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Design is How We Change The World
8th International Workshop on Business Process Design
Michael zur Muehlen, Ph.D.
Stevens Institute of Technology
Howe School of Technology Management
Center for Business Process Innovation
Hoboken, New Jersey
Michael.zurMuehlen@stevens.edu

                                                        1
Marco Polo describes a bridge,
  stone by stone.
  “But which is the stone that supports the
  bridge?” Kublai Khan asks.
  “The bridge is not supported by one stone
  or another,” Marco answers, “but by
  the line of the arch that they form.”
  Kublai Khan adds
  “Why do you speak to me of the stones?
  It is only the arch that matters to me.”
  Polo answers:
  “Without stones there is no arch.”

Italo Calvino: Invisible Cities, 1972         2
BPD 2011 Recap
 Design is important: Design is how we change the world
 Validation is important: How do we tell good design from bad?
 Trial & Error: Where are the experiments?




                                                                 3
4
design |dəˈzīn|

purpose, planning, or intention that
exists or is thought to exist behind an action, fact, or
material object.




                                                           5
“Most businesses have just
         3 core processes:
1. selling stuff
2. delivering stuff, and
3. making sure you have stuff to sell and deliver”
                                       Geary Rummler

                                                       5


5
Fortune 500 Business 1962
 Defined capabilities
 Defined services
 Defined processes
 Defined endpoints
 Defined integration mechanisms




                                  7
Fortune 500 business 2012
 Evolving capabilities
 Continual new service development
 What process?
 Device evolution drives endpoints
 Integration across platforms, parties




                                         8
Process Design
Tesco, South Korea
Process Design vs. Process Engineering


Few engineers and composers [...] can carry on a
mutually rewarding conversation about the content of
each other’s professional work.
         Herbert Simon, The Sciences of the Artificial (1996), p. 137.




                                                                        10
Political Ecology
 Problems are existing solutions someone has issues with                                                 Requi
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                                                                                                            02 S                      7:
                                                                                                                  pringe Copyright 152–17



 Solutions lead to Problems lead to Solutions
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                    Bergman, King, Lyytinen (2002)

                                                                                                                                                                                                                                                                    11
Functional Ecology




                     Bergman et al (2002), p. 158.



                                                 12
Clear Requirements, Clear Goals?
 “Two key assumptions frame traditional [Requirements
 Engineering].
       One is that requirements exist ‘out there’ in the minds of stakeholders
       (users, customers, clients), and they can be elicited through various
       mechanisms and refined into complete and consistent specifications.
       The second is that the key stakeholders operate in a state of goal
       congruence, in which there is widespread and coherent agreement on
       the goals of the organisation.”
                                                 Bergman et al. (2002), p. 154


 Neither of these assumptions is necessarily true.


                                                                                 13
Understanding the Problem Space
 Describing a problem in general terms is hard
 So: We often use examples
 Most examples tend to prescribe solution fragments
 Problem: Solution fragments constrain the design space
 Good designers elicit the essence of the problem


 Keep asking:
    What is the underlying problem?
    Why is it a problem?


                                                          14
Process Design
Driven by an Opportunity
16
Example: Military Recruiting




                               17
19
20
Process Design
 You are in charge for the
 process
 “Visiting tourists at the
 Empire State Building”


 What is your objective?


 What possible process
 designs can you come
 up with?
Fruit
Circle   Sport
         Oval




Fruit
Oval     Sport
         Circle




                  22
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                                                                                                                                                                                   23
What just happened?
           1,2,3,4,5
                                             1,2,3,4,5

                       3,4,5                           3,4,5

 1,2         3,4                   1,2         3,4
                                   1               4      5
                                         2     3
 1     2    3   4              5



                                                               24
What just happened?
           1,2,3,4,5
                                             1,2,3,4,5

                     2,3,4,5                           2,3,4,5

 1,2         2,3,4                 1,2          2,3,4

                                                   4       5
                                   1
                                         2     3
 1     2    3   4              5



                                                                 25
Shape


Sporting Good        Oval     Circle    Fruit



 Football       Soccer Ball   Melon    Orange




                                                26
Design and Categorization
 We tend to break content into non-overlapping boxes
 Reality consists of many overlapping parts
 Traditional requirements analysis techniques are top-down
 Mining reality might help, but yields complexity




                                                             27
Design as a Search Process
 The are a large (virtually infinite) number of possible designs
 for a given problem scenario.
 A designer fleshes out design ideas from this design space.
 The design ideas can be evaluated using criteria that a given
 design has to satisfy.
 Design is seen as a formal, structured process.




