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2.008 Design and Manufacturing II (MIT) 2.008 Design and Manufacturing II (MIT)
Description
This course introduces you to modern manufacturing with four areas of emphasis: manufacturing processes, equipment/control, systems, and design for manufacturing. The course exposes you to integration of engineering and management disciplines for determining manufacturing rate, cost, quality and flexibility. Topics include process physics, equipment design and automation/control, quality, design for manufacturing, industrial management, and systems design and operation. Labs are integral parts of the course, and expose you to various manufacturing disciplines and practices. This course introduces you to modern manufacturing with four areas of emphasis: manufacturing processes, equipment/control, systems, and design for manufacturing. The course exposes you to integration of engineering and management disciplines for determining manufacturing rate, cost, quality and flexibility. Topics include process physics, equipment design and automation/control, quality, design for manufacturing, industrial management, and systems design and operation. Labs are integral parts of the course, and expose you to various manufacturing disciplines and practices.Subjects
modern manufacturing | modern manufacturing | manufacturing processes | manufacturing processes | equipment/control | equipment/control | systems | systems | design for manufacturing | design for manufacturing | integration of engineering and management disciplines | integration of engineering and management disciplines | manufacturing rate | manufacturing rate | cost | cost | quality | quality | flexibility | flexibility | process physics | process physics | equipment design | equipment design | automation/control | automation/control | industrial management | industrial management | systems design and operation | systems design and operationLicense
Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htmSite sourced from
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This half-term course introduces students to problems and analysis related to the design, planning, control, and improvement of manufacturing and service operations. Class sessions involve explaining concepts, working examples, and discussing cases. A wide range of topics are covered, including: process analysis, quality management, supply chain design, procurement, and product development. Toward the end of the course, students work in teams to manage a virtual factory in a web-based simulation exercise. This half-term course introduces students to problems and analysis related to the design, planning, control, and improvement of manufacturing and service operations. Class sessions involve explaining concepts, working examples, and discussing cases. A wide range of topics are covered, including: process analysis, quality management, supply chain design, procurement, and product development. Toward the end of the course, students work in teams to manage a virtual factory in a web-based simulation exercise.Subjects
operations management | operations management | service operations | service operations | manufacturing design | manufacturing design | manufacturing planning | manufacturing planning | production control | production control | quality management | quality management | process design | process design | reengineering | reengineering | product development | product development | project management | project management | supply chain design | supply chain design | improving manufacturing processes | improving manufacturing processes | capacity | capacity | inventory | inventory | quality control | quality control | product design | product design | factory management | factory managementLicense
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See all metadata2.008 Design and Manufacturing II (MIT) 2.008 Design and Manufacturing II (MIT)
Description
Integration of design, engineering, and management disciplines and practices for analysis and design of manufacturing enterprises. Emphasis is on the physics and stochastic nature of manufacturing processes and systems, and their effects on quality, rate, cost, and flexibility. Topics include process physics and control, design for manufacturing, and manufacturing systems. Group project requires design and fabrication of parts using mass-production and assembly methods to produce a product in quantity. Integration of design, engineering, and management disciplines and practices for analysis and design of manufacturing enterprises. Emphasis is on the physics and stochastic nature of manufacturing processes and systems, and their effects on quality, rate, cost, and flexibility. Topics include process physics and control, design for manufacturing, and manufacturing systems. Group project requires design and fabrication of parts using mass-production and assembly methods to produce a product in quantity.Subjects
manufacturing enterprises | manufacturing enterprises | physics | physics | stochastic nature of manufacturing processes | stochastic nature of manufacturing processes | quality | quality | rate | rate | cost | cost | flexibility | flexibility | process physics | process physics | process control | process controlLicense
