Academic literature on the topic 'Capacity management'

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Journal articles on the topic "Capacity management"

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Hron, J., and T. Macák. "Determination of management capacity." Agricultural Economics (Zemědělská ekonomika) 54, No. 2 (February 22, 2008): 49–55. http://dx.doi.org/10.17221/271-agricecon.

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This paper deals with the creation of a procedure to make it possible to evaluate the adequacy of the span of control (number of immediate subordinate staff). The maximum span of control depends on the complexity of the coordinating mechanism. In developing this procedure, information theory (more precisely – law of necessary variety) will be used. This paper contains a brief review of information theory and of the conventional approach, before moving on to the application part, to develop a method of determining the optimum for the managers’ span of control.
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Sánchez-Lozano, Gloria, and Esther Chávez-Miranda. "“Tratamiento de capacity management e inventory management en manuales de revenue management”." International Journal of World of Tourism 2, no. 4 (2015): 9–16. http://dx.doi.org/10.12795/ijwt.2015.i04.02.

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Sill, Brian. "Capacity Management." Cornell Hotel and Restaurant Administration Quarterly 41, no. 1 (February 2000): 8. http://dx.doi.org/10.1177/001088040004100102.

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Savvides, A. "Capacity management." Computer Bulletin 46, no. 4 (July 1, 2004): 28. http://dx.doi.org/10.1093/combul/46.4.28.

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Alp, Osman, and Tarkan Tan. "Tactical capacity management under capacity flexibility." IIE Transactions 40, no. 3 (January 8, 2008): 221–37. http://dx.doi.org/10.1080/07408170701488052.

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Rees, Susan, Beth Houlahan, and Dennise Lavrenz. "Enhancing Capacity Management." JONA: The Journal of Nursing Administration 44, no. 3 (March 2014): 121–24. http://dx.doi.org/10.1097/nna.0000000000000036.

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Sill, Brian, and Robert Decker. "Applying Capacity-management Science." Cornell Hotel and Restaurant Administration Quarterly 40, no. 3 (June 1999): 22–30. http://dx.doi.org/10.1177/001088049904000316.

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Levina, Tatsiana, Yuri Levin, Jeff McGill, and Mikhail Nediak. "Network Cargo Capacity Management." Operations Research 59, no. 4 (August 2011): 1008–23. http://dx.doi.org/10.1287/opre.1110.0929.

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Betts, Alan, Maureen Meadows, and Paul Walley. "Call centre capacity management." International Journal of Service Industry Management 11, no. 2 (May 2000): 185–96. http://dx.doi.org/10.1108/09564230010323840.

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SILL, B., and R. DECKER. "Applying capacity-management science." Cornell Hotel and Restaurant Administration Quarterly 40, no. 3 (June 1999): 22–0. http://dx.doi.org/10.1016/s0010-8804(99)80034-2.

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Dissertations / Theses on the topic "Capacity management"

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Lee, Yong Woo. "Data aggregation for capacity management." Thesis, [College Station, Tex. : Texas A&M University, 2003. http://hdl.handle.net/1969.1/90.

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Thesis (M.S.)--Texas A&M University, 2003.
"Major Subject: Industrial Engineering" Title from author supplied metadata (automated record created on Jul. 18, 2005.) Vita. Abstract. Includes bibliographical references.
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HARROD, STEVEN S. "RAILWAY CAPACITY MANAGEMENT AND PLANNING." University of Cincinnati / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1186181286.

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Popescu, Andreea. "Air cargo revenue and capacity management." Diss., Available online, Georgia Institute of Technology, 2006, 2006. http://etd.gatech.edu/theses/available/etd-11202006-095545/.

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Thesis (Ph. D.)--Industrial & Systems Engineering, Georgia Institute of Technology, 2007.
Dr. Dirk Gunther, Committee Member ; Dr. Hayriye Ayhan, Committee Member ; Dr. Ellis L. Johnson, Committee Chair ; Dr. Pinar Keskinocak, Committee Co-Chair ; Dr. Julie Swann, Committee Member
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Sedaghat, Mina. "Capacity Management Approaches for Compute Clouds." Licentiate thesis, Umeå universitet, Institutionen för datavetenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-87242.

