certain maximum capacity, this capacity is fixed as an upper boundary to the output and cannot be adjusted later on. It turns out that, in the framework of this once and for all decision, uncertainty in future demand leads to an increase in optimal installed capacity. But on the other
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Hocker, Guy A. (Guy Albert). "Airport demand and capacity modeling for flow management analysis." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/12303.

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Huang, Chih-yüan. "AN ANALYSIS OF CAPICITY EXPANSION PROBLEMS WITH BACKORDERS AND STOCHASTIC DEMAND." Thesis, The University of Arizona, 1987. http://hdl.handle.net/10150/292045.

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We show that, under certain conditions, instead of solving stochastic capacity expansion problems, we will obtain the same optimal solution by solving deterministic equivalent problems. Since only the first decision must be implemented immediately, knowing the optimal first decision is nearly as good as knowing the entire optimal sequences. Hence if we can solve the problem with 'big enough' finite horizon such that the first decision remains optimal for longer than this finite horizon, then we identify the 'big enough' finite horizon as forecast horizon. The forward dynamic programming recurs
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Gibbemeyer, Erin Landers. "Incorporating the Demand for and Capacity of Ecosystem Services in Analysis and Design." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1417798208.

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Hong, Seong-Jong. "Analysis of the Benefits of Resource Flexibility, Considering Different Flexibility Structures." Diss., Virginia Tech, 2004. http://hdl.handle.net/10919/11185.

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We study the benefits of resource flexibility, considering two different flexibility structures. First, we want to understand the impact of the firm's pricing strategy on its resource investment decision, considering a partially flexible resource. Secondly, we study the benefits of a flexible resource strategic approach, considering a resource flexibility structure that has not been studied in the previous literature. First, we study the capacity investment decision faced by a firm that offers two products/services and that is a price-setter for both products/services. The products offered by
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DeLeeuw, Jeffrey J. "Ideal system capacity and demand control for the Naval Telecommunications System: an economic analysis." Thesis, Monterey, California. Naval Postgraduate School, 1990. http://hdl.handle.net/10945/30689.

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Approved for public release, distribution is unlimited<br>The Naval Telecommunications System (NTS) capacity to handle message traffic is frequently exceeded by high levels of user demand often resulting in a failure to meet message speed of delivery standards. In order to resolve this problem, managers of the NTS must decide to either expand system capacity, control demand, or apply some combination of these two alternatives. The purpose of this thesis is to analyze this situation and make recommendations based upon the application of economic theory. The principles leading to the definition
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Niranjan, Suman. "A STUDY OF MULTI-ECHELON INVENTORY SYSTEMS WITH STOCHASTIC CAPACITY AND INTERMEDIATE PRODUCT DEMAND." Wright State University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=wright1217523912.

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Syrri, Angeliki Lydia Antonia. "Reliability and risk analysis of post fault capacity services in smart distribution networks." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/reliability-and-risk-analysis-of-post-fault-capacity-services-in-smart-distribution-networks(b1a93b49-d307-4561-800d-0a9944a7a577).html.

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Recent technological developments are bringing about substantial changes that are converting traditional distribution networks into "smart" distribution networks. In particular, it is possible to observe seamless integration of Information and Communication Technologies (ICTs), including the widespread installation of automatic equipment, smart meters, etc. The increased automation facilitates active network management, interaction between market actors and demand side participation. If we also consider the increasing penetration of distributed generation, renewables and various emerging techn
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Ackebjer, Turesson Hampus, and Jesper Werneskog. "The Challenge of Providing Sufficient Grid Capacity for Electrification to Be a Key Factor in Achieving Climate Neutrality Until 2045 : A national and regional demand analysis investigating the future electricity demand and the grid operators' perspectives on large-scale electrification in Sweden." Thesis, Linköpings universitet, Energisystem, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-168135.

