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Yoshioka, Kenji S. M. Massachusetts Institute of Technology. "Strategic vision toward the next-generation telecom industry." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/59148.
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Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, 2010.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 111).<br>Telecommunication industry is experiencing volatile change in technology and business model. Every telecom company needs strategy that gives direction through rapidly shifting environment. NTT, Japanese telecom giant is not exception. In this thesis, Delta model is utilized to obtain strategy that leads effective management and operation of future NTT. Another objective of this thesis is to understand the effect of different strategic bias and finding way to overcome difficulty of distinction between strategic opinions. Although Delta model is containing theoretical essence from all strategic fields, it has focus on rational planning and positioning view. This results some difficulty to apply Delta model for NTT that recently biased by emergent strategic view through experiences of continuous fight against threat from emerging new technologies and services. To fill this gap, alternative theories of Disruptive Technology, Invisible Asset, Overextension, and Organizational Knowledge Creation are applied in combination with Delta model and examined. Through experimental mixture of Delta model and alternative theories, I obtained NTT's strategic perspective and recommendations for technology development, business globalization, and preparation against future threat.<br>by Kenji Yoshioka.<br>S.M.
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Yamamoto, Naohiko 1961. "Strategies for next-generation fixed line service in Japan." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/17888.
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Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management, 2004.<br>Includes bibliographical references (leaves 91-92).<br>Although Japan had fallen far behind the United States in the extent and sophistication of its IP technology and information/communication industry, today it is beginning to catch up. By May 2003, the number of broadband Internet users in Japan exceeded 10 million, and the shift from narrowband to broadband continues to increase. Japan now enjoys one of the world's best broadband environments in terms of both pricing and speed of offerings. However, the environment for the domestic fixed-line telecommunication business is getting tougher. Demand is down, both in terms of volume and value, as traffic migrates to mobile communication technologies. For NTT's regional carriers, NTT East and NTT West, prospects for sales growth are slim, making cost reductions vital if those companies hope to remain profitable. It is imperative for NTT East and NTT West to expand into the broadband-related business as well as to slash costs further. In this thesis, I analyze industry structure, market trends, and the position of companies within the fixed-line communication industry in Japan. I also identify NTT's strategies for next-generation fixed line services, which I believe can still make a substantial contribution to the industry and to revitalizing the Japanese economy.<br>by Naohiko Yamamoto.<br>M.B.A.
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Vázquez, Ernesto (Vázquez-Sáenez). "Managing conflict across generations in the workplace." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/50103.
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Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, 2009.<br>Includes bibliographical references (p. 75-76).<br>The current American workplace is made up of members of four distinct generations: "Veterans" (born between 1922-1943), "Boomers" (born between 1943-1960), "Generation X" (born between 1960 - 1980), and "Generation Y" (born between 1980 and 2000). Members of each generation bring to the workplace very distinct assumptions regarding technology, expertise, and rewards. This thesis explores the nature of differences in assumptions across all four generations. It takes the two most relevant to the current work environment, Boomers and Generation Y, and analyzes how their different approaches to technology, expertise and rewards cause conflict in the workplace. After conducting a literature review on conflict and change management at work, I propose a process for preventing and mitigating generational conflict at work.<br>by Ernesto Vazquez.<br>S.M.
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Simhadri, Arvind. "Impact of distributed generation of solar photovoltaic (PV) generation on the Massachusetts transmission system." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/98604.