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Cloud computing provides the illusion of a seamless, infinite resource pool with flexibleon-demand accessibility. However, behind this illusion there are thousands ofservers and peta-bytes of storage, running tens of thousands of applications accessedby millions of users. The management of such systems is non-trivial because theyface elastic demand, have heterogeneous resources, must fulfill diverse managementobjectives, and are vast in scale.Autonomic computing techniques can be used to tackle the complex problem ofresource management in cloud data centers by introducing self-managing elementsknown as autonomic managers. Each autonomic manager should be capable of managingitself while simultaneously contributing to the fulfillment of high level systemwideobjectives. A wide range of approaches and mechanisms can be used to defineand design these autonomic managers as well as to organize them and coordinate theiractions in order to achieve specific goals.This thesis investigates autonomic approaches for cloud resource management thataim to optimize the cloud infrastructure layer with respect to various high level objectives.The resource management problem is formulated as a problem of optimizationwith respect to one or more management objectives such as cost, profitability, or datacenter utilization, as well as performance concerns such as response time, quality ofservice, and rejection rates. The aim of the reported investigations is to address theproblems of cost-efficient elastic resource provisioning, unified management of cloudresources, and scalability in cloud resource management. This is achieved by introducingthree new concepts in capacity management: the Repacking, Holistic, and Peerto Peer approaches.
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Balaraman, Subha. "Bill Share - Capacity Planning and Management." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1339698740.

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Lapotka, Aliaksandr. "Capacity Management a ITIL ve službách datacentra." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-114305.

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This thesis deals with the process of Capacity Management. The main objective of the process is to ensure sufficient capacity of existing infrastructure to support daily business operations and projections of future capacity based on the requirements of the business. In the first part the author focuses on the basic performance characteristics of the Capacity Management coming within the Information Technology Infrastructure Library (ITIL). Also, the author analyzes the process of Capacity Management in an unnamed company and compares it with the best practices of ITIL. The second part is derived from the first, where the author discusses the Business Capacity Management and management of the capacity of IS/ICT. The last part of thesis is about Cloud Computing technologies from the Capacity Management point of view, as well as the introduction of such technologies in selected company. Each part consists of both theoretical backgrounds from diverse sources, as well as practical experience of the author.
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Barz, Christiane. "Risk-averse capacity control in revenue management." Berlin : Springer, 2007. http://dx.doi.org/10.1007/978-3-540-73014-9.

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Nidhi, Akansha, and Fady Riad. "Capacity management and make-vs.-buy decisions/." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/112862.

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Thesis: M. Eng. in Supply Chain Management, Massachusetts Institute of Technology, Supply Chain Management Program, 2017.
Cataloged from PDF version of thesis.
Includes bibliographical references (page 56).
The oil and gas industry is characterized by unpredictable boom and busts cycles. Companies must manage capacity to be able to quickly meet increasing demand during boom cycles and survive when oil prices go down. During this time, companies resort to in-house sourcing ("Make") or buying externally ("Buy") from suppliers, whichever is rational. Since 2014, the oil field services industry has been in a period of recession, and oil prices have dropped significantly. The company's sourcing team asked us to analyze the Make-vs.-Buy scenarios. Our research has two primary objectives. First, to provide a methodical understanding of key Make-vs.-Buy decision factors for optimized capacity management during an upturn. Second, to develop a 2x2 assessment model that can assist in making the Make-vs.-Buy decision once the recession is over and prices have returned to a normal index. We interviewed research company personnel to get a better sense of their hypotheses: first, quantities ordered vary with boom/bust cycles; second, external pricing rises during boom cycles and falls during bust cycles; third, internal sourcing has a unified price that does not change with the boom/bust cycle. We tested the company's hypotheses with a limited set of product data but could not verify them. To better assess the situation, we researched the factors considered by theorists when making a Make-vs.- Buy decision. Based on this research, we identified four assessment criteria -- strategic, technological, market and economic factors -- that are intrinsic as well as extrinsic to the company throughout the entire decision making process. Furthermore, we created a model to test boom and bust circumstances and provide a better testing mechanism for boom and bust cycles.
by Akansha Nidhi and Fady Riad.
M. Eng. in Supply Chain Management
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Li, Ling Xia. "Capacity resource management and performance in hospitals." Connect to resource, 1996. http://rave.ohiolink.edu/etdc/view.cgi?acc%5Fnum=osu1261407038.

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Sollander, Kristina, and Lisa Hedvall. "Capacity dimensioning of operations capacity in manufacturing companies." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Företagsekonomi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-30215.

