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PRODUCTION         ENGINEERING
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                                             A earned a wow
                                 FUNKY
PRODUCTION            ENGINEERING
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                                             B earned a thank you
      OUT                 SYS
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                                                Design
                                                Activity
  Product
Requirements                                     Design
                                                 Team
                                                             Product
                                                           Specifications
                                  Process
                              Instrumentation Human
                                              Variables

                                  Product
                              Instrumentation                Technical
                                                             Variables
triple-loop-learning in complex teams
    FORMAL                                                  INFORMAL
    knowledge                                               knowledge
                                                  Learning Loop 2
                                                     facts, syntax
      Curriculum                                     what? how?
       faculty


                                                         Learning Loop         3
                                                    concepts, semantics, architecture
                                                              when? why?
        Course
       instructor
                                                                      Team           Product
                                                       Coach
                                                      learning by    learning by    Knowledge
                                                       mediating        doing

                                                                              Learning Loop 1
                                                                                   reflective action

                                                                                    does it work?

[Ozgur Eris, Larry Leifer, Ade Mabogunje, 2003]
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Requirements
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    Grosskopf, Weske, Edelman, Leifer 2010
       Hasso Plattner Institute, Potsdam
         Stanford University, California)
Universitätsklinikum Jena
with scenario consultant
Dr. Markus Güntert
storming the clincial scenario




                                 ]T)
extending the storm using tangible
      plastic process blocks


                                     ]])
a physician joins and the model,
grows beyond the space available
paper representations are added
                                   ]D)
day 1 – outcome
a prototype process model
in paper and block media




                            D=)
day 2 – re-boot
with IT modeling tool
introduction




                        D:)
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UNDERSTANDING INNOVATION




                                                                                       Plattner · Meinel · Leifer (Eds.)
                                                                                                                                                    UNDERSTANDING INNOVATION
H. Plattner
C. Meinel
L. Leifer (Eds.)
Design inking




“Everybody loves an innovation, an idea that sells.” But how do we arrive at such
ideas that sell? And is it possible to learn how to become an innovator? Over
                                                                                                                                 Hasso Plattner
the years Design inking – a program originally developed in the engineering                                                    Christoph Meinel
department of Stanford University and o ered by the two D-schools at the Hasso
                                                                                                                                     Larry Leifer
Plattner Institutes in Stanford and in Potsdam – has proved to be really successful
in educating innovators. It blends an end-user focus with multidisciplinary
collaboration and iterative improvement to produce innovative products, systems,
                                                                                       1                                                  Editors
and services. Design inking creates a vibrant interactive environment that pro-
motes learning through rapid conceptual prototyping. In 2008, the HPI-Stanford




                                                                                      Design Thinking
Design inking Research Program was initiated, a venture that encourages



                                                                                                                           Design Thinking
multidisciplinary teams to investigate various phenomena of innovation in its
technical, business, and human aspects. e researchers are guided by two general
questions:
• What are people really thinking and doing when they are engaged in creative
  design innovation? How can new frameworks, tools, systems, and methods aug-
  ment, capture, and reuse successful practices?
• What is the impact on technology, business, and human performance when
  design thinking is practiced? How do the tools, systems, and methods really
                                                                                                                           Understand – Improve – Apply
  work to get the innovation you want when you want it? How do they fail?
In this book, the researchers take a system’s view that begins with a demand
for deep, evidence-based understanding of design thinking phenomena. ey
continue with an exploration of tools which can help improve the adaptive
expertise needed for design thinking. e nal part of the book concerns design
thinking in information technology and its relevance for business process
modeling and agile so ware development, i.e. real world creation and deployment
of products, services, and enterprise systems.



 ISBN 978-3-642-13756-3



 9 783642 137563
                                                                                                                                                               123
›   springer.com

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Leifer strelka moscow sides 11jul2011

