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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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Escovar, Álvarez Germán. "Capacity management schemes for dual cabin aircraft : airline revenue management insights." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/104120.
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Thesis: S.M. in Transportation, Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2016.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 175-176).
The selection of an aircraft type has long term effects on the competitive position of the airline. In a market that is continuously evolving, such as the commercial aviation industry, any degree of flexibility for adjusting an aircraft capacity to match better the demand provides an opportunity for airlines to remain profitable when conditions have changed. This thesis focuses on airlines operating dual cabin aircraft (premium and economy cabins) and explores two alternatives that can be used to adjust the capacity made available to maximize revenues. On the one hand, an easily implementable strategy of premium cabin capacity sharing is proposed with the intention of allowing passengers booking in economy fare classes to be accommodated in premium cabin seats when these seats are expected to be empty. On the other hand, a medium to long-term solution of changing the aircraft configuration (through aircraft replacement or retrofit) is considered. Both alternatives are tested using simulation tools that incorporate revenue management concepts and passenger decision making. Four heuristics are developed and tested to evaluate premium cabin capacity sharing. Based on the simulations, it is found that the methodologies proposed can generate total revenue gains of up to 1.1%. Nevertheless, two caveats are identified: first, losses in the revenue captured from premium fare classes are likely to be experienced due to displacement by economy fare class passengers. Second, premium cabin capacity sharing should only be implemented in the final stages of the booking process; otherwise, the sharing heuristics could result in revenue losses for the airline. With respect to cabin configuration analysis, an analytical model based on the Boeing-Swan Spill Model (BSM) is applied to dual cabin aircraft and is used to estimate the impacts on revenue due to a change in configuration. These results are compared to the results of the simulations and it is found that the BSM is able to predict in most cases whether the configuration change will generate revenue gains or losses for the airline. However, estimates of the dual cabin BSM ignore the interaction between passengers of both cabins, leading to incorrect estimates of load factors and average revenue values of spilled or accommodated passengers.
by Germán Escovar Álvarez.
S.M. in Transportation
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Ritz, Suzanna Gidley. "KID smART: Working to Increase Capacity." ScholarWorks@UNO, 2012. http://scholarworks.uno.edu/aa_rpts/139.
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This internship report is based on my work with the organization KID smART from June of 2011 through November of 2012. I had the opportunity to work in several departments, including programming, development, and administrative support, as well as directly with students in New Orleans public schools. From this unique point of view, I observed how an effective organization approaches the complex education system and works towards change in a challenging environment. My observations attempt to describe the evolution of this dynamic agency, its procedures for regulation and evaluation, and what role it plays in the community. My recommendations are based on perceived gaps in an otherwise highly functional organization that has a positive impact on its stakeholdersʼ quality of life.
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Ntshangase, Bonga. "Identifying delay factors in electrical distribution projects at Eskom Northern Cape Operating Unit." Master's thesis, University of Cape Town, 2017. http://hdl.handle.net/11427/27358.
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Delays on electrical engineering projects are a phenomenon at Eskom distribution due to a wide range of causes. These project delays result in Eskom to contravene with Electricity Regulation Act 4 of 2006 in terms of providing efficient, effective and sustainable operation of electricity supply infrastructure, promoting the use of renewable energy sources and energy efficiency as well as to facilitate universal access to electricity for South African consumers (Gazette, 2006). Eskom strives to comply with the Electricity Regulation Act by initiating and implementing strengthening projects, refurbishment (reliability) projects, direct customer projects, infills projects and electrification projects (Eskom, 2014).The severe delays experienced in the delivery of electrical distribution projects have a negative impact on South African economic growth and population. This research study adopted interactive management methodology for the identification of project delay factors in Eskom distribution projects through the use of the idea writing technique, nominal group technique, and interpretive structural modelling technique. The interactive management methodology allows a group of people collaboratively to develop a structure that defines the relationship among the system elements. Using interactive management approach, a total of one hundred and twelve project delay factors were reduced to twenty six significant project delays which formed part of interpretive structural modelling. This research study revealed the hierarchical model illustrating interrelationships between the twenty six identified project delay factors. The research study identified three root causes of delays in electrical distribution projects at Eskom Northern Cape Operating Unit, namely "poor communication", "poor planning", and "project scheduling not properly done". The three identified root causes can be used as critical points for eradicating delays in electrical distribution projects at Eskom Northern Cape Operating Unit. The research study found that a total of ten out of twenty six project delay factors were unique to electrical distribution projects at Eskom Northern Cape Operating Unit.
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Ivey, Janet Liane. "Evaluating the groundwater management capacity of conservation authorities." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0020/MQ55683.pdf.
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Al-Sasi, Basil Omar. "A lean approach to capacity management in construction." Thesis, University of Southampton, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.443046.
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Ashouri, P. "A dynamic simulation framework for biopharmaceutical capacity management." Thesis, University College London (University of London), 2011. http://discovery.ucl.ac.uk/1306173/.
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In biopharmaceutical manufacturing there have been significant increases in drug complexity, risk of clinical failure, regulatory pressures and demand. Compounded with the rise in competition and pressures of maintaining high profit margins this means that manufacturers have to produce more efficient and lower capital intensive processes. More are opting to use simulation tools to perform such revisions and to experiment with various process alternatives, activities which would be time consuming and expensive to carry out within the real system. A review of existing models created for different biopharmaceutical activities using the Extend® (ImagineThat!, CA) platform led to the development of a standard framework to guide the design and construct of a more efficient model. The premise of the framework was that any ‘good’ model should meet five requirement specifications: 1) Intuitive to the user, 2) Short Run-Time, 3) Short Development Time, 4) Relevant and has Ease of Data Input/Output, and 5) Maximised Reusability and Sustainability. Three different case studies were used to test the framework, two biotechnology manufacturing and one fill/finish, with each adding a new layer of understanding and depth to the standard due to the challenges faced. These Included procedures and constraints related to complex resource allocation, multi-product scheduling and complex ‘lookahead’ logic for scheduling activities such as buffer makeup and difficulties surrounding data availability. Subsequently, in order to review the relevance of the models, various analyses were carried out including schedule optimisation, debottlenecking and Monte Carlo simulations, using various data representation tools to deterministically and stochastically answer the different questions within each case study scope. The work in this thesis demonstrated the benefits of using the developed standard as an aid to building decision-making tools for biopharmaceutical manufacturing capacity management, so as to increase the quality and efficiency of decision making to produce less capital intensive processes.
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Niles, Augusta (Augusta L. ). "Stochastic capacity modeling to support demand/capacity gap planning." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/90770.
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Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2014. In conjunction with the Leaders for Global Operations Program at MIT.Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014. In conjunction with the Leaders for Global Operations Program at MIT.
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Cataloged from PDF version of thesis.
Includes bibliographical references (pages 62-63).
