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1
Nallendran, Vignesh Raja. "Predicting Performance Run-time Metrics in Fog Manufacturing using Multi-task Learning." Thesis, Virginia Tech, 2021. http://hdl.handle.net/10919/102501.
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The integration of Fog-Cloud computing in manufacturing has given rise to a new paradigm called Fog manufacturing. Fog manufacturing is a form of distributed computing platform that integrates Fog-Cloud collaborative computing strategy to facilitate responsive, scalable, and reliable data analysis in manufacturing networks. The computation services provided by Fog-Cloud computing can effectively support quality prediction, process monitoring, and diagnosis efforts in a timely manner for manufacturing processes. However, the communication and computation resources for Fog-Cloud computing are limited in Fog manufacturing. Therefore, it is significant to effectively utilize the computation services based on the optimal computation task offloading, scheduling, and hardware autoscaling strategies to finish the computation tasks on time without compromising on the quality of the computation service. A prerequisite for adapting such optimal strategies is to accurately predict the run-time metrics (e.g., Time-latency) of the Fog nodes by capturing their inherent stochastic nature in real-time. It is because these run-time metrics are directly related to the performance of the computation service in Fog manufacturing. Specifically, since the computation flow and the data querying activities vary between the Fog nodes in practice. The run-time metrics that reflect the performance in the Fog nodes are heterogenous in nature and the performance cannot be effectively modeled through traditional predictive analysis. In this thesis, a multi-task learning methodology is adopted to predict the run-time metrics that reflect performance in Fog manufacturing by addressing the heterogeneities among the Fog nodes. A Fog manufacturing testbed is employed to evaluate the prediction accuracies of the proposed model
and benchmark models. The proposed model can be further extended in computation tasks offloading and architecture optimization in Fog manufacturing to minimize the time-latency and improve the robustness of the system.Master of Science
Smart manufacturing aims at utilizing Internet of things (IoT), data analytics, cloud computing, etc. to handle varying market demand without compromising the productivity or quality in a manufacturing plant. To support these efforts, Fog manufacturing has been identified as a suitable computing architecture to handle the surge of data generated from the IoT devices. In Fog manufacturing computational tasks are completed locally through the means of interconnected computing devices called Fog nodes. However, the communication and computation resources in Fog manufacturing are limited. Therefore, its effective utilization requires optimal strategies to schedule the computational tasks and assign the computational tasks to the Fog nodes. A prerequisite for adapting such strategies is to accurately predict the performance of the Fog nodes. In this thesis, a multi-task learning methodology is adopted to predict the performance in Fog manufacturing. Specifically, since the computation flow and the data querying activities vary between the Fog nodes in practice. The metrics that reflect the performance in the Fog nodes are heterogenous in nature and cannot be effectively modeled through conventional predictive analysis. A Fog manufacturing testbed is employed to evaluate the prediction accuracies of the proposed model and benchmark models. The results show that the multi-task learning model has better prediction accuracy than the benchmarks and that it can model the heterogeneities among the Fog nodes. The proposed model can further be incorporated in scheduling and assignment strategies to effectively utilize Fog manufacturing's computational services.
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Ranjan, Rajit. "Design for Manufacturing and Topology Optimization in Additive Manufacturing." University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1439307951.
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Scholtz, Robert L. (Robert Louis) 1972. "Strategies for manufacturing low volume semiconductor products in a high volume manufacturing environment." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/44608.
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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 Manufacturing Program at MIT, 2002.Includes bibliographical references (p. 82-83).
The rapid growth of the digital communications market has prompted several large semiconductor manufacturers, including Intel Corporation, to begin the design and manufacture of communication ICs. The communications ICs are currently produced in much lower volumes than products such as microprocessors and memory. These low-volume products have been reported to cause operational problems, such as excessive cost, slow throughput time, and low yield when manufactured in semiconductor fabs designed for high volume manufacturing. This thesis examines the operational problems caused by the manufacture of low-volume semiconductor products and explores potential improvements. A financial model was developed to compare the cost of manufacturing low-volume products using several different strategies in existing high-volume fabs. The model results demonstrated that mask set cost, a fixed cost, becomes a very large component of total production cost as the product volume is reduced. Further, this model identified multi-product wafers, a scheme of fabricating several products on a single wafer, as a strategy with potential for savings up to approximately 75% of the manufacturing cost of low-volume products. A second financial model was developed to consider more detailed aspects of fabricating products on multi-product wafers. This model considered the sensitivity of the potential cost savings to changes in demand and changes to the design of multi-product wafers. This model also demonstrated that significant savings are possible with the multi-product wafer strategy, especially if the products are carefully matched (by die size and demand) with other products on the multi-product wafer. Finally, a brief organizational study was conducted to analyze the implementation of a multi-product wafer manufacturing process for the production of low-volume CMOS ICs at Intel Corporation.
by Robert L. Scholtz, III.
S.M.
M.B.A.
4
Correa, Manuel (Manuel Roza). "Implementing cellular manufacturing methodologies to improve the performance of a manufacturing operation." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/66064.
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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, 2011.Cataloged from PDF version of thesis.
Includes bibliographical references (p. 62).
Many traditional high-mix, low-volume manufacturing facilities utilize process villages, whereby similar operations are grouped together in an effort to gain efficiencies. While process villages can improve certain metrics and increase capacity utilization, many wastes can be created that outweigh most benefits. In many cases process villages operate with large batch sizes, which result in longer lead-times and increased inventories. A different approach, for an appropriate range of product mixes and volumes, is to form production cells for common products that group different processes together to form complete value streams. The manufacturing cells focus on completely finishing products before handing them off and result in reduced lead-times and inventories. This thesis presents a methodology for implementing such production cells in a manufacturing environment. The author spent six months at a leading aerospace company implementing cellular manufacturing principles in designing several production cells for a transmission component manufacturing department as part of a lean transformation effort. The cell design methodology implemented consisted of several key processes such as process flow design, material handling design, workplace organization, and staffing. The process flow design consisted of activities such as grouping products into families, designing value streams, and performing capacity analysis. Material handling design developed solutions for how products physically flow through the cell and managing work-in-process. Workplace organization focused on utilizing visual factory and 5S principles to ensure strong communication and information flow as well as first class equipment organization and housekeeping. Finally, workload analyses were performed to appropriately staff the cells to minimize costs and ensure efficient operations. Ultimately, the goal of any transformation effort is to reduce waste and add value, which would not be possible if the culture of the organization did not support the physical and operational design changes. Hence the final, and arguably most important piece of the transformation, which the author participated in, was engaging the workforce to drive the culture change.
by Manuel Correa.