                                                                   28
Types of Solutions
 Local solution space – all solutions that can be reached from
 the current solution with available skills and resources
 Global solution space – all possible solutions, for which
 resource might need to be mobilized.
 Problems are used to mobilize resources




                                                                 29
Question
 What is the next conceivable design
 that we have not thought of yet?




                                       30
Process Execution Space




                          31
Design Space and Evaluation Space




           Design   Evaluation




                                 Jeff Nickerson (2012)


                                                         32
Design Space: Example
                     # of steps
                  in the process

                              A
                                   B


                                       C
                                             # of human
                                              operators
                                           involved in the
 Cf. Jeff Nickerson (2012)
                                               process
                                                             33
Evaluation Space: Example
                    $ execution
                       cost

                             C


                                  B

                                      A
                                          $ implementation
                                                cost
 Cf. Jeff Nickerson (2012)


                                                             34
Design Dimensions for Processes
 Structural Complexity
       Activity Design
 Behavioral Complexity
       Discrete Paths
       Decisions
 Data Integration
       Inputs
       Outputs
 Resource Integration
 ...

                                  35
Evaluation Dimensions for Processes
 Simplicity
 Adaptability
 Usability
 Modularity
 Security
 Maintainability
 ...




                                      36
Imitate, Adapt, or Innovate?
 Given a particular business problem, a designer’s choices are
    Imitate: To imitate existing designs, possibly by transferring
    them from other domains or implementation platforms.
    Adapt: To provide detail for a high-level design sketch that is
    deemed applicable to more than one problem scenario (i.e.
    reference models).
    Innovate: To develop an entirely new design




                                                                      37
38
16
39
17
40
18
Process Design
Driven by a Constraint
Systematic Doubt (Horst Rittel)
 Describe a situation and frame a problem
 Then negate each statement - one at a time - to generate a
 solution.
 Make the last statement “Problem:”




                                                              42
Systematic Doubt (cont’d)
“The principle of systematic doubt relies on a simple principle of logic -
if statements in a set make the set true, then the negation of
any one of the statements makes the set false. So if a certain
number of conditions contribute to the problem, the negation of any
one of them negates the whole problem. First, we express the problem in
a story form as a number of statements.”
                                              Horst Rittel, class notes 1978




                                                                               43
Systematic Doubt - Example
A1  At the Stadium in Southern Oakland
A2  Sporting and concert events are held.
A3  After an event everyone leaves
A4  For many, Bart is the only means of transportation
A5  Access to Bart exists solely by pedestrian bridge
A6  The bridge is narrow
A7  People are funneled in from two sides
A8  They walk slowly because of the density of people
A9  People don't like being in a herd for half an hour
A10 Problem - Reduce the time spent getting from the stadium to Bart.




                                                                        44
Negating the Issues
N1  Not at the stadium in Southern Oakland - Move the stadium
  to a different location




                                                                45
Negating the Issues
N1     Not at the stadium in Southern Oakland - Move the stadium to a different
       location
N2     Sporting and concert events are not held - With no events, there would be
       no crowds
N3     After an event everyone doesn't leave - Stagger the exiting
N4     For many Bart is not the only means of transportation - Provide other means
N5     Access to Bart doesn't exist solely by a pedestrian bridge - Build a tunnel
N6     The bridge isn't narrow - Widen the bridge
N7     People aren't funneled in from two sides - Allow approach from only one
       side
N8     They don't walk slowly - Teach people how to move more quickly in a crowd
N 9   People like being in a herd for half an hour - Play music, provide
      entertainment
N 10  No problem - Let them wait on the bridge; consider the wait as part of the
      event.
                                                                                     46
Teaching Design - Learning Goals
 Each student can develop an integrated IT architecture that
 satisfies technical and organizational constraints


    Students develop viable designs
    Starting from a broad problem, students develop a specific
    problem scenario




                                                                 47
Evaluation: Starting from a broad
problem, students develop a specific
problem scenario
                                   Poor             Acceptable                 Good

     The scenario is
consistent with the broad         No link           Apparent link            Strong link
   problem definition

The scenario is specific,
detailing actors, systems,   Restatement of the
                                                  Additional Detail    Strong, specific example
   and the messages               problem
      between them

The scenario represents
                                                                       Gets to the heart of the
the core of the broadly            Trivial        Worthy of solution
                                                                                matter
   defined problem


                                                                                                  48
Evaluation: Students develop a viable
design       Poor    Acceptable Good
    The design is         Diagram conventions           The idea can be
                                                                               The idea is very clear
  communicated well           are ignored                 understood

The design fulfills the    The constraints are       The design is arguably    The design is clearly
 problem constraints            ignored              within the constraints    within the constraints

Alternative designs are
     generated, and                                     Several similar       Several quite different
                             No alternatives
compared against each                                    alternatives              alternatives
          other
       The design
demonstrates a holistic
    grasp of both the     People or technology                                  Their interaction is
                                                      Both are considered
  technical and social        are ignored                                              clear
aspects of the proposed
         system

                          The design is trivial or                            The design is innovative
 The design is strong                                 The design is solid
                                confused                                       or thought-provoking