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Purpose:To investigate how managers work with capacity dimensioning and what the main challenges are in order to balance efficiency and responsiveness in the continuous operations, as well as investigate what patterns and trends that can be identified within the capacity dimensioning approach. Methodology:A multiple case study was conducted including 14 manufacturing companies. Empirical data was collected through semi-structured interviews and used to explain the phenomenon of capacity dimensioning. Differences and similarities in the way companies approach capacity dimensioning was investigated though a cross-case analysis. The research is of exploratory and inductive character. Findings:A general process for capacity dimensioning has been established and affecting aspects and challenges has been identified. Potential trends and relationships have been investigated for the capacity dimensioning approach, with a potential connection between flexibility and investment strategy with introduction period in human resources. Further the capacity strategies tend to vary depending on alternative capacity sources. Theoretical implications:Information is provided for how capacity dimensioning is done at companies today, connections are strong to adjacent theories as S&OP but with more detail in the area of setting the capacity level. Managerial implications:The capacity dimensioning does not have a solution that suits all companies, but communication and alignment in the supply chain should not be underestimated for successful capacity dimensioning. Research delimitations:The research is conducted on manufacturing companies active in Sweden, other countries or continents of the world could generate other results because of different culture and laws. Further, service companies could also have provided other results.
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Books on the topic "Capacity management"

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Capacity management. Cincinnati: South-Western Pub. Co., 1989.

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Klosterboer, Larry. ITIL capacity management. Upper Saddle River, NJ: IBM Press/Pearson, 2011.

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Sabharwal, Navin, and Prashant Wali. Cloud Capacity Management. Berkeley, CA: Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-4924-5.

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Essentials of capacity management. New York: Wiley, 2002.

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Walter, Honadle Beth, and Howitt Arnold M. 1947-, eds. Perspectives on management capacity building. Albany: State University of New York Press, 1986.

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1948-, Baden Fuller C., ed. Managing excess capacity. Oxford, UK: Blackwell, 1990.

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Kidd, Joanne. Conversations about capacity building. [Edmonton, AB]: Muttart Foundation, 2005.

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Blokland, M. W. Capacity development for improved water management. Edited by Unesco-IHE Institute for Water Education and World Water Symposium (5th : 2009 : Istanbul, Turkey). Boca Raton, Fl: CRC Press, 2010.

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R, Mutahaba G., and Balogun M. J, eds. Enhancing policy management capacity in Africa. West Hartford, Conn., USA: Kumarian Press, 1992.

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Correll, James G. Gaining control: Capacity management and scheduling. 2nd ed. New York: John Wiley, 1999.

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Book chapters on the topic "Capacity management"

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Barnes, David. "Capacity." In Operations Management, 135–63. London: Macmillan Education UK, 2017. http://dx.doi.org/10.1057/978-1-137-52577-2_5.

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Waters, Donald. "Capacity Management." In Supply Chain Management, 229–63. London: Macmillan Education UK, 2009. http://dx.doi.org/10.1007/978-1-137-26234-9_8.

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Greasley, Andrew. "Capacity management." In Absolute Essentials of Operations Management, 57–66. Milton Park, Abingdon, Oxon ; New York, NY : Routledge, 2020.: Routledge, 2019. http://dx.doi.org/10.4324/9780429290602-11.

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Schönsleben, Paul. "Capacity Management." In Integral Logistics Management, 569–608. Fifth edition. | Boca Raton, FL : CRC Press, 2016.: CRC Press, 2018. http://dx.doi.org/10.4324/9781315368320-17.

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Schönsleben, Paul. "Capacity Management." In Handbook Integral Logistics Management, 595–634. Berlin, Heidelberg: Springer Berlin Heidelberg, 2022. http://dx.doi.org/10.1007/978-3-662-65625-9_14.

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Hill, Alex, and Terry Hill. "Managing Capacity." In Operations Management, 353–406. London: Macmillan Education UK, 2012. http://dx.doi.org/10.1007/978-1-137-01563-1_8.

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Sabharwal, Navin, and Prashant Wali. "Capacity Management Concepts." In Cloud Capacity Management, 131–36. Berkeley, CA: Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-4924-5_14.

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Sabharwal, Navin, and Prashant Wali. "Cloud Capacity Management." In Cloud Capacity Management, 35–54. Berkeley, CA: Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-4924-5_5.

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Sabharwal, Navin, and Prashant Wali. "Capacity Management Design." In Cloud Capacity Management, 71–78. Berkeley, CA: Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-4924-5_8.

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Sabharwal, Navin, and Prashant Wali. "Capacity Monitoring." In Cloud Capacity Management, 99–108. Berkeley, CA: Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-4924-5_11.

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Conference papers on the topic "Capacity management"

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Drummond, John, Jeff Wolfe, Martin Smith, Jeff Conner, Ken Brawley, Bart Seefeldt, and Cary Davis. "Capacity Management Solutions." In ISTFA 2004. ASM International, 2004. http://dx.doi.org/10.31399/asm.cp.istfa2004p0144.

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Abstract This paper will cover some of the options available to manage the failure analysis process when it is capacity constrained. This paper will provide a method to model a failure analysis operations capacity to aid in the decision process of where the constraints are. Several examples of solutions to some typical constraints will be presented also.
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Yexi Jiang, Chang-Shing Perng, Tao Li, and Rong Chang. "Intelligent cloud capacity management." In 2012 IEEE/IFIP Network Operations and Management Symposium (NOMS 2012). IEEE, 2012. http://dx.doi.org/10.1109/noms.2012.6211941.