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The purpose of the thesis is to contribute to grid planning and public debate about how the electric power system can cope with electrification and decarbonisation. The thesis is based on the assumption that Sweden, in accordance with the climate goals, will achieve climate neutrality by 2045. Based on a literature review, an analysis is made of how different scenarios predict the future national electricity demand up until 2045 and identifies the underlying drivers for changes in electricity demand. A more detailed analysis based on results from a literature review and interviews with industr
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Campos, Mogrovejo Luis Alberto, and Sovero José Martín Valencia. "Diseño de un planeamiento de requerimiento de materiales para mejorar la gestión del área de planeamiento y control de la producción en una empresa de la industria de pinturas." Bachelor's thesis, Universidad Ricardo Palma, 2015. http://cybertesis.urp.edu.pe/handle/urp/1296.

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El presente estudio se realizó en la empresa Soprin SAC pertenece al rubro de pinturas, cuenta con dos líneas de producción: la línea de temple y la línea de látex. El estudio estará enfocado a la línea de látex. Actualmente, se fabrican los productos terminados (PT) de acuerdo a las cantidades especificadas en las órdenes de compra de los clientes, las cuales son ingresadas al módulo de ventas para luego ser aprobadas por el área de Créditos y Cobranzas, siendo finalmente atendidas por el área de Planeamiento y Control de la Producción que se encargará de generar las ordenes fabricación y en
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Books on the topic "Analysis of capacity and demand"

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Airport analysis, planning, and design: Demand, capacity, and congestion. Nova Science, 2009.

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Fitness for work: The role of physical demands analysis and physical capacity assessment. Washington, DC, 1992.

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Liu, Liguang, Jie Xiao, Dachun Yang, and Wen Yuan. Gaussian Capacity Analysis. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95040-2.

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Kleindorfer, Paul R. Optimal capacity planning under stagnating demand. Wissenchaftszentrum Berlin, 1985.

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IBM system z10 capacity on demand. 2nd ed. International Business Machines Corp., 2009.

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Stanislaw, Joseph. OPEC's quota race: Demand versus capacity. Cambridge Energy Research Associates, 1989.

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IBM system z10 EC capacity on demand. IBM, International Technical Support Organization, 2008.

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Sandhu, Baljinder S. Labour demand: A cointegration analysis. typescript, 1993.

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Duncan, Ann. Working data for demand analysis. U.S. Dept. of Agriculture, Economic Research Service, 1985.

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Systematics, Cambridge. Multimodal corridor and capacity analysis manual. National Academy Press, 1998.

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Book chapters on the topic "Analysis of capacity and demand"

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Howlett, Michael. "Policy Analytical Capacity: The Supply and Demand for Policy Analysis in Government." In Policy Capacity and Governance. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54675-9_3.

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Schönberger, Jörn, and Herbert Kopfer. "Impacts of Imprecise Demand Forecasts in Network Capacity Control: An Online Analysis." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21527-8_48.

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Chen, Xiaoli. "Estimating Regional Water Resources Carrying Capacity Based on Big Data Analysis of Demand and Supply." In Proceedings of the Sixth International Forum on Decision Sciences. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8229-1_2.

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Menache, Ishai, and Nahum Shimkin. "Proportional QoS in Differentiated Services Networks: Capacity Management, Equilibrium Analysis and Elastic Demands." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11600930_73.

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Washizu, Ayu, and Satoshi Nakano. "An Assessment of Carbon Taxation by Input–Output Analysis: Upstream or Downstream?" In Economics, Law, and Institutions in Asia Pacific. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6964-7_9.