                                                                                                         49
Students develop viable designs
                                 Problem Definition                                                    Distributed Node Topology
                   Redesign stock exchanges and the they
                                                                                                    Chicago node                                     London node
                   interconnect and work together, taking trading,                                msft.stock.nasdaq                                   t.stock.nyse
                                                                                                  gold.commodity.tse                                yen.currency.ftse
                   settling, and resiliency into                                                   yen.currency.ftse                               vbinx.fund.nasdaq
                   account.Distributed Node TopologyThe core
                   backbone for trading will consist of an Internet-style network
                   of distributed nodes. Each stock/bond/security will have                     San Francisco node
                                                                                                                                                    New York node
                   between 3 and 16 trading nodes depending upon transaction                                                                       msft.stock.nasdaq
                                                                                                 msft.stock.nasdaq
                                                                                                                                                       t.stock.nyse
                   volume demands for the stock. Stock transaction details are                   gold.commodity.tse
                                                                                                                                                   gold.commodity.tse
                                                                                                 vbinx.fund.nasdaq
                   synchronized in real-time amongst the nodes which are                                                                            yen.currency.ftse
                   established for each stock. The trading nodes are distributed
                   geographically throughout the world and are connected via a
                   secure high-speed fully distributed backbone with multiple                        Tokyo node                                      Houston node
                   connectivity paths between nodes.                                                  t.stock.nyse                                    t.stock.nyse
                                                                                                   yen.currency.ftse                                yen.currency.ftse
                                                                                                  gold.commodity.tse                               vbinx.fund.nasdaq
                    Trading Transaction ProtocolBuyers and sellers
                    connect to the trading network through a market maker. The
                    market maker is authorized to connect to the network nodes
                                                                                                         Market                  Seller                  Market
                      to conduct transactions. When a trade is requested, the
                                                                                                         Maker                                            Maker
                   market maker uses the TNNS to locate and connect to a node                            (Seller)                                        (Buyer)
                                                                                                                                 Buyer
                      which is responsible for coordinating trading of the stock.
                   Public Key transactions will be done first if the market maker
                   and the node are not aware of each other's public keys. Once                       Trading Transaction Protocol
                                                                                      sell (Price, Quantity, Spread, Time Limit, MM (Seller) ID)
                     this is done, any number of trades can be executed, each         Returns Ask_ID if successful placing the ask
                                                                                      Returns failure if ask unsuccessful
                     transaction packet will be encrypted using the exchanged
                                             public keys.                             buy (Price, Quantity, Spread, Time Limit, MM (Buyer) ID)
                                                                                      Returns Bid_ID if successful placing the bid
                                                                                      Returns failure if bid unsuccessful
                   Trading Node Naming System (TNNS)                                  revoke (Ask_ID/Bid_ID, MM (Buyer) ID)
                   Nodes are located using a DNS-style naming network called          Returns success if stock has not yet been traded
                                                                                      Returns alreadytraded if it has been traded and cannot be revoked
                   Trading Node Naming System (TNNS). This system will                Returns cancelled if subdomain controller cancelled transaction
                   incorporate caching and redundancy just like DNS does.             status (Ask/Bid ID, MM (Buyer/Seller) ID)
                   Unlike DNS, each name will contain a complete list of              Returns pending if not already traded
                                                                                      Returns sale details if traded (trade time, price, quantity)
                   redundant trading nodes for the particular stock rather than       Returns cancelled if subdomain controller cancelled transaction
                   one individual server location. Each subdomain controller has
                                                                                      open_trading (Subdomain Controller ID, Authorization Codes)
                   control over the addition of new names and the nodes that the      halt_trading (Subdomain Controller ID, Authorization Codes)
                   names are used on. In addition, the subdomain controller can
                                                                                      Examples of Transaction Requests:
                   halt trading and open trading on a particular stock by issuing a   ttp://t.stock.nyse/sell (Body of request contains encrypted structure containing variables price,
                                                                                      quantity, spread, time limit, MM ID)
                   command to the nodes. If a stock is halted, they have the          ttp://t.stock.nyse/buy (Body similar to sell)
                   option of canceling active buyer and seller requests.              ttp://t.stock.nyse/status
                                           Stock Name Examples
                   msft.stock.nasdaq
                                  Microsoft on the NASDAQ Exch.                              Trading Node Naming System (TNNS)
                             t.stock.nyse
                                  AT&T / New York Stock Exch.
                                                                                                                                       Root                          Chris Boraski
                             vbinx.fund.nasdaq                                                                                         Node                          MGT 784ST
                                                                                                                                                                     Assignment 5
                                  Vanguard Index Fund / Nasdaq                                                                                                        2/14/2004
                             gold.commodity.tse
                                                                                       nyse subdomain
                                  Value of Gold Ounce / Tokyo
                             yen.currency.ftse
                                  Value of Yen / London Exchange
                                                                                                       nyse                     nasdaq                     tse                 ftse




