Design Decisions Laboratory

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# '''Design for Market Systems:''' Measure and model consumer choice in the marketplace to optimize engineering systems for profitability; and
# '''Design for Market Systems:''' Measure and model consumer choice in the marketplace to optimize engineering systems for profitability; and
# '''Green Design & Environmental Policy:''' Study the effects of economics, competition and public policy on design decisions and the resulting environmental impact of those decisions.
# '''Green Design & Environmental Policy:''' Study the effects of economics, competition and public policy on design decisions and the resulting environmental impact of those decisions.
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=Research=
 
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==Green Design and Environmental Policy==
 
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Environmental regulations attempt to correct for market failures by altering incentive structures or restricting the space of options available to designers. Such regulations have direct impact on the decisions made by designers, and the success of any such policy depends upon the product designs that result under regulated market conditions. DDL builds models to understand and predict the effects of policy on the incentives that drive design decisions and the resulting impact on producers, users, society and the environment.
 
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'''Sample Publications:'''
 
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*Shiau, C.-S. and J.J. Michalek (2007) "A game-theoretic approach to finding market equilibria for automotive design under environmental regulation," Proceedings of the ASME International Design Engineering Technical Conferences, Sep. 4-7, Las Vegas, Nevada, USA.
 
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*Michalek, J.J., P.Y. Papalambros, and S.J. Skerlos (2004) "A study of fuel efficiency and emission policy impact on optimal vehicle design decisions," ASME Journal of Mechanical Design, v126 p1062-1070.
 
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*Skerlos, S.J., W.R. Morrow and J.J. Michalek (2006) "Sustainable design engineering and science: selected challenges and case studies," Chapter 3.10 in Sustainability Science and Engineering, Volume 1: Defining Principles, edited by M. Abraham, Elsevier Science.
 
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==Design for Market Systems==
 
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Whether interested in profit or in social welfare, designers are concerned with the preferences people have and the choices they make. Design decisions are driven by the preferences of various stakeholders, and the decisions made by designers have impact on these stakeholders, including those who produce, use, sell, distribute, maintain, invest in, supply for, and dispose of the product as well as socioeconomic, cultural and environmental effects on society as a whole. DDL develops quantitative tools to model preferences of stakeholders and coordinate them with decisions about the design of products.
 
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'''Sample Publications:'''
 
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*Michalek, J.J., F.M. Feinberg and P.Y. Papalambros (2005) "Linking marketing and engineering product design decisions via analytical target cascading," Journal of Product Innovation Management, v22 p42-62.
 
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*Michalek, J.J., O. Ceryan, P.Y. Papalambros, and Y. Koren (2006) "Balancing marketing and manufacturing objectives in product line design" ASME Journal of Mechanical Design, v128 n6 p1196-1204.
 
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*Michalek, J.J. (2005) Preference Coordination in Engineering Design Decision-Making, Ph.D. Dissertation, Department of Mechanical Engineering, University of Michigan.
 
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==Systems Optimization==
 
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The design and optimization of complex systems pose unique challenges: Subsystems and components must be designed such that they are compatible and consistent with one another while delivering properties that, in combination, achieve targets for the overall system. DDL develops mathematical tools for decomposing complex design tasks into smaller subsystem design tasks and coordinating design of these subsystems to achieve optimal system solutions.
 
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'''Sample Publications:'''
 
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*Michalek, J.J. and P.Y. Papalambros (2006) "BB-ATC: analytical target cascading using branch and bound for mixed integer nonlinear programming," Proceedings of the ASME Design Engineering Technical Conferences, DETC2006/DAC-99040, Sept. 10-13, Philadelphia, PA, USA.
 
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*Michalek, J.J. and P.Y. Papalambros (2005) "An efficient weighting update method to achieve acceptable consistency deviation in analytical target cascading," ASME Journal of Mechanical Design, v127 p206-214.
 
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*Michalek, J.J. and P.Y. Papalambros (2005) "Weighs, norms, and notation in analytical target cascading," ASME Journal of Mechanical Design, v127 p499-501.
 
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=Lab Business=
 
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==Winter 2008 Presentation Schedule==
 
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During the winter 2008 semester, weekly lab seminar meetings will be held on Fridays at 2:30pm in Scaife Hall 206. Visitors are welcome to attend.
 
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{| class="wikitable" border="1"
 
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! Date !! Presenter !! Topic
 
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| Feb 1 || Sarat || Measuring uncertainty in discrete choice models
 
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| Feb 8 || Canceled || No meeting
 
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| Feb 15 || Rich || Effects of battery weight on PHEV performance 
 
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| Feb 22 || Norman ||  Optimal product design under price competition strategies
 
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| Feb 29 || Drew  || Endogeneity in choice model estimation 
 
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| Mar 7 || Aida  || Global Optimization 
 
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| Mar 14 || Spring break  || 
 
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| Mar 21 ||  || 
 
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| Mar 28 ||  || 
 
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| Apr 4 ||  ||
 
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| Apr 11 || No meeting ||
 
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| Apr 18 ||  ||
 
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| Apr 25 ||  || 
 
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==Winter 2008 Individual Meetings==
 
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Individual meetings will be held on Thursdays in Scaife Hall 323.
 
