Decision Tools for Engineering Design and Entrepreneurship Course

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'''Office Hours:'''
'''Office Hours:'''
* TBA
* TBA
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=Resources=
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* [[DTEDE Project Guidelines]]
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=Winter 2008 Schedule=
=Winter 2008 Schedule=
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All presentations may be combined into one, 3-hour class.  Presentations and/or report deadline may be moved to finals week to allow students more time.
All presentations may be combined into one, 3-hour class.  Presentations and/or report deadline may be moved to finals week to allow students more time.
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=Winter 2008 Project Guidelines=
 
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This course provides engineering students with a tool-set to asses and communicate the economic competitiveness of a new product design or innovative technology. The course is framed around one, team-based semester-long project. Teams will be expected to apply topics covered in class, as well as general engineering knowledge, to develop quantitative models of design, production and projected market response to the product. By nature, each team will have somewhat different tasks and areas of emphasis, depending on the product selected; however, all projects will be expected to demonstrate mastery of the topics covered in class and to address the criteria and guidelines required for project deliverables.
 
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Students will form teams of three people and select projects during the first week of class. Students have the option to:
 
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# Select a new technology with market potential that has not yet been introduced into high-volume manufacturing, such as a new invention from a research laboratory at Carnegie Mellon or a new product concept developed by one of the team members; or
 
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# Select an existing product to model parametrically in order to optimize its design for profitability.
 
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The following guidelines should be used in selecting a product or technology. All products must be improved by the instructors:
 
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* '''Well-Defined Product''': This course focuses on mathematical modeling to support decision-making. There is not sufficient time in the course for conceptual design of a new product. The project should involve an existing product or a new design that has already been well-defined at the conceptual level.
 
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* '''Moderate Scope and Complexity''': The product or technology should involve moderate complexity. For example, a non-differentiated commodity, such as sugar, would be too simple a product unless new competitive manufacturing processes are being explored. On the other hand, a complex product involving many components and manufacturing operations, such as a vehicle, would require a plan for scoping the problem such that only specific manufacturing processes and product attributes are examined in the model with all others fixed.
 
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* '''Expertise''': If the product involves a new technology that requires specialized knowledge of high-tech materials, design, or manufacturing processes, the team should have reliable access to experts who can supply the requisite knowledge.
 
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* '''Product Attributes''': The product or technology should be differentiated in the market: It should compete with existing alternatives along several quantifiable attributes (such as price, efficiency, size, weight, performance, etc.).
 
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* '''Decision Variables''': Design and planning for the product should involve several decisions in design and production that are non-trivial; for example, using a new material, setting dimensions of a component, selecting among a set of alternative component configurations, or choosing the extent of end-product reliability. The models developed in the project will be used to support decision-making along such dimensions.
 
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'''Examples''':
 
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{| class="wikitable" border="1"
 
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|-
 
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! New product or technology !! Existing product
 
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|-
 
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|
 
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*polymer spinal implant
 
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*ceramic coating for Ti hip implant
 
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*extruded super-conducting wire
 
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*injection molded hockey sticks
 
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*anti-fog goggle lens
 
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*carbon nanotube wall-hanging tape
 
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||
 
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*electric screwdriver
 
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*microphone stand
 
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*laptop
 
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*drill
 
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*tripod
 
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*scale
 
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|}
 
[[category:courses]]
[[category:courses]]

Revision as of 18:43, 17 December 2007

Carnegie Mellon University course number 19-484, 19-784, 24-484, 24-784

This course provides engineers with a multidisciplinary mathematical foundation for integrated modeling of engineering design and enterprise planning decisions in an uncertain, competitive market. Topics include economics in product design, manufacturing and operations modeling and accounting, consumer choice modeling, survey design, conjoint analysis, decision tree analysis, optimization, game theory, model integration, and professional communication skills. Students will apply theory and methods to a team project for a new product or emerging technology of their choice, developing a business plan to defend technical and economic competitiveness. Students may choose to select emerging technologies from research at Carnegie Mellon for study in the course, and in some years venture capitalists and other industry leaders will take part in critiquing student projects. This course assumes fluency with calculus and some prior programming experience. Graduate students will conduct an additional independent research project.

Winter 2008 Course Information

Instructors:

Administrative Assistant:

  • Nancy Beatty, SH-316, 8-2908
  • Susan Stringfellow, 8-6115

Lecture:

  • BH-A53
  • MW 12:30-2:20

Office Hours:

  • TBA

Resources


Winter 2008 Schedule

Date Topic Reading Due Homework Due
Jan 14 Course introduction, Projects: task, selection, and scope
Jan 16 Engineering economics: Profit, Time-value of money (NPV, Discount rate) Ch 11, 12, 13 ESA
Jan 21 Production functions Ch 2 ESA Team Selection
Jan 23 Cost functions, Constrained optimization Ch 3 ESA PS1
Jan 28 Marginal analysis, Constrained optimization Ch4 ESA Project Proposal
Jan 30 Design optimization, mathematical basics, univariate and multivariate unconstrained formulations PS2
Feb 4 Multivariate unconstrained formulations
Feb 6 Microeconomics in product design: supply and demand PS3
Feb 11 Mini project presentations: Project selection and scope
Feb 13 Basic operations management Factory Physics, Ch 1
Feb 18 Technical cost modeling I Articles: Technical Cost Modeling, Process-Based Cost Modeling
Feb 20 Technical cost modeling II
Feb 25 Modeling demand for attributes, random utility models
Feb 27 Random utility models
Mar 3 Random utility models
Mar 5 Mini project presentations: modeling production Production Analysis
Mar 10 Spring break - no class
Mar 12 Spring break - no class
Mar 17 Heterogeneity
Mar 19 Heterogeneity
Mar 24 Decision analysis Ch16 ESA
Mar 26 Value of information CH17 ESA
Mar 31 Mini project presentations: modeling demand Demand Analysis
Apr 2 Competition, game theory
Apr 7 Competition, game theory PS on Decision trees, Value of information
Apr 9 Business plan creation, model integration PS on Competition, Game Theory
Apr 14 Business plan creation, model integration
Apr 16 Business plan creation, model integration
Apr 21 Design for location? Policy implications?
Apr 23 Design for location? Policy implications?
Apr 28 Final presentations
Apr 30 Final presentations Project report

All presentations may be combined into one, 3-hour class. Presentations and/or report deadline may be moved to finals week to allow students more time.

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