Capacity strategy has established methods of dealing with uncertainty in future demand. This project advances the concept of capacity strategy under conditions of uncertainty in cases where capacity is the primary source of uncertainty. Novartis Vaccines, one of five divisions of Novartis AG, produces nearly two dozen vaccines which are offered in syringes, vials, multi or single pack, and multi or single dose and delivered in language-specific packaging to countries all over the world. Bexsero is a new product in 2013. As demand for Bexsero and other products increases over the next ten years, the production lines used to package them will need to accommodate more and more volume. Capacity planning compares capacity gaps between future demand and current estimated capacity. Because of recurring shortfalls in production relative to planned capacity, current estimates of capacity are not trusted for long-term planning. Understanding how international product demand will be allocated to each production line and what drives current capacity limitations will help Novartis Vaccines prioritize investment to optimally develop this capacity over time. Thus, the purpose of this model is to establish baseline capacity estimates using historical data and allow for the simulation of new production scenarios in order to demonstrate the impact of production policy on mean and variance of capacity over a specified time horizon. Incorporating simulated results produces a mean and standard deviation of capacity we are likely to see. Long-term demand was assessed, capacity versus peak demand views were created, and production scenarios were simulated on a single line/product/format basis over the time horizon to determine expected capacity. Recommendations were made for each of the pre-filled syringe, multi-format, and vial format lines and these results were used to shape an overall packaging capacity development plan.
by Augusta Niles.
M.B.A.
S.M.
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Jones, Peter. "Hospitality operations management : a systems approach to the service concept and capacity management." Thesis, University of Surrey, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.388992.
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Mountjoy, Natalie Jones. "COMMUNITY-BASED NATURAL RESOURCE MANAGEMENT: GROUP CAPACITY, RESOURCE MANAGEMENT PLANNING AND ASSESSING SUCCESS." OpenSIUC, 2014. https://opensiuc.lib.siu.edu/dissertations/930.
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Grass-roots conservation efforts, implemented at the local level, have become increasingly popular within the U.S. and abroad. The conservation and natural resource literature has touted these initiatives as more effective when compared to top-down management efforts. As localities are given more responsibility for managing their own natural resources, their ability to do so effectively has become a major concern. I sought to determine the capacity of these community-based natural resource management (CBNRM) groups to contribute to successful ecosystem management in the state of Illinois, with three primary objectives: to determine the primary components of capacity within a CBNRM organization (chapter 2); to identify the relationship between the levels of capacity in a CBNRM organization and the quality of natural resource management planning conducted by the group (chapter 3); and, to evaluate the effects of resource management plans (RMPs) produced by CBNRM groups on the ecological integrity of the prescribed area. This multi-disciplinary project necessitated reliance on the principles of both sociology and ecology, as required by explorations of socio-ecological systems. This dissertation is an attempt to model the success of CBNRM initiatives by examining changes in ecological integrity and attainment of conservation goals. It is my intent that this model can be used by CBNRM groups in Illinois and other contexts to best meet their goals, and by organizations seeking to assist CBNRM groups as an investment guide to determine what type of assistance is most likely to lead to environmental change. I found motivation, leadership, respect, mutual interest/shared values, outreach/education, marketing, communication, planning, funding and equipment/supplies were the most important drivers of CBNRM group capacity. Additionally, my results show that capacity varied significantly among groups with low, moderate and high RMP success, and that group capacity was predictive of the degree of RMP success. Lastly, I found bird indicators increased, especially at the 7-8 year post-RMP mark, providing some evidence of the utility of CBNRM initiatives in affecting positive environmental change.
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Stefan, Catalin, Hoang Mai Phan, Van Bo Pham, and Peter Werner. "Capacity development platform for promoting efficient urban water management." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-88517.
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The present paper summarizes the results of an application initiated within the framework of 35 years celebration of diplomatic relations between Germany and Vietnam. Within this context, the Technische Universität Dresden (TUD) and the Academy of Managers for Construction and Cities (AMC) jointly organized in 2010 a series of four thematic workshops. The one-day events have had similar structures and focused on main subjects of interest in the water sectors of both countries. In Vietnam, the workshops took place in Ha Noi, Hai Phong, Nha Trang and Vung Tau. Best practice examples about conceptualization, operation and maintenance of municipal water works provided an insight view into the challenges currently faced by the water service providers. TUD and AMC, together with their German and Vietnamese partners, addressed these issues by organizing the consecutive workshops under the umbrella of Vietnamese Water Supply and Sewerage Association (VWSA) and in coordination with the German Water Partnership (GWP)Bài báo trình bày tóm tắt các kết quả của một đề xuất trong khuôn khổ kỷ niệm 35 năm quan hệ ngoại giao giữa CHLB Đức và Việt Nam. Theo đó, Trường Đại học Tổng hợp Kỹ Thuật Dresden (TUD) và Học viện Quản lý Xây dựng và Đô thị (AMC) đã phối hợp tổ chức một chuỗi bốn hội thảo chuyên đề trong năm 2010. Mỗi hội thảo thực hiện trong một ngày chương trình giống nhau và tập trung vào các chủ đề chính mà cả hai quốc gia đều quan tâm trong lĩnh vực nước. Phía Việt Nam, các hội thảo được tổ chức ở các thành phố Hà Nội, Hải Phòng, Nha Trang và Vũng Tàu. Nhiều bài thuyết trình về khái niệm hóa, vận hành và bảo dưỡng các công trình cấp nước đô thị đã thảo luận sâu về những thách thức mà các dịch vụ cấp nước đang gặp phải. TUD và AMC, kết hợp với các đối tác CHLB Đức và Việt Nam, đã ghi nhận các vấn đề phát sinh thông qua việc tổ chức nhiều hội thảo liên tục dưới sự bảo trợ của Hiệp hội Cấp thoát nước Việt Nam (VWSA) và Hiệp hội nước CHLB Đức (GWP)
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CARVALHO, ANDREA REGINA NUNES DE. "SHORT-TERM STRATEGIC CAPACITY MANAGEMENT: ORIGIN, TECNOLOGY AND IMPLEMMENTATION." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2005. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=7075@1.
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INSTITUTO NACIONAL DE TECNOLOGIAA Gestão Estratégica de Curto Prazo é uma abordagem gerencial que interliga as ações do dia-a-dia no chão-de-fábrica e os objetivos estratégicos das organizações, através do uso de simuladores computacionais, baseados na lógica da capacidade finita. Utilizando o simulador, o programador da produção consegue gerar cenários alternativos de programas de produção para acionar o chão-de-fábrica e avaliar os impactos de suas decisões através de diversos indicadores de desempenho. Baseada em experiências acumuladas no desenvolvimento e na implantação destes simuladores em diversas empresas, esta dissertação está organizada em duas partes. A primeira, voltada para uma dimensão tecnológica, tratando dos aspectos relevantes da modelagem de simulação para a geração de programas de produção aderentes à realidade do chão-de-fábrica. A segunda, dirigida para uma dimensão organizacional e humana, onde é proposta uma metodologia de implantação da Gestão Estratégica de Curto Prazo. Dentre os impactos do uso dessa tecnologia de gestão, identificados numa aplicação, destacam-se a redução de estoques em processo, um aumento na flexibilidade do chão-de-fábrica para acomodar variações de mix e volume da demanda e, ainda, uma redução no tempo despendido pelos planejadores para programar as atividades da fábrica.