S.M.
M.B.A.
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Lu, Ilyssa Jing. "Innovation enabling manufacturing processes." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/44309.
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Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science; in conjunction with the Leaders for Manufacturing Program at MIT, 2008.Includes bibliographical references (p. 61-62).
Global operations for multinational companies today pose a particularly challenging environment for maintaining fluid knowledge transfer and effective communication methodologies. In a continuous drive for product innovation, process development often takes on lower priority to other initiatives that directly affect the design and delivery of a product. However, existing literature shows that process development and governance are critical to sustainable growth in the global marketplace. Multinational companies must recognize the need to integrate process development in a product centric enterprise to maintain effective information flow and clear communication channels. Cisco faces this challenging in maintaining effective cross-functional communication while growing through acquisition and new product developments. Cisco also faces additional complexity in managing a global network of outsourced manufacturing activities. This research analyzes two case studies in process development within the Manufacturing organization at Cisco. Specifically, these two case studies focus on driving early engagement of manufacturing concerns in the product lifecycle and effective means of facilitating this initiative.
by Ilyssa Jing Lu.
S.M.
M.B.A.
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Holman, Jason (Jason William) 1974. "Optical networking equipment manufacturing." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/44603.
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Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science; in conjunction with the Leaders for Manufacturing Program at MIT, 2001.Includes bibliographical references (leaf 70).
Celestica, a global contract manufacturer specializing in printed circuit board assembly and computer assembly, has recently begun manufacturing equipment for the optical networking equipment (ONE) industry. The expansion to include ONE manufacturing requires the development of new skills in handling optical fiber and components, a new supply chain strategy, and a new approach to manufacturing systems control. Celestica is developing a set of standards for ONE manufacturing that will support the rapid development of the new skills required for this industry. This work outlines the standards and explores the specific issues related to manufacturing with optical fiber, including the mechanical reliability and optical performance of various types of optical fibers. An overview of the telecommunications industry is provided, including an analysis of its supply chain structure. Observations are made on trends in the industry and the ways that these trends have affected Celestica in the past, and could impact Celestica in the future. Finally, Celestica's current approach to manufacturing systems control is evaluated, and suggestions are made for improving systems control and project management when manufacturing for such a rapidly evolving industry.
by Jason Holman.
S.M.
M.B.A.
7
Terenzi, Marco. "Additive manufacturing e ottimizzazione topologica: massimizzare le prestazioni di una pinza freno per applicazioni motorsport." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/18930/.
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I veicoli ad alte prestazioni sono soggetti ad elevati carichi per piccoli intervalli di tempo. Questo comporta diverse criticità sulle componenti che costituiscono la vettura: una di queste è la pinza freno. Al fine di renderla performante è necessario il possesso di due proprietà.
In primo luogo, la pinza freno deve essere il più leggera possibile poiché essa conferisce un'inerzia nella risposta della sospensione del veicolo, procurando il distacco dello pneumatico dal suolo e causando perdita di aderenza.
In secondo luogo, è necessario contenere le deformazioni della pinza freno garantendo un determinato feeling per il pilota.
Il compito del progettista è ottimizzare questi due parametri che hanno effetti antitetici. Questa difficoltà porta il progettista a creare design molto complessi per raggiungere l’ottimale e non sempre le geometrie ottenute sono realizzabili con tecnologie convenzionali.
Questo studio riguarda il miglioramento prestazionale di una pinza freno costruita con una lega di alluminio 7075-T6 e lavorato dal pieno. Gli obbiettivi sono quello di produrre il nuovo corpo in titanio TI6Al4V, dal momento che le temperature di esercizio portano a grandi decadute di caratteristiche meccaniche dell’alluminio, contenere il più possibile la massa a fronte dell’aumento di densità di materiale e ovviamente limitare le deformazioni.
Al fine di ottenere gli obbiettivi prefissati sono utilizzati metodi agli elementi finiti in diverse fasi della progettazione: per acquisire una geometria di partenza (ottimizzazione topologica) e per la validazione delle geometrie ottenute.
Le geometrie ricavate tramite l’ottimizzazione topologica devono essere ricostruite tramite software CAD affinché possano essere ingegnerizzate. Durante la modellazione è necessario valutare quale tecnologia è più vantaggiosa per produrre il componente. In questo caso studio si utilizza un processo di addizione di materiale, più specificatamente una tecnica Selective Laser Melting (SLM).
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Joing, Matthew J. (Matthew John) 1972. "Applicability of lean manufacturing and quick response manufacturing in a high-mix low-volume environment." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/34767.
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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 Manufacturing Program at MIT, 2004.Includes bibliographical references (p. 66).
As today's manufacturers face increasing pressure to improve costs and compete globally, many are turning to the philosophy of Lean Manufacturing as exemplified by the Toyota Production System. Lean is most successful when production is characterized by a few high-volume products, but may not be the answer as the production mix increases and volume decreases. This thesis focuses on this high-mix, low-volume type of production in addition to two other key production system characteristics: demand variability and degree of customization. A manufacturer's position along these four characteristics is very important to the applicability of Lean theory. The alternative philosophy of Quick Response Manufacturing (QRM) is compared to Lean and shown to offer a better fit in some cases. One such case where Lean does not fit neatly is circuit card assembly at Raytheon Systems Limited in Glenrothes, Scotland, where the author conducted his six-month LFM internship. Five steps towards manufacturing improvement are focused on in this thesis: choosing metrics, reorganizing the factory, selecting lot sizes, implementing a production control strategy, and deciding on a material presentation method. The recommended steps to improve circuit card assembly include ideas from both Lean and QRM. This mix of ideas was implemented at Raytheon before the end of the internship and resulted in marked improvement. On-time delivery and customer satisfaction dramatically improved while lead times and inventories dropped significantly. Using Lean Manufacturing as the sole guideline for improvement was not appropriate for this particular manufacturing system. The final takeaway from the internship and thesis is that there is no one-size-fits-all manufacturing philosophy.
by Matthew J. Joing.