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Thesis: S.M., Massachusetts Institute of Technology, Engineering Systems Division, 2015. In conjunction with the Leaders for Global Operations Program at MIT.<br>Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2015. In conjunction with the Leaders for Global Operations Program at MIT.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 73-76).<br>After reaching 250 megawatt direct current (MW dc) of solar photovoltaic (PV) generation installed in Massachusetts (MA) in 2013, four years ahead of schedule, Governor Deval Patrick in May of 2013 announced an increase in the MA solar PV goal to 1,600 MW by 2020 ([13]). However, integration of such significant quantities of solar PV into the electric power system is potentially going to require changes to the transmission system planning and operations to ensure continued reliability of operation ([14]). The objective of this project is to predict the distribution of solar PV in MA and to develop a simulation framework to analyze the impact of solar generation on the electric power system. To accomplish this objective, we first developed a prediction model for solar PV aggregate and spatial long term distribution. We collected solar PV installation data and electricity consumption data for 2004 to 2014 for each ZIP code in MA. Additional information such as population, land availability, average solar radiance, number of households, and other demographic data per ZIP code was also added to improve the accuracy of the model. For example, ZIP codes with higher solar radiance are more likely to have solar PV installations. By utilizing machine learning methods, we developed a model that incorporates demographic factors and applies a logistic growth model to forecast the capacity of solar PV generation per ZIP code. Next we developed an electrically equivalent model to represent the predicted addition of solar PV on the transmission system. Using this model, we analyzed the impact of solar PV installations on steady-state voltage of the interconnected electric transmission system. We used Siemens PTI's PSS/E software for transmission network modeling and analysis. Additionally, we conducted a sensitivity analysis on scenarios such as peak and light electricity consumption period, different locations of solar PV, and voltage control methods to identify potential reliability concerns. Furthermore, we tested the system reliability in the event of outages of key transmission lines, using N-1 contingency analysis. The analysis identified that the voltage deviation on transmission system because of adding 1,600 MW dc of distributed solar PV is within +/- 5% range. Based on the analysis performed in this thesis, we conclude that the current MA transmission system can operate reliably after the addition of the expected 1,600 MW dc of solar PV. As National Grid acquires information on solar installations, new data will improve the ability and accuracy of the prediction model to predict solar PV capacity and location more accurately. The simulation framework developed in this thesis can be utilized to rerun the analysis to test the robustness of the electric transmission system at a future date.<br>by Arvind Simhadri.<br>S.M.<br>M.B.A.
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Seubert, Richard E. (Richard Eugene). "Alternate methodology for generation and use of key characteristics." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/38194.
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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; and (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, 1996.<br>Includes bibliographical references (p. 96).<br>Hardware variation reduction is an issue of paramount importance to manufacturing companies in their efforts to reduce cycle time and manufacturing costs. Hardware variation leads to increased rework, and decreased levels of customer satisfaction. The Boeing Company, the leading manufacturer of commercial jet aircraft, in the late 1980's and early 1990's introduced two separate programs to address hardware variation. Advanced Quality Systems (AQS) addressed variation in components from suppliers; Hardware Variability Control (HVC) addressed hardware variation internal to Boeing. One of the tools utilized by both AQS and HVC is the use of Key Characteristics. Key Characteristics are defined at Boeing as "Attributes or features of a material, part, assembly, installation or system in which variation from nominal has the most adverse affect upon fit, performance, or service life." Key characteristics are generated by first identifying the features or requirements of the end product which are of primary importance to the customer. These requirements are then "flowed down" through the different layers of the engineering tree and build plan to determine those attributes or features at the assembly, subassembly, or detail part level which play a critical role in delivering the product level customer requirements. This methodology therefore allows Boeing to focus on those elements of the manufacturing process where hardware variation has the most potential for causing a quality loss in customer satisfaction. Recently a new methodology has been developed at The Massachusetts Institute of Technology. This methodology, named herein as the quad key methodology, expands the classifications for key characteristics to include the designations of product key characteristics, assembly key characteristics, manufacturing key characteristics, and Stat key characteristics. This new methodology was applied to the analysis of the lower gate assembly for the forward entry door for the new 737-X model airplane, currently in the product design stage at Boeing. The research showed that the added designations for keys available under the quadkey methodology offered several advantages over that included under HVC. Additional uses for key characteristics are also discussed outside of their application for the reduction of hardware variation.<br>by Richard E. Seubert.<br>S.M.
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Bashir, Yusuf. "Next generation business intelligence software, areas for growth & opportunities for innovation." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/65795.
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Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, 2011.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 54-55).<br>In today's world, as the volume of business and consumer data continues to grow at an unprecedented pace, there is increasing desire to utilize that data in new and innovative and ways to provide insight and improve decision making. For businesses, data is being generated from transactions, machine logs, digital media and feeds from sensors and wireless devices at a volume and velocity not seen before. When combined with data from external sources such as partners, or from the Internet from blogs, social networking sites, YouTube, Facebook and Twitter, it has the capability to provide organizations with new insight, a more holistic picture of customer and stakeholder behavior and new ways of gaining competitive advantage. Consumers are being presented with applications of increasing analytical sophistication, leading to growing comfort in making fact-based decisions. New devices will help monitor energy usage within the home and provide insight on the optimal times to schedule devices and run household appliances. As data volumes continue to grow, systems will need to automate the uncovering of patterns and trends in data if they are to scale. Business Intelligence (BI) software, which has traditionally been used to gain insight from data, will need to evolve and new capabilities developed to support these significant changes. Areas of growth and opportunities for new innovation within the BI software industry will be explored that will enable stakeholders to take full advantage of this new and exciting opportunity.<br>by Yusuf Bashir.<br>S.M.