The Strategic Short-Term Shop-floor Management is a management approach that links decisions taken on a daily-basis at the shop-floor with the strategic goals of the organization, by using a finite capacity scheduling simulator. Using this system, the production planner is able to generate alternative production schedules (scenarios) for the shop-floor and to evaluate the impacts of her (his) decisions through different operational and economical performance measures. This thesis is based on the knowledge accrued in developing and implementing these simulators in different industrial sites and is organized into parts. The first part addresses a technological dimension by examining aspects of the simulation model that are relevant for generating schedules adherent to the shop-floor reality. The second part focuses on an organizational and human dimension and describes a methodology for implementing the Strategic Short- Term Shop-floor Management. Among the results obtained in an actual application of this managerial approach, the following stand out: a reduction of work-in-process, more flexibility in the shop-floor for dealing with mix and volume variations of demand, and a decrease in the time spent by planners for scheduling the plant activities.
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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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Walley, Paul. "Demand and capacity management in healthcare : a systems perspective." Thesis, University of Warwick, 2011. http://wrap.warwick.ac.uk/51557/.
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The report as a whole presents a collection of academic papers that make a significant contribution to the field of demand and capacity management in healthcare. The report is divided into six main sections. In this section the context of the challenges faced by healthcare organisations is explained, the objectives of the research are outlined, and the research methodologies employed are described. Section 2 summarises the key contributions to theory contained within the submitted papers. Section 3 provides a justification and explanation of the theoretical perspectives employed in this research. Section 4 provides a summary of each of the submitted papers together with a commentary on the contribution that the paper makes. The work is presented in a sequence that best explains the conceptual logic rather than a chronological overview. Section 5 discusses and evaluates these papers with a critical perspective. The final section contains concluding comments and presents a framework of demand and capacity management in healthcare.
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George, E. D. "Decision-support algorithms for biopharmaceutical portfolio & capacity management." Thesis, University College London (University of London), 2008. http://discovery.ucl.ac.uk/1444225/.
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Biopharmaceutical drug development is risky, lengthy, and expensive. Decisions in this delicate process are complicated by constraints on resources such as available capacity and uncertainties that include the risk of clinical failure. Hence, the impact of making sub-optimal decisions in this environment can be severe. Accordingly, this work explores the development of algorithms to support strategic drug development decisions and contains four results sections. Firstly, a decision-support framework based on multi-criteria decision making (MCDM) is presented for assessing options when acquiring biopharmaceutical manufacturing capacity. An example case illustrates the use of this framework where a biopharmaceutical company is faced with options for acquiring commercial manufacturing capacity. The development portfolio consists of three monoclonal antibody drugs at varying stages of clinical development with varying levels of demand. Capacity acquisition options include building in-house capacity, outsourcing, and partnering in addition to some hybrids of these. Deterministic and stochastic analyses showed that building manufacturing capacity ranked highest for the scenario considered when accounting for both financial and operational metrics. Secondly, the development of a stochastic combinatorial multi-objective optimisation framework is presented which confronts the problem of handling the multitude of decisions and trade-offs when designing portfolio management strategies, which results in extremely large decision spaces. The framework is considerate of strategic decisions that include the portfolio composition, the scheduling of critical development and manufacturing activities, and the involvement of third parties for these activities. The framework simulates development and manufacturing alongside the wider commercial environment. Machine learning and evolutionary computation techniques are also harnessed to characterise the conditional and probabilistic structure of superior decisions and evolve strategies to multi-objective optimality. A case study is constructed to derive insight from the framework where results demonstrate that a variety of options exist for formulating nondominated strategies in the objective space considered, giving the manufacturer a range of pursuable options. The most preferred means for development across the set of optimised strategies is to fully integrate development and commercial activities in-house, however, alternatives include partnering during early stages of portfolio development and then coordinating outsourced and in-house activities for remaining drugs. Popular scheduling strategies tend to develop two drugs in close succession while spacing out the remaining drug development activities into longer time frames. Thirdly, this framework is expanded to explore the impact of the size of biopharmaceutical drug development portfolio and cash flow constraints on algorithmically formulated strategies. Illustrative examples suggest that naively applying strategies optimal for a particular size of portfolio to a portfolio of another size is inappropriate. Also, the size of the portfolio appears to have a larger impact on strategy than the magnitude of cash flow constraint. Fourthly and finally, the economics of biopharmaceutical manufacture are explored with the aim of developing equations that can estimate the cost of manufacturing for both monoclonal antibodies and antibody fragments using mammalian cell culture and bacterial fermentation respectively. The correlations, derived using multiple linear regression, allow the cost of goods to be estimated given the following inputs: the required annual output, fermentation titre, whole process yield, and the probability of achieving a successful batch.
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Merzifonluoglu, Yasemin. "Optimization models for integrated production, capacity and revenue management." [Gainesville, Fla.] : University of Florida, 2006. http://purl.fcla.edu/fcla/etd/UFE0015637.
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Ruci, Xhesika. "Capacity Management in Hyper-Scale Datacenters using Predictive Modelling." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-72487.
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Big data applications have become increasingly popular with the emerge of cloud computing and the explosion of artificial intelligence. Hence, the increasing adoption of data-hungry machines and services is driving the need for more power to keep the datacenters of the world running. It has become crucial for large IT companies such as Google, Facebook, Amazon etc. to monitor the energy efficiency of their datacenters’ facilities and take actions on optimization of these heavy consumers of electricity. This master thesis work proposes several predictive models to forecast PUE (Power Usage Effectiveness), regarded as the industry-de-facto metric for measuring datacenter’s IT power efficiency. This approach is a novel capacity management technique to predict and monitor the environment in order to prevent future disastrous events, which are strictly unacceptable in datacenter’s business.
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Earl, Cameron Phillip. "Public health management at outdoor music festivals." Thesis, Queensland University of Technology, 2006. https://eprints.qut.edu.au/16235/1/Cameron_Earl_Thesis.pdf.
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Background Information: Outdoor music festivals (OMFs) are complex events to organise with many exceeding the population of a small city. Minimising public health impacts at these events is important with improved event planning and management seen as the best method to achieve this. Key players in improving public health outcomes include the environmental health practitioners (EHPs) working within local government authorities (LGAs) that regulate OMFs and volunteer organisations with an investment in volunteer staff working at events. In order to have a positive impact there is a need for more evidence and to date there has been limited research undertaken in this area.
The research aim: The aim of this research program was to enhance event planning and management at OMFs and add to the body of knowledge on volunteers, crowd safety and quality event planning for OMFs. This aim was formulated by the following objectives.
1.To investigate the capacity of volunteers working at OMFs to successfully contribute to public health and emergency management;
2.To identify the key factors that can be used to improve public health management at OMFs; and
3.To identify priority concerns and influential factors that are most likely to have an impact on crowd behaviour and safety for patrons attending OMFs.