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{| class="wikitable" border="1"
 
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! Time !! Student
 
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| 9:30 || 
 
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| 10:00 ||
 
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| 10:30 ||
 
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| 11:00 || Aida
 
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| 11:30 || Aida
 
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| 1:00 || Norman Shiau
 
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| 1:30 || Norman Shiau
 
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| 2:00 || Sarat Mikkilineni
 
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| 2:30 || Andrew Hamilton
 
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| 3:00 || Nikhil Kaushal
 
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| 3:30 || Varun Krishnakumar
 
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| 4:00 || Richard Hauffe
 
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| 4:30 || Anne Marie Lewis
 
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|}
 
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==Borrowed Item Checkout List==
 
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{| class="wikitable" border="1"
 
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! Item !! Borrower !! Date Borrowed !! Date Returned
 
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| Bertsekas - Nonlinear Programming || Aida || 24 Jan 2008 ||
 
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| Nowak - Relaxation and Decomposition Methods for MINLP|| Aida || 24 Jan 2008 ||
 
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| Sahinidis - Covexification and global optmization in MINlP|| Aida || 24 Jan 2008 ||
 
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| Wolsey - Integer and combinatorial optimization|| Varun || 24 Jan 2008 ||
 
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| Floudas - Nonlinear and mixed integer optmization || Aida || 24 Jan 2008 ||
 
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| Gujarati - Basic Econometrics || Drew || Dec 2007 ||
 
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| Hendrickson, Lave, Matthews - EIOLCA || Nikhil || Jan 2007 ||
 
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==Publication Planning==
 
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{| class="wikitable" border="1" cellpadding="1"
 
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! Authors !! Title !! Target !! Status
 
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| Khajavirad, Michalek || Decomposed GA product families || SMO || In review
 
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| Khajavirad, Michalek || ATC product family opt || JMD || Waiting for proof
 
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| Khajavirad, Michalek, Simpson || Balancing commonality and differentiation || JMD || Working paper
 
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| Khajavirad, Michalek || Lagrangian decomposition global optimization NLP || IDETC-DAC ||
 
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| Khajavirad, Michalek, Sahinidis? || Lagrangian decomposition global optimization NLP || JMD/SMO? || Working paperIn review
 
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| Khajavirad, Michalek, Sahinidis? || Global optimization product family || JMD/SMO? || Working paper
 
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| Shiau, Michalek || Market structure || JMD || In review
 
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| Shiau, Michalek || Market structure || IDETC-DAC || In review
 
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| Shiau, Michalek || Price equilibrium || IDETC-DAC || In review
 
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| Shiau, Michalek || Price equilibrium || JMD/RED? || Working paper
 
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| Shiau, Michalek || Structural analysis CAFE || ? || Working paper
 
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| Shiau, Michalek || Lagrangian FOC vs. fixed point || JMD tech brief? || Working paper
 
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| Li, Lu, Michalek || DQA for ATC || JMD || Proof in review
 
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| Kaushal, Michalek || LCA Optimization || ? || Working paper
 
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| Hauffe, Samaras, Michalek || Battery weight PHEVs || IDETC-DAC || In review
 
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| Hauffe, Samaras, Michalek || Battery weight PHEVs (w li-ion) || Energy Policy? || Working paper
 
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| McGaughey, Michalek || Wiki-based learning || ASEE || Revision in process
 
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| Krishnakumar || BB-ATC || ?? || Working paper
 
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| Lewis, Khajavirad, Michalek || Ethanol infrastructure optimization || ? || Working paper
 
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|}
 
=Links=
=Links=

Current revision

Image:DDL-white.jpg

The Design Decisions Laboratory was established at Carnegie Mellon University by Professor Jeremy J. Michalek in 2005. The lab develops theories and tools to understand and assist decision-making in design and product development. The group is interested in the preferences and economics that drive design tradeoff decisions as well as the impact of those decisions on public and private stakeholders. Drawing upon research in economics, econometrics, marketing and public policy as well as engineering and design optimization, the lab pursues three primary thrust areas:

  1. Systems Optimization: Develop fundamental knowledge and new methods for multidisciplinary design and complex systems optimization;
  2. Design for Market Systems: Measure and model consumer choice in the marketplace to optimize engineering systems for profitability; and
  3. Green Design & Environmental Policy: Study the effects of economics, competition and public policy on design decisions and the resulting environmental impact of those decisions.

Links

Retrieved from "https://wiki.ece.cmu.edu/ddl/index.php/Design_Decisions_Laboratory"
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