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Haney, B., and M. Canter. "Lean and agile capacity management." In ISSM 2005, IEEE International Symposium on Semiconductor Manufacturing, 2005. IEEE, 2005. http://dx.doi.org/10.1109/issm.2005.1513376.

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Suryasaputra, Robert, Alexander Kist, and Richard Harris. "OptiFlow - A Capacity Management Tool." In TENCON 2005 - 2005 IEEE Region 10 Conference. IEEE, 2005. http://dx.doi.org/10.1109/tencon.2005.300828.

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Ming, Zeng, and Tian Kuo. "Transmission Capacity Expansion Investment Decision in Electricity Market." In Engineering Management. IEEE, 2008. http://dx.doi.org/10.1109/icrmem.2008.75.

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Nuangjamnong, C., S. P. Maj, and D. Veal. "The OSI network management model- capacity and performance management." In Technology (ICMIT 2008). IEEE, 2008. http://dx.doi.org/10.1109/icmit.2008.4654552.

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"PROGNOSTIC CAPACITY MANAGEMENT FROM AN IT SERVICE MANAGEMENT PERSPECTIVE." In 10th International Conference on Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001710603200325.

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Rizvanov, Dmitry, Evgeniy Chernyshev, and Nafissa Yussupova. "Resource Management Planning of Production Capacity." In Proceedings of the 21st International Workshop on Computer Science and Information Technologies (CSIT 2019). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/csit-19.2019.54.

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Duin, Heiko, Peter Hofbauer, Omer Karacan, Erich Markl, Josef Withalm, Walter Wolfel, and Darius Zand. "Collaborative Demand Capacity Planning." In 2009 IEEE International Technology Management Conference (ICE). IEEE, 2009. http://dx.doi.org/10.1109/itmc.2009.7461413.

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Ahmed, Shaftab, and Azween Abdullah. "E-healthcare and data management services in a cloud." In 2011 High Capacity Optical Networks and Enabling Technologies (HONET). IEEE, 2011. http://dx.doi.org/10.1109/honet.2011.6149827.

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Reports on the topic "Capacity management"

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Archer, Sr, and Charles A. DoD Information Systems Capacity Management Function. Fort Belvoir, VA: Defense Technical Information Center, November 1993. http://dx.doi.org/10.21236/ada275987.

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Hulten, Charles. What is Productivity: Capacity or Welfare Management? Cambridge, MA: National Bureau of Economic Research, January 1992. http://dx.doi.org/10.3386/w3970.

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Dunleavy, G. J. Configuration Management, Capacity Planning Decision Support, Modeling and Simulation. Fort Belvoir, VA: Defense Technical Information Center, December 1988. http://dx.doi.org/10.21236/ada218302.

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Waldbusser, S. Remote Network Monitoring Management Information Base for High Capacity Networks. RFC Editor, July 2002. http://dx.doi.org/10.17487/rfc3273.

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Awadalla, N. G. A risk management approach to nuclear waste inventory versus storage capacity. Office of Scientific and Technical Information (OSTI), October 1996. http://dx.doi.org/10.2172/332194.

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Coles, G. A., T. J. Thurkow, R. L. Fritz, L. O. Nuhlestein, M. R. Allen, and R. J. Stuart. A risk management approach to double-shell tank waste volume versus storage capacity. Office of Scientific and Technical Information (OSTI), January 1996. http://dx.doi.org/10.2172/466837.

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Research Institute (IFPRI), International Food Policy. Strengthening institutional capacity for disaster management and risk reduction through climate-resilient agriculture. Washington, DC: International Food Policy Research Institute, 2019. http://dx.doi.org/10.2499/p15738coll2.133279.

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Castaneda, Juan, and Andrew Ioan. Assessment of a Distributed Energy Resource Management System for Enabling Dynamic Hosting Capacity. Office of Scientific and Technical Information (OSTI), April 2022. http://dx.doi.org/10.2172/1864777.

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Cerveny, Lee K., and Clare M. Ryan. Agency capacity for recreation science and management: the case of the U.S. Forest Service. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 2008. http://dx.doi.org/10.2737/pnw-gtr-757.

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Amama, Placidus B., Jonathan E. Spowart, Andrey A. Voevodin, and Timothy S. Fisher. Agile Thermal Management STT-RX, Modified Magnesium Hydride and Calcium Borohydride for High-Capacity Thermal Energy Storage (PREPRINT). Fort Belvoir, VA: Defense Technical Information Center, December 2011. http://dx.doi.org/10.21236/ada554163.

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