Methods: This research program has involved a series of five exploratory research studies exploring two main themes within public health management for OMFs, event planning capacity and volunteer capacity. Four studies used a cross-sectional design and survey methodology to collect self-report data from each cohort while the remaining study utilised case methods.
The study participants were recruited from Australian and European OMFs. For volunteer capacity, data have been collected from volunteers at two internationally recognised OMFs. One had formal training for their volunteers and the other did not. For planning capacity, data have been collected on consumer concerns regarding OMFs, priority factors that influence crowd behaviour and safety and leadership in event planning.
Results (volunteer capacity): The first studies assessed the public health and emergency management capacity of volunteers working at two OMFs. Volunteer training was provided at one event but not at the other. Comparatively, the participants from the OMF where training was provided reported noticeably better awareness of and involvement in public health and emergency management at that event. Additionally, this awareness was improved with experience volunteering at the study festivals. These studies highlighted the benefits of volunteer training and retention.
Results (event planning capacity): The next three studies focused on event planning capacity with the first being a case study on event planning leadership. The purpose of this study was to demonstrate that the event licensing programs managed by LGAs could improve health outcomes for OMFs. A European OMF, the Glastonbury Festival, was chosen for this study. After problems in 2000, it was highly likely that the event would never be held again unless public health and safety was improved. This study documents the progression from that 2000 event through to the 2004 event that was considered the safest event yet. The LGA EHPs working through the event licensing programs had engineered these changes.
The next study focused on consumer priority concerns associated with attending OMFs. A wide range of public health issues were identified as high concern including access to drinking water, toilets, safe food and personal protection issues such as females being grabbed or losing valuables. Safety in the mosh pit was a particular concern for almost half of the participants in the study. Also mosh pit safety was identified with other concerns such as females being grabbed, needing first aid, being struck by thrown items, crowd sizes, losing valuables and alcohol-related behaviour. Making safety in the mosh pit the most important public health issue for these study participants.
The final study focused on identifying the main influences on crowd behaviour and safety at OMFs, particularly mosh pits. This study follows on from the consumer study. The study participants were skilled event security guards, specialising in OMFs and considered the performers, the music and group mentality as the most common motivators for changes in mosh pit behaviour. They also considered that generally (1) crowd composition, (2) drugs and particularly alcohol, (3) the type of performance, (4) venue configuration, and (5) activities of security staff were highly influential on crowd behaviour and safety at OMFs.
Conclusion: Results from this research program have added to the body of evidence on public health management for OMFs. Findings support capacity building and retention for volunteer staff working at OMFs. Also this research has provided evidence on quality event planning, crowd behaviour and safety that can support EHPs working with OMFs. All of these studies have been published in peer-reviewed journals in order to communicate these findings to volunteer organisations and EHPs involved with OMFs.
Where to from here? There remains considerable opportunity for research on a variety of topics related to public health management for OMFs. Some specific areas where further work is recommended are:
othe development and evaluation of a pilot training program (web-based) for Australian volunteers working at OMFs (this training package is currently under development);
othe development of a national code of practice for the event management industry;
oresearch into festival patrons' risk perceptions and the impacts of those choices;
oevaluation of the planning and management approaches used by specific OMFs; and
oadditional detailed investigations of event characteristics such as crowd mood and its impacts on public health safety at OMFs.
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Earl, Cameron Phillip. "Public health management at outdoor music festivals." Queensland University of Technology, 2006. http://eprints.qut.edu.au/16235/.
Full textAbstract:
Background Information: Outdoor music festivals (OMFs) are complex events to organise with many exceeding the population of a small city. Minimising public health impacts at these events is important with improved event planning and management seen as the best method to achieve this. Key players in improving public health outcomes include the environmental health practitioners (EHPs) working within local government authorities (LGAs) that regulate OMFs and volunteer organisations with an investment in volunteer staff working at events. In order to have a positive impact there is a need for more evidence and to date there has been limited research undertaken in this area. The research aim: The aim of this research program was to enhance event planning and management at OMFs and add to the body of knowledge on volunteers, crowd safety and quality event planning for OMFs. This aim was formulated by the following objectives. 1.To investigate the capacity of volunteers working at OMFs to successfully contribute to public health and emergency management; 2.To identify the key factors that can be used to improve public health management at OMFs; and 3.To identify priority concerns and influential factors that are most likely to have an impact on crowd behaviour and safety for patrons attending OMFs. Methods: This research program has involved a series of five exploratory research studies exploring two main themes within public health management for OMFs, event planning capacity and volunteer capacity. Four studies used a cross-sectional design and survey methodology to collect self-report data from each cohort while the remaining study utilised case methods. The study participants were recruited from Australian and European OMFs. For volunteer capacity, data have been collected from volunteers at two internationally recognised OMFs. One had formal training for their volunteers and the other did not. For planning capacity, data have been collected on consumer concerns regarding OMFs, priority factors that influence crowd behaviour and safety and leadership in event planning. Results (volunteer capacity): The first studies assessed the public health and emergency management capacity of volunteers working at two OMFs. Volunteer training was provided at one event but not at the other. Comparatively, the participants from the OMF where training was provided reported noticeably better awareness of and involvement in public health and emergency management at that event. Additionally, this awareness was improved with experience volunteering at the study festivals. These studies highlighted the benefits of volunteer training and retention. Results (event planning capacity): The next three studies focused on event planning capacity with the first being a case study on event planning leadership. The purpose of this study was to demonstrate that the event licensing programs managed by LGAs could improve health outcomes for OMFs. A European OMF, the Glastonbury Festival, was chosen for this study. After problems in 2000, it was highly likely that the event would never be held again unless public health and safety was improved. This study documents the progression from that 2000 event through to the 2004 event that was considered the safest event yet. The LGA EHPs working through the event licensing programs had engineered these changes. The next study focused on consumer priority concerns associated with attending OMFs. A wide range of public health issues were identified as high concern including access to drinking water, toilets, safe food and personal protection issues such as females being grabbed or losing valuables. Safety in the mosh pit was a particular concern for almost half of the participants in the study. Also mosh pit safety was identified with other concerns such as females being grabbed, needing first aid, being struck by thrown items, crowd sizes, losing valuables and alcohol-related behaviour. Making safety in the mosh pit the most important public health issue for these study participants. The final study focused on identifying the main influences on crowd behaviour and safety at OMFs, particularly mosh pits. This study follows on from the consumer study. The study participants were skilled event security guards, specialising in OMFs and considered the performers, the music and group mentality as the most common motivators for changes in mosh pit behaviour. They also considered that generally (1) crowd composition, (2) drugs and particularly alcohol, (3) the type of performance, (4) venue configuration, and (5) activities of security staff were highly influential on crowd behaviour and safety at OMFs. Conclusion: Results from this research program have added to the body of evidence on public health management for OMFs. Findings support capacity building and retention for volunteer staff working at OMFs. Also this research has provided evidence on quality event planning, crowd behaviour and safety that can support EHPs working with OMFs. All of these studies have been published in peer-reviewed journals in order to communicate these findings to volunteer organisations and EHPs involved with OMFs. Where to from here? There remains considerable opportunity for research on a variety of topics related to public health management for OMFs. Some specific areas where further work is recommended are: othe development and evaluation of a pilot training program (web-based) for Australian volunteers working at OMFs (this training package is currently under development); othe development of a national code of practice for the event management industry; oresearch into festival patrons' risk perceptions and the impacts of those choices; oevaluation of the planning and management approaches used by specific OMFs; and oadditional detailed investigations of event characteristics such as crowd mood and its impacts on public health safety at OMFs.