                                                                                      bond            stock             stock             fund         commodity            currency




                                                                                       nyc               t               msft           vbinx              gold                yen




                                                                                                                                                                                          50
The Bottom Line
 Design requires consideration of two distinct spaces: design
 space and evaluation space
 Our cognitive facilities are limited when dealing with multi-
 dimensional problems
 Process engineers should learn design thinking, and process
 designers need to appreciate an engineer’s viewpoint
 We can teach this




                                                                 51
Recommended
Reading
 Frederick P. Brooks:
 The Design of Design
 Addison Wesley, 2010.




 Herbert Simon:
 The Sciences of the Artificial.
 MIT Press, 1996.

                                   52
In every age someone, looking
  at Fedora as it was, imagined a
  way of making it the ideal city,
  but while he constructed his
  miniature model, Fedora was
  already no longer the same as
  before, and what had been
  until yesterday a possible future
  became only a toy in a glass
  globe.



Italo Calvino: Invisible Cities, 1972   53
Thank You - Questions?

                                    Ph.D.        ion
                         Mu ehlen, ess Innovat
                   zur              oc            ment
         M ichael Business Pr gy Manage
                  for              nolo
         Center hool of Tech hnology
                 Sc                 ec
          Howe Institute of T dson
                   s                 u
          Steven int on the H
                    Po
            Castle , NJ 07030                3
                       n               6-829
            H oboke +1 (201) 21 5385
             Phone
                     :               216-       ns.edu
                          +1 (201)        @steve /bpm
             Fax:                 uehlen        du
                       :  mzurm w.stevens.e urmuehlen
              E-mail              ww
                           http:// eshare.net/
                                                mz
               Web:        www.s
                                   lid
               slide  s:




                                                         54

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Design is How We Change The World

