New courses in Engineering Systems Division from MIT OpenCourseWare, provider of free and open MIT course materials. https://ocw.mit.edu/courses/engineering-systems-division 2022-02-11T17:21:52+05:00 MIT OpenCourseWare https://ocw.mit.edu en-US 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 The half-semester graduate course in Green Supply Chain Management will focus on the fundamental strategies, tools and techniques required to analyze and design environmentally sustainable supply chain systems. Topics covered include: Closed-loop supply chains, reverse logistics systems, carbon footprinting, life-cycle analysis and supply chain sustainability strategy.Class sessions will combine presentations, case discussions and guest speakers. All students will work on a course-long team project that critically evaluates the environmental supply chain strategy of an industry or a publicly traded company. Grades will be based on class participation, case study assignments and the team project. https://ocw.mit.edu/courses/engineering-systems-division/esd-s43-green-supply-chain-management-spring-2014 Spring 2014 Blanco, Edgar Bateman, Alexis Craig, Anthony 2015-08-21T16:19:49+05:00 ESD.S43 en-US supply chain management Carbon footprint life cycle analysis environmental policy environmentally sustainable supply chain systems reverse logistics systems supply chain sustainability strategy multi-stakeholder engagements green supply chain strategy Carbon Disclosure Project MIT OpenCourseWare https://ocw.mit.edu 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 SLaM (Systems Leadership and Management) Praxis is a course is designed to introduce students to the dynamics of strategic decision making in corporate boardrooms through team exercises, simulations, and role playing. The case studies and team exercises will introduce students to strategy choices in the high tech sector, but these learnings are just as valid in other industries. We will also have invited guest speakers from the industry who have lived through difficult corporate situations and can provide insights into the cases discussed in class. https://ocw.mit.edu/courses/engineering-systems-division/esd-s51-systems-leadership-and-management-praxis-summer-2014 Summer 2014 Davies, Michael A. M. 2015-07-27T17:11:24+05:00 ESD.S51 en-US decision-making leadership development high-tech business smartphones management high-tech competition Back Bay Battery online simulation Nokia HTC Apple Sony Research in Motion MIT OpenCourseWare https://ocw.mit.edu 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 Learn to produce great designs, be a more effective engineer, and communicate with high emotional and intellectual impact. This project based course gives students the ability to understand, contextualize, and analyze engineering designs and systems. By learning and applying design thinking, students will more effectively solve problems in any domain. Lectures focus on teaching a tested, iterative design process as well as techniques to sharpen creative analysis. Guest lectures from all disciplines illustrate different approaches to design thinking. This course develops students' skills to conceive, organize, lead, implement, and evaluate successful projects in any engineering discipline. Additionally, students learn how to give compelling in-person presentations. Open to all majors, all years. https://ocw.mit.edu/courses/engineering-systems-division/esd-051j-engineering-innovation-and-design-fall-2012 Fall 2012 Kotelly, Blade Schindall, Joel E 2014-09-24T21:18:38+05:00 ESD.051J 6.902J en-US ESD.051 ESD.051J 6.902 6.902J design thinking technology innovation product design engineering design industrial design design process creative analysis design project implementation usability user experience MIT OpenCourseWare https://ocw.mit.edu 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 Subject focuses on management principles, methods, and tools to effectively plan and implement successful system and product development projects. Material is divided into four major sections: project preparation, planning, monitoring, and adaptation. Brief review of classical techniques such as CPM and PERT. Emphasis on new methodologies and tools such as Design Structure Matrix (DSM), probabilistic project simulation, as well as project system dynamics (SD). Topics are covered from strategic, tactical, and operational perspectives. Industrial case studies expose factors that are typical drivers of success and failure in complex projects with both hardware and software content. Term projects analyze and evaluate past and ongoing projects in student's area of interest. Projects used to apply concepts