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Toubia, Olivier 1976. "New approaches to idea generation and consumer input in the product development process." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/17846.
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Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, 2004.<br>"June 2004."<br>Includes bibliographical references.<br>This thesis consists of five related essays which explore new approaches to help design successful and profitable new products. The primary focus is the front end of the process where the product development team is seeking improved input from customers and improved ideas for developing products based on that input. Essay 1 examines whether carefully tailored ideation incentives can improve creative output. The influence of incentives on idea generation is studied using a formal model of the ideation process. A practical, web-based, asynchronous "ideation game" is developed, allowing the implementation and test of various incentive schemes. Using this system, an experiment is run, which demonstrates that incentives do have the capability to improve idea generation, confirms the prediction from the theoretical analysis, and provides additional insight on the mechanisms of ideation. Essay 2 proposes and tests new adaptive question design and estimation algorithms for partial-profile conjoint analysis. The methods are based on the identification and characterization of the set of parameters consistent with a respondent's answers . This feasible set is a polyhedron defined by equality constraints, each paired-comparison question yielding a new constraint. Polyhedral question design attempts to reduce the feasible set of parameters as rapidly as possible. Analytic Center estimation relies on the center of the feasible set. The proposed methods are evaluated relative to established benchmarks using simulations, as well as a field test with 330 respondents. Essay 3 introduces polyhedral methods choice-based conjoint analysis, and generalizes the concept of D-efficiency to individual adaptation. The performance of the methods is evaluated<br>(cont.) using simulations, and an empirical application to the design of executive education programs is described. Essay 4 generalizes the existing polyhedral methods for adaptive choice-based conjoint analysis by taking response error into account in the adaptive design and estimation of choice-based polyhedral questionnaires. The validity of the proposed approach is tested using simulations. Essay 5 studies the impact of Utility Balance on efficiency and bias. A new definition of efficiency (M-efficiency) is also introduced, which recognizes the necessity to match preference questions with the quantities used in the ultimate managerial decisions.<br>by Olivier Toubia.<br>Ph.D.
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Ishii, Makoto M. B. A. Massachusetts Institute of Technology. "A strategic method to establish sustainable platform businesses for next-generation home-network environments." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/37216.
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Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management, 2006.<br>Includes bibliographical references (leaves 147-152).<br>The situation of the consumer electronics industry has become severe due to the rapid growth of digital hardware technology, and sophisticated open source technology. Every product of this industry has become commoditized very rapidly due to the emergence of those technologies, and many firms have been suffering from very thin profitability. Under such severe circumstances, the firms in the high-tech industry that enjoy overwhelming market share, profitability, and sustainability are the firms doing "Platform business," such as Intel and Microsoft, rather than those doing low margin "product selling business." Looking at the great sustainability of those firms, many high-tech firms have aimed to be successful Platform leaders, but to do so is not easy. In this paper, I define key success factors for consumer electronics firms to be able to be profitable and sustainable Platform Leaders, especially focusing on the "home-network platform business" where many high-tech firms have tried to be a dominant design holder.<br>(cont.) I explore how to let a company's own technology and business model become a dominant design in the home-network business, how to establish a successful Platform business with the dominant design, and how to maintain sustainability and high profitability of the Platform business as a Platform leader. Concretely, based on Platform Leadership levers defined by Cusumano and Gawer, I define the Enhanced Platform Leader Model, EPLM, as newly redefined key success factors for being a successful Platform leader, by analyzing past successful and unsuccessful Platform business cases of new home-network businesses. In addition, through proposing an appropriate Platform architecture and other key elements for being a sustainable Platform leader, I propose a new business model for a high potential next-generation home-network business that takes advantage of "intuitive operation" technology, and I also propose appropriate strategies to make the business model successful, using EPLM. The views expressed in this paper are those of the authors and do not reflect those of Sony Corporation.<br>by Makoto Ishii.<br>M.B.A.