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See all metadata4.510 Digital Design Fabrication (MIT) 4.510 Digital Design Fabrication (MIT)
Description
This course will guide graduate students through the process of using rapid prototyping and CAD/CAM devices in a studio environment. The class has a theoretical focus on machine use within the process of design. Each student is expected to have completed one graduate level of design computing with a full understanding of solid modeling in CAD. Students are also expected to have completed at least one graduate design studio. This course will guide graduate students through the process of using rapid prototyping and CAD/CAM devices in a studio environment. The class has a theoretical focus on machine use within the process of design. Each student is expected to have completed one graduate level of design computing with a full understanding of solid modeling in CAD. Students are also expected to have completed at least one graduate design studio.Subjects
digital fabrication | digital fabrication | design | design | cad | cad | cam | cam | digital manufacturing | digital manufacturing | assembly | assembly | design geometry | design geometry | fabrication | fabrication | drafting | drafting | modeling | modeling | printing | printing | waterjet cutting | waterjet cutting | cnc manufacturing | cnc manufacturing | generative fabrication | generative fabrication | construction grammars | construction grammars | prototyping | prototyping | boston water taxi | boston water taxiLicense
Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htmSite sourced from
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Includes audio/video content: AV special element video, AV lectures. This course explores statistical modeling and control in manufacturing processes. Topics include the use of experimental design and response surface modeling to understand manufacturing process physics, as well as defect and parametric yield modeling and optimization. Various forms of process control, including statistical process control, run by run and adaptive control, and real-time feedback control, are covered. Application contexts include semiconductor manufacturing, conventional metal and polymer processing, and emerging micro-nano manufacturing processes. Includes audio/video content: AV special element video, AV lectures. This course explores statistical modeling and control in manufacturing processes. Topics include the use of experimental design and response surface modeling to understand manufacturing process physics, as well as defect and parametric yield modeling and optimization. Various forms of process control, including statistical process control, run by run and adaptive control, and real-time feedback control, are covered. Application contexts include semiconductor manufacturing, conventional metal and polymer processing, and emerging micro-nano manufacturing processes.Subjects
2.830 | 2.830 | 6.780 | 6.780 | ESD.63 | ESD.63 | Process control | Process control | manufacturing process | manufacturing process | discrete system feedback control theory | discrete system feedback control theory | empirical and adaptive modeling | empirical and adaptive modeling | off-line optimization | off-line optimization | statistical process control | statistical process control | real-time control. | real-time control. | real-time control | real-time control | one-factor-at-a-time | one-factor-at-a-time | robustness | robustness | Shewhart Hypothesis | Shewhart Hypothesis | semiconductor manufacturing | semiconductor manufacturingLicense
Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htmSite sourced from
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See all metadata2.008 Design and Manufacturing II (MIT)
Description
This course introduces you to modern manufacturing with four areas of emphasis: manufacturing processes, equipment/control, systems, and design for manufacturing. The course exposes you to integration of engineering and management disciplines for determining manufacturing rate, cost, quality and flexibility. Topics include process physics, equipment design and automation/control, quality, design for manufacturing, industrial management, and systems design and operation. Labs are integral parts of the course, and expose you to various manufacturing disciplines and practices.Subjects
modern manufacturing | manufacturing processes | equipment/control | systems | design for manufacturing | integration of engineering and management disciplines | manufacturing rate | cost | quality | flexibility | process physics | equipment design | automation/control | industrial management | systems design and operationLicense
Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htmSite sourced from
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Description
This course introduces you to modern manufacturing with four areas of emphasis: manufacturing processes, equipment/control, systems, and design for manufacturing. The course exposes you to integration of engineering and management disciplines for determining manufacturing rate, cost, quality and flexibility. Topics include process physics, equipment design and automation/control, quality, design for manufacturing, industrial management, and systems design and operation. Labs are integral parts of the course, and expose you to various manufacturing disciplines and practices.Subjects
