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Readme file for Computer Science Concepts

Description

This readme file contains details of links to all the Computer Science Concepts module's material held on Jorum and information about the module as well.

Subjects

ukoer | strings lecture | induction and recursion lecture | induction lecture | recursion lecture | complexity lecture | languages lecture | computer sciences concepts test | computer science concepts test | computer science concepts assignment | computer science concepts practical | introduction | computer science concepts | computer science concept | computer science | strings and languages | strings and language | string and languages | string and language | string | language | languages | finite automata | automata | finite | push down automata | push down | prolog | data structures and algorithms | data structure and algorithms | data structures and algorithm | data structure and algorithm | data structures | data structure | algorithms | algorithm | revision exercises | revision | induction and recursion | induction | recursion | turing machines | turing machine | turing | machine | machines | complexity | grammar | grammar and languages | grammar and language | introduction lecture | computer science concepts lecture | computer science concept lecture | computer science lecture | strings and languages lecture | strings and language lecture | string and languages lecture | string and language lecture | string lecture | language lecture | finite automata lecture | automata lecture | finite lecture | push down automata lecture | push down lecture | prolog lecture | data structures and algorithms lecture | data structure and algorithms lecture | data structures and algorithm lecture | data structure and algorithm lecture | data structures lecture | data structure lecture | algorithms lecture | algorithm lecture | revision exercises lecture | revision lecture | turing machines lecture | turing machine lecture | turing lecture | machine lecture | machines lecture | computer science class test | computer science concept class test | computer science concepts class test | strings and languages class test | strings and language class test | string and languages class test | string and language class test | string class test | language class test | languages class test | introduction class test | grammar lecture | grammar and languages lecture | grammar and language lecture | computer science assignment | computer science concept assignment | strings and languages assignment | strings and language assignment | string and languages assignment | string and language assignment | string assignment | language assignment | languages assignment | finite automata class test | automata class test | finite class test | finite automata assignment | automata assignment | finite assignment | push down automata class test | push down class test | push down automata assignment | push down assignment | prolog class test | data structures and algorithms class test | data structure and algorithms class test | data structures and algorithm class test | data structure and algorithm class test | data structures class test | data structure class test | algorithms class test | algorithm class test | computer science practical | computer science concept practical | data structures and algorithms practical | data structure and algorithms practical | data structures and algorithm practical | data structure and algorithm practical | data structures practical | data structure practical | algorithms practical | algorithm practical | revision exercises class test | revision class test | induction and recursion class test | induction class test | recursion class test | induction and recursion assignment | induction assignment | recursion assignment | turing machines class test | turing machine class test | turing class test | machine class test | machines class test | turing machines assignment | turing machine assignment | turing assignment | machine assignment | machines assignment | complexity class test | grammar class test | grammar and languages class test | grammar and language class test | Computer science | I100

License

Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales http://creativecommons.org/licenses/by-nc-sa/2.0/uk/ http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

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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 operation

License

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.htm

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Computer Science Concepts - Turing Machines

Description

This lecture forms part of the "Turing Machines" topic of the Computer Science Concepts module.

Subjects

ukoer | turing machines | computer science | computer science concept | computer science concepts | turing machine | turing | machine | machines | turing machines lecture | computer science lecture | computer science concept lecture | computer science concepts lecture | turing machine lecture | turing lecture | machine lecture | machines lecture | Computer science | I100

License

Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales http://creativecommons.org/licenses/by-nc-sa/2.0/uk/ http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

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Computer Science Concepts - Turing Machines

Description

This class test forms part of the "Turing Machines" topic of the Computer Science Concepts module.

Subjects

ukoer | computer science concepts test | turing machines | computer science | computer science concept | computer science concepts | turing machine | turing | machine | machines | turing machines class test | computer science class test | computer science concept class test | computer science concepts class test | turing machine class test | turing class test | machine class test | machines class test | Computer science | I100

License

Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales http://creativecommons.org/licenses/by-nc-sa/2.0/uk/ http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

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Computer Science Concepts - Turing Machines

Description

This class test forms part of the "Turing Machines" topic of the Computer Science Concepts module.

Subjects

ukoer | computer science concepts test | turing machines | computer science | computer science concept | computer science concepts | turing machine | turing | machine | machines | turing machines class test | computer science class test | computer science concept class test | computer science concepts class test | turing machine class test | turing class test | machine class test | machines class test | Computer science | I100

License

Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales http://creativecommons.org/licenses/by-nc-sa/2.0/uk/ http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

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Computer Science Concepts - Turing Machines

Description

This class test forms part of the "Turing Machines" topic of the Computer Science Concepts module.

Subjects

ukoer | computer science concepts test | turing machines | computer science | computer science concept | computer science concepts | turing machine | turing | machine | machines | turing machines class test | computer science class test | computer science concept class test | computer science concepts class test | turing machine class test | turing class test | machine class test | machines class test | Computer science | I100

License

Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales http://creativecommons.org/licenses/by-nc-sa/2.0/uk/ http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

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Computer Science Concepts - Turing Machines

Description

This assignment forms part of the "Turing Machines" topic of the Computer Science Concepts module.

