15.763 focuses on decision making for system design, as it arises in manufacturing systems and supply chains. Students are exposed to frameworks and models for structuring the key issues and trade-offs. The class presents and discusses new opportunities, issues and concepts introduced by the internet and e-commerce. It also introduces various models, methods and software tools for logistics network design, capacity planning and flexibility, make-buy, and integration with product development. Industry applications and cases illustrate concepts and challenges. Recommended for operations management concentrators. Second half-term subject.

Multi-scale systems differ from traditional macro-scale systems in that the multi-scale systems use components from two or more scales (i.e. nano, micro, meso, and macro-scales). Subject provides the skills required to design and manufacture multi-scale systems. Emphasis is placed on understanding the fundamental differences between traditional macro-scale system design and the design of multi-scale systems. Topics include design methodologies, modeling approaches, analytic tools, and manufacturing processes. Examples drawn from a diverse range of applications, including automobiles, fiber optic equipment, electronic test equipment, and micro/meso-scale machinery. Students master the materials through problem sets and a substantial term project.

Our objective in this course is to introduce you to concepts and techniques related to the design, planning, control, and improvement of manufacturing and service operations. The course begins with a holistic view of operations, where we stress the coordination of product development, process management, and supply chain management. As the course progresses, we will investigate various aspects of each of these three tiers of operations in detail. We will cover topics in the areas of process analysis, materials management, production scheduling, quality improvement, and product design. To pursue the course objective most effectively, you will have to: 1. Study the assigned reading materials. 2. Prepare and discuss cases, readings, and exercises in class. 3. Prepare written analyses of cases.

Operations Strategy provides a unifying framework for analyzing strategic issues in manufacturing and service operations. Students analyze the relationships between manufacturing and service companies and their suppliers, customers, and competitors. The course covers strategic decisions in technology, facilities, vertical integration, human resources, and other areas, and also explores means of competition such as cost, quality, and innovativeness.

Introduces students to the theory, algorithms, and applications of optimization. The optimization methodologies include linear programming, network optimization, dynamic programming, integer programming, non-linear programming, and heuristics. Applications to logistics, manufacturing, transportation, E-commerce, project management, and finance.

Covers modern tools and methods for product design and development. The cornerstone is a project in which teams of management, engineering, and industrial design students conceive, design, and prototype a physical product. Class sessions employ cases and hands-on exercises to reinforce the key ideas. Topics include: product planning, identifying customer needs, concept generation, product architecture, industrial design, concept design, and design-for-manufacturing.

For students and teams who have started a sustainable-development project in D-Lab (SP.721, SP.722), the IDEAS Competition, Design for Demining (SP.786), Product Engineering Processes (2.009), or elsewhere, this class provides a setting to continue developing projects for field implementation. Topics covered include prototyping techniques, materials selection, design-for-manufacturing, field-testing, and project management. All classwork will directly relate to the students' projects, and the instructor will consult on the projects during weekly lab time. There are no exams. Teams are encouraged to enroll together.

In the past building prototypes of electronic components for new projects/products was limited to using protoboards and wirewrap. Manufacturing a printed-circuit-board was limited to final production, where mistakes in the implementation meant physically cutting traces on the board and adding wire jumpers - the final products would have these fixes on them! Today that is no longer the case, while you will still cut traces and use jumpers when debugging a board, manufacturing a new final version without the errors is a simple and relatively inexpensive task. For that matter, manufacturing a prototype printed circuit board which you know is likely to have errors but which will get the design substantially closer to the final product than a protoboard setup is not only possible, but desirable. In this class, you'll learn to design, build, and debug printed-circuit-boards.

This class deals with the modeling and analysis of queueing systems, with applications in communications, manufacturing, computers, call centers, service industries and transportation. Topics include birth-death processes and simple Markovian queues, networks of queues and product form networks, single and multi-server queues, multi-class queueing networks, fluid models, adversarial queueing networks, heavy-traffic theory and diffusion approximations. The course will cover state of the art results which lead to research opportunities.

Principles of thermal radiation and their application to engineering heat and photon transfer problems. Quantum and classical models of radiative properties of materials, electromagnetic wave theory for thermal radiation, radiative transfer in absorbing, emitting, and scattering media, and coherent laser radiation. Applications cover laser-material interactions, imaging, infrared instrumentation, global warming, semiconductor manufacturing, combustion, furnaces, and high temperature processing.

How can we translate real-world challenges into future business opportunities? How can individuals, organizations, and society learn and undergo change at the pace needed to stave off worsening problems? Today, organizations of all kinds--traditional manufacturing firms, those that extract resources, a huge variety of new start-ups, services, non-profits, and governmental organizations of all types, among many others--are tackling these very questions. For some, the massive challenges of moving towards sustainability offer real opportunities for new products and services, for reinventing old ones, or for solving problems in new ways. The course aims to provide participants with access and in-depth exposure to firms that are actively grappling with the sustainability-related issues through cases, readings and guest speakers.

Topics vary from year to year. Typical examples from past years: manufacturing strategy, technology supply chains. This seminar will explore the purposes and development of Technology Roadmaps for systematically mapping out possible development paths for various technological domains and the industries that build on them. Data of importance for such roadmaps include rates of innovation, key bottlenecks, physical limitations, improvement trendlines, corporate intent, and value chain and industry evolutionary paths. The course will build on ongoing work on the MIT Communications Technology Roadmap project, but will explore other domains selected from Nanotechnology, Bio-informatics, Geno/Proteino/Celleomics, Neurotechnology, Imaging and Diagnostics, etc. Thesis and Special Project opportunities will be offered.

D-Lab World Prosthetics is a collaboration between the Massachusetts Institute of Technology and the Jaipur Foot Organization to improve the design, manufacture, and distribution of rehabilitation devices in the developing world. The course welcomes individuals interested in physical rehabilitation to work on multidisciplinary teams of students with bioengineering, mechanical engineering, material science, and medical or pre-medical backgrounds. Students will learn about the basics of human walking, different types of gait disabilities, as well as the technologies that seek to address those disabilities. Patient perspectives and current research areas are presented. Lecture topics focus on lower-limb disabilities, including polio and above-knee and below-knee amputation, and will cover both developed and developing world techniques for overcoming these disabilities. Students form teams to design and prototype low-cost orthotic and prosthetic devices, and present their work at the end of the course.

This course examines the issues, principles, and challenges toward building machines that cooperate with humans and with other machines. Philosophical, scientific, and theoretical insights into this subject will be covered, as well as how these ideas are manifest in both natural and artificial systems (e.g. software agents and robots).

Introduction to axiomatic design. Theoretical basis for rational design. One-FR Design. Multi-FR design. System design. Software design. Product design. Materials and materials process design. Manufacturing system design. Complexities in design: time-independent real complexity, time-independent imaginary complexity, time-dependent combinatorial complexity, and time-dependent periodic complexity. Industrial case studies. 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 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.

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.

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 of automobile manufacturing using the latest methods of analysis and computer-based models of materials process.

Our linked subjects are (1) the historical process by which the meaning of technology has been constructed, and (2) the concurrent transformation of the environment. To explain the emergence of technology as a pivotal word (and concept) in contemporary public discourse, we will examine responses--chiefly political and literary--to the development of the mechanic arts, and to the linked social, cultural, and ecological transformation of 19th- and 20th-century American society, culture, and landscape.

Focus on theoretical work for studying operations planning and control problems. Topics vary from year to year, and include inventory theory, sequencing theory, aggregate production planning, production scheduling, multistage production/distribution systems, performance evaluation, and flexible manufacturing systems.