modern manufacturing | manufacturing processes | equipment/control | systems | design for manufacturing | integration of engineering and management disciplines | manufacturing rate | cost | quality | flexibility | process physics | equipment design | automation/control | industrial management | systems design and operationLicense
Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htmSite sourced from
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See all metadataDouglas DC-3 United AL publicity photo Douglas DC-3 United AL publicity photo
Description
Subjects
airplane | airplane | aircraft | aircraft | aviation | aviation | united | united | aeroplane | aeroplane | dac | dac | douglas | douglas | airlines | airlines | eastern | eastern | dc3 | dc3 | ual | ual | airliners | airliners | unitedairlines | unitedairlines | 1911 | 1911 | eal | eal | easternairlines | easternairlines | douglasdc3 | douglasdc3 | wrightcyclone | wrightcyclone | r1820 | r1820 | douglasaircraft | douglasaircraft | douglasdc3a | douglasdc3a | dc3a | dc3a | douglasaircraftcompany | douglasaircraftcompany | cn1911 | cn1911 | wrightcycloner1820 | wrightcycloner1820 | wrightr1820 | wrightr1820 | wrightr1820cyclone | wrightr1820cyclone | eiayo | eiayo | dc3a197 | dc3a197 | n655gp | n655gp | n333h | n333h | douglasdc3a197 | douglasdc3a197 | nc16071 | nc16071 | mainlinerlosangeles | mainlinerlosangeles | aircraftenterprises | aircraftenterprises | n65556 | n65556 | n255jb | n255jb | n8695e | n8695e | enhartmanufacturingcompany | enhartmanufacturingcompany | enhartmanufacturing | enhartmanufacturing | commanderaircraftsales | commanderaircraftsalesLicense
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See all metadata2.854 Manufacturing Systems I (SMA 6304) (MIT) 2.854 Manufacturing Systems I (SMA 6304) (MIT)
Description
As the first in a sequence of four half-term courses, this course will provide the fundamental building blocks for conceptualizing, understanding and optimizing manufacturing systems and supply chains. These building blocks include process analysis, queuing theory, simulation, forecasting, inventory theory and linear programming. This course was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 6304 (Manufacturing Systems I: Analytical Methods and Flow Models). As the first in a sequence of four half-term courses, this course will provide the fundamental building blocks for conceptualizing, understanding and optimizing manufacturing systems and supply chains. These building blocks include process analysis, queuing theory, simulation, forecasting, inventory theory and linear programming. This course was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 6304 (Manufacturing Systems I: Analytical Methods and Flow Models).Subjects
conceptualizing | conceptualizing | understanding and optimizing manufacturing systems and supply chains | understanding and optimizing manufacturing systems and supply chains | process analysis | process analysis | queueing theory | queueing theory | simulation | simulation | forecasting | forecasting | inventory theory | inventory theory | linear programming | linear programming | conceptualizing | understanding and optimizing manufacturing systems and supply chains | conceptualizing | understanding and optimizing manufacturing systems and supply chains | SMA 6304 | SMA 6304License
Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htmSite sourced from
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See all metadata2.852 Manufacturing Systems Analysis (MIT) 2.852 Manufacturing Systems Analysis (MIT)
Description
This course deals with the following topics: Models of manufacturing systems, including transfer lines and flexible manufacturing systems; Calculation of performance measures, including throughput, in-process inventory, and meeting production commitments; Real-time control of scheduling; Effects of machine failure, set-ups, and other disruptions on system performance. This course deals with the following topics: Models of manufacturing systems, including transfer lines and flexible manufacturing systems; Calculation of performance measures, including throughput, in-process inventory, and meeting production commitments; Real-time control of scheduling; Effects of machine failure, set-ups, and other disruptions on system performance.Subjects
models | models | manufacturing systems | manufacturing systems | transfer lines | transfer lines | flexible manufacturing systems | flexible manufacturing systems | Calculation of performance measures | Calculation of performance measures | throughput | throughput | in-process inventory | in-process inventory | meeting production commitments | meeting production commitments | Real-time control of scheduling | Real-time control of scheduling | Effects of machine failure | Effects of machine failure | disruptions on system performance | disruptions on system performanceLicense
Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htmSite sourced from