  • 1. Design is How We Change The World 8th International Workshop on Business Process Design Michael zur Muehlen, Ph.D. Stevens Institute of Technology Howe School of Technology Management Center for Business Process Innovation Hoboken, New Jersey Michael.zurMuehlen@stevens.edu 1
  • 2. Marco Polo describes a bridge, stone by stone. “But which is the stone that supports the bridge?” Kublai Khan asks. “The bridge is not supported by one stone or another,” Marco answers, “but by the line of the arch that they form.” Kublai Khan adds “Why do you speak to me of the stones? It is only the arch that matters to me.” Polo answers: “Without stones there is no arch.” Italo Calvino: Invisible Cities, 1972 2
  • 3. BPD 2011 Recap Design is important: Design is how we change the world Validation is important: How do we tell good design from bad? Trial & Error: Where are the experiments? 3
  • 4. 4
  • 5. design |dəˈzīn| purpose, planning, or intention that exists or is thought to exist behind an action, fact, or material object. 5
  • 6. “Most businesses have just 3 core processes: 1. selling stuff 2. delivering stuff, and 3. making sure you have stuff to sell and deliver” Geary Rummler 5 5
  • 7. Fortune 500 Business 1962 Defined capabilities Defined services Defined processes Defined endpoints Defined integration mechanisms 7
  • 8. Fortune 500 business 2012 Evolving capabilities Continual new service development What process? Device evolution drives endpoints Integration across platforms, parties 8
  • 10. Process Design vs. Process Engineering Few engineers and composers [...] can carry on a mutually rewarding conversation about the content of each other’s professional work. Herbert Simon, The Sciences of the Artificial (1996), p. 137. 10
  • 11. Political Ecology Problems are existing solutions someone has issues with Requi re Owne ments E rs ng (2 ß 20 hip and 002) 02 S 7: pringe Copyright 152–17 Solutions lead to Problems lead to Solutions r-Ver 1 lag Lo ndon Limite d Large Unde -Scale Re Requ Repeat ir rstan Enginements ding quirement eerin g Mark the P s Ana olitic Depar Bergm al Ec lysis Rev a Arbor tment of an a, , Mic J higan, formation ohn L In ology isit USA; anc es Depar d Compute lie Kin b of Re ed: The g an quire n ment eed for tment r of Info Science, U d Ka rmatio nivers lle L n Sys ity This tems, of Californ Case ia yytin c en s Eng for pape r add Weste , Irvine, C rn Res aliforn ineer la re engin rge syst sses the eeri poli erve ia Unive , USA; S rsity, chool b ing ng th em s, a ti C of levela enga g e nd a cal nature nd, O Informatio syste ed with ory and rgues of req hio, U SA n, Uni versity m th decis require ese issu practice that re uirements of Mic higan, ion p ments es. It must quire Ann of m rocess is co argu beco ments partic u justifi appings , whereb nstructed es that la me more 6]. W lar conti e y req n princ d by a between uirem through rge-scale many hile som ue to fail ipals prob conse ents a po proje e tro at an techn . The le e litica Impro ubled ic se so m space cutive so merge as l cts se una beha al ense v lution of c lutio a set techn ved softw em to b projects cceptable m politi iour in e bles th spaces oncern to n spaces o a e (RE) logies fo re tools, m successfu re turned rate [1– a c x a agree al ambig pansion d t often are comp a set o h r failure ave yet to perform odelling m l only at around, lex so f exerc d-on spe uity. Sta ue to dom exhibit cio- in mode s in such provide g requir ethods an random. is c n engin e of orga ifications bilisation ain comp on-linear ll in su and c ing techn itiatives. fficient p ments en process e d e le form ering in nisationa occurs of solu xity and o iq A wide mplex p ues alon dvances gress in ineering ro g su l ti socia of hetero ch case power. E only thro ons into r ro techn set of jects. W are inad e in tec a hnolo voiding l, gene s is m ffecti togeth econom ous e ost e ve re ugh the o e are in logical, issues a must turn quate to sa gies and e ic n q baseli er in a c and in gineering ffectively uirements h o n can w erently in rganisatio d try to our atten ve large st space ne for c urrent so itutional in which seen as a n syste e expect terwoven al and in understa on to a ti s. onstru lution facto techn m de to m in su stituti nd h ction sp rs ica ve ak Keyw of p ace that are broug l, requir c emen lopers m e progress h initiativ nal chan w o o ords: ropo provid ht The ts for ight in u es. O ges engin sed es th su e Fu Syste ering; P nctional new soluti e helpfu followin such syst ccessfull nderstand nly then o on l start g exa ems. y sta ing h m re te an quire litical re requireme world ing mple b d ma ow ments quire n ments ts; Hete Lond was sho point. On y Drumm nage o ck ; Sy ro stem geneous been n Stock ed by th 11March ond [7] p unde Exch e sud 1993 rovid follo e failure s; wing r develo ange Tau den canc , the fina s a 1. Intr restru over pmen ru e nc c 2 t for s projec llation of ial oduc ments ture and 0 years more t. Ta the tion o restru . Taurus organise f delibera than si rus had u Larg c ti x ye risk p e-sca le back turing o was ex the excha ons abou ars, roposi software proce bone syste f the pecte d nge’s t how telec omm tion desp developm ss m fo securitie to enab trade se to unica By th involvin s tra le a ttle- tions ite huge a ent has re e g r a d Corre techn dv m while n the pro digitalisa fully au e by fo radical Informspondenc e and ologie ances in c ained a h je $600 securities ct had co tion of bo mated se ing a to rm ation s. L ompu ig ting a h- CA 92 st the nds a 697-46and Comoffprint re arge exch milli on [2 comp anies nd ce ttlem ent 50, U puter qu proje nd an exch rt SA. E Scien ests to: M cts prom ge, whic ]. The ex had inve ange $13 ificates. mail: ce, Uni . Bergm in o h wa p st 0m mberg ve an man@rsity of C , Depar was tional lite s he ected tran ed and a illion, ca ra ra d when ncelled b ture, we lded as sformatio ditional ics.uc al tmen i.edu ifornia, Ir t of e n n of perfo managem fore a sin t out with the Big vine, rm e the g B deliv ance re nt discov le modu a whimpe ang in ered e le in an quired of red that th was imp r. Taurus accep th e le table e system function mented time ali fram could n ty and e. ever be Bergman, King, Lyytinen (2002) 11