S.M.
M.B.A.
9
Chan, Chi-fung. "Computer-aided design and manufacturing of tactile maps." Click to view the E-thesis via HKUTO, 2007. http://sunzi.lib.hku.hk/hkuto/record/B37895722.
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Chan, Chi-fung, and 陳智鋒. "Computer-aided design and manufacturing of tactile maps." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B37895722.
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Gausman, Christian. "Implementing lean manufacturing and design for manufacturing concepts in a job shop manufacturing environment." Online version, 2009. http://www.uwstout.edu/lib/thesis/2009/2009gausmanc.pdf.
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Pong, E. C. M. "The fit between advanced manufacturing technology (AMT) and manufacturing strategy : implications for manufacturing performance." Thesis, Aston University, 2009. http://publications.aston.ac.uk/15372/.
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Researchers posit that maximum benefit will accrue if there is a fit between the firm's strategies and its Advanced Manufacturing Technology (AMT) difftision. The existing literature discusses how the investment of AMT should be consistent with manufacturing strategy, however little attention has been given to an empirical examination of the link between manufacturing strategy and AMT, and the implications of the fit between these two on manufacturing performance. This thesis addresses that gap in the literature and thus seeks to examine the link between manufacturing strategy and AMT, and how the alignment between these two variables can affect the manufacturing performance.
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Abdelgawad, Salma. "Cross-subsidy models for urban manufacturing." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/127859.
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Thesis: S.M. in Real Estate Development, Massachusetts Institute of Technology, Program in Real Estate Development in conjunction with the Center for Real Estate, 2020Cataloged from the official PDF of thesis.
Includes bibliographical references (pages 71-74).
Much has been written concerning the positive socio-economic values of urban manufacturing and the need for cities to advocate for the protection of existing middle-income wage jobs in the industrial sector. However, there lie governing factors as to why a use, that has always been essential to communities, has become very hard to grow or even sustain in the present time. Urban growth models were usually developed around the idea that industrial uses are a negative externality. Unlike numerous cities that witnessed complete deindustrialization after World War II, New York City has over the years transformed the identity of its Manufacturing districts. The revival of urban manufacturing in the heart of NYC, where the highest and best use is not in favor of industrial use, has pushed for re-visiting the outdated industrial zoning framework for the first time since the 1961 zoning resolution.
The North Brooklyn Industrial Business Zone, a protected manufacturing district spanning across 1,066 acres and the third-largest industrial hub in the city by employment, is set out to become the blueprint for a proposed rezoning framework by NYC's Department of City Planning. The rezoning was initiated as part of the industrial action plan launched in 2015 and aims to create new models for innovative and diverse neighborhoods through mixed-use commercial and industrial uses. In 2018, The Department of City Planning released a draft rezoning framework outlining an additional density to support commercial investment in a growing of a mixed-use market. However, the plan does not define a clear strategy that aims to maintain net-zero losses in industrial jobs. In effect, a simple up-zoning applied to industrial land will not hold back competing uses from outbidding industrial tenants and creating further industrial displacement.
By shedding light on New York City's industrial land use policies and the mechanisms that helped maintain and grow its manufacturing ecosystem thus far, this thesis will demonstrate the feasibility and challenges facing industrial space development within the newly proposed North Brooklyn Re-Zoning Framework and under current market conditions. As part of the feasibility study, several deal structures will be explored from private development, public-private partnership, and industrial community land trusts which improve both the feasibility as well as the retention of businesses.
by Salma Abdelgawad.
S.M. in Real Estate Development
S.M.inRealEstateDevelopment Massachusetts Institute of Technology, Program in Real Estate Development in conjunction with the Center for Real Estate
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Anthony, Richard M. (Richard Morgan) 1971. "Analyzing sampling methodologies in semiconductor manufacturing." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/34749.
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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 Manufacturing Program at MIT, 2004.Includes bibliographical references (p. 81-83).
This thesis describes work completed during an internship assignment at Intel Corporation's process development and wafer fabrication manufacturing facility in Santa Clara, California. At the highest level, this work relates to the importance of adequately creating and maintaining data within IT solutions in order to receive the full business benefit expected through the use of these systems. More specifically, the project uses, as a case example, the sampling methodology used in the fab for metrology data collection to show that significant issues exist relating to the software Various recommendations were undertaken to improve the application's effectiveness. As part of this effort, plans for an online reporting tool were developed allowing much greater visibility into the system's ongoing performance. Initial data updates and other improvements resulted in a reduction in both product cycle times and required labor hours for metrology operations. application database and business processes concerning data accuracy and completeness. The organizational challenges contributing to this problem will also be discussed. Without a rigorous focus on the accuracy and completeness of data within manufacturing execution systems, the results of continuous improvement activities will be less than expected. Furthermore, sharing information relating to these projects across geographical boundaries and business units is vital to the success of manufacturing organizations.
by Richard M. Anthony.
S.M.
M.B.A.
15
González, Carlos A. (Carlos Alberto) 1972. "Addressing equipment set-up time and manufacturing cost through real time inline inspection in tantalum wire manufacturing." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/34766.
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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 Manufacturing Program at MIT, 2004.Includes bibliographical references (p. 49).
For this study, a novel wire inspection system was developed to detect surface defects and monitor diameter real-time during the final wire drawing operation. Throughout his work, it was proven that the new inspection system was able to catch common wire defects under manufacturing conditions (wire speed). Furthermore, defect density limits were defined based on data collected during this study. A production version of the wire inspection system was jointly developed with the equipment supplier and an order was placed for three complete systems to be installed in all final draw machines. Increased competition and poor economic conditions forced the manufacturer to place an unprecedented focus on decreasing manufacturing costs. The wire inspection system reported in this thesis was developed with the objective of increasing productivity at the most critical operation in the factory; final wire drawing.
by Carlos A. González.
S.M.
M.B.A.
16
Rothman, Craig Jeremy. "Objective assessment of manufacturing technology investments." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/73403.
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Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering; in conjunction with the Leaders for Global Operations Program at MIT, 2012.Cataloged from PDF version of thesis.
Includes bibliographical references (p. 65-67).