Subjects

ukoer | turing machines | computer science | computer science concept | computer science concepts | turing machine | turing | machine | machines | turing machines assignment | computer science assignment | computer science concept assignment | computer science concepts assignment | turing machine assignment | turing assignment | machine assignment | machines assignment | Computer science | I100

License

Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales http://creativecommons.org/licenses/by-nc-sa/2.0/uk/ http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

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15.760B Introduction to Operations Management (MIT) 15.760B 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. 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 management

License

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.htm

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2.008 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 control

License

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.htm

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4.510 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 taxi

License

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.htm

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2.830J Control of Manufacturing Processes (SMA 6303) (MIT) 2.830J Control of Manufacturing Processes (SMA 6303) (MIT)

Description

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 manufacturing

License

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.htm

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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.

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 operation

License

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.htm

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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.

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 operation

License

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.htm

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Douglas 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 | commanderaircraftsales

License

No known copyright restrictions

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15.351 Managing Innovation and Entrepreneurship (MIT) 15.351 Managing Innovation and Entrepreneurship (MIT)

Description

This course discusses the basics every manager needs to organize successful technology-driven innovation in both entrepreneurial and established firms. We start by examining innovation-based strategies as a source of competitive advantage and then examine how to build organizations that excel at identifying, building and commercializing technological innovations. Major topics include how the innovation process works; creating an organizational environment that rewards innovation and entrepreneurship; designing appropriate innovation processes (e.g. stage-gate, portfolio management); organizing to take advantage of internal and external sources of innovation; and structuring entrepreneurial and established organizations for effective innovation. The course examines how entrepreneurs can sha This course discusses the basics every manager needs to organize successful technology-driven innovation in both entrepreneurial and established firms. We start by examining innovation-based strategies as a source of competitive advantage and then examine how to build organizations that excel at identifying, building and commercializing technological innovations. Major topics include how the innovation process works; creating an organizational environment that rewards innovation and entrepreneurship; designing appropriate innovation processes (e.g. stage-gate, portfolio management); organizing to take advantage of internal and external sources of innovation; and structuring entrepreneurial and established organizations for effective innovation. The course examines how entrepreneurs can sha

Subjects

innovation | innovation | technology | technology | strategy | strategy | product development | product development | new venture | new venture | process | process | open source | open source | organization | organization | entrepreuneurship | entrepreuneurship | S-curve | S-curve | market dynamics | market dynamics | portfolio management | portfolio management | innovation teams | innovation teams | flexible processes | flexible processes | competition | competition | iterative design | iterative design | incentivizing | incentivizing | value chain | value chain | corporate venturing | corporate venturing | internal venturing | internal venturing | uner-served customers | uner-served customers | over-served customers | over-served customers | disruption | disruption | diffusion | diffusion | market analysis | market analysis | project management | project management

License

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.htm

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2.854 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 6304

License

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.htm

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2.852 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 performance

License

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.htm

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15.066J System Optimization and Analysis for Manufacturing (MIT) 15.066J System Optimization and Analysis for Manufacturing (MIT)

Description

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 | 3.83

License

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.htm

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6.780 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 learning

License

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.htm

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2.882 System Design and Analysis based on AD and Complexity Theories (MIT) 2.882 System Design and Analysis based on AD and Complexity Theories (MIT)

Description

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 systems

License

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.htm

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15.760B 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 management

License

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.htm

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15.760B 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 management

License

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.htm

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2.971 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 thinking

License

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.htm

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15.391 Early Stage Capital (MIT) 15.391 Early Stage Capital (MIT)

Description

15.391 examines the elements of raising early stage capital, focusing on start-up ventures and the early stages of company development. This course also prepares entrepreneurs to make the best use of outside advisors, and to negotiate effective long-term relationships with funding sources. Working in teams, students interact with venture capitalists and other professionals throughout the semester. Disclaimer: The web sites for this course and the materials they offer are provided for educational use only. They are not a substitute for the advice of an attorney and no attorney-client relationship is created by using them. All materials are provided "as-is", without any express or implied warranties. 15.391 examines the elements of raising early stage capital, focusing on start-up ventures and the early stages of company development. This course also prepares entrepreneurs to make the best use of outside advisors, and to negotiate effective long-term relationships with funding sources. Working in teams, students interact with venture capitalists and other professionals throughout the semester. Disclaimer: The web sites for this course and the materials they offer are provided for educational use only. They are not a substitute for the advice of an attorney and no attorney-client relationship is created by using them. All materials are provided "as-is", without any express or implied warranties.

Subjects

raising venture capital | raising venture capital | starting business | starting business | structuring deals | structuring deals | valuating companies | valuating companies | entrepreneurship | entrepreneurship | venture capitalist | venture capitalist | finding early stage capital | finding early stage capital | negotiate investments | negotiate investments | new business laws | new business laws | financial simulations | financial simulations | build relationships | build relationships | start-up ventures | start-up ventures | company development | company development | using outside advisors | using outside advisors | funding sources | funding sources | term sheet | term sheet | VC | VC | entrepreneur | entrepreneur | pursuing seed money | pursuing seed money | biotechnology | biotechnology | biotech | biotech | angel financing | angel financing | first round money | first round money

License

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.htm

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2.830J 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 manufacturing

License

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.htm

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