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Jensen, Joshua David. "Advancing lean implementation for next generation biomanufacturing operations." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/104306.
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Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2016. In conjunction with the Leaders for Global Operations Program at MIT.<br>Thesis: S.M. in Engineering Systems, Massachusetts Institute of Technology, Department of Mechanical Engineering, 2016. In conjunction with the Leaders for Global Operations Program at MIT.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 56-57).<br>Amgen Singapore Manufacturing (ASM) is a "first of its kind" commercial biomanufacturing site, incorporating myriad innovations including a full scale single-use bioreactor production model. Known internally at Amgen as Next Generation Biomanufacturing, this model will be the future of drug substance manufacturing at Amgen Inc. With the creation of Next Generation Biomanufacturing, significant changes are required within site operations including how Lean principles and methodologies are implemented and utilized in this model. An opportunity had been identified to determine an effective Lean implementation for ASM in order to capitalize on its full potential and set the Lean strategy for future Amgen Next Generation Biomanufacturing sites. This thesis has two primary objectives: documenting how Lean principles are deployed within a biomanufacturing operation and investigating potential opportunities for Lean within Next Generation Biomanufacturing. The first objective documents the methodology and results of the author's efforts in implementing Lean principles at ASM for Amgen while the second objective generates hypotheses on elements that will lead to more effective and efficient Lean implementation for future applications of Amgen's Next Generation Biomanufacturing model. These hypotheses were developed with qualitative research conducted within Amgen Inc. through interviews and surveys with Amgen leadership and staff. The responses from these efforts were assimilated with the use of a Grounded Theory approach and three unique hypotheses were created, summarized as: 1) Lean implementation from the start of operations, 2) Site-wide Lean implementation and 3) Technology enabled Lean implementation. Each of these hypotheses were preliminary validated through a quantitative analysis of a process improvement that involved elements of each hypothesis. The results from the process improvement showcased positive reinforcement from each of the hypotheses, with a quantifiable improvement of the process of over 70%. This thesis provides significant evidence on how biomanufacturing operations can improve the efficiency and efficacy of Lean implementations within to their organizations.<br>by Joshua David Jensen<br>M.B.A.<br>S.M. in Engineering Systems
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Parker, Priya Narayan. "The souls of the one percent : a report on the emerging leaders of the millennial generation." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/76935.
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Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management, 2012.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 66-67).<br>I wanted to conduct a study of the future leaders of Generation Y at the moment in which they wade out into the career marketplace. It is a group of young people, who, because of their high levels of education and demonstrated ambition, will help to guide our common future and perhaps provide a glimpse of what is to come. What kind of world are they going to build? What kind of companies will they manage? What kind of governments will they run? I wanted to explore what moves them, how they make choices about their own futures, and how they think about their personal and public values and ability to make a difference. I wanted to understand what we might expect from our next generation of senators, ambassadors, CEOs, NGO founders, schools chancellors and team owners. For this study, I interviewed 30 Dual Degree students, spanning three different classes across the Harvard Kennedy School, Harvard Business School and the Massachusetts Institute for Technology Sloan School of Management. A series of patterns began to emerge. First, and above all else, the compass of this cohort is ever pointed toward something its members call optionality - which is, in a nutshell, the habit of making choices according to what keeps the most doors open for the longest possible time. Second, the guiding ideology of this cohort is pragmatism over ideology. They have very few sacred cows. They are passionately in favor both of profit and purpose; they imagine working in the public, private and social sectors, and they prefer to transcend the boundaries of their parents' generation and to keep politics out of it. But they also suffer from their pragmatism - from a sense of being unmoored, untethered, with very little but their ambitions to guide them. Third, this cohort is part of a global reimagining of ideal leadership behaviors: a shift from certitude and conviction as the epitome of leading to empathy and the ability to see from multiple perspectives, with all the good and bad that this entails. There is a belief among this cohort that influence increasingly comes from standing behind or on the sidelines, and there is an attraction to informal authority over the formal variety. The most common fear mentioned among this cohort is not having their ideals match their choices and not meeting their potential. They are obsessed with making an impact, but, for the most part, have not yet determined how to make that impact. They are a risk-averse cohort, highly self-aware and tend to look to one another for guidance and advice. And, finally, there is an anxiety among this cohort that, given their education, their resources and their safety nets, if they don't take bigger risks to make an impact in the world, it's not clear who will.<br>by Priya Narayan Parker.<br>M.B.A.