Amgen is a biotechnology company with manufacturing plants throughout the world. New manufacturing technologies are constantly being developed and implemented in order to address cost, quality, regulation, and competitive forces. However, deciding on the technologies to implement is difficult because there is much uncertainty and the regulatory constraints of old products need to be balanced with the need of manufacturing flexibility for new products. Interviews were conducted with executives at Amgen and other biotechnology companies to understand their current decision-making processes and no gold-standard decision-making process emerged. The current process at Amgen is a business case along with net present value (NPV). However, the process has been found to be somewhat biased and decisions are often made on gut-instinct and excitement. In addition, the business case often fails to capture some of the more subjective, intangible elements of new technologies. Therefore, a technology decision-making framework based on the Analytic Hierarchy Process (AHP) is introduced. The AHP is an objective, group decision-making approach. For usability and sustainability, commercial software from Expert Choice was used in case studies to validate AHP as a decisionmaking approach within Amgen. One case study looked at options to upgrade a clinical manufacturing facility. An AHP model was analyzed simultaneously with a typical business case and NPV analysis. The AHP model allowed management to understand the more subjective areas where the options differed and therefore was a suitable approach that added value. Another case study was performed looking at choosing a standardized drug substance container where five previous analyses had been performed, but no decision made. The AHP model allowed the different criteria to be combined in one model with cross-functional input so that management could make a holistic decision. The AHP approach had many benefits and using commercial software made the process easier for users and allowed for a more sustainaible process within Amgen.
by Craig Jeremy Rothman.
S.M.
M.B.A.
17
Cosby, Samuel T. (Samuel Thomas). "Process Analytical Technology in biopharmaceutical manufacturing." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/80911.
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Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering; in conjunction with the Leaders for Global Operations Program at MIT, 2013.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 (p. 83-85).
Process Analytical Technology (PAT) became a well-defined concept within the pharmaceutical industry as a result of a major initiative by the FDA called "Pharmaceutical cGMPs for the 21st Century: A Risk-Based Approach." The FDA defines PAT as "a system for designing, analyzing, and controlling manufacturing through timely measurements (i.e., during processing) of critical quality and performance attributes of raw and in-process materials and processes, with the goal of ensuring final product quality." The biotechnology industry has started incorporating PAT in manufacturing, because of regulatory pressure and because the previous blockbuster-oriented business model is becoming less viable. This thesis proposes a methodology for evaluating PAT systems and delivers guidance on how to develop and implement them to effectively manage risk in biopharmaceutical manufacturing. The methodology includes guidance regarding identifying opportunities, evaluating and implementing novel analytical technology, appropriately applying acquired data, and managing change associated with PAT implementation. Experimental results from a novel PAT system that acquires light scattering and UV absorbance data to control chromatography during large-scale manufacturing are presented as a case study. The case study follows the methodology to show how a system optimized for a laboratory can be scaled for use in biopharmaceutical manufacturing.
by Samuel T. Cosby.
S.M.
M.B.A.
18
Awuondo, Benjamin Martin Onyango. "Long range planning of manufacturing footprint." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/117977.
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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.Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, in conjunction with the Leaders for Global Operations Program at MIT, 2018.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 57-58).
Firms developing an Operations Strategy need to make decisions across a wide spectrum. Within the field of operations strategy, common practice defines the stratification of these decisions into structural and infrastructural elements. Structural decisions relating to the amount of capacity and facilities a firm deploys can impact a firm's cost competitiveness if implemented incorrectly because of the large capital expenditures and time horizons involved. Boston Scientific, a medical device manufacturer, recognizes the importance of operations strategy in achieving competitive success and continually seeks tools that assist in the creation of strategy as it pursues growth. This thesis discusses the development of a scenario planning tool that is focused on estimation of manufacturing footprint requirements for the company's internal manufacturing network. The tool we develop takes a demand forecast as an input and converts it to a physical space requirement in square feet. Additionally, the tool exhibits significant flexibility in being able to develop multiple scenarios, especially given the ability to modify parameters ranging from growth rates to improvement factors within facilities. The tool also offers a deeper level of detail than previously available, with the critical decision unit being the value stream, rather than an aggregation of data to only present factory or network level results. Whilst this work is applied to the context of a medical device manufacturer, the methodology is easily transferable to a range of industries. The work can be applied to any manufacturing setting where investment decisions for new facilities take significant time and capital. Our research of the literature on this topic identified a gap, and the development of the tool is a positive addition to the field of estimation of manufacturing footprint.
by Benjamin Martin Onyango Awuondo.
M.B.A.
S.M.
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Simpson, Christina M. (Christina Margaret). "Cost modeling for monoclonal antibody manufacturing." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/66050.
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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, 2011.Cataloged from PDF version of thesis.
Includes bibliographical references (p. 75-76).
The Novartis BioPharmOps division is responsible for manufacturing large molecule products, including monoclonal antibodies, for late stage clinical trials and commercial sales. The BioPharmOps site in Huningue, France is expanding their product line but is also trying to reduce costs; cost pressures are increasing as biotech products become a larger part of Novartis' pipeline. The site uses a standard cost method to calculate their product costs. However, when using standard costs it can be time-consuming to extrapolate and predict costs when inputs and assumptions (such as product mix or process parameters) are changed. This project describes development of a model that allows the factory to quickly and easily simulate new product mixes and process flows. This model provides the site with a different view of their costs that will help them understand their cost drivers more completely and thereby help enable strategic decision-making at the site. A model of this type can be used to provide unexpected insights but the data in it are not meant to stand alone. By using results from a cost model like this along with operational metrics like throughput time or changeover time, a site should be able to quickly predict the cost impact of process changes or changes in the production plan.
by Christina M. Simpson.
S.M.
M.B.A.
20
Pai, Vinod. "Simulation of two manufacturing systems for a car manufacturing company." Ohio : Ohio University, 1997. http://www.ohiolink.edu/etd/view.cgi?ohiou1177087066.
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Sharifi, Hossein. "A methodology for assisting manufacturing organisations to implement agile manufacturing." Thesis, University of Liverpool, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.399167.
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Ging, Justin D. (Justin Daniel) 1976. "Implementation of a manufacturing process platform." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/34833.
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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Materials Science and Engineering; and, (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; in conjunction with the Leaders for Manufacturing Program at MIT, 2005.Includes bibliographical references (p. 54-55).