  • 12. Functional Ecology Bergman et al (2002), p. 158. 12
  • 13. Clear Requirements, Clear Goals? “Two key assumptions frame traditional [Requirements Engineering]. One is that requirements exist ‘out there’ in the minds of stakeholders (users, customers, clients), and they can be elicited through various mechanisms and refined into complete and consistent specifications. The second is that the key stakeholders operate in a state of goal congruence, in which there is widespread and coherent agreement on the goals of the organisation.” Bergman et al. (2002), p. 154 Neither of these assumptions is necessarily true. 13
  • 14. Understanding the Problem Space Describing a problem in general terms is hard So: We often use examples Most examples tend to prescribe solution fragments Problem: Solution fragments constrain the design space Good designers elicit the essence of the problem Keep asking: What is the underlying problem? Why is it a problem? 14
  • 15. Process Design Driven by an Opportunity
  • 16. 16
  • 18.
  • 19. 19
  • 20. 20
  • 21. Process Design You are in charge for the process “Visiting tourists at the Empire State Building” What is your objective? What possible process designs can you come up with?
  • 22. Fruit Circle Sport Oval Fruit Oval Sport Circle 22
  • 23. Reprin t A city from the maga is not zin By Ch a tree e Design, Lond risto pher A on: C ouncil T lexand of Ind mathe he article er ustria m th l Desi the pa atician - a at follow gn, N° st few specia s has 206, 1 b y L ew years. l disti won 966] is Mu T n fo mford ogether w ction amon r itself, T , it wa ith a se g all th and it Found he 1965 aw s selec ted as ries of at has s auth occasi ation and rds follow a one of articles by A been writt or - an arc the 19 d e o a Corpo ns they ha dministere series start a 65 Kau a Louise H n about de hitect and fmann u si The la ration v , and e gone to d by the In ed in 1960, Intern xtable and gn during ationa su design test awards bsequentl Charles an itute of In onsored b st sp l Desig two essays y d n Awa the firs, published were given have prov Ray Eam ternational y the Edgar rds. id e been o t occasion in periodica for "the m ed a serie s, Walter Education. J. Kaufma vertly on wh l or oc ost eff s of re Gropiu On p nn ackno ic c e se s, reviou T wledg h the contr asional formctive statem arch grants and the s Mulle he internati ed. ibutio n of c within the ents dealin totalling $ livetti O r- chairm Munk and onal jury riticism pa g w to the st five years ith the field 00. 61,5 an, fr David which develo ", them om Bri b Strou selecte pmen and represe of stated y consulta tain) studie t from the d the 196 t of d esign nt , n U of equ "Essentiall ts in seven d some 20 SA, Finn Ju 5 awards has a y 0 the fie l importan , three aspe countries. articles an hl from De (Richard L ld of d ce c C d nm a new th esign.. . The first ints of the pro ommenting essays tha ark, and Jo tham, Pete concern ought, co .. The seco volved tho blem emerg on the se t had been hn E. Blak r n n le clarity ed the qu tribute to d involved se statemen ed, all of w ction, the submitted e, a st ts whic judge to maste of express lity of wri a wider u atements hich w s' ry of w ion, o ting, nders which h contribu e considere report third w n the fo ta , te e consi ords... .T logica r the effec nding of though pos to new thin d to be dered he first an l and eco tivene ss know n p sibly n ot king in to be e d T expresshe brief to ssenti second asp nomical pre of any state roblems.... containing the ju al to a ects oft sentati ment The th definit ive, practic ry ha ny sta temen en overlap on of an will depen ird a selecti ion created l implemen d defined t whic p a h was ed in the sa rgument, o d on o c d design n was ". . . ertain diffi tation of hu esign as "p to be se m lected e item, and the n paled a reco culties man o Iannin for an social gnitio ccupa g tha th p into n for th award e award lanning an comparativ that the de e judges, b tions, cerem t results in ". s, e ta u the m each in its d its express insignifica iled consid t their repo onies or pla any visua o y ll challe dern city w own way, h ion in the nce when seerations of rt continue ". This bro y nge fa as rea structu archit s that ad system cing th ching ad tackled th re and en against ecture the fin a a a values of vast com e second h point of c is problem forms of th the massiv nd industri l and g p alf of ri . e prob a oals a lexity and the tw sis and tha Each recog e modern lems l In re bein in turn entieth t its so nised city. T of outsid deciding g quest is c luti tha he e the to rep ioned part of a b entury. Eac on was po t the evoluti three ." igger h ss emph asised range of rint A City is system recognised ibly the greon of of soc th a metho d , how e subjec ts not a ial org at the city test thesis s he adop ver, that "T normally Tree, DES anisati on wh a is is as re ts, he c IG for th e city levant are applic principles overed by N is aware ose And it provid to ind able a he [D the m that it ustri t all le r Ale aga will se stand is importa es the conte al designers vels of de xander] de zine. The em to back, n si sc ju b once in t that those xt into whic , architects gn". It wa ribes, and dges' rep e a whil of us h an s th ort Archit A City is not e, to ta who a most build d engineers felt that Dr e analytica ec ke in th re pri ings, p as it is Alexa l Since tural Forum a Tree is re e broa ma ro der vie rily concern ducts and se city plan er's to nd th of the e article w , where it produced h w. ed wit h such rvices ners, autho as firs o e m r. t publi riginally ap re by kind things ust fit. shed so pe p should me slig ared in tw ermission o ht am o part f the endm s A ents h in April an merican jo ave be d u en ma May last rnal de at th ye e requ ar. est 1 23