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Abstract To analyze the ripple effects of CO2 emissions from the introduction of renewable energy power plants, this study developed input–output tables for analysis of next-generation energy systems (IONGES). The results revealed that the environmental benefits obtained from investing in power plants of the same capacity vary significantly depending on the type of renewable energy. Using the IONGES, under assumptions of three carbon taxation methods (upstream, midstream, and downstream), we calculated the taxable CO2 emissions induced when producing each good or service and estimated the carbon tax burden associated with the final demand. We found that, in the upstream method, the taxation effects of one unit of carbon tax is concentrated in energy goods such as coal products and petroleum basic, while the effects are relatively dispersed in the downstream taxation method. If renewable energy is added to the government target level in 2030, taxable CO2 emissions will decrease by 12–13.3%. Compared with the upstream taxation method, in the midstream and downstream methods, the CO2 emissions induced by each final demand are distributed more evenly across various goods and services. Compared to the downstream taxation method, upstream taxation leads to higher CO2 emissions from exports, but lower CO2 emissions from household consumption. This is because energy-intensive industries such as machinery have high export ratios. We analyzed which expenditure categories contribute to the carbon tax burden associated with household consumption. In the case of upstream taxation, households mainly focus on reducing electricity consumption; in the case of downstream taxation, households reduce consumption of various energy-intensive goods and services.
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Raczyński, Maciej, Artur Wyrwa, Marcin Pluta, and Wojciech Suwała. "Optimal Energy Portfolios in the Heating Sector and Flexibility Potentials of Combined-Heat-Power Plants and District Heating Systems." In The Future European Energy System. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-60914-6_12.

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AbstractThis chapter examines the role of centralized district heating (DH) systems in context of energy system flexibility and decarbonization. The analysis is performed by applying the model TIMES-Heat-EU. Capacity expansion and operation of the district heating generation units is mainly driven by the evolution of the district heating demand, which varies between the REFLEX scenarios. In all scenarios fuel and technology switches toward bioenergy and natural gas leading to CO2 emission reduction. Since the total amount of energy produced (both heat and electricity) is the highest in the High-RES centralized scenario, the corresponding CO2 emissions for district heating are the highest as well. The CO2 emissions can be reduced by ⁓60% in 2050 compared to 2015. Furthermore, the role of thermal energy storage and power-to-heat technologies is examined.
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Crowson, Phillip. "Demand Analysis." In Economics for Managers. Palgrave Macmillan UK, 1985. http://dx.doi.org/10.1007/978-1-349-17812-4_4.

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Petrochilos, George A. "Demand Analysis." In Managerial Economics. Macmillan Education UK, 2004. http://dx.doi.org/10.1007/978-1-137-10771-8_4.

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Hayashi, Takashi. "Demand Analysis." In Microeconomic Theory for the Social Sciences. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3541-0_6.

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Ammons, David N., and Dale J. Roenigk. "Demand analysis." In Tools for Decision Making, 3rd ed. Routledge, 2021. http://dx.doi.org/10.4324/9781003129431-13.

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Conference papers on the topic "Analysis of capacity and demand"

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Al-Madani, H. M. N., and M. Saad. "Analysis of roundabout capacity under high demand flows." In URBAN TRANSPORT 2009. WIT Press, 2009. http://dx.doi.org/10.2495/ut090211.

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Liu, Feng, Kate Keahey, Pierre Riteau, and Jon Weissman. "Dynamically Negotiating Capacity Between On-demand and Batch Clusters." In SC18: International Conference for High Performance Computing, Networking, Storage and Analysis. IEEE, 2018. http://dx.doi.org/10.1109/sc.2018.00041.

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Rossetto, Tiziana, Pierre Gehl, Stylianos Minas, et al. "Sensitivity Analysis of Different Capacity Spectrum Approaches to Assumptions in the Modeling, Capacity and Demand Representations." In Second International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty, Modeling, and Analysis (ISUMA). American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413609.167.

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Stefanidou, Sotiria, and Andreas Kappos. "SEISMIC CAPACITY AND DEMAND ASSESSMENT IN BRIDGE-SPECIFIC FRAGILITY ANALYSIS." In 6th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering Methods in Structural Dynamics and Earthquake Engineering. Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece, 2017. http://dx.doi.org/10.7712/120117.5443.17921.

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Wang, Wei, Ding-xuan Zhao, Wei Liu, and Zhao-sheng Yang. "Study on the model of demand-capacity analysis in supply Chain." In EM 2011). IEEE, 2011. http://dx.doi.org/10.1109/icieem.2011.6035451.