  • 1. !"#$%#&'(%)*'"+,%&-%).' !"#$#$%!&'()$*+),-$-"+) .+/&(')$*&'0&'()&')123#')' ' '') /"00.'/1%210'' 2+'$+"),#").+/&(')"+/+1"2*)4)/$1',#".)-'&5+"/&$%) /$"+6017)8#/2#93'::);-6%)<=::)
  • 2. /1)' 4"#5!%6$%4/%#"0.'!16%&#')1"+6'' ,1'$01"781' /1)'' $*"#&1'*"441#)
  • 5. $#.1%)9+)(#)*-#7#&),#")$*+)'+?$ ) ),%&'%!1" ' ) 1'.)$*+)"#1.)81! ) 6##0/)6&0+)$*&/)
  • 6.
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  • 15. 6*9-/!'%',1' "#'' :=<'' 6*"41!' 90' :;<'' 6*"41!' 41069#' )9!".'
  • 16. 6*"41!' :=<' In-depth knowledge
  • 17. Design Thinking Behavior In-depth knowledge :;<'' 6*"41!'
  • 18. (*.'%6'%)'69'*"0!' ' Design Thinking Behavior In-depth knowledge ' ' ' ' ' ' )9',1'"&%/1'"!"4781':;<'41069#6''''
  • 19. FORESIGHT DESIGN thinking & doing thinking & doing people have different ways of thinking, working, doing, and learning (Lande 2009) PRODUCTION ENGINEERING thinking & doing thinking & doing
  • 20. BRIEF BENCH RESET NEED IDEATE FORESIGHT DESIGN EXPERI way points PROTO along the TEST passage from a concept to the functional CFP proof-of-concept FUNKY prototype PRODUCTION ENGINEERING SYS SEND FUNCT OUT SYS PRE- PROD
  • 21. BRIEF BENCH NEED IDEATE FUTURE DESIGN CNCPT PROTO team-B’s EXPERI PROTO EXPERI PROTO 9 month passage through the thinking and doing space FUNKY PRODUCTION ENGINEERING SYS FUNCT SYS
  • 22. BRIEF BENCH RESET NEED team-A’s IDEATE FUTURE DESIGN 9 month EXPERI PROTO passage through the thinking and TEST doing space CFP A earned a wow FUNKY PRODUCTION ENGINEERING SYS SEND FUNCT B earned a thank you OUT SYS PRE- PROD <<)
  • 24. &/9,"/'&0"!-")1'!16%&#'%##98"79#')1"+6' Munich Stanford Team Team
  • 25. &/9,"/'+%D1!5!%6$%4/%#1')1"$*%#&')1"+6' Munich Stanford Team Team Teaching Team Teaching Team
  • 26. &/9,"/'4092166%9#"/'!16%&#')1"+'$9"$*16' Project Coach Project Coach Munich Stanford Team Team Teaching Team Teaching Team
  • 27. %#)10#"79#"/'$-/)-01'$9"$*16' Project Coach Project Coach Munich Stanford Culture Coach Team Team Culture Coach Teaching Team Teaching Team
  • 28. 01"/' $90490")1'409F1$)6' Project Coach Project Coach Munich Stanford Team Team Class Coach Class Coach Corporate Partner Teaching Team Teaching Team
  • 29. Some of Our ! Neighbors!
  • 30. GHI'@AB56)"#290!'4"0)#106*%46'JBAB5JBAA' GJBI')9)"/'@AB5&/9,"/')1"+6'#1)(90E'(%!1' IJB!7)RL)UV6+1) @$1',#".FG+6/&'0&)C<)#,)HE) IJB!7)QRG)@$#20*#68) @$1',#".FI1"&/)C:)#,)WE) @$1',#".FGIJ)C<)#,)KE) LMNA+?&2#FA-'&2*)C<E) @$1',#".F@$>S166+')C:)#,)TE) @$1',#".)AB)CDE) @$1',#".FP16&)C<)#,)KE) @$1',#".FLMNA+?&2#)C:OKE)
  • 31. John Gedge Michael Amine Sushi Keven Bellakrid Karsch Richly Suzuki Tomoya Yamamoto Amina Alaoui Marcelo Lopez Sarah Philipp Chakib Matthias Fathallah Dobrigkeit Thomas EL Haouzia Vesa U acker Kowark Alexander Lindroos Zeier Véronique Alejandro Ole Hillen Ramirez Rienow Florencia Fernando Julien Denti Gonzalez Mauroy Tuukka Kingelin Roukaya El Houda Olmo Villegas Arturo Christoph Treviño Francisco Thiele Acosta Tobias Rawald Stefan Paul Hampel Mauduit Shogo Suzuki Anthony Falk Khaled Zhu Benke Sellami Susanna Raphael Didier Ollila Mathieu Mikelis Jenn Marwan Chabasse Kenji Khiat Studers Claudio Peterson Nishito