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Aoshima, Yaichi. "Knowledge transfer across generations : the impact on product development performance in the automobile industry." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/11179.
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Xu, Lin 1964 May 1. "Resources and capabilities in high-tech enterpreneurship : a study of two generations of Chinese startups." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/8433.
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Thesis (Ph.D.)--Massachusetts Institute of Technology, Sloan School of Management, 2002.<br>Includes bibliographical references (p. 292-301).<br>By examining the origin and growth dynamics of two generations of high-tech startups in China's information technology sectors, this study presents empirical research on how Chinese technology startup companies, despite their lack of many of the basic elements that are usually necessary for a successful enterprise, survived and thrived in a competitive environment. The first-generation firms appeared in the mid- and late 1980s, competing in computer-related areas such as Chinese-language processing software and hardware products, personal computers, and financial software products. The second-generation startups, namely Internet-related companies, emerged in the mid-1990s. The thesis presents case studies, which form the primary evidence for analysis, on major domestic players Legend, Founder, Great Wall, Sohu, Sina, and Netease. A framework was built based on a theoretical distinction between external resources and organizational capabilities. Case studies show that external resources are important, but richer resources do not always guarantee a startup's success if they fail to help build organizational capabilities. External resources might even become a hurdle in sustaining a competitive edge. The case studies indicate that organizational capabilities that were built during a startup's development, rather than just richer or "better" external resources alone, make significant contributions to success. Another observation is that in many cases resource constraints trigger startups to search for needed capabilities. Together with external resources and strategic alliances, trial-and-error learning is an effective vehicle to carry out capability-building processes. The unintentional nature of capability building is also discussed.<br>by Lin Xu.<br>Ph.D.
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Li, Hongmin Ph D. Massachusetts Institute of Technology. "Essays on supply chain contracting and tactical decisions for inter-generational product transitions." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/40886.
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Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, 2007.<br>Includes bibliographical references ().<br>In this dissertation, we explore problems in two areas of Supply Chain Management. The first relates to strategic supplier management. The second focuses on tactical decisions on inventory and pricing during inter-generational product transition. In many industries, manufacturing firms use multiple competing suppliers in their component or product sourcing strategy. Chapter 2 studies optimal history-dependent contracts with multiple suppliers in a dynamic, uncertain, imperfect-information environment. The results provide an optimal contract structure for the manufacture and optimal performance and effort paths for the suppliers. We compare incentives in the form of product margin and that of business volume. Our results suggest that a volume contract may increase the total profit for the supply chain, partly due to its ability to allocate higher volume to the supplier that is more likely to input high effort, and partly through relative performance evaluation. However, for two suppliers with large asymmetry, it is better to contract independently with each supplier using margin incentive, rather than forcing them into a volume race. Chapter 3 studies the inventory planning decisions in the context of a technology product transition, i.e., when a new generation product replaces an old one. High uncertainties in a new product introduction coupled with long lead-time often lead to extreme cases of demand and supply mismatches. When a company runs out of the old product, a customer may be offered the new product as a substitute. We show that the optimal substitution decision is a time-varying threshold policy and establish the optimal planning policy. Further, we determine the optimal delay in new product introduction, given the initial inventory of the old product.<br>(cont.) In Chapter 4, we study the optimal pricing decisions during a product transition. We restrict the new product price to be constant and formulate the dynamic pricing problem for the old product. We derive a closed-form solution for the optimal price under non-homogeneous Poisson demands. In addition, we compare three heuristic pricing policies: fixed-price, two-price, and myopic rolling-horizon policies. The results suggest that changing price once during the transition (the two-price policy) improves the profit dramatically and is near optimal.<br>by Hongmin Li.<br>Ph.D.
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Heslop, Janelle Nicole. "A systematic approach for assessing next generation technologies and solutions in biomanufacturing." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122586.