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D’Acierno, L., M. Gallo, B. Montella, and A. Placido. "Analysis of the interaction between travel demand and rail capacity constraints." In Urban Transport 2012. WIT Press, 2012. http://dx.doi.org/10.2495/ut120181.

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Jiao, Chi-yu, Pei-heng Long, and Yi-juan Wang. "Seismic Retrofit Analysis of Urban Grade Separation Bridge --Application of Capacity/Demand Analysis Method." In 2010 International Conference on E-Product E-Service and E-Entertainment (ICEEE 2010). IEEE, 2010. http://dx.doi.org/10.1109/iceee.2010.5661165.

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Rong, Chunyan, Shiyao Hu, Jialin Song, and Yang Liu. "Analysis of distribution network capacity configuration planning method considering demand side response." In 2021 International Conference on Control Science and Electric Power Systems (CSEPS). IEEE, 2021. http://dx.doi.org/10.1109/cseps53726.2021.00068.

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Ceryan, Oben, Yoram Koren, and Izak Duenyas. "Control of a Two-Stage Assemble-to-Order Manufacturing System Under Demand and Capacity Uncertainties." In ASME 2008 9th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2008. http://dx.doi.org/10.1115/esda2008-59585.

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This paper focuses on the production and assembly control in a two-stage assemble-to-order (ATO) manufacturing system. An ATO manufacturing system keeps inventory only at the component level, and products are assembled only after a customer order is received. ATO systems have a widespread use in various industries where mass customization is popular. The motivation of the problem is due to the need for firms in this setting to effectively coordinate the production of components and allocate the assembly line capacity shared across many different products. We model component production lines an
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Lu, Ling, Jiaqi Xiong, Minsi Liu, Yiying Wang, Shanshan Xiang, and Qiriga Han. "Analysis of Current Status and Demand of College Students’ External Image-building Capacity." In Proceedings of the 2019 International Conference on Management, Education Technology and Economics (ICMETE 2019). Atlantis Press, 2019. http://dx.doi.org/10.2991/icmete-19.2019.131.

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Reports on the topic "Analysis of capacity and demand"

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Escobari, Diego, and Li Gan. Price Dispersion under Costly Capacity and Demand Uncertainty. National Bureau of Economic Research, 2007. http://dx.doi.org/10.3386/w13075.

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Nickerson, David B., and Stanley S. Reynolds. Optimal Monopoly Investment and Capacity Utilization under Random Demand. Federal Reserve Bank of St. Louis, 1990. http://dx.doi.org/10.20955/wp.1990.003.

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A. Findikakis. Heat Capacity Analysis Report. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/838658.

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Ghatikar, Girish, Aimee McKane, Sasank Goli, Peter Therkelsen, and Daniel Olsen. Assessing the Control Systems Capacity for Demand Response in California Industries. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1057569.

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Knittel, Christopher, and Jason Lepore. Tacit Collusion in the Presence of Cyclical Demand and Endogenous Capacity Levels. National Bureau of Economic Research, 2006. http://dx.doi.org/10.3386/w12635.

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Kiliccote, Sila, and Mary Ann Piette. Automation of Capacity Bidding with an Aggregator Using Open Automated Demand Response. Office of Scientific and Technical Information (OSTI), 2008. http://dx.doi.org/10.2172/1011044.

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Chernozhukov, Victor, Jerry Hausman, and Whitney Newey. Demand Analysis with Many Prices. National Bureau of Economic Research, 2019. http://dx.doi.org/10.3386/w26424.

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Newey, Whitney K., Jerry Hausman, and Victor Chernozhukov. Demand analysis with many prices. The IFS, 2019. http://dx.doi.org/10.1920/wp.cem.2019.5919.

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Ross, W. A., R. R. Wehrman, J. R. Young, and S. R. Shaver. DOE mixed waste treatment capacity analysis. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/10165538.

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Crawford, Ian, and Matthew Polisson. Demand analysis with partially observed prices. Institute for Fiscal Studies, 2015. http://dx.doi.org/10.1920/wp.ifs.2015.1516.

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