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One objective of 15.066J is to introduce modeling, optimization and simulation, as it applies to the study and analysis of manufacturing systems for decision support. The introduction of optimization models and algorithms provide a framework to think about a wide range of issues that arise in manufacturing systems. The second objective is to expose students to a wide range of applications for these methods and models, and to integrate this material with their introduction to operations management. One objective of 15.066J is to introduce modeling, optimization and simulation, as it applies to the study and analysis of manufacturing systems for decision support. The introduction of optimization models and algorithms provide a framework to think about a wide range of issues that arise in manufacturing systems. The second objective is to expose students to a wide range of applications for these methods and models, and to integrate this material with their introduction to operations management.Subjects
modeling | modeling | optimization | optimization | simulation | simulation | manufacturing systems | manufacturing systems | decision making | decision making | decision support | decision support | probabilistic simulation | probabilistic simulation | designing manufacturing systems | designing manufacturing systems | operations management | operations management | linear programming | linear programming | sensitivity analysis | sensitivity analysis | network flow problems | network flow problems | non-linear programming | non-linear programming | Lagrange multipliers | Lagrange multipliers | integer programming | integer programming | discrete-event simulation | discrete-event simulation | heuristics | heuristics | algorithms | algorithms | 15.066 | 15.066 | 2.851 | 2.851 | 3.83 | 3.83License
Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htmSite sourced from
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See all metadata6.780 Semiconductor Manufacturing (MIT) 6.780 Semiconductor Manufacturing (MIT)
Description
6.780 covers statistical modeling and the control of semiconductor fabrication processes and plants. Topics covered include: design of experiments, response surface modeling, and process optimization; defect and parametric yield modeling; process/device/circuit yield optimization; monitoring, diagnosis, and feedback control of equipment and processes; and analysis and scheduling of semiconductor manufacturing operations. 6.780 covers statistical modeling and the control of semiconductor fabrication processes and plants. Topics covered include: design of experiments, response surface modeling, and process optimization; defect and parametric yield modeling; process/device/circuit yield optimization; monitoring, diagnosis, and feedback control of equipment and processes; and analysis and scheduling of semiconductor manufacturing operations.Subjects
Semiconductor manufacturing | Semiconductor manufacturing | statistics | statistics | distributions | distributions | estimation | estimation | hypothesis testing | hypothesis testing | statistical process control | statistical process control | control chart | control chart | control chart design | control chart design | design of experiments | design of experiments | empirical equipment | empirical equipment | process modeling | process modeling | experimental design | experimental design | yield models | yield models | spatial variation | spatial variation | spatial models | spatial models | design for manufacturability | design for manufacturability | equipment monitoring | equipment monitoring | equipment diagnosis | equipment diagnosis | equipment control | equipment control | run by run | run by run | multistage process control | multistage process control | scheduling | scheduling | planning | planning | factory modeling | factory modeling | factory infrastructure | factory infrastructure | environmental | environmental | health and safety | health and safety | computer integrated manufacturing | computer integrated manufacturing | factory operation | factory operation | factory design | factory design | advanced process control | advanced process control | yield learning | yield learningLicense
Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htmSite sourced from
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This course studies what makes a good design and how one develops a good design. Students consider how the design of engineered systems (such as hardware, software, materials, and manufacturing systems) differ from the "design" of natural systems such as biological systems; discuss complexity and how one makes use of complexity theory to improve design; and discover how one uses axiomatic design theory (AD theory) in design of many different kinds of engineered systems. Questions are analyzed using Axiomatic Design Theory and Complexity Theory. Case studies are presented including the design of machines, tribological systems, materials, manufacturing systems, and recent inventions. Implications of AD and complexity theories on biological systems discussed. This course studies what makes a good design and how one develops a good design. Students consider how the design of engineered systems (such as hardware, software, materials, and manufacturing systems) differ from the "design" of natural systems such as biological systems; discuss complexity and how one makes use of complexity theory to improve design; and discover how one uses axiomatic design theory (AD theory) in design of many different kinds of engineered systems. Questions are analyzed using Axiomatic Design Theory and Complexity Theory. Case studies are presented including the design of machines, tribological systems, materials, manufacturing systems, and recent inventions. Implications of AD and complexity theories on biological systems discussed.Subjects