discussed in class. https://ocw.mit.edu/courses/engineering-systems-division/esd-36-system-project-management-fall-2012 Fall 2012 de Weck, Olivier Lyneis, James Braha, Dan 2013-08-14T20:34:48+05:00 ESD.36 en-US system project management product development complex system development project planning project simulation critical path method (CPM) PERT design structure matrices (DSM) critical chain system dynamics MIT OpenCourseWare https://ocw.mit.edu 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 Students in ESD.00 work on projects to address large, complex and seemingly intractable real-world problems, such as energy supply, environmental issues, health care delivery, and critical infrastructure (e.g., telecommunications, water supply, and transportation). The course introduces interdisciplinary approaches - rooted in engineering, management, and the social sciences - to considering these critical contemporary issues. Small, faculty-led teams select an engineering systems term project to illustrate one or more of these approaches. https://ocw.mit.edu/courses/engineering-systems-division/esd-00-introduction-to-engineering-systems-spring-2011 Spring 2011 Sussman, Joseph Siddiqi, Afreen Clewlow, Regina 2012-01-03T21:29:22+05:00 ESD.00 en-US systems engineering system dynamics complex sociotechnical systems uncertainty networks MIT OpenCourseWare https://ocw.mit.edu 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 This course provides a deep understanding of engineering systems at a level intended for research on complex engineering systems. It provides a review and extension of what is known about system architecture and complexity from a theoretical point of view while examining the origins of and recent developments in the field. The class considers how and where the theory has been applied, and uses key analytical methods proposed. Students examine the level of observational (qualitative and quantitative) understanding necessary for successful use of the theoretical framework for a specific engineering system. Case studies apply the theory and principles to engineering systems. https://ocw.mit.edu/courses/engineering-systems-division/esd-342-network-representations-of-complex-engineering-systems-spring-2010 Spring 2010 Magee, Christopher L. Whitney, Daniel E. Moses, Joel 2011-05-31T19:45:14+05:00 ESD.342 en-US enterprise architecture complex networks quantitative metrics affiliation networks decomposition methods percolation theory MIT OpenCourseWare https://ocw.mit.edu 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 This seminar applies a systems perspective to understand health care delivery today, its stakeholders and problems as well as opportunities. Students are introduced to the 'systems perspective' that has been used successfully in other industries, and will address the introduction of new processes, technologies and strategies to improve overall health outcomes. Students are assigned to teams to work on a semester‐long group project, in collaboration with staff of a nearby Boston hospital. https://ocw.mit.edu/courses/engineering-systems-division/esd-69-seminar-on-health-care-systems-innovation-fall-2010 Fall 2010 Finkelstein MD, Stan Coughlin, Joseph Moses, Joel 2011-04-11T14:02:23+05:00 ESD.69 HST.926J en-US ESD.69 HST.926J HST.926 health systems quality improvement safety health care delivery payment by results health care and information technology process change uncertainty in clinical decision variation in clinical decision performance measures in health care MIT OpenCourseWare https://ocw.mit.edu 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 Systems Engineering is an interdisciplinary approach and means to enable the realization of successful systems. It focuses on defining customer needs and required functionality early in the development cycle, documenting requirements, then proceeding with design synthesis and system validation while considering the complete problem including operations, performance, test, manufacturing, cost, and schedule. This subject emphasizes the links of systems engineering to fundamentals of decision theory, statistics, and optimization. It also introduces the most current, commercially successful techniques for systems engineering. https://ocw.mit.edu/courses/engineering-systems-division/esd-33-systems-engineering-summer-2010 Summer 2010 Van Eikema Hommes, Qi Hale, Pat Erickson, David 2011-02-07T15:31:56+05:00 ESD.33 en-US systems engineering innovation critical parameter development robust design requirements engineering design structure matrix modeling and simulation quality function deployment MIT OpenCourseWare https://ocw.mit.edu 