KI for Design of Complex Systems KORER ADVANCED INSTITUTE CF SCIEHCE AHD TECHHCLOOY Example Framework:TRIZProblem-solving TEOPNA PEILIEHMA M3OBPETATEJIbCKMX 3AJAy TRIZ:Theoria Resheneyva Isobretatelskehuh Zadach 寸 (Theory of Inventive Problem Solving) ABSTRACT Standard Standard Ideality Problem Solutions (TRIZ Formulation) (TRIZ Principles) A 项■■■■图由题国■第 PROBLEM SOLUTION n。t Contradiction My Specific My Specific Problem Solution Real World DETAIL Fall 2007 Stephen Lu KAIST Study Design Thinking to Make Design of Complex Systems Simple 16
Example Framework: TRIZ Example Framework: TRIZP bl ro em-Sli o vin g ine TRIZ: Theoria Resheneyva Isobretatelskehuh Zadach ecture 4 Outl Ideal ABSTRACT TRIZ: Theoria Resheneyva Isobretatelskehuh Zadach (Theory of Inventive Problem Solving) Standard Problem Standard Solutions Ideal System Ideality Le Problem (TRIZ Formulation) Solutions Ideality (TRIZ Principles) PROBLEM SOLUTION My Specific Problem My Specific Contradiction ? Solution Fall 2007 © Stephen Lu @ KAIST [ Study Design Thinking to Make Design of Complex Systems Simple ] 16 Real World DETAIL
KI for Design of Complex Systems KORER ADVANCED INSTITUTE CF SCIEHCE AHD TECHHCLOOY The Process of Design Thinking Design Thinking must entail a systematic design process that has the following characteristics: n Start with upstream market demands(WHAT:social reality) The design process must always begin with "Do-the-Right-Thing" Make rational choices of right design targets based on customer needs ■ Conclude with downstream physical constraints(HOW:brute reality) The design process must always end with "Do-the-Thing-Right" Solve for optimal design parameters based on domain knowledge/models Support the synthesis (upstream downstream)reasoning .The design mapping (i.e.,zinging process)is from WHAT>HOW Iterative analysis(e.g.,downstream>upstream optimizations,or HOW> WHAT reverse-mapping)can never result in good synthesis in design Incorporate downstream constraints earlier(in upstream decisions) The design decomposition(i.e.,zagging process)is from n-th layer of the downstream domain to the n+1-th layer of the upstream domain This zigzagging design process tracks dependencies and abstractions,while achieving the Design for Manufacturing (or Concurrent Engineering)goal Fall 2007 Stephen Lu KAIST Study Design Thinking to Make Design of Complex Systems Simple
The Process of Design Thinking of Design Thinking Design Thinking must entail a systematic design process th t h th f ll i h t i ti ine that has the following characteristics: Start with upstream market demands (WHAT: social reality) The design process must always begin with “Do-the-Right-Thing” Mk i l hi fihd i b d d ecture 5 Outl Make rational choices of right design targets based on customer needs Conclude with downstream physical constraints (HOW: brute reality) The design process must always end with “Do-the-Thing-Right” Solve for optimal design parameters based on domain knowledge/models L e Solve for optimal design parameters based on domain knowledge/models Support the synthesis (upstream Æ downstream) reasoning The design mapping (i.e., zinging process) is from WHAT Æ HOW Iterative analy ( g, sis (e.g., downstream Æ upp , stream optimizations, or HOW Æ WHAT reverse-mapping) can never result in good synthesis in design Incorporate downstream constraints earlier (in upstream decisions) The design decomposition (i.e., zagging process) is from n-th layer of the downstream domain to the n+1 th layer of the upstream domain Fall 2007 © Stephen Lu @ KAIST [ Study Design Thinking to Make Design of Complex Systems Simple ] 17 the downstream domain to the n+1-th layer of the upstream domain This zigzagging design process tracks dependencies and abstractions, while achieving the Design for Manufacturing (or Concurrent Engineering) goal
KI for Design of Complex Systems KORER ADVANCED INSTITUTE CF SCIEHCE AHD TECHHCLOOY Example Design Process:AD Functonal Domeln Phyelcal Domaln Proceee Domaln ulno rdtioral Reg立remerts) Derign Pa世】 (Process Varisbles) Mapping S 1 PVI CN1 Decorposition Constpamnt FRI1 FR12 DPI1 DP12 W11 W12 121 122 F123 P121 IP122 DP123 pW121 W122 W123 CN1 Food preservation -FR1/Coo/the food 1refrigeratorP1Refrigerator manufacturing process Decompose from DP1 FR1-1 Keep food DP1-1=? Constraint Within specific Ts Mapping From PV1 From FR1-1 FR1-2 Maintain uniform DP1-1 DP1-2=? Temperature within the box Fall 2007 C Stephen Lu KAIST Study Design Thinking to Make Design of Complex Systems Simple 18
Example Design Process: AD Example Design Process: AD ine CN1 Mapping Decomposition Constraint ecture 5 Outl L CN1 = Food preservation FR1 = Cool the food DP1 = a refrigerator PV1 = Refrigerator manufacturing process FR1-1 = Keep food Within specific Ts DP1-1 = ? Mapping From FR1-1 Decompose from DP1 Constraint From PV1 Fall 2007 © Stephen Lu @ KAIST [ Study Design Thinking to Make Design of Complex Systems Simple ] 18 FR1-2 = Maintain uniform Temperature within the box DP1-2 = ? DP1-1 From FR1 1