information content | information content | electrical connector | electrical connector | constraint | constraint | complexity | complexity | manufacturing | manufacturing | design | design | functional requirement | functional requirement | requirement | requirement | tradeoff | tradeoff | optimization | optimization | engineered systems | engineered systems | natural systems | natural systems | complexity theory | complexity theory | axiomatic design | axiomatic design | tribology | tribology | tribological systems | tribological systems | manufacturing systems | manufacturing systems | biological systems | biological systemsLicense
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See all metadata15.760B Introduction to Operations Management (MIT)
Description
This half-term course introduces students to problems and analysis related to the design, planning, control, and improvement of manufacturing and service operations. Class sessions involve explaining concepts, working examples, and discussing cases. A wide range of topics are covered, including: process analysis, quality management, supply chain design, procurement, and product development. Toward the end of the course, students work in teams to manage a virtual factory in a web-based simulation exercise.Subjects
operations management | service operations | manufacturing design | manufacturing planning | production control | quality management | process design | reengineering | product development | project management | supply chain design | improving manufacturing processes | capacity | inventory | quality control | product design | factory managementLicense
Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htmSite sourced from
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See all metadata15.760B Introduction to Operations Management (MIT)
Description
This half-term course introduces students to problems and analysis related to the design, planning, control, and improvement of manufacturing and service operations. Class sessions involve explaining concepts, working examples, and discussing cases. A wide range of topics are covered, including: process analysis, quality management, supply chain design, procurement, and product development. Toward the end of the course, students work in teams to manage a virtual factory in a web-based simulation exercise.Subjects
operations management | service operations | manufacturing design | manufacturing planning | production control | quality management | process design | reengineering | product development | project management | supply chain design | improving manufacturing processes | capacity | inventory | quality control | product design | factory managementLicense
Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htmSite sourced from
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See all metadata2.971 2nd Summer Introduction to Design (MIT) 2.971 2nd Summer Introduction to Design (MIT)
Description
Introduce students to the creative design process, based on the scientific method and peer review, by application of fundamental principles and learning to complete projects according to schedule and within budget. Subject relies on active learning through a major team-based design-and-build project focused on the need for a new consumer product identified by each team. Topics to be learned while teams create, design, build, and test their product ideas include formulating strategies, concepts and modules, and estimation, concept selection, machine elements, design for manufacturing, visual thinking, communication, teamwork, and professional responsibilities. Introduce students to the creative design process, based on the scientific method and peer review, by application of fundamental principles and learning to complete projects according to schedule and within budget. Subject relies on active learning through a major team-based design-and-build project focused on the need for a new consumer product identified by each team. Topics to be learned while teams create, design, build, and test their product ideas include formulating strategies, concepts and modules, and estimation, concept selection, machine elements, design for manufacturing, visual thinking, communication, teamwork, and professional responsibilities.Subjects
creative design process | creative design process | scientific method | scientific method | peer review | peer review | fundamental principles | fundamental principles | team-based | team-based | design-and-build project focused on the need for a new consumer product | design-and-build project focused on the need for a new consumer product | concept selection | concept selection | machine elements | machine elements | manufacturing design | manufacturing design | visual thinking | visual thinkingLicense
Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htmSite sourced from
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See all metadata2.830J Control of Manufacturing Processes (SMA 6303) (MIT)
Description
This course explores statistical modeling and control in manufacturing processes. Topics include the use of experimental design and response surface modeling to understand manufacturing process physics, as well as defect and parametric yield modeling and optimization. Various forms of process control, including statistical process control, run by run and adaptive control, and real-time feedback control, are covered. Application contexts include semiconductor manufacturing, conventional metal and polymer processing, and emerging micro-nano manufacturing processes.Subjects
2.830 | 6.780 | ESD.63 | Process control | manufacturing process | discrete system feedback control theory | empirical and adaptive modeling | off-line optimization | statistical process control | real-time control. | real-time control | one-factor-at-a-time | robustness | Shewhart Hypothesis | semiconductor manufacturingLicense
Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htmSite sourced from
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Includes audio/video content: AV special element video. The Girls Who Build: Make Your Own Wearables workshop for high school girls is an introduction to computer science, electrical and mechanical engineering through wearable technology. The workshop, developed by MIT Lincoln Laboratory, consists of two major hands-on projects in manufacturing and wearable electronics. These include 3D printing jewelry and laser cutting a purse, as well as programming LEDs to light up when walking. Participants learn the design process, 3D computer modeling, and machine shop tools, in addition to writing code and building a circuit. Includes audio/video content: AV special element video. The Girls Who Build: Make Your Own Wearables workshop for high school girls is an introduction to computer science, electrical and mechanical engineering through wearable technology. The workshop, developed by MIT Lincoln Laboratory, consists of two major hands-on projects in manufacturing and wearable electronics. These include 3D printing jewelry and laser cutting a purse, as well as programming LEDs to light up when walking. Participants learn the design process, 3D computer modeling, and machine shop tools, in addition to writing code and building a circuit.Subjects
high school | high school | workshop | workshop | women in STEM | women in STEM | fashion | fashion | jewelry | jewelry | 3D printing | 3D printing | laser cut | laser cut | wearable | wearable | programming | programming | Arduino | Arduino | manufacturing | manufacturing | mechanical design | mechanical design | circuits | circuits | code | codeLicense
Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htmSite sourced from
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See all metadata15.792J Proseminar in Manufacturing (MIT) 15.792J Proseminar in Manufacturing (MIT)
Description
This course provides an integrative forum for Operations and Manufacturing students and is the focus for projects in leadership, service, and improvement. It covers a set of integrative manufacturing topics or issues such as leadership and related topics, and includes presentations by guest speakers such as senior level managers of manufacturing companies. Subject is largely managed by students.This course is primarily for LFM Fellows and Operations and Manufacturing Track students. This course provides an integrative forum for Operations and Manufacturing students and is the focus for projects in leadership, service, and improvement. It covers a set of integrative manufacturing topics or issues such as leadership and related topics, and includes presentations by guest speakers such as senior level managers of manufacturing companies. Subject is largely managed by students.This course is primarily for LFM Fellows and Operations and Manufacturing Track students.Subjects
leadership skills | leadership skills | improve the Boston | improve the Boston | MIT | MIT | Sloan or LFM communities applying leadership | Sloan or LFM communities applying leadership | management | management | and service skills | and service skills | public service | public service | improve the Boston | MIT | Sloan or LFM communities | improve the Boston | MIT | Sloan or LFM communities | leadership | management | and service skills | leadership | management | and service skills | operations | operations | manufacturing | manufacturing | 15.792 | 15.792 | 2.890 | 2.890 | 3.80 | 3.80 | 10.792 | 10.792 | 16.985 | 16.985License
Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htmSite sourced from