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 This course surveys operations research models and techniques developed for a variety of problems arising in logistical planning of multi-echelon systems. There is a focus on planning models for production/inventory/distribution strategies in general multi-echelon multi-item systems. Topics include vehicle routing problems, dynamic lot sizing inventory models, stochastic and deterministic multi-echelon inventory systems, the bullwhip effect, pricing models, and integration problems arising in supply chain management. Probability and linear programming experience required. https://ocw.mit.edu/courses/engineering-systems-division/esd-273j-logistics-and-supply-chain-management-fall-2009 Fall 2009 Simchi-Levi, David 2010-12-13T22:30:36+05:00 ESD.273J 1.270J en-US ESD.273 ESD.273J 1.270 1.270J vehicle routing problems dynamic lot sizing inventory models stochastic and deterministic multi-echelon inventory systems the bullwhip effect pricing models integration problems MIT OpenCourseWare https://ocw.mit.edu 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 In 2004, the Ansari X PRIZE for suborbital spaceflight captured the public's imagination and revolutionized an industry, leveraging a $10M prize purse into over $100M in innovation. Building from that success, the X PRIZE Foundation is now developing new prizes to focus innovation around "Grand Challenge" themes, including genomics, energy, healthcare, and education. This course will examine the intersection of incentives and innovation, drawing on economic models, historic examples, and recent experience of the X PRIZE Foundation to help develop a future prize in Energy Storage Technologies. https://ocw.mit.edu/courses/engineering-systems-division/esd-172j-x-prize-workshop-grand-challenges-in-energy-fall-2009 Fall 2009 Wagner, Erika 2010-06-10T19:28:56+05:00 ESD.172J EC.421J en-US ESD.172 ESD.172J EC.421 EC.421J energy competition innovation incentivize prizes resource allocation innovation incentives Ansari X PRIZE economic models of innovation energy storage grid-scale storage prize matrix genomics Archon X PRIZE Progressive Automotive X PRIZE grand challenges MIT OpenCourseWare https://ocw.mit.edu 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 This intensive micro-subject provides the necessary skills in Microsoft® Excel spreadsheet modeling for ESD.71 Engineering Systems Analysis for Design. Its purpose is to bring entering students up to speed on some of the advanced techniques that we routinely use in analysis. It is motivated by our experience that many students only have an introductory knowledge of Excel, and thus waste a lot of time thrashing about unproductively. Many people think they know Excel, but overlook many efficient tools, such as Data Table and Goal Seek. It is also useful for a variety of other subjects. https://ocw.mit.edu/courses/engineering-systems-division/esd-70j-engineering-economy-module-fall-2009 Fall 2009 Cardin, Michel-Alexandre de Neufville, Richard 2009-12-07T19:11:12+05:00 ESD.70J 1.145J en-US ESD.70 ESD.70J 1.145 1.145J excel spreadsheet modeling dynamic modeling analysis data table goal seek sensitivity analysis simulation random number generator counting modeling uncertainties random variables statistical package flexibility contingency rules excel solver solver MIT OpenCourseWare https://ocw.mit.edu 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 Engineering systems design must have the flexibility to take advantage of new opportunities while avoiding disasters. This subject develops "real options" analysis to create design flexibility and measure its value so that it can be incorporated into system optimization. It builds on essential concepts of system models, decision analysis, and financial concepts. Emphasis is placed on calculating value of real options with special attention given to efficient analysis and practical applications. The material is organized and presented to deal with the contextual reality of technological systems, that substantially distinguishes the analysis of real options in engineering systems from that of financial options. Note This MIT OpenCourseWare site is based on the materials from Professor de Neufville's ESD.71 Web site. Additional materials, updated as needed by Professor de Neufville, can be found there. https://ocw.mit.edu/courses/engineering-systems-division/esd-71-engineering-systems-analysis-for-design-fall-2008 Fall 2008 de Neufville, Richard 2008-12-23T08:41:44+05:00 ESD.71 1.146 3.56 16.861 en-US real options flexibility flexible design engineering systems complex projects evaluation over time risk uncertainty valuation timing uncertainty modeling