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Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2019, In conjunction with the Leaders for Global Operations Program at MIT<br>Thesis: S.M., Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2019, In conjunction with the Leaders for Global Operations Program at MIT<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 92-93).<br>Amgen is one of the world's leading independent biotechnology companies and competes globally to advance important medicines in a highly competitive marketplace. Biologics manufacturers such as Amgen have traditionally invested in costly, large-scale stainless steel infrastructure to support the production of biologic medication. However, more recently, changes in the economics, such as the need to deploy less-capital intensive biomanufacturing plants faster, and advances in the technology, such as process-intensification (i.e., getting more protein from each cell), have created both incentives and pressures for smaller-scale, single-use, and modular production technologies. These incentives include greater flexibility, shorter timelines for construction / rapid deployment of new facilities, and reduced costs as well as physical and environmental footprint.<br>To prepare for this changing business environment, Amgen must develop a manufacturing strategy that can enable the production of high quality products with significant reduction in timelines, cost, and reduced impact. To do so, Amgen is investigating a handful of these new production technologies, known as next generation manufacturing technologies, and attempting to understand their applicability in their future manufacturing model. There is a need for a transparent and standard methodology for evaluating and deploying new technologies in the manufacturing network. This study aims to address this issue and enable speed, rigor, and efficiency of decisionmaking through the use of a structured framework for selection and deployment of next generation technologies. Through literature review and engagement with Amgen experts, this study defines a next generation manufacturing technology evaluation framework.<br>This framework involves a hybrid, multi-attribute set of metrics that are broadly categorized into economic, environmental, and operational assessment areas. The framework is then applied to assess the economic, operational, and environmental implications of deploying single use technologies in drug substance manufacturing as a test of concept. An assessment along the three areas helps to identify that single use technologies, namely single use bags due to their cost and environmental footprint, may not always be the optimum substitute for all existing process technology. Instead, a hybrid approach, mixing new single use technology with existing stainless steel infrastructure, may help to reduce variable cost and carbon footprint of the process.<br>When the framework and this proposed hybrid approach was at an Amgen site, a potential savings of up to $ 1 M per year was identified as well as the elimination of up to thousands of liters in clean water losses, and up to 400x reduction in the carbon footprint of the process. Lastly, the assessment framework is applied as a management tool in the assessment of next generation drug product filling technology to demonstrate how the framework can be used to enable rapid decision-making related to future manufacturing scenarios.<br>by Janelle Nicole Heslop.<br>M.B.A.<br>S.M.<br>M.B.A. Massachusetts Institute of Technology, Sloan School of Management<br>S.M. Massachusetts Institute of Technology, Department of Civil and Environmental Engineering
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Alrayes, Ali Said. "Transmission system overvoltage mitigation through the use of distributed generation (DG) smart inverters." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/126993.
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Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, in conjunction with the Leaders for Manufacturing Program at MIT, May, 2020<br>Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, in conjunction with the Leaders for Manufacturing Program at MIT, 2020<br>Cataloged from the official PDF of thesis.<br>Includes bibliographical references (pages 63-65).<br>The objective of this project is to demonstrate the technical ability and cost-effectiveness of reducing electric transmission system overvoltage violations using distributed generation (DG) smart inverters connected to the electric distribution system. Overvoltage violations are situations when the system exhibits voltage levels outside of the acceptable range set by the American National Standards Institute (ANSI) of 105% of nominal system voltage. The challenge that Atlantic Electric could potentially face from the rapid deployment of DG across its distribution system - driven by new additional renewable energy incentive programs in the US State in which it operates - is the underloading of its high voltage (69kV and 115kV) transmission lines causing overvoltage violations at the ends of the transmission lines. The traditional response to this challenge is to install system upgrades on the transmission system in the form of shunt reactors.<br>However, these system upgrades are expensive and time-consuming to install, which could de-incentivize and delay the deployment of DG projects. The solution we propose is to utilize the reactive power absorption capability of the DG inverters to absorb excessive reactive power from the transmission system. In this work, we investigate feeders' maximum capability of reactive power absorption through distributed generation (DG) smart inverters by modeling two "representative" Atlantic Electric distribution feeders under different PV deployment scenarios based on the feeders' load and generation levels, among other factors. We then perform a cost-benefit analysis to compare against installing shunt reactors. Our findings show that implementing an inverter-based solution has a range of significant cost-savings of up to $300,000/year when compared with installing shunt reactors on the transmission system.<br>This arrangement, however, is one that hinges on the utility's ability to review regulatory and commercial with all stakeholders involved.<br>by Ali Said Alrayes.<br>M.B.A.<br>S.M.<br>M.B.A. Massachusetts Institute of Technology, Sloan School of Management<br>S.M. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science
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Knight, Amanda J. (Amanda Joann). "Next generation commercial aircraft engine maintenance, repair, and overhaul capacity planning and gap analysis." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/117979.