As companies grow and innovate, they offer an increasing number of products. Product proliferation must be managed through a product development process, which is supported by key competencies of the company in the form of platforms. Product and technology platforms have been essential to the success of innovative companies. By leveraging core abilities, companies are able to bring products to market faster and at a lower cost for quality. In this research I present the concept of a manufacturing process platform and a framework for identifying and institutionalizing the platform. I present a case study of a manufacturing group in Eastman Kodak Company which has performed analysis of manufacturing processes and is attempting to implement a manufacturing process platform. Research for this thesis was conducted during a six and a half month internship with Eastman Kodak Company's High Performance Imaging Systems Manufacturing group in Rochester, NY. The internship was affiliated with the Massachusetts Institute of Technology's Leaders for Manufacturing Program.
by Justin Ging.
M.B.A.
S.M.
23
Myers, Julius (Julius Scott). "Implementing postponement into low-volume/high-variability manufacturing." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/111535.
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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, 2017.Thesis: S.M. in Engineering Systems, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, in conjunction with the Leaders for Global Operations Program at MIT, 2017.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 60-61).
Aircraft Company X (AX) manufactures and assembles an immense variety of parts utilized as drive systems and rotor components across its multiple aircraft. The company's value proposition is maintaining the ability to build and service all legacy parts and as a result there is a great deal of variety found in its manufacturing processes. This variety stems from upgrades to manufacturing technology, improvements in material science, design variations, and individual part engineering modifications. In order to be responsive to fluctuating demand while minimizing costs, AX must broadly implement postponement into numerous applications as a way to extract the most value from its resources. This thesis uses multiple applications of postponement within AX to establish a methodology that can be used across various materials, both metallic and non-metallic. This methodology guided implementation of postponement through material physical form consolidation, material substitutions, and even provided insight into which manufacturing technique given a particular material form is optimal. The benefits are numerous to include a roughly 30% inventory reduction, improved buying power resulting in cost savings of over 10%, a reduction of material shortages by over 40%, and shorter lead times for finished goods. Extensions of these applications include aligning AX's supply chain with its suppliers utilizing identified tolerances and adding layers of postponement beyond raw material inputs.
by Julius Myers.
M.B.A.
S.M. in Engineering Systems
24
Ryden, Carl Ashley 1971. "Outsourcing in high volume electronics manufacturing." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/34699.
Full textAbstract:
Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science; in conjunction with the Leaders for Manufacturing Program, Massachusetts Institute of Technology, 2000.Also available online at the MIT Theses Online homepage
Includes bibliographical references (p. 54-55).
Outsourcing and subcontracting of manufacturing is growing at an incredible pace. According to a November 1998 Dataquest survey, the Electronics Manufacturing Services (EMS) industry is forecast to grow at a compound annual rate of over 26%. The largest and best known of the EMS providers, Solectron of Milpitas California, has recorded an astonishing compound annual growth rate of more than 53% since 1992 according to Chief Financial Officer Susan Wang. Despite the growing use of contract manufacturers, the decision to use them remains, in many organizations, a tactical one. Decisions to outsource are often undertaken solely within the manufacturing organizations within these firms, and focus primarily on reducing capital expenditures and direct costs such as labor. These decisions rarely take into account the much broader strategic implications of outsourcing a portion of the firm's production. This paper examines outsourcing decisions and their financial, organizational and, most importantly, strategic effects on the organization. It presents an integrated approach to making outsourcing decisions, a set of quantitative tools for assessing outsourcing options, and guidelines for implementation and management of the outsourcing relationship. The goal of the thesis is to enhance the overall quality of manufacturing outsourcing relationships by ensuring coherence with overall company strategy and strong execution. The work in this paper is based on a six-month internship as part of MIT's Leaders for Manufacturing Program in the Consumer Products Division of Qualcomm, Incorporated in San Diego, California. The learning presented in this paper is based upon observations made during the Qualcomm internship and an in-depth review of the literature on outsourcing. Because the work was done for Qualcomm, the findings of this paper are best suited to outsourcing decisions in similar organizations, those producing high volume, high-tech consumer products. However, many, if not all, of the underlying concepts are applicable to outsourcing decisions across a broad range of industries.
by Carl Ashley Ryden.
S.M.
25
Tadikonda, Kalyan Raghava 1966. "Fuel cells : manufacturing strategy for emerging technologies." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/44604.
Full textAbstract:
Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering; in conjunction with the Leaders for Manufacturing Program at MIT, 2001.Includes bibliographical references (p. 75-76).
Firms attempting to commercialize emerging technologies face unique challenges. Strategy making is one of the major challenges especially when the industry structure is embryonic. In this environment, it is important not only to remain flexible to accommodate the evolving market demands, but also to develop the infrastructure to respond to target markets quickly. This thesis presents a framework for developing a manufacturing strategy for emerging technologies and provides a case study for utilizing the model within fuel cell industry. The thesis develops a framework for manufacturing strategy, which includes four phases that lead to product introduction and capacity· expansion for the company to rapidly ramp up production if the product generates high demand. As further market information and customer input are obtained after product introduction, the different phases can be iterated to achieve low cost, high volume manufacturing for full commercialization. This framework was applied to understand International Fuel Cells business plan for residential/light commercial fuel cell commercialization, perform cost analysis on the product, identify core components, assess options for supplier development, determine operations requirements and examine options for capacity expansion. The business plan provided input into the project volumes of production. The production volumes were utilized to perform cost analysis. Cost analysis was used to identify potential technological breakthroughs that would render fuel cells competitive with existing technologies for power generation and transportation. Quality Function Deployment (QFD) was utilized to identify core subsystems and components. The different supply chain options and the applicable options for each of the core components were identified. These analyses provided insight into the components that needed investments for technology development. Operation requirements were estimated and capacity expansion options discussed. These options provided insight into the potential investments required. in the near term for residential fuel cell commercialization.
by Kalyan Raghava Tadikonda.
S.M.
M.B.A.
26
Ogden, Christopher Chan 1969. "Analysis of a manufacturing and distribution system." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/80371.
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 Manufacturing Program at MIT, 1999.Includes bibliographical references (p. 48).
by Christopher Chan Ogden, II.
S.M.
M.B.A.
27
Joshi, Anay. "Geometric Complexity based Process Selection and Redesign for Hybrid Additive Manufacturing." University of Cincinnati / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ucin151091601846356.