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Dennis, Lynda. "DETERMINANTS OF FINANCIAL CONDITION: A STUDY OF U.S. CITIES." Doctoral diss., University of Central Florida, 2004. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2855.
Full textAbstract:
How well a local government is able to provide for the needs and preferences of its citizens generally depends on the financial resources available; and, how such resources are allocated, distributed, and managed. Demographics, size of local government, supply and age of infrastructure, financial position of the government, and the local economy represent a few of the factors affecting what public goods and services citizens prefer. Internal systems of accounting and control affect the allocation, distribution, and management of financial resources. As such, these internal systems significantly affect the provision of public goods and services. The research outlined in this study examined the relationship between a government's financial management capacity (independent variable) and its financial condition (dependent variable), while controlling for environmental factors related to governance and demographics. Financial condition was quantitatively measured using financial ratios calculated from a database of over 1,600 U.S. cities compiled by the Government Finance Officers Association. Financial management capacity and its relationship to financial condition were measured with a survey of the chief financial officers of almost 500 of the sample cities. This research was exploratory in nature as there is little empirical evidence with respect to financial management capacity or its relationship to overall financial condition. In this study certain statistically significant moderate correlations were found with respect to financial condition and financial management capacity. However, multiple regression analysis of financial condition and financial management capacity (controlling for governance and socio-economic factors), indicated no statistically significant relationship between them as conceptualized and operationalized for this study. When controlling for certain governance and socio-economic factors, annual limits on increases in assessed property valuations and population were found to be statistically significant with respect to financial condition. Additionally, these control variables increased and decreased financial condition, respectively. A major contribution made to the literature by this study lies in its attempt to establish an empirical relationship between financial management capacity and government performance as measured by financial condition. Based on existing literature as reviewed by this researcher, the testing of this relationship had not been done previously. This study defined and measured both financial management capacity and financial condition in dimensions and indicators that can be used in future research. Additionally, efforts were made to test the internal reliability of both measures. The results of this research indicated there are a number of other financial management capacity and environmental factors influencing financial condition beyond those identified in this study. This research also provided insight regarding the extent financial management capacity affects financial condition even though such relationships were not found to be statistically significant. Because no statistically significant relationships between financial condition and financial management capacity were found in this study, additional research is necessary to further explore this relationship as well as the correlation between the various indicators of these concepts.Ph.D.
Department of Public Administration
Health and Public Affairs
Public Affairs: Ph.D.
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Halaby, Aceil. "Forecasting collaboration capacity by driving output in product teams." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/113514.
Full textAbstract:
Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, 2017.Cataloged from PDF version of thesis.
Includes bibliographical references (page 95).
It is no doubt that globalization and free trade have brought competitive advantages of Innovation Driven Enterprises (I.D.E.s) to new levels. More specifically, managers are focused on improving and maximizing team collaboration to both increase capacity and utilization of their in-house talent and optimize company throughput and output. It has long been argued that performance and output are attributed to leadership, management and/or recruiting. However, new management and cognitive theories argue that optimizing output and team performance is now more of a science rather than just a conventional wisdom; conceiving a winning team now involves both predictive and nurturing responsibilities. This applies to all fields be it military, product development, medical, business, engineering and others to name a few. This thesis focuses on the new field of Integrated Design Management whereby multidisciplinary, innovative engines or product development teams are becoming essential entities for entrepreneurial survival and versatility during economic uncertainty. How can a product designer, an engineer and a businessman work together efficiently'? What makes the team perform better? Are there any rules for engagement or does skill lead output? How are people selected as part of a team? This thesis argues that creating an optimal product team should not be a stroke of luck but rather the result of applying new management sciences and team dynamics to better recruit and build for collaboration in today's fast-changing and competitive world. I believe that studying the correlation between three variables: compassion, collective intelligence and output in Integrated Design Management (I.D.M.) teams can lead to positive inferences relating to team formation and competitive work cultures. Through methods of measuring the latter variables in addition to observing product team habits and recording interviews with individuals enrolled in the I.D.M. program at MIT, the following thesis maps predictive variables across a system for nurturing successful team collaboration and output. The model constructed to forecast product team output, produced an r2 of 0.57, setting a benchmark for future models. This research also provides a template for future applications across multiple industries aimed at conceiving more collaborative teams with exceptional skills whose members may have been more comfortable working in isolation at the expense of creativity and efficiency.
by Aceil Halaby.
S.M. in Engineering and Management
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Yang, Shu-Jung Sunny The University of New South Wales Australian Graduate School of Management UNSW. "Investment strategies for capacity expansion." Awarded by:The University of New South Wales. Australian Graduate School of Management, 2007. http://handle.unsw.edu.au/1959.4/30158.
Full textAbstract:
This thesis addresses a problem at the nexus of operations, strategy, and economics: in concentrated markets, on the one hand firms may need to expand capacity in order to improve their competitive position, and on the other they also seek to avoid industry excess capacity causing poor industry conditions to destroy the intended value creation. These considerations are opposite to each other. Too much capacity leads to underutilized resources and drives costs up. In contrast, too little capacity will limit the operation's capability to serve customers and earn revenues. The literature of the operations management and operations research fields on capacity expansion is concerned with normative perspectives to invoke optimization techniques. In this stream of research, competitive capacity expansion is not extensive. Operations related studies often ignore the effect of oligopolistic competition on investment activities but explicitly model practical operational environments. Conversely, the literature of the industrial organization and business strategy fields on strategic investment focuses on quantity/pricing competition in oligopoly markets, and is concerned with descriptive perspectives to invoke game-theoretic modeling, emphasizing the effect of imperfect competition. There is an extensive literature of economics on a subject of capacity investment in oligopolistic competition environments. However, economics-related studies do not often address the detailed operational environments. The thesis focuses on the following five complicated factors affecting the union of operations, strategy, and economics: existing capacity, economies of scale, realistic production strategy, strategic interaction, and demand uncertainty. We make two main contributions. First, we extend the current game-theoretic models of strategic capacity investment by explicitly considering existing capacity, scale economies, and realistic production rules, which are often considered in the operations literature. Under reasonable conditions, we are able to solve the proposed models in closed form. Our second contribution is to use the type of generic strategy as firms' decision variable rather than quantity, price, or timing, which is often used in oligopoly theory. After analyzing equilibrium behaviors in the proposed models, our findings are supported by many empirical observations.