Hansberg Ryan Keijiroh Brooks Aurélien Nagano Matt Sibiril Kandler Youssef Joules Shashank Sharma Ahizoune Gould Quin Lai Isaac Panu Castaneda Min Ming Josh Keski-Pukkila Lo Ga ord Jessica Ji Guillaume Svante Thrierr Suominen Rafael Mayani Jack Esa Antti Ng Nummijoki Sonninen Miguel Ángel Katie Aaswath Velázquez Planey Pauliina Raman Sara Travis Tenho Delgado Bow Xiao Tuukka Heikki Andrea Trevor Yukino Säteri Ge Laurila Delgado Clark Jodai Marco Antonio Kelly Cruz Carolina Johnson Gomez Maria Kulse April Rafat Tiia Alexander Adrit Je Mehdi Suomalainen Manian Lath Mark Juan Cutkosky Harri Ruiz Toivonen Santhi Elayaperumal Abhishek Andrés Hector Henrik Stephany Shiwalkar Tuuli Cuellar Cuellar Amberla Heikki Fernández Julia Utriainen Soininen Andrés Pettersson Hakava Torres Larry Leifer Peter George Tuomas Toye Kardassakis Sahramaa Daniel Lassi Jaramillo Mark Laitinen Schar Manny Alice Hundal Brooks Lauri Tom Repokari Zhuang Alex Granieri Alejandro Lopez Kat Nguyen Shantanu Garg Daniel Andres Mamiko García Mercado Nagao Yair Laura Vikas Timosaari Agrawal Kollmann Ryan Anderson Sakari Haruna Castren Kawashima Dominic Carlos Schlegel Serrano Jaime Mayoral Maria Camacho Deborah Schaub Caroline Petra Tiziana Dohle Monn Mauchle Rico Matthias Manuel Rinderknecht Huebner Schoeni Marc Schlegel Patrick Keil Christian Jaime Haueter Aguilar Stephanie Petersen Tiziana Aiol Andreas Stockburger Amanda Friederike Fabian Bachmann Falk Ho mann Bischof Uebernickel Marco Brunori Philipp 2010 - 2011 Skribanowitz Pascal Dominic Kappeler Widmer Pasqual Christophe Vossberg Vetterli
  • 33. 941#'K1D%,/1'64"$1'' JLDM'"$$166'
  • 39. )*1.'"01'29//9(%#&')*1'' O;PQRSTUV=U?S'' !16%&#'(".'
  • 40. @$1',#".FJZB) ))))6&0+)!16%&#'409$166' C"+EZ+X'+)$*+) I"#[6+8) !16%&#'#1810'1#!6' M++.X'.&'()1'.) R+/$) Y+'2*81"0&'() X?PTQ' -#!106)"#!')*1'-610W63'' 409,/1+'N'!16%&#'64"$1' I"#$#$%!+) Y#.%/$#"8&'() +"E1'%)')"#&%,/1' %!1")13'/1"0#'
  • 41. O)"#290!5=U?S' ''''/%E1'!16%&#'409$166'['%#'01"/%).' C"+EZ+X'+)$*+) I"#[6+8) U16%&#'#1810'1#!6' M++.X'.&'()1'.) R+/$) Y+'2*81"0&'() X1"0#' Z#!106)"#!')*1'-61063'!16%&#'64"$1' I"#$#$%!+) Y#.%/$#"8&'() Y-%/!' =!1")1'
  • 42. 015%#81#7#&' ' 409!-$)6' 6108%$16' ,-6%#16616' V' V' V' "#!')*1' *-+"#'1D410%1#$1'
  • 43. 1D"+4/1' ' +1@AB'1D410%+1#)'' #11!5#!3'$9#$1%813',-%/!5)16)' '"+F&'5+'$)$*+)2#'5+"3[6+)) Y>]'JBB^ '
  • 45. $0%7$"/'2-#$79#' 409)9).41'
  • 56. &1_#&'01"/'9#')*1'941#'09"!' from concept to reality'
  • 57. K-%!'!.#"+%$6'0158%6%)1!' base case OpenRoad re-circulation "+F2&"2-613'()[1.F1&")) creates bad-air &/)+6&8&'1$+.)[%)$*+) in the cabin (##.F1&");+$)/$"+18)
  • 58. 8"/%!"7#&'"%06411!'+1"6-01+1#)' ,-)'(")$*'*10'*"%0' base case airspeed OpenRoad airspeed 7 m/s 2.3 m/s 6.3 m/s 1.6 m/s 1.9 m/s 1.4 m/s Bad Wind Good Wind Bad Wind Good Wind
  • 59. `9#$/-6%9#' a better convertible, problem eliminated
  • 60. 1D"+4/1' ' +1@AB'1D410%+1#)'' #11!5#!3'$9#$1%813',-%/!5)16)' 015%#81#)')*1'!0%810'81*%$/1'%#)102"$1'' ' 290')*1'P-!%'92'JBAH' C.#'+)&')<==DE
  • 62. 1D"+4/1' ' +1@AB'1D410%+1#)'' #11!5#!3'$9#$1%813',-%/!5)16)' $9#6-+10'1/1$)09#%$6'%#)102"$1'' ' 290')*1'a"#"69#%$'' C.#'+)&')<==]E
  • 63.