  • 24. What just happened? 1,2,3,4,5 1,2,3,4,5 3,4,5 3,4,5 1,2 3,4 1,2 3,4 1 4 5 2 3 1 2 3 4 5 24
  • 25. What just happened? 1,2,3,4,5 1,2,3,4,5 2,3,4,5 2,3,4,5 1,2 2,3,4 1,2 2,3,4 4 5 1 2 3 1 2 3 4 5 25
  • 26. Shape Sporting Good Oval Circle Fruit Football Soccer Ball Melon Orange 26
  • 27. Design and Categorization We tend to break content into non-overlapping boxes Reality consists of many overlapping parts Traditional requirements analysis techniques are top-down Mining reality might help, but yields complexity 27
  • 28. Design as a Search Process The are a large (virtually infinite) number of possible designs for a given problem scenario. A designer fleshes out design ideas from this design space. The design ideas can be evaluated using criteria that a given design has to satisfy. Design is seen as a formal, structured process. 28
  • 29. Types of Solutions Local solution space – all solutions that can be reached from the current solution with available skills and resources Global solution space – all possible solutions, for which resource might need to be mobilized. Problems are used to mobilize resources 29
  • 30. Question What is the next conceivable design that we have not thought of yet? 30
  • 32. Design Space and Evaluation Space Design Evaluation Jeff Nickerson (2012) 32
  • 33. Design Space: Example # of steps in the process A B C # of human operators involved in the Cf. Jeff Nickerson (2012) process 33
  • 34. Evaluation Space: Example $ execution cost C B A $ implementation cost Cf. Jeff Nickerson (2012) 34
  • 35. Design Dimensions for Processes Structural Complexity Activity Design Behavioral Complexity Discrete Paths Decisions Data Integration Inputs Outputs Resource Integration ... 35
  • 36. Evaluation Dimensions for Processes Simplicity Adaptability Usability Modularity Security Maintainability ... 36
  • 37. Imitate, Adapt, or Innovate? Given a particular business problem, a designer’s choices are Imitate: To imitate existing designs, possibly by transferring them from other domains or implementation platforms. Adapt: To provide detail for a high-level design sketch that is deemed applicable to more than one problem scenario (i.e. reference models). Innovate: To develop an entirely new design 37
  • 38. 38 16
  • 39. 39 17
  • 40. 40 18
  • 41. Process Design Driven by a Constraint
  • 42. Systematic Doubt (Horst Rittel) Describe a situation and frame a problem Then negate each statement - one at a time - to generate a solution. Make the last statement “Problem:” 42
  • 43. Systematic Doubt (cont’d) “The principle of systematic doubt relies on a simple principle of logic - if statements in a set make the set true, then the negation of any one of the statements makes the set false. So if a certain number of conditions contribute to the problem, the negation of any one of them negates the whole problem. First, we express the problem in a story form as a number of statements.” Horst Rittel, class notes 1978 43
  • 44. Systematic Doubt - Example A1  At the Stadium in Southern Oakland A2  Sporting and concert events are held. A3  After an event everyone leaves A4  For many, Bart is the only means of transportation A5  Access to Bart exists solely by pedestrian bridge A6  The bridge is narrow A7  People are funneled in from two sides A8  They walk slowly because of the density of people A9  People don't like being in a herd for half an hour A10 Problem - Reduce the time spent getting from the stadium to Bart. 44
  • 45. Negating the Issues N1  Not at the stadium in Southern Oakland - Move the stadium to a different location 45
  • 46. Negating the Issues N1  Not at the stadium in Southern Oakland - Move the stadium to a different location N2  Sporting and concert events are not held - With no events, there would be no crowds N3  After an event everyone doesn't leave - Stagger the exiting N4  For many Bart is not the only means of transportation - Provide other means N5  Access to Bart doesn't exist solely by a pedestrian bridge - Build a tunnel N6  The bridge isn't narrow - Widen the bridge N7  People aren't funneled in from two sides - Allow approach from only one side N8  They don't walk slowly - Teach people how to move more quickly in a crowd N 9  People like being in a herd for half an hour - Play music, provide entertainment N 10  No problem - Let them wait on the bridge; consider the wait as part of the event. 46
  • 47. Teaching Design - Learning Goals Each student can develop an integrated IT architecture that satisfies technical and organizational constraints Students develop viable designs Starting from a broad problem, students develop a specific problem scenario 47
  • 48. Evaluation: Starting from a broad problem, students develop a specific problem scenario Poor Acceptable Good The scenario is consistent with the broad No link Apparent link Strong link problem definition The scenario is specific, detailing actors, systems, Restatement of the Additional Detail Strong, specific example and the messages problem between them The scenario represents Gets to the heart of the the core of the broadly Trivial Worthy of solution matter defined problem 48