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Johnson, Marcus Cullen. "Implementation of a manufacturing technology roadmapping initiative." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/74920.
Full textAbstract:
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; and, (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; in conjunction with the Leaders for Global Operations Program at MIT, 2012.Cataloged from PDF version of thesis.
Includes bibliographical references (p. 93-95).
Strategic technology planning is a core competency of companies using technological capabilities for competitive advantage. It is also a competency with which many large companies struggle due to the cross-functional knowledge that needs to be shared, the varying perspectives that must to be aligned, the complicated network of dependencies that need to be understood and the high-degree of uncertainty involved in technology planning. Technology roadmapping has proven to be an effective strategic technology planning technique that can overcome these challenges. This thesis reviews literature on technology roadmapping and expands on this literature by applying these techniques to roadmapping the manufacturing technology. While the existing literature largely focuses on roadmapping the technologies that will directly deliver value to the customers, this thesis focuses on the technologies that indirectly deliver value to the customer. In an advanced products company, examples of the former and latter technologies are the product and manufacturing technologies, respectively. This distinction has important implications for the management of these technologies. Technology roadmapping is a powerful and flexible technique that must be tailored to the strategic context where it will be implemented. Through a case study of the development and implementation of manufacturing technology roadmapping at Raytheon Space and Airborne systems, the author seeks to provide a general set of guidelines for roadmapping a company's technology that indirectly add value to the customer.
by Marcus Cullen Johnson.
M.B.A.
S.M.
29
Grillon, Louis S. "Creation and sustainment of manufacturing technology roadmaps." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/73412.
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, 2012.Cataloged from PDF version of thesis.
Includes bibliographical references (p. 77-78).
Manufacturing technology roadmaps align manufacturing capability development to product development and the driving business need. Roadmaps allow an executable business strategy to be communicated to all levels of an organization reducing the time and resources required to bring new technology to market. This thesis examines the creation and sustainment of manufacturing technology roadmaps at Raytheon Space and Airborne Systems (SAS). It demonstrates how by using a stakeholder analysis and demonstrating a positive value proposition to all stakeholders agreement and adoption can be created across a large organization.
by Louis S. Grillon.
S.M.
M.B.A.
30
Byron, Andrew James. "Qualification and characterization of metal additive manufacturing." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/104315.
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, Department of Aeronautics and Astronautics, 2016. In conjunction with the Leaders for Global Operations Program at MIT.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 119-123).
Additive manufacturing (AM) has emerged as an effective and efficient way to digitally manufacture complicated structures. Raytheon Missile Systems seeks to gain limited production capability with metals AM, which can only be achieved with qualified, predictable processes that reduce variation. The project documented in this thesis produced two results needed to qualify AM for use on flight-critical parts: i) creation of a standard qualification process building upon Raytheon's product development knowledge, and ii) selection and identification of key metals AM process factors and their corresponding experimental responses. The project has delivered a qualification test plan and process that will be used next year to drive adoption and integration of Raytheon's metals AM technology. The first phase of the designed experiment on AM process factors was completed by experimenting with coupon orientation, position on the build platform, coupon shape and hot isostatic pressing (HIP) post-treatment for an Al alloy (AlSi10Mg) produced via laser powder bed fusion using 400-watt laser equipment. Only coupon orientation had a statistically significant effect on dimensional accuracy, increasing the variance of y-axis (within the build plane) error by ~50%, although this is considered a small increase. HIP decreased yield and ultimate stresses by ~60% while increasing ultimate strain by ~250%. Vertical orientation of coupons decreased yield and ultimate stresses by ~25% and increased ultimate strain by ~30%. Small coupon area on the build platform, associated with thin rectangle coupons, decreased yield stress and ultimate strain by ~5%. The processes and case study from this thesis represent a general advance in the adoption of metals AM in aerospace manufacturing.
by Andrew James Byron.
M.B.A.
S.M. in Engineering Systems
31
Kim, Hansoo. "Reference Model Based High Fidelity Simulation Modeling for Manufacturing Systems." Diss., Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/5207.
Full textAbstract:
Today, discrete event simulation is the only reliable tool for detailed analysis of complex behaviors of modern manufacturing systems. However, building high fidelity simulation models is expensive. Hence, it is important to improve the simulation modeling productivity. In this research, we explore two approaches for the improvement of simulation modeling productivity. One approach is the Virtual Factory Approach, using a general-purpose model for a system to achieve various simulation objectives with a single high fidelity model through abstraction. The other approach is the Reference Model Approach, which is to build fundamental building blocks for simulation models of any system in a domain with formal descriptions and domain knowledge. In the Virtual Factory Approach, the challenge is to show the validity of the methodology. We develop a formal framework for the relationships between higher fidelity and lower fidelity models, and provide justification that the models abstracted from a higher fidelity model are interchangeable with various abstract simulation models for a target system. For the Reference Model Approach, we attempt to overcome the weak points inherited from ad-hoc modeling and develop a formal reference model and a model generation procedure for discrete part manufacturing systems, which covers most modern manufacturing systems.
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Huang, Bin S. M. Massachusetts Institute of Technology. "A tactical planning model for a serial flow manufacturing system." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/61890.
Full textAbstract:
Thesis (S.M.)--Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2010.Cataloged from PDF version of thesis.
Includes bibliographical references (p. 55).
This project aims to improve the operation and planning of a specific type of manufacturing system, a serial flow line that entails a sequence of process stages. The objective is to investigate inventory policy, raw material ordering policy, production planning and scheduling policy, in the face of demand uncertainty, raw material arrival uncertainty and in-process failure. The tactics being explored include segmenting the serial flow line with decoupling buffers to protect against demand and raw material arrival uncertainty, and production smoothing to reduce production-related costs and the variance in upstream processes. Key policies for each segment include a work release policy from the decoupling buffer before the segment, and a production control policy to manage work-in-process inventory level within the segment and to meet inventory targets in each downstream decoupling buffer. We also explore raw material ordering policy with fixed ordering times, long lead-times and staggered deliveries in a make-to-order setting. A tactical model has been developed to capture the key uncertainties and to determine the operating tactics through analysis and optimization. This study also includes extensive numerical tests to validate the output of the tactical model as well as to gain a better understanding of how the tactical model reacts to different parameter variations.
by Bin Huang.