  • 64. 1D"+4/1' ' +1@AB'1D410%+1#)'' #11!5#!3'$9#$1%813',-%/!5)16)' +"E1')*1'*9+1';b'1D410%1#$1'%#)10"$781' ' 290'O(%66$9+'(%)*'Z#%VOc' C.#'+)&')<=:=E
  • 66. 015!16%&#%#&'' !16%&#')*%#E%#&'%#'"$79#' ' '$*&'(/)9+)*15+)6+1"'+.),"#8) &'/$"-8+'3'().+/&(')&''#513#')&')#-")) ^K%&*)'6%+-/")90_'
  • 67. )*1'49(10'92'9,6108"79#' R1'(7)I*Z`]D)
  • 68. !16%&#')*%#E%#&' 0161"0$*'%#'$9#)1D)' CU+&,+"`=WE) Design Activity Product Requirements Design Team Product Specifications Process Instrumentation Human Variables Product Instrumentation Technical Variables
  • 69. triple-loop-learning in complex teams FORMAL INFORMAL knowledge knowledge Learning Loop 2 facts, syntax Curriculum what? how? faculty Learning Loop 3 concepts, semantics, architecture when? why? Course instructor Team Product Coach learning by learning by Knowledge mediating doing Learning Loop 1 reflective action does it work? [Ozgur Eris, Larry Leifer, Ade Mabogunje, 2003]
  • 70. 1800! $01"781'/"#&-"&1'+"d106 ) '#-'F!*"1/+/)&'),#"816).#2-8+'$/) 1600! !"+.&2$)191"./)&')!++"F"+5&+9+.) .+/&(')2#8!+33#'/) Best 'A1[#(-';+7)I*Z`Da) 9#9) Silve Meri Number of Distinct Noun Phrases! 1400! A! #1200! of A! A! A Meri unique noun 1000! A! A! Meri phrases A! 800! Bronz Bronz 600! A minus! B A minus! B! 400! B! 200! 0! December fall! March ! win! June! spr! Report Report Academic Quarter! Report
  • 71. 9-0'"d1#79#'7+1'$9#6)"#)'' CY1%1`DTE) S1 15 S2 S3 S4 S5 S6 10 M)/+2#'./) Mode = most frequent deltat = 5.4 seconds ) .+/&(')&',#"813#'),"1(8+'$).-"13#')) 12"#//)/&?)1235&$%)21$+(#"&+/) C<)+12*)b)"+2+!35+7)+?!"+//&5+7)/+1"2*E) 5 0 0 10 20 30 Duration of Information Fragment (deltat seconds)
  • 72. e-1679#6'!0%81'410290+"#$1' CB"&/`=<E' [+g+") LB)) e-1679#6'f'*9-0') ) 1[/$"12$)O)2#'2"+$+)CY"+"+$#'`D<E) "+1/#'&'()O)2#'2+&5&'()CB"&/h=<E) .+/&(')) $+18)) ) !+",#"81'2+)) ) /2#"+) ) 2#8[&'+.)"1$+)#,)ZcdeSZd)Cf-+/3#'/O*#-"E) )Zcd)b).++!)"+1/#'&'()f-+/3#') ) )SZd)b)(+'+"135+).+/&(')f-+/3#') )
  • 73. !16%&#')*%#E%#&'%6' )*1'20"$)"/'%)10"79#'92')*%6',"6%$'$.$/1' ' C1 ' ' C2 Requirements Divergent ' C3 Convergent Decisions Thinking Thinking ' C4 ' ' C5 ' Design Concepts C1, C2, C3, C4, C5… '
  • 75. J')1"+6'92'g'6)-!1#)6'1"$*' 166)#,)$*+)/18+)!"#[6+8)/#65&'()!"+,+"+'2+) ^P#'5+"(+"_) ^Z&5+"(+"_) R+18) R+18) GYZJFN) GYZJFZ) QNJFN) QNJFJ)
  • 76. +"E%#&'!16%&#'!1$%6%9#6')9&1)*10' %#')*1'!16%&#'9,6108")90.'
  • 77. KINETIC Concept Views Shoe Design! Task! MERRELL Designs
  • 78. Shoe Design! Task! :U%810&106<'
  • 79. Shoe Design! Task! :`9#810&106<'
  • 80. “Shoe Design”! Task! O-,F1$)'c09-4' U%810&106' `9#810&106' :U%810&106<' =#290+"79#' =)1+6'U%6$-661!h' R"$)6' DO:<)CTHiE) DO:<)CTHiE) i-1679#6' TO:<)CH]iE) <O:<)C:TiE) ;9)"/' AgfJL'GgMjI' AAfJL'GLgjI' =#290+"79#'' =)1+'T"7#&' R"$)6' K>W<) K><a) :`9#810&106<' i-1679#6' K>K<) <>Da) U%k101#$1' e>:=) e>K:) ^G#9)&8!#"$1'$)91/)$*+)&',#"813#'j)) )CH)k)J8!#"$1'$7):FM#$)J8!#"$1'$E)
  • 81. Q?Z;TSc?QP)@$%6&'()B//+'2+) Product Selection! Task! N) Y) P) R#"#'$#)) R"+[[&')) R&1';&'))
  • 82. “Product :U%810&106<' Selection”! Task! =)) <=)) 8&'-$+/)
  • 83. Product Selection! :`9#810&106<' Task! =)) <=)) 8&'-$+/)