KI for Design of Complex Systems KORER ADVANCED INSTITUTE CF SCIEHCE AHD TECHHCLOOY TRIZ Problem-Solving Process 1. Identify your Ideal← specific problem Technical System 4TRI亿 in 2. Formulate the Physical Contradiction Separation problem with TRIZ 39 TRIZ Pringiples to identify Parameters contradictions System or 40fRi亿 CONTRADICTION 。Technical Technical Inventive ◆ physical Contradiction Principles 3. Search for TRIZ Standard Standard standard solutions Problem Solutions (principles) (TRIZ Formulation) (TRIZ Suggestions) 4. Examine the suggested TRIZ inventive principles Your Specific 5. Examine the effects Your Specific Problem Solution of suggested solutions Real World 6. Specific the solution Fall 2007 Stephen Lu KAIST Study Design Thinking to Make Design of Complex Systems Simple 19
TRIZ Problem TRIZ Problem-Solving Process Solving Process ine 1. Identify your Ideal Technical System Physical Contradiction 39 TRIZ Parameters 4 TRIZ Separation Principles y y specific problem 2. Formulate the problem with TRIZ eto identify cture 5 Outl System or Technical Contradiction Parameters 40 TRIZ Inventive Principles CONTRADICTION to identify contradictions Technical physical 3 S h f TRIZ L e Standard Problem (TRIZ Formulation) Standard Solutions (TRIZ Suggestions) 3. Search for TRIZ standard solutions (principles) 4. Examine the Your Specific Problem Your Specific ? Solution suggested TRIZ inventive principles 5. Examine the effects of suggested Fall 2007 © Stephen Lu @ KAIST [ Study Design Thinking to Make Design of Complex Systems Simple ] 19 Real World of suggested solutions 6. Specific the solution
KI for Design of Complex Systems KORER ADVANCED INSTITUTE CF SCIEHCE AHD TECHHCLOOY Generic c Axioms of Design Thinking Good Design Thinking must consist of an Ideality concept The design Ideality prescribes the most "ideal"state of a design i.e.,What could be the most ideal (not necessarily most practical)design result? Design thinking should guide designers move toward this Ideality Although the design Ideality is not always achievable in design practice,due to resource constraints,it does point to the right direction for designers to make better design decisions The design Ideality must be axiomatic and domain-independent Axioms cannot be proven deductively,but have no counterexamples An Ideality Maxim:the simplest design is the most ideal design This Maxim can be realized by different axioms in various design theories Axiomatic Design:an "uncoupled design"is the simplest(most ideal)design AD suggests ways to manage dependencies to achieve the design Ideality TRIZ:the simplest(most ideal)design is no design(FR without DP,contradiction) TRIZ suggests ways to resolve contradictions to achieve the design Ideality These Axioms are used to select good design concepts at early stages Axiomatic Design:the Independence Axiom,the Information Axiom TRIZ:Inventive/Separation Principles for system/physical contradictions Fall 2007 Stephen Lu KAIST Study Design Thinking to Make Design of Complex Systems Simple 20
Generic Axioms of Design Thinking of Design Thinking Good Design Thinking must consist of an Ideality concept Th d i Id lit ib th t “id l” t t f d i ine The design Ideality prescribes the most “ideal” state of a design i.e., What could be the most ideal (not necessarily most practical) design result? Design thinking should guide designers move toward this Ideality e Although the design Ideality is not always achievable in design practice, due to cture 6 Outl Although the design Ideality is not always achievable in design practice, due to resource constraints, it does point to the right direction for designers to make better design decisions The design Ideality must be axiomatic and domain-independent Axioms cannot be proven deductively but have no counterexamples L e Axioms cannot be proven deductively, but have no counterexamples An Ideality Maxim: the simplest design is the most ideal design This Maxim can be realized by different axioms in various design theories Axiomatic Design: an “uncoup g p( ) g led design” is the simplest (most ideal) design AD suggests ways to manage dependencies to achieve the design Ideality TRIZ: the simplest (most ideal) design is no design (FR without DP, contradiction) TRIZ suggests ways to resolve contradictions to achieve the design Ideality These Axioms are used to select good design concepts at early stages Fall 2007 © Stephen Lu @ KAIST [ Study Design Thinking to Make Design of Complex Systems Simple ] 20 These Axioms are used to select good design concepts at early stages Axiomatic Design: the Independence Axiom, the Information Axiom TRIZ: Inventive/Separation Principles for system/physical contradictions