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Toothman, Melisa I. "Management capacity and teacher satisfaction in private juvenile justice facilities." [Gainesville, Fla.] : University of Florida, 2006. http://purl.fcla.edu/fcla/etd/UFE0015887.
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Dai, Tinglong. "Inventory management in the face of a limited storage capacity /." View abstract or full-text, 2006. http://library.ust.hk/cgi/db/thesis.pl?IELM%202006%20DAI.
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Erramilli, Bala Prasad. "Disaster Management in India: Analysis of Factors Impacting Capacity Building." Digital Archive @ GSU, 2008. http://digitalarchive.gsu.edu/political_science_diss/15.
Full textAbstract:
Governments are responsible for administrative arrangements dealing with disasters. Effective policies play a vital role in mitigating the impact of disasters and reducing likely losses of life and property. Yet, it had been noted that such losses were increasing, raising questions about efficacy of government policies and the factors that made them effective. This study adopted a comparative method, responding to a long-standing demand of disaster research, for examining the record in India. There were noticeable differences among its states, with some having undertaken comprehensive reform in an all-hazards approach, while others continued with old policies. This research studied four states with the objective of identifying variables that were critical in undertaking policy reform for building capacities. The roles of economic resources, democratically decentralized institutions, political party systems and focusing events were examined. Findings revealed that these factors had varying impact on state capabilities. Economic resources were an inevitable part of disaster management, but did not necessarily translate into policy reform. Panchayati Raj Institutions, which were democratically decentralized bodies, displayed tremendous potential. However, their role was limited mostly to the response phase, with states severely circumscribing their involvement. The nature of political party systems was able to explain policy reform to an extent. Cohesive systems in Gujarat, Tamil Nadu and Orissa correlated with administrative capacities, unlike in fragmented Bihar. However, anti-incumbency sentiments and strong community mobilization impacted contestation more than electoral salience of public goods. The most nuanced and significant explanation was provided by experience of focusing events. States that suffered major disasters revealed unmistakable evidence of double-loop learning, leading to comprehensive policy reform and capacity building. This research provides empirical support to theory about the role of focusing events and organizational learning in policy reform. Methodologically, it underscores the importance of the comparative approach, and its successful application in a federal framework. The significance of this research is most for policy makers and practitioners, as it serves to alert them on the need for reform without waiting for the next big disaster to catch them unprepared.
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Hoffmann, Rainer [Verfasser]. "Dynamic Capacity Control in Air Cargo Revenue Management / Rainer Hoffmann." Karlsruhe : KIT Scientific Publishing, 2013. http://www.ksp.kit.edu.
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Thanh, Thuy Tran Thi. "Capacity building for public management reform : the case of Vietnam." Thesis, University of Manchester, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.578286.
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Park, Joongwoo Brian. "Capacity control in network revenue management : clustering and risk-aversion." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/58181.
Full textAbstract:
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.Cataloged from PDF version of thesis.
Includes bibliographical references (p. 53-54).
Network revenue management is the practice of using optimal decision policies to increase revenues by controlling limited quantities of multiple resources' availability and prices over finite time. It is widely practiced in capacity-constrained service industries such as the airlines, hotels, car rentals, and cruise-lines. A variety of control methods has been introduced for network resource capacity control problem. We propose a clustering method to improve approximation quality. By clustering the legs of the network, one can find tighter upperbound than leg-wise decomposition with loss of computation speed due to larger state space. We have shown that there is more than 6% revenue improvement opportunity by finding the right clustering. With local interchange heuristic and generic heuristics, finding a locally optimal clustering can be done in faster time. We also introduce risk-aversion in network revenue management. We have investigated risk-aversion on network revenue management and also study the impact of risk-aversion parameters in the optimization model on relative revenue-risk performance.
by Joongwoo Brian Park.
S.M.
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Walker, David M. B. A. Massachusetts Institute of Technology. "Capacity planning and change management in an aerospace overhaul cell." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/81024.
Full textAbstract:
Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; in conjunction with the Leaders for Global Operations Program at MIT, 2013.Cataloged from PDF version of thesis.
Includes bibliographical references (p. 151-153).
Purpose - This thesis analyzes the transformation of the Small Components Cell in Pratt & Whitney's aftermarket division through lean manufacturing techniques. The thesis focuses on use of a labor capacity planning model, implementation of a new cell layout, and queuing theory. The project was 6.5 months long, running from June through December of 2012. Findings - In Chapter 4, the capacity planning model shows that demand changes significantly affect cell performance but that the product mix in the cell is even more crucial. The model highlights the best workforce allocations based on a given product mix or demand level. This analysis is expanded in a design of experiment that shows improving employee efficiency is the most effective means of expanding the capacity of the Small Components Cell. Four factors (employee efficiency, absenteeism, overtime, and the duration of employee breaks) have a significant effect on the ultimate capacity of the cell. The design of experiment allows the capacity planning model to be a useful predictive tool. The transformation of the cell into a lean manufacturing flow line requires a significant investment in change management process, including a focus on the logistical details of transformation, continual reinforcement of the vision with the team, and cross-training the workforce. The transformation resulted in a 94% reduction in non-value added part travel, a 72% reduction in flow reversals in the cell, and a 43% reduction in cell exits. Customer satisfaction metrics increase throughout the course of the project as well. Annualized EBIT performance improved by over 40% over the six months of the project, while the costs associated with reworking errors declined by more than 85%. However, on-time delivery of parts to customers failed to meet expectations because of the physical restructuring of the cell and a three month spike in demand which adversely effected cell capacity. Chapter 5 outlines the changes in business metrics, while Chapter 6 discusses recommendations and lessons learned.
by David Walker.
S.M.
M.B.A.
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Macmillan, Michael Reed. "Network methods for inventory management in capacity constrained retail stores." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/104395.
Full textAbstract:
Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2016. In conjunction with the Leaders for Global Operations Program at MIT.Thesis: S.M. in Engineering Systems, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, 2016. In conjunction with the Leaders for Global Operations Program at MIT.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 81-82).
Zara leads the fast-fashion industry introducing over 12,000 unique items per year [5], selling in over 2,000 stores and generating rch16091 [British pound symbol]11.6 Bn in yearly sales [8]. Critical to this success, Zara's Distribution Department continually focuses on improving the algorithms and programs which the company uses to move clothing through the supply chain. Demand variability and short product lifecycles make this task extremely challenging, especially when coupled with limited storage space in many Zara stores. This thesis helps stores which are challenged by low storage capacity and high consumer demand by testing three inventory management methods. The first method creates a virtual cost in the inventory redistribution algorithm, which decreases the likelihood that an over-capacity store will hold an item. This method decreased the amount of post transfer inventory by 15 % in capacity constrained stores while only experiencing a .1% loss of profits when compared to the current process. The second method opens new transfer routes for capacity constrained stores to move inventory into stores which benefit from the additional items, while reducing the non-performing stock at the capacity constrained store. These store to store routes quickly transfer items while reducing the stock of the origin store. The final method improves existing capacity returns, which automatically move inventory from capacity constrained stores back to the Distribution Center. The new method optimizes the selection of items to improve redistribution to other stores, resulting in additional full priced sales, while removing the same amount of items from the origin store. The implementation of these processes will reduce stock management problems experienced at Zara stores, while ensuring that other stores have the opportunity to sell at full price.
by Michael Reed Macmillan.