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Includes audio/video content: AV special element video. According to the United States Agency for International Development, 20 million people in developing countries require wheelchairs, and the United Nations Development Programme estimates below 1% of their need is being met in Africa by local production. Wheelchair Design in Developing Countries (WDDC) gives students the chance to better the lives of others by improving wheelchairs and tricycles made in the developing world. Lectures will focus on understanding local factors, such as operating environments, social stigmas against the disabled, and manufacturing constraints, and then applying sound scientific/engineering knowledge to develop appropriate technical solutions. Multidisciplinary student teams will conduct term-long projects Includes audio/video content: AV special element video. According to the United States Agency for International Development, 20 million people in developing countries require wheelchairs, and the United Nations Development Programme estimates below 1% of their need is being met in Africa by local production. Wheelchair Design in Developing Countries (WDDC) gives students the chance to better the lives of others by improving wheelchairs and tricycles made in the developing world. Lectures will focus on understanding local factors, such as operating environments, social stigmas against the disabled, and manufacturing constraints, and then applying sound scientific/engineering knowledge to develop appropriate technical solutions. Multidisciplinary student teams will conduct term-long projectsSubjects
appropriate technology | appropriate technology | engineering | engineering | local production | local production | third world | third world | disabled | disabled | disability | disability | assistive technology | assistive technology | human power | human power | Africa | Africa | Tanzania | Tanzania | Zambia | Zambia | Kenya | Kenya | handicap | handicap | handicapped | handicapped | poverty | poverty | rural | rural | discrimination | discrimination | orthopedic | orthopedic | mobility | mobility | tricycle | tricycle | handcycle | handcycle | product design | product design | business plan | business plan | ergonomics | ergonomics | manufacturing | manufacturing | stakeholder | stakeholder | service learning | service learningLicense
Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htmSite sourced from
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This course provides an in-depth technical and policy analysis of various options for the nuclear fuel cycle. Topics include uranium supply, enrichment fuel fabrication, in-core physics and fuel management of uranium, thorium and other fuel types, reprocessing and waste disposal. Also covered are the principles of fuel cycle economics and the applied reactor physics of both contemporary and proposed thermal and fast reactors. Nonproliferation aspects, disposal of excess weapons plutonium, and transmutation of actinides and selected fission products in spent fuel are examined. Several state-of-the-art computer programs are provided for student use in problem sets and term papers. This course provides an in-depth technical and policy analysis of various options for the nuclear fuel cycle. Topics include uranium supply, enrichment fuel fabrication, in-core physics and fuel management of uranium, thorium and other fuel types, reprocessing and waste disposal. Also covered are the principles of fuel cycle economics and the applied reactor physics of both contemporary and proposed thermal and fast reactors. Nonproliferation aspects, disposal of excess weapons plutonium, and transmutation of actinides and selected fission products in spent fuel are examined. Several state-of-the-art computer programs are provided for student use in problem sets and term papers.Subjects
nuclear fuel | nuclear fuel | core design criteria | core design criteria | in-core aspects | in-core aspects | nuclear fuel cycle | nuclear fuel cycle | operations | operations | economics | economics | fast reactors | fast reactors | CANDU physics | CANDU physics | fuel cycle | fuel cycle | coupled reactor analysis | coupled reactor analysis | fuel manufacturing and design | fuel manufacturing and design | thorium fuel cycles | thorium fuel cyclesLicense
Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htmSite sourced from
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See all metadata15.769 Operations Strategy (MIT) 15.769 Operations Strategy (MIT)
Description
The class provides a unifying framework for analyzing strategic issues in manufacturing and service operations. Relationships between manufacturing and service companies and their suppliers, customers, and competitors are analyzed. The material also covers decisions in technology, facilities, vertical integration, human resources and other strategic areas. Means of competition such as cost, quality, and innovativeness are explored, together with an approach to make operations decisions in the era of outsourcing and globalization. The class provides a unifying framework for analyzing strategic issues in manufacturing and service operations. Relationships between manufacturing and service companies and their suppliers, customers, and competitors are analyzed. The material also covers decisions in technology, facilities, vertical integration, human resources and other strategic areas. Means of competition such as cost, quality, and innovativeness are explored, together with an approach to make operations decisions in the era of outsourcing and globalization.Subjects