S.M.
33
Sise, Lincoln J. (Lincoln James) 1974. "A lean transformation in low volume space manufacturing." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/82701.
Full textAbstract:
Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, Thesis (S.M. in Ocean Systems Management)--Massachusetts Institute of Technology,Dept. of Ocean Engineering; in conjunction with the Leaders for Manufacturing Program at MIT, 2003.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
"June 2003."
Includes bibliographical references (leaves 59-60).
by Lincoln J. Sise.
S.M.in Ocean Systems Management
M.B.A.
34
Subramanian, Nima. "Lean manufacturing in a semiconductor environment : production leveling." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/39686.
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 Manufacturing Program at MIT, 2007.Includes bibliographical references (p. 60-61).
Intel Corporation's Fab17 located at Hudson, MA underwent a large scale manufacturing ramp-up, increasing its production volume by over 50%. As a result of this manufacturing ramp-up, the factory is faced with various capacity issues. These capacity issues along with current work-in-progress inventory (WIP) management strategies lead to an unbalanced inventory flow within the factory. The unbalanced WIP flow results in wafers accumulating in front of certain operations/areas. This WIP accumulation or "WIP bubbles" creates unexpected demand for the various resources on the shop floor, putting an undue strain on them. This strain is felt the most in the bottleneck area. The objective of this project is to develop a sustainable solution methodology to alleviate the strain on the bottleneck. The scope of this project falls under Fab 17's lean manufacturing organization, known as the manufacturing excellence (mX) group, and, the analysis used in this internship utilizes lean manufacturing concepts and principles. The solution methodology analyzes the wafer fabrication process in layers rather than in segments. This approach clarifies WIP movement and identifies problem areas that cause WIP bubbles. Further, the thesis applies the concept of production leveling to wafer fabrication in order to alleviate (and eliminate) the pressure on the bottleneck.
by Nima Subramanian.
S.M.
M.B.A.
35
Sierra, Maribel 1973. "Attracting new coating businesses by offering flexible manufacturing." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/84231.
Full textAbstract:
Thesis (S.M.)--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 Manufacturing Program at MIT, 2001.Includes bibliographical references (leaves 82-83).
by Maribel Sierra.
S.M.
36
Welnick, Richard J. (Richard John) 1968. "Applying lean manufacturing in an automotive stamping plant." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/84232.
Full textAbstract:
Thesis (S.M.)--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 Manufacturing Program at MIT, 2001.Includes bibliographical references (p. 67-68).
by Richard J. Welnick.
S.M.
37
López, de Haro Santiago. "Level schedule implementation in unstable manufacturing environments." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/44453.
Full textAbstract:
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science; and, (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; in conjunction with the Leaders for Manufacturing Program at MIT, 2008.Includes bibliographical references (p. 63-64).
American Axle & Manufacturing Inc. (AAM), headquartered in Detroit (MI) is one of the major Tier 1 suppliers in the automotive industry. The main challenge in AAM plant 2 is production rate unstability due to downtime, quality, changeover and absenteeism issues. The company is currently making a major effort to reduce this unstability. This thesis describes some of the systems which have been implemented in order to improve the inventory management policy in this factory. The document is structured around three main topics: research on the operations and materials management policy in Plant 2, design of new lean management systems ( level scheduling and visual management) and design of new Operations Research-based production planning tools to coordinate multiple mixed model production lines in an unstable manufacturing environment. Special emphasis is placed on the role of execution for true improvement and the challenges faced by the implementation team in this initiative.
by Santiago López de Haro.
M.B.A.
S.M.
38
Sargeant, Roland B. (Roland Basil) 1974. "Functional specifications of a manufacturing execution system." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/84352.
Full textAbstract:
Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science; in conjunction with the Leaders for Manufacturing Program at MIT, 2003.Includes bibliographical references (p. 129-130).
by Roland B. Sargeant.
S.M.
M.B.A.
39
Penttilä, Minja Johanna. "Reducing variability in a semiconductor manufacturing environment." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/34846.
Full textAbstract:
Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science; in conjunction with the Leaders for Manufacturing Program at MIT, 2005.Includes bibliographical references.
The main drivers in today's flash memory business are low cost and flexibility. Low cost requires high tool utilizations, whereas flexibility and ability to respond quickly to changing customer demands require short throughput times. There is, however, an inherent operational conflict with achieving both high utilization and short cycle time simultaneously. Intel's flash memory factory is striving for shorter manufacturing throughput times without reducing tool utilizations. One of the major components in throughput time today is queuing time caused partly by variability in the manufacturing environment. Being able to reduce this variability component could result in improvements in throughput time. In this work, Factory Physics methods are used to analyze variability in the manufacturing flow. First, potential high variability areas in the flow are identified. Second, manufacturing data is analyzed to find the main sources of variability. Third, ways to reduce variability are investigated. Finally, means to align manufacturing metrics with variability reduction efforts and the effect of metrics on organizational culture and change implementation are discussed. During the study it was found out that the lithography area reduces the overall manufacturing flow variability. It was also found out, that the area is highly utilized and is thus introducing non-value adding queuing time for the product throughput time.
(cont.) Arriving material flow was identified to be the main source of variability. Recommendations for improving the area performance include optimizing tool dedications, standardizing operator decision making, and changing preventive maintenance operations. The key takeaway from this study is the importance of metrics alignment. Metrics are the most powerful incentives for operator behavior. Unless the daily floor level performance measurements are aligned to support the organizational goals, implementing new operations management methods to reduce variability will be challenging.
by Minja Johanna Penttilä.
S.M.
M.B.A.
40
Martin, Brian C. (Brian Christopher). "Manufacturing footprint strategy for product line expansion." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122579.
Full textAbstract:
Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2019, In conjunction with the Leaders for Global Operations Program at MITThesis: S.M., Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2019, In conjunction with the Leaders for Global Operations Program at MIT
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 81-82).
To reach its long term revenue targets, EDSCO Fasteners must expand its smooth bar anchor bolt product line to increase revenue generation. In order to maximize profit during this expansion, an operational strategy must be developed to minimize total landed cost. This project will assess the current manufacturing processes and develop a realistic and practical model of the supply chain. Using data collected through pilot project implementation the model's parameters are calibrated and the model accuracy is validated. By developing this model as a linear optimization program it can be used as a decision support tool to inform the operational strategy. Likely expansion scenarios and decision points (consolidation, acquisition, capital expenditures, etc.) are considered as decision variables in the supply chain optimization model to minimize total landed cost. These results are used to inform a recommended scenario based strategy for product line expansion.
by Brian C. Martin.