flexibility valuation methods design analysis lattice analysis monte carlo simulation flexibility identification. MIT OpenCourseWare https://ocw.mit.edu 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 This course covers how to leverage major technology advances to significantly transform a business in the marketplace. There is a focus on major issues a business must deal with to transform its technical and market strategies successfully, including the organizational and cultural aspects that often cause such business transformations to fail. Class material draws from concrete experiences of IBM's major transformation in the late 1990s, when it aggressively embraced the Internet and came up with its e-business strategy. https://ocw.mit.edu/courses/engineering-systems-division/esd-57-technology-based-business-transformation-fall-2007 Fall 2007 Wladawsky-Berger, Irving 2008-08-07T05:15:49+05:00 ESD.57 en-US innovation technology strategy business strategy end-user market leadership organization disruptive technology e-business e-commerce IBM 1990s innovator's dilemna competitiveness outsourcing MIT OpenCourseWare https://ocw.mit.edu 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 This class provides an introduction to quantitative models and qualitative frameworks for studying complex engineering systems. Also taught is the art of abstracting a complex system into a model for purposes of analysis and design while dealing with complexity, emergent behavior, stochasticity, non-linearities and the requirements of many stakeholders with divergent objectives. The successful completion of the class requires a semester-long class project that deals with critical contemporary issues which require an integrative, interdisciplinary approach using the above models and frameworks. https://ocw.mit.edu/courses/engineering-systems-division/esd-04j-frameworks-and-models-in-engineering-systems-engineering-system-design-spring-2007 Spring 2007 Sussman, Joseph 2008-05-15T17:22:11+05:00 ESD.04J 1.041J ESD.01J en-US ESD.04J ESD.04 1.041J 1.041 ESD.01J ESD.01 frameworks and models in engineering systems quantitative models qualitative frameworks complex engineering systems analysis and design emergent behavior stochasticity non-linearities architectural system configuration MIT OpenCourseWare https://ocw.mit.edu 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 This course covers principles and methods for technical System Architecture. It presents a synthetic view including: the resolution of ambiguity to identify system goals and boundaries; the creative process of mapping form to function; and the analysis of complexity and methods of decomposition and re-integration. Industrial speakers and faculty present examples from various industries. Heuristic and formal methods are presented. Restricted to SDM (System Design and Management) students. https://ocw.mit.edu/courses/engineering-systems-division/esd-34-system-architecture-january-iap-2007 January IAP 2007 Crawley, Edward 2007-10-31T04:46:26+05:00 ESD.34 en-US systems Product Development Process (PDP) architect tradeoff function use case scenario creativity complexity interface form feature requirements design optimization risk MIT OpenCourseWare https://ocw.mit.edu 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 ERBA (ESD.72) emphasizes three methodologies - reliability and probabilistic risk assessment (RPRA), decision analysis (DA), and cost-benefit analysis (CBA). In this class, the issues of interest are: the risks associated with large engineering projects such as nuclear power reactors, the International Space Station, and critical infrastructures; the development of new products; the design of processes and operations with environmental externalities; and infrastructure renewal projects. https://ocw.mit.edu/courses/engineering-systems-division/esd-72-engineering-risk-benefit-analysis-spring-2007 Spring 2007 Apostolakis, George 2007-10-26T04:47:48+05:00 ESD.72 1.155 2.963 3.577 6.938 10.816 16.862 22.82 en-US risk analysis decision analysis uncertainty cost-benefit analysis remedial action alternative probability utility functions environmental remediation risk aversion multistage decision models axioms of rational behavior design decisions fault-tolerant design risk management MIT OpenCourseWare https://ocw.mit.edu 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 In this class, students use data and systems knowledge to build models of complex socio-technical systems for improved system design and decision-making. Students will enhance their model-building skills, through review and extension of functions of random variables, Poisson processes, and Markov processes; move