operations | operations | reengineering | reengineering | process design | process design | manufacturing | manufacturing | stragegy | stragegy | supply chain | supply chain | three dimensional concurrent engineering | three dimensional concurrent engineering | charles fine | charles fine | clockspeed | clockspeed | product development | product developmentLicense
Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htmSite sourced from
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See all metadata2.854 Manufacturing Systems I (SMA 6304) (MIT)
Description
As the first in a sequence of four half-term courses, this course will provide the fundamental building blocks for conceptualizing, understanding and optimizing manufacturing systems and supply chains. These building blocks include process analysis, queuing theory, simulation, forecasting, inventory theory and linear programming. This course was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 6304 (Manufacturing Systems I: Analytical Methods and Flow Models).Subjects
conceptualizing | understanding and optimizing manufacturing systems and supply chains | process analysis | queueing theory | simulation | forecasting | inventory theory | linear programming | conceptualizing | understanding and optimizing manufacturing systems and supply chains | SMA 6304License
Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htmSite sourced from
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See all metadata15.761 Operations Management (MIT) 15.761 Operations Management (MIT)
Description
This course will introduce concepts and techniques for design, planning and control of manufacturing and service operations. The course provides basic definitions of operations management terms, tools and techniques for analyzing operations, and strategic context for making operational decisions. We present the material in five modules: Operations Analysis Coordination and Planning Quality Management Project Management Logistics and Supply Chain Management This course will introduce concepts and techniques for design, planning and control of manufacturing and service operations. The course provides basic definitions of operations management terms, tools and techniques for analyzing operations, and strategic context for making operational decisions. We present the material in five modules: Operations Analysis Coordination and Planning Quality Management Project Management Logistics and Supply Chain ManagementSubjects
manufacturing | manufacturing | service | service | analyzing operations | analyzing operations | operational decisions | operational decisions | operations analysis | operations analysis | quality management | quality management | project management | project management | logistics | logistics | supply chain management | supply chain management | job shop operations | job shop operations | process matching | process matching | queuing | queuing | forecasting | forecasting | queueing | queueing | analysis | analysis | analyzing | analyzing | operations | operations | coordination | coordination | planning | planning | quality | quality | project | project | management | management | supply chain | supply chain | job shop | job shop | decisions | decisions | decision making | decision making | operational | operational | design | design | control | control | materials | materials | production | production | scheduling | scheduling | reengineering | reengineering | capacity | capacity | facilities | facilities | strategy | strategy | process | process | processes | processes | matching | matching | inventory | inventory | vendor | vendor | customer | customerLicense
Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htmSite sourced from
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See all metadataEnvironmental Issues in Materials Selection (MIT) Environmental Issues in Materials Selection (MIT)
Description
Choice of material has implications throughout the life-cycle of a product, influencing many aspects of economic and environmental performance. This course will provide a survey of methods for evaluating those implications. Lectures will cover topics in material choice concepts, fundamentals of engineering economics, manufacturing economics modeling methods, and life-cycle environmental evaluation. Choice of material has implications throughout the life-cycle of a product, influencing many aspects of economic and environmental performance. This course will provide a survey of methods for evaluating those implications. Lectures will cover topics in material choice concepts, fundamentals of engineering economics, manufacturing economics modeling methods, and life-cycle environmental evaluation.Subjects
cost | cost | value | value | cash flow | cash flow | discount | discount | life-cycle | life-cycle | engineering economics | engineering economics | manufacturing economics | manufacturing economics | LCA | LCA | life-cycle assessment | life-cycle assessment | PCBM | PCBM | process-based cost modeling | process-based cost modeling | cost model | cost model | environmental impact | environmental impact | uncertainty | uncertainty | consumption | consumption | efficiency | efficiency | waste | waste | Ashby | AshbyLicense
Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htmSite sourced from
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