M.B.A.
S.M.
M.B.A. Massachusetts Institute of Technology, Sloan School of Management
S.M. Massachusetts Institute of Technology, Department of Civil and Environmental Engineering
41
Leirvåg, Roar Nelissen. "Additive Manufacturing for Large Products." Thesis, Norges Teknisk-Naturvitenskaplige Universitet, 2013. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-20870.
Full textAbstract:
This thesis researches the possibility and feasibility of applying additive manufacturing technology in the manufacturing of propellers. The thesis concerns the production at the foundry Oshaug Metall AS. Their products consist of propellers and other large products cast in Nickel-Aluminium Bronze. This report looks at three approaches and applications for additive manufacturing at the foundry. These are additively manufactured pattern, sand mold and end metal parts. The available \emph{State of the Art} systems for the three approaches are listed and the systems suitability is discussed. The systems that meet the stated criteria are selected and further discussion on the advantages and disadvantages of the additive manufacturing approach to the application are carried out for the three respective applications. An experiment was carried out on a scaled propeller blade to measure the geometrical accuracy and surface quality of a 3D-printed pattern. The report is concluded with the conclusion to the stated task and recommendations for further work.
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Carrillo, Janice E. "Process improvements for manufacturing excellence." Diss., Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/29840.
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Defregger, Florian. "Revenue management for manufacturing companies /." kostenfrei, 2009. http://deposit.d-nb.de/cgi-bin/dokserv?idn=997408154.
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Iyer, Anand 1968. "Operating policies for manufacturing cells." Diss., The University of Arizona, 1996. http://hdl.handle.net/10150/290575.
Full textAbstract:
Manufacturing cells consisting of an empowered team of workers and the resources required to produce a family of related products have become popular in recent years. Such cells require significant changes in organizational policies for personnel, wage administration, accounting and scheduling. For example, there are usually fewer workers than machines and as a result cells are staffed by cross-trained workers. However, little is known about operating these cells since much of the research in this area has concentrated on the cell formation problem. This thesis discusses the issue of determining good operating policies for manufacturing cells. Operating policy refers to a protocol for setting lot sizes, transfer batch sizes, cell Work-In-Process limits and machine queue dispatching as well as worker assignment rules. Specific components of operating policies have been examined in isolation previously in different contexts. However, cell performance is determined not only by the individual components of policies but also by the nature of the interactions between them. Thus, it is imperative to study policies in an integrated manner in order to determine how best to utilize the limited resources of the cell. The initial part of the thesis is devoted to discussing a general framework which has been developed to parameterize operating policies. Specific policies can be recovered by assigning values to the parameters of the framework. A few examples illustrate the use of the framework. The remainder of the thesis focuses on the various ways in which the framework representation of policies can be used. This includes the development of a general purpose simulator using the Object-Oriented paradigm and analytical models for some policies. A comparison of various operating strategies using simulation and analytical models is also presented. The thesis concludes with a discussion of the insights gleaned from this work as well as directions for future work.
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He, Xuejian, and 何學儉. "Haptic modeling for virtual manufacturing." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2008. http://hub.hku.hk/bib/B40987978.
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Mercado, Ronaldo. "Voxel modelling for rapid manufacturing." Thesis, De Montfort University, 2001. http://hdl.handle.net/2086/4210.
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Dimopoulos, Christos. "Genetic programming for manufacturing optimisation." Thesis, University of Sheffield, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.327668.
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He, Xuejian. "Haptic modeling for virtual manufacturing." Click to view the E-thesis via HKUTO, 2008. http://sunzi.lib.hku.hk/hkuto/record/B40987978.
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Nilsson, Felix. "Image analysis for smart manufacturing." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-39856.
Full textAbstract:
The world of industrial manufacturing has changed a lot during the past decades. It has gone from a labour-intensive process of manual control of machines to a fully connected and automated process. The next big leap in industrial manufacturing is known as industry 4.0 or smart manufacturing. With industry 4.0 comes increased integration between IT systems and the factory floor. This change has proven challenging to implement into existing factories many with the intended lifespan of several decades. One of the single most important parameters to measure is the operating hours of each machine. This information can help companies better utilize their resources and save huge amounts of money. The goal is to develop a solution which can track the operating hours of the machines using image analysis and the signal lights already mounted on the machines. Using methods commonly used for traffic light recognition in autonomous cars, a system with an accuracy of over 99% during the specified conditions, has been developed. It is believed that if more diverse video data becomes available a system, with high reliability that generalizes well, could be developed using similar methodology.Industriell tillverkning har förändrats mycket under de senaste decennierna. Det har gått från en process som krävt mycket manuellt arbete till en process som är nästan helt uppkopplad och automatiserad. Nästa stora steg inom industriell tillverkning går under benämningen industri 4.0 eller smart tillverkning. Med industri 4.0 kommer en ökad integration mellan IT-system och fabriksgolvet. Denna förändring har visat sig vara särskilt svår att implementera i redan existerande fabriker som kan ha en förväntad livstid på flera årtionden. En av de viktigaste parametrarna att mäta inom industriell tillverkning är varje maskins operativa timmar. Denna information kan hjälpa företag att bättre utnyttja tillgängliga resurser och därigenom spara stora summor pengar. Målet är att utveckla en lösning som, med hjälp av bildanalys och de signalljus som maskinerna kommer utrustade med, kan mäta maskinernas operativa timmar. Med hjälp av metoder som vanligen används för trafikljusigenkänning i autonoma fordon har ett system med en träffsäkerhet på över 99% under de förutsättningar som presenteras i rapporten utvecklats. Om mer video med större variation blir tillgänglig är det mycket troligt att det går att utveckla ett system som har hög pålitlighet i de flesta produktionsmiljöer.
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Stec, David J. (David Joseph) 1968. "Performance measures for lean manufacturing." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/9887.
Full textAbstract:
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; and, (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management, 1998.Includes bibliographical references (p. 83-84).
by David J. Stec.
M.B.A.
S.M.