  • 84. Product Selection! Task! N) Y) P) :U%810&106<' O-,F1$)'c09-4' U%810&106' `9#810&106' =)1+6'U%6$-661!h' `9++9#' aOa)C:==iE) HOa)C]KiE) Z#%e-1' HOa)C]KiE) HOa)C]KiE) ;9)"/' AAfAJ'GHJjI' ABfAJ'Gl@jI' U1$%6%9#'>"E%#&h' :`9#810&106<' B61!/+.) Agh^B' alHK) T18%1('$*+') T")1'' I"#2+//) U1$%!1' $*+')T18%1('
  • 85. 2#661[#"13#')"+/+1"2*)'' ,-6%#166'409$166'+9!1/%#&'-6%#&'' )"#&%,/1'+1!%"' ) Grosskopf, Weske, Edelman, Leifer 2010 Hasso Plattner Institute, Potsdam Stanford University, California)
  • 86. Universitätsklinikum Jena with scenario consultant Dr. Markus Güntert
  • 87. storming the clincial scenario ]T)
  • 88. extending the storm using tangible plastic process blocks ]])
  • 89. a physician joins and the model, grows beyond the space available paper representations are added ]D)
  • 90. day 1 – outcome a prototype process model in paper and block media D=)
  • 91. day 2 – re-boot with IT modeling tool introduction D:)
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  • 110. UNDERSTANDING INNOVATION Plattner · Meinel · Leifer (Eds.) UNDERSTANDING INNOVATION H. Plattner C. Meinel L. Leifer (Eds.) Design inking “Everybody loves an innovation, an idea that sells.” But how do we arrive at such ideas that sell? And is it possible to learn how to become an innovator? Over Hasso Plattner the years Design inking – a program originally developed in the engineering Christoph Meinel department of Stanford University and o ered by the two D-schools at the Hasso Larry Leifer Plattner Institutes in Stanford and in Potsdam – has proved to be really successful in educating innovators. It blends an end-user focus with multidisciplinary collaboration and iterative improvement to produce innovative products, systems, 1 Editors and services. Design inking creates a vibrant interactive environment that pro- motes learning through rapid conceptual prototyping. In 2008, the HPI-Stanford Design Thinking Design inking Research Program was initiated, a venture that encourages Design Thinking multidisciplinary teams to investigate various phenomena of innovation in its technical, business, and human aspects. e researchers are guided by two general questions: • What are people really thinking and doing when they are engaged in creative design innovation? How can new frameworks, tools, systems, and methods aug- ment, capture, and reuse successful practices? • What is the impact on technology, business, and human performance when design thinking is practiced? How do the tools, systems, and methods really Understand – Improve – Apply work to get the innovation you want when you want it? How do they fail? In this book, the researchers take a system’s view that begins with a demand for deep, evidence-based understanding of design thinking phenomena. ey continue with an exploration of tools which can help improve the adaptive expertise needed for design thinking. e nal part of the book concerns design thinking in information technology and its relevance for business process modeling and agile so ware development, i.e. real world creation and deployment of products, services, and enterprise systems. ISBN 978-3-642-13756-3 9 783642 137563 123 › springer.com