M.B.A.
S.M. in Engineering Systems
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Tiwari, Vikram. "Information sharing and coordinated capacity management in service delivery networks." [Bloomington, Ind.] : Indiana University, 2008. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3331249.
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Thesis (Ph.D.)--Indiana University, Kelley School of Business, 2008.Title from PDF t.p. (viewed on Jul 23, 2009). Source: Dissertation Abstracts International, Volume: 69-11, Section: A, page: 4414. Advisers: Kurt M. Bretthauer; Munirpallam A. Venkataramanan.
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Hou, Yanting. "Airline network revenue management : integrated optimization of hub location and capacity allocation." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLE030.
Full textAbstract:
La gestion des revenus d’un réseau de compagnies aériennes, un des problèmes le plus critiques dans le secteur du transport aérien, a reçu une attention significative depuis ces dernière décennies. Cependant, de nombreuses problématiques doivent encore être traitées. Cette thèse étudie quatre nouveaux problèmes de la gestion des revenus dans un réseau de compagnies aériennes. D'abord, un problème de dimensionnement de capacité du réseau avec alliances concurrentes est étudié. Dans ce problème, les concurrences horizontales et verticales sont considérées et la demande est supposée déterministe. L’objectif est de maximiser les revenus globaux de l’alliance en déterminant la capacité (en nombre de places) dans les vols pour chaque classe tarifaire de chaque compagnie. Le problème est formulé en programmation linéaire en nombres entiers et résolu à l’aide du solveur CPLEX. Deuxièmement, un problème intégrant la localisation de p-hub médian et le dimensionnement des capacités (places) est étudié pour maximiser une combinaison du bénéfice moyen et du bénéfice au pire cas. Pour ce problème, un seul hub à capacité illimitée est considéré. De plus, les incertitudes sur la demande sont représentées à l’aide d’un ensemble fini des scénarios. Le problème est formulé en programmation stochastique à deux étapes. Ensuite, un algorithme génétique (GA) est proposé pour résoudre le problème pour chaque scénario. Les résultats numériques montrent que la méthode est meilleure que celles dans la littérature qui considèrent uniquement le bénéfice moyen. Le troisième problème étudié est une extension naturelle du deuxième dans lequel la capacité de hub à localiser est limitée et les perturbations qui peuvent impacter la capacité du hub, telles que des conditions météorologiques, sont prises en compte. Deux formulations du problème sont proposées : (1) une programmation stochastique à deux étapes sur la base des scénarios, et (2) optimisation hybride de programmation stochastique à deux étapes à l’aide de pondération. Ensuite, l’approximation moyenne par échantillonnage (SAA) et le GA sont appliqués pour résoudre le problème, respectivement. Les résultats numériques montrent que la SAA est plus performante que le GA. Le quatrième problème est aussi une extension du deuxième problème où la compagnie aérienne doit respecter le niveau d'émissions de CO2 imposé. Le problème est modélisé en programmation stochastique à deux étapes sur la base des scénarios. De plus, une méthode SAA est proposée pour sa résolutionAs one of critical problems in aviation industry, airline network revenue management has received significant attention in recent decades. However, many issues still need to be addressed. This thesis investigates four new airline network revenue management problems. Firstly, a network capacity allocation problem with competitive alliances is studied. In this problem, horizontal and vertical competitions and deterministic demand are considered. The aim is to maximize the global alliance revenue by determining the (seat) capacities in flights for each fare class of each airline. The problem is formulated into a mixed integer programming and is solved by a commercial solver CPLEX. Secondly, an integrated p-hub median location and (seat) capacity allocation problem is investigated to maximize the combined average-case and worst-case profits of an airline. For this problem, an uncapacitated hub is considered and uncertain demand is represented by a finite set of scenarios. The studied problem is formulated based on a two-stage stochastic programming framework. Then a Genetic Algorithm (GA) is proposed to solve the problem for each scenario. Computational results show that the proposed method outperforms those in the literature only considering average-case profit. The third studied problem is a generalization of the second one in which the capacity of hub to be located is limited and disruptions which can impact airline hub capacity, such as adverse weather, are considered. Two formulations of the problem are proposed based on : (1) a scenario-based two-stage stochastic programming, and (2) a weight-based hybrid two-stage stochastic programming-robust optimization framework. Then a Sample Average Approximation (SAA) method and a GA are applied to solve them, respectively. Computational results show that the SAA is more effective than the GA. The fourth problem is also an extension of the second one where an airline is subjected to a CO2 emission limit. The problem is modeled into a scenario-based two-stage stochastic programming. And a SAA method is proposed to solve it
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Becher, Michael. "Integrated capacity and price control in revenue management : a fuzzy system approach /." Wiesbaden : Gabler, 2008. http://sfx.ethz.ch/sfx_locater?sid=ALEPH:EBI01&genre=book&isbn=9783834996503&id=doi:10.1007/978-3-8349-9650-3.
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Athaide, Christopher. "Capacity allocation and safety stocks in manufacturing systems." Thesis, Massachusetts Institute of Technology, 1992. http://hdl.handle.net/1721.1/13084.
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Rashman, Lyndsay Jane. "Organizational knowledge and capacity for service improvement in UK public organizations." Thesis, University of Warwick, 2008. http://wrap.warwick.ac.uk/1062/.
Full textAbstract:
This is a study on organizational knowledge and capacity, with a particular focus on how learning takes place and how capacity can be developed to improve public service organizations. It has wider implications for how we think about learning in all types of organization. The study adds theoretically and empirically to the limited literature that addresses organizational capacity in public organizations. It examines explanations of capacity that may be associated with better performing local authorities and organizational sharing of knowledge and service improvement. The research design and methodology incorporate a conceptual framework and an empirical measurement instrument designed to investigate factors that explain organizational capacity. A longitudinal, quantitative survey of the population level of all 388 English local authorities examined comparisons of organizational capacity between better performing and lower performing councils. The findings provide empirical evidence of the relationship between better performing organizations and greater organizational capacity. Those organizations with greater capacity for learning can draw on prior knowledge to increase their current capacity. Capacity contributes to explanations of the relationship between an organization’s particular environment, and utilization of its internal potential, including organizational knowledge, for future performance. The study concludes with a reformulated definition of organizational capacity. It also finds that capacity building derives from different perspectives and is conceptually different from organizational capacity. It draws attention to the importance of context for organizational studies, and calls for definitions and operational measures that are suitable for all sectors.
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Mikhailava, Iryna. "Absorptive capacity : towards a practice-based view." Thesis, Lancaster University, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.654940.
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Schmidt, Henning. "Simultaneous control of demand and supply in revenue management with flexible capacity." Clausthal-Zellerfeld Papierflieger, 2009. http://d-nb.info/993813461/04.