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Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, in conjunction with the Leaders for Global Operations Program at MIT, 2018.<br>Thesis: S.M., Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, in conjunction with the Leaders for Global Operations Program at MIT, 2018.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 73-74).<br>A critical element in maintaining engine safety and in providing post-production service and support of a commercial aircraft engine is the complete worldwide network of maintenance, repair, and overhaul facilities. Matching forecasted shop visit demand to network-wide capacity is essential to ensuring the required resources are in place to quickly repair and return these assets to the airline customer. A capacity analysis methodology is developed to characterize and analyze the current network capacity for the PW1100G Geared Turbofan engine model for Gate 3 Engine Testing processes. This capacity model is then compared to the anticipated monthly shop visit demand for engine repair services through 2026. By identifying capacity shortages earlier in the program, Pratt & Whitney can proactively plan for and fund additional resources to improve capacity, ensuring the required capacity is in place when demand materializes to reduce shop visit delays. The results of the PW1100G capacity study are utilized both to provide recommendations for the anticipated timeframe when additional resources will be required to meet projected demand and to outline major planning milestones required to meet the resource need date.<br>by Amanda J. Knight.<br>M.B.A.<br>S.M.
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Silva, Hector E. "Enterprise design for services : a systems approach for the Boeing next generation corporate travel system architecture." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/59171.
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Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division; in conjunction with the Leaders for Global Operations Program at MIT, 2010.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 72).<br>Typically a company's second largest controllable expense, corporate travel affects many employees at Boeing. A challenge when implementing improvements in the travel and expense system, which is actually comprised of a system of systems, is the coordination of various solutions to ensure improvements in one area do not adversely affect the efficiency of other areas. Various systems along with the people, policies, and processes used to provide services to travelers must be coordinated both inside and outside Boeing in order for overall travel operations to function properly. The intent of this project is to establish a systems-based architecture for Boeing's Next Generation Travel System. This thesis proposes re-designing the Boeing travel system using an enterprise architecting framework to select a future state architecture for a service organization. The analysis recommends a supplier integrated "off-the-shelf' software solution, employing the software as a service business model. Under this model the supplier is paid per transaction completed in the system; adoption of this metric aligns the system to reduce re-work costs, increase first-time pass quality, and improve usability. Additionally, new supplier software tools will allow the Boeing travel organization to transition from a process-focused to a more knowledge-focused service team.<br>by Hector E. Silva.<br>S.M.<br>M.B.A.
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Yafai, Abdul Fattah. "Listening to how first generation Slovak-Roma boys and their parents perceive education in a Yorkshire secondary school : what experiences have facilitated or acted as barriers to positive encounters in their school." Thesis, University of Sheffield, 2017. http://etheses.whiterose.ac.uk/18536/.
Full textAbstract:
The study aimed to gain an understanding of the purpose of education as understood by first generation Slovak-Roma young people (YP), Luka & Peter and their parents Frank & Mary (pseudonyms used). The study surfaced experiences that facilitated a positive encounter in their UK school, as well as the experiences that acted as barriers to a positive encounter with the school. Interpretative Phenomenological Analysis (IPA) was used as an approach to make sense of the experiences of the participants via in-depth interviews. YP conducted Photo-elicitation to guide their interview and parents had non-structured interviews. All interviews began with the same question: ‘Tell me about this place?’ The research results provide an understanding of education through the following five superordinate themes that emerged through the voice of the participants: basic human needs, cultural aspects of education, society equality and the future, learning and school staff practice. Theory and pertinent studies have provided further insight into these areas. The implications for educational psychologists, schools and educational practitioners will firstly include creating an understanding through the voice and feelings of the participants in the study. This information will be delivered the form of training, conferences, and publications. This can impact on school and educational psychology practice to best support Slovak-Roma pupils in the city from classroom to structural levels through consultation between schools and educational psychologists. At national levels local authority consultation and sharing information could be conducted across cities. This study can also provide insight for working with other newly arriving communities that have entered the country and aid to the understanding of Roma/ migration. Recommendations for future research have additionally been presented which can provide further insight.