from applied probability to statistics via Chi-squared t and f tests, derived as functions of random variables; and review classical statistics, hypothesis tests, regression, correlation and causation, simple data mining techniques, and Bayesian vs. classical statistics. A class project is required. https://ocw.mit.edu/courses/engineering-systems-division/esd-86-models-data-and-inference-for-socio-technical-systems-spring-2007 Spring 2007 Frey, Daniel Larson, Richard C. 2007-10-05T06:18:31+05:00 ESD.86 en-US statistics statistical model modelling probability probabilistic model risk assessment system analysis system design systems engineering distributions poisson markov queuing theory congestion traffic regression hypothesis testing inference operations research Weibull analysis MIT OpenCourseWare https://ocw.mit.edu 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 This course examines quantitative techniques for life cycle analysis of the impacts of materials extraction, processing use, and recycling; and economic analysis of materials processing, products, and markets. Student teams undertake a major case study using the latest methods of analysis and computer-based models of materials process. https://ocw.mit.edu/courses/engineering-systems-division/esd-123j-systems-perspectives-on-industrial-ecology-spring-2006 Spring 2006 Field, Frank Gregory, Jeremy Kirchain, Randolph 2007-09-28T04:08:02+05:00 ESD.123J 1.814J 3.560J en-US ESD.123 ESD.123J 1.814 1.814J 3.560 3.560J Sustainability environment manufacturing life-cycle analysis life-cycle assessment LCA system design materials selection waste recycling environmentalism environmental policy industrial policy MIT OpenCourseWare https://ocw.mit.edu 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 This subject is a survey of the fundamental analytic tools, approaches, and techniques which are useful in the design and operation of logistics systems and integrated supply chains. The material is taught from a managerial perspective, with an emphasis on where and how specific tools can be used to improve the overall performance and reduce the total cost of a supply chain. We place a strong emphasis on the development and use of fundamental models to illustrate the underlying concepts involved in both intra and inter-company logistics operations. While our main objective is to develop and use models to help us analyze these situations, we will make heavy use of examples from industry to provide illustrations of the concepts in practice. This is neither a purely theoretical nor a case study course, but rather an analytical course that addresses real problems found in practice. https://ocw.mit.edu/courses/engineering-systems-division/esd-260j-logistics-systems-fall-2006 Fall 2006 Caplice, Chris Sheffi, Yossi 2007-09-28T04:06:31+05:00 ESD.260J 1.260J 15.770J en-US ESD.260 ESD.260J 1.260 1.260J 15.770 15.770J logistics systems supply chain management demand planning procurement inventory transportation planning reverse logistics flexible contracting postponement portfolio management dual sourcing MIT OpenCourseWare https://ocw.mit.edu 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 This course explores perspectives in the policy process - agenda setting, problem definition, framing the terms of debate, formulation and analysis of options, implementation and evaluation of policy outcomes using frameworks including economics and markets, law, and business and management. Methods include cost/benefit analysis, probabilistic risk assessment, and system dynamics. Exercises include developing skills to work on the interface between technology and societal issues; simulation exercises; case studies; and group projects that illustrate issues involving multiple stakeholders with different value structures, high levels of uncertainty, multiple levels of complexity; and value trade-offs that are characteristic of engineering systems. Emphasis on negotiation, team building and group dynamics, and management of multiple actors and leadership. https://ocw.mit.edu/courses/engineering-systems-division/esd-10-introduction-to-technology-and-policy-fall-2006 Fall 2006 Ross, Dan Weigel, Annalisa 2007-05-03T05:13:57+05:00 ESD.10 en-US Politics decision making negotiation planning wedge game climate change global warming NRC nuclear power nuclear energy nuclear proliferation government public policy globalization science EPA NSF transportation urban planning standards risk risk assessment engineering energy internet network neutrality regulation security 9/11 September 11 terrorism defense tradeoff MIT OpenCourseWare https://ocw.mit.edu 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