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Tomlin, Brian T. (Brian Thomas) 1970. "Supply chain design : capacity, flexibility and wholesale price strategies." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/9138.
Full textAbstract:
Thesis (Ph.D.)--Massachusetts Institute of Technology, Sloan School of Management, 2000.Includes bibliographical references (p. 265-267).
Increasing recognition is being placed, both in industry and in academia, on effective supply chain management. The term supply chain management presupposes that there exists a supply chain to be managed. With a focus on supply chains in which demand uncertainty is the key challenge, this dissertation develops strategies and models to aid in the design of certain supply chain features, namely capacity, flexibility and wholesale price schedules. Firstly, this dissertation studies capacity investments in single-product supply chains in which the participants make investments to maximize their individual expected profits. Using a stylized game theoretic model of a supply chain comprising a supplier and a manufacturer, simple non-linear wholesale price schedules, whether they be quantity premium or quantity discount schedules, are shown to outperform simple linear schedules in terms of the total supply chain profit achieved. While the model is stylized, it provides insight into how actual wholesale price schedules can be structured to induce near optimal supply chain capacity investments. Next, this dissertation then extends the work of Jordan and Graves (1995) so as to develop process flexibility strategies for multiple-product multiple-stage supply chains. The ability of multiple-stage supply chains to fill product demands is shown to be affected by two inefficiencies, termed stage-spanning bottlenecks and floating bottlenecks, that do not affect single-stage supply chains. Flexibility configurations differ in the protection they provide against these inefficiencies. The chaining strategy of Jordan and Graves (1995), with augmentation if either the number of stages or number of products is large, is shown to provide a high degree of protection and therefore to enable multiple-stage supply chains to better meet demand. Finally, this dissertation studies the capacity decision in multiple-product multiplestage supply chains. Solution approaches to the capacity investment problem in which there is either an expected shortfall bound or a service level bound are developed. The service level problem, while widely studied in inventory theory, has not been studied in the multiple-product multiple-stage supply chain capacity literature to date. In addition to developing solution approaches, insights into the optimal capacity decisions in multiple-product multiple-stage supply chains are provided.
by Brian T. Tomlin.
Ph.D.
48
Busa, Federica. "Regional innovative capacity in Italy : social and economic forces." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/29718.
Full textAbstract:
Thesis (S.M.M.O.T.)--Massachusetts Institute of Technology, Sloan School of Management, Management of Technology Program, 2003.Includes bibliographical references (leaves 70-73).
The notion of clustering, defined as the localized value-creating system that comprises complementary firms, universities, investors and other private or public institutions, has become of critical importance for regional innovation policies. This thesis explores regional innovative capacity in Italy, where industrial districts or clusters of small and medium enterprises (SMEs) have represented a strong economic force responsible for the country's economic vitality and growth. In order to respond to the changing global economic environment, that is challenging Italian regional clusters to achieve sustainable growth, a new notion of meta-cluster has recently emerged. Metaclusters extend the traditional definition to encompass the entire value chain of an industrial cluster. The thesis argues that the notion of meta-clusters is key to the future innovative activities, given the nature of relations between government, university and industry in Italy, the underlying fabric of the country's economic system and a number of case studies of SMEs. Meta-clusters will not involve improbable developments in new technologies disconnected from the local resources, but rather will leverage and enhance existing value chains through new process, technologies and innovation strategies. Part of the argument assumes a prominent role of regional institutions, as the catalysts for innovation upgrades, and of financial intermediaries, as the glue in the development of stronger relationships between industry, government and universities.
by Federica Busa.
S.M.M.O.T.
49
Luo, Sifo. "Capacity planning under demand and manufacturing uncertainty for biologics." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/112865.
Full textAbstract:
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 58).
Due to the long lead times and complexity in drug development and approval processes, pharmaceutical companies use long range planning to plan their production for the next 10 years. Capacity planning is largely driven by the long-term demand and its forecast uncertainty. The impact of uncertainties at manufacturing level, such as factory productivity and production success rate, are not entirely taken into account since only the average values of each manufacturing parameter are used. Can we better allocate production among manufacturing facilities when both demand and manufacturing uncertainties are considered? In this thesis a stochastic optimization approach is followed to minimize the deviation from target capacity limit under different manufacturing and demand scenarios. The mixed integer linear model incorporates the impact of demand and manufacturing variation on production allocation among manufacturing facilities through Monte Carlo generated scenarios. The thesis model is designed in a way that can be used as a decision tool to perform robust capacity planning at the strategic level.
by Sifo Luo.
M. Eng. in Supply Chain Management
50
Karunasena, G. I. "Capacity building for post disaster waste management : construction and demolition waste." Thesis, University of Salford, 2012. http://usir.salford.ac.uk/38096/.
Full textAbstract:
Though increasing nature of impacts from disasters has made post disaster management a significant area of concern, management of disaster waste is identified as an area of least concern. It presents momentous challenges for those with inadequate capacities due to large volumes and hazardous constituents created, particularly in developing countries. This is equally applicable to Sri Lanka which was severely affected by the Indian Ocean Tsunami in 2004 and from three decades of civil war. In this context, it is vital to explore capacities which need to be enhanced for post disaster waste management. Accordingly, this study focuses on identification of existing capacities of post disaster waste management with special emphasise on Construction and Demolition (C&D) waste at national level entities in Sri Lanka. Disaster C&D waste comprises of waste such as debris generated from totally or partially damaged buildings and infrastructure as a direct impact of disasters or from demolished buildings and infrastructure at rehabilitation or early recovery stages. Literature revealed that after the Indian Ocean Tsunami in 2004, collected disaster waste containing a considerable proportion of C&D waste was not recycled or reused at its optimum capacity in Sri Lanka, instead disposing it at landfill sites. Initially, a literature review and document survey was conducted on capacity building with special emphasise on post disaster waste management to identify capacity building principles, strategies, evaluation measures and challenges, if there are any. Pilot interviews were conducted to identify current post disaster waste management practices in Sri Lanka. Multiple case studies and expert interviews were subsequently conducted to gather primary data on existing capacities of post disaster waste management in Sri Lanka. Three case studies which included fourteen individuals and seven experts representing government and non governmental organisations and other sector entities were selected for data collection. Semi-structured interviews were conducted as the main data collection method and code based analysis and cognitive mapping were used to analyse collected data. Results revealed existing capacities, capacity gaps and factors affecting capacity building for post disaster waste management including: skills and confidence building, links and collaborations, continuity and sustainability, research and development, communication and coordination, organisational implementations and investments in infrastructure. Approaches for enhancing capacities in post disaster waste management were identified. They include establishment of a regulatory body and enforceable rules and regulations, promotion of holistic approaches for training and development focussing on indigenous and sustainable methods, development of formal and transparent procedures to establish linkages and collaborations, create awareness on sustainable, environmentally friendly and culturally supportive techniques on disaster waste management. These approaches were identified with the aim to contribute towards achieving sustainable post disaster C&D waste management.