  • 49. Evaluation: Students develop a viable design Poor Acceptable Good The design is Diagram conventions The idea can be The idea is very clear communicated well are ignored understood The design fulfills the The constraints are The design is arguably The design is clearly problem constraints ignored within the constraints within the constraints Alternative designs are generated, and Several similar Several quite different No alternatives compared against each alternatives alternatives other The design demonstrates a holistic grasp of both the People or technology Their interaction is Both are considered technical and social are ignored clear aspects of the proposed system The design is trivial or The design is innovative The design is strong The design is solid confused or thought-provoking 49
  • 50. Students develop viable designs Problem Definition Distributed Node Topology Redesign stock exchanges and the they Chicago node London node interconnect and work together, taking trading, msft.stock.nasdaq t.stock.nyse gold.commodity.tse yen.currency.ftse settling, and resiliency into yen.currency.ftse vbinx.fund.nasdaq account.Distributed Node TopologyThe core backbone for trading will consist of an Internet-style network of distributed nodes. Each stock/bond/security will have San Francisco node New York node between 3 and 16 trading nodes depending upon transaction msft.stock.nasdaq msft.stock.nasdaq t.stock.nyse volume demands for the stock. Stock transaction details are gold.commodity.tse gold.commodity.tse vbinx.fund.nasdaq synchronized in real-time amongst the nodes which are yen.currency.ftse established for each stock. The trading nodes are distributed geographically throughout the world and are connected via a secure high-speed fully distributed backbone with multiple Tokyo node Houston node connectivity paths between nodes. t.stock.nyse t.stock.nyse yen.currency.ftse yen.currency.ftse gold.commodity.tse vbinx.fund.nasdaq Trading Transaction ProtocolBuyers and sellers connect to the trading network through a market maker. The market maker is authorized to connect to the network nodes Market Seller Market to conduct transactions. When a trade is requested, the Maker Maker market maker uses the TNNS to locate and connect to a node (Seller) (Buyer) Buyer which is responsible for coordinating trading of the stock. Public Key transactions will be done first if the market maker and the node are not aware of each other's public keys. Once Trading Transaction Protocol sell (Price, Quantity, Spread, Time Limit, MM (Seller) ID) this is done, any number of trades can be executed, each Returns Ask_ID if successful placing the ask Returns failure if ask unsuccessful transaction packet will be encrypted using the exchanged public keys. buy (Price, Quantity, Spread, Time Limit, MM (Buyer) ID) Returns Bid_ID if successful placing the bid Returns failure if bid unsuccessful Trading Node Naming System (TNNS) revoke (Ask_ID/Bid_ID, MM (Buyer) ID) Nodes are located using a DNS-style naming network called Returns success if stock has not yet been traded Returns alreadytraded if it has been traded and cannot be revoked Trading Node Naming System (TNNS). This system will Returns cancelled if subdomain controller cancelled transaction incorporate caching and redundancy just like DNS does. status (Ask/Bid ID, MM (Buyer/Seller) ID) Unlike DNS, each name will contain a complete list of Returns pending if not already traded Returns sale details if traded (trade time, price, quantity) redundant trading nodes for the particular stock rather than Returns cancelled if subdomain controller cancelled transaction one individual server location. Each subdomain controller has open_trading (Subdomain Controller ID, Authorization Codes) control over the addition of new names and the nodes that the halt_trading (Subdomain Controller ID, Authorization Codes) names are used on. In addition, the subdomain controller can Examples of Transaction Requests: halt trading and open trading on a particular stock by issuing a ttp://t.stock.nyse/sell (Body of request contains encrypted structure containing variables price, quantity, spread, time limit, MM ID) command to the nodes. If a stock is halted, they have the ttp://t.stock.nyse/buy (Body similar to sell) option of canceling active buyer and seller requests. ttp://t.stock.nyse/status Stock Name Examples msft.stock.nasdaq Microsoft on the NASDAQ Exch. Trading Node Naming System (TNNS) t.stock.nyse AT&T / New York Stock Exch. Root Chris Boraski vbinx.fund.nasdaq Node MGT 784ST Assignment 5 Vanguard Index Fund / Nasdaq 2/14/2004 gold.commodity.tse nyse subdomain Value of Gold Ounce / Tokyo yen.currency.ftse Value of Yen / London Exchange nyse nasdaq tse ftse bond stock stock fund commodity currency nyc t msft vbinx gold yen 50
  • 51. The Bottom Line Design requires consideration of two distinct spaces: design space and evaluation space Our cognitive facilities are limited when dealing with multi- dimensional problems Process engineers should learn design thinking, and process designers need to appreciate an engineer’s viewpoint We can teach this 51
  • 52. Recommended Reading Frederick P. Brooks: The Design of Design Addison Wesley, 2010. Herbert Simon: The Sciences of the Artificial. MIT Press, 1996. 52
  • 53. In every age someone, looking at Fedora as it was, imagined a way of making it the ideal city, but while he constructed his miniature model, Fedora was already no longer the same as before, and what had been until yesterday a possible future became only a toy in a glass globe. Italo Calvino: Invisible Cities, 1972 53
  • 54. Thank You - Questions? Ph.D. ion Mu ehlen, ess Innovat zur oc ment M ichael Business Pr gy Manage for nolo Center hool of Tech hnology Sc ec Howe Institute of T dson s u Steven int on the H Po Castle , NJ 07030 3 n 6-829 H oboke +1 (201) 21 5385 Phone : 216- ns.edu +1 (201) @steve /bpm Fax: uehlen du : mzurm w.stevens.e urmuehlen E-mail ww http:// eshare.net/ mz Web: www.s lid slide s: 54