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Evolutionary Biology and Knowledge Management Exploration

This research review delves into the intertwining realms of evolutionary biology and knowledge management, examining historical milestones, influential theories, and the emergence of autopoiesis as a key concept. Dr. William P. Hall presents a comprehensive analysis that showcases the biological foundation of knowledge and its implications on organizational epistemology.

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Evolutionary Biology and Knowledge Management Exploration

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  1. Three Blind Men and the Elephant: "Does the trunk go on the knee?" Towards a science of knowledge William P. Hall (PhD Biol. Harvard 1973) Work: Head Office / Engineering Tenix DefenceWilliamstown, Vic. 3016http://www.tenix.com/mailto:bill.hall@tenix.com Research:Evolutionary Biology of Species and Organizationshttp://www.hotkey.net.au/~bill.hall/mailto:bill.hall@hotkey.net.au Personal Research

  2. Review:Where is knowledge management today? (1) • History of biology • Natural History • Natural philosophy (Plato, Aristotle) • Linneaus (1753-1758), principles of naming • Taxonomic classification and anecdotes • Science of biology • 1859: Darwin theory of natural selection • 1900: Mendel genetics, cell theory, chromosomes in inheritence • 1930: RA Fisher - Genetical Theory of Natural Selection (1930) • 1937-50: T Dobzhansky, E Mayr; GG Simpson, GL Stebbins - synthetic theory of evolution • 1955: Prigogine; 1968: Morowitz - dissipative thermodynamics • 1945-1960: Biochemistry, molecular biology, biochemical genetics • x-ray crystallography, electron microscope, isotopic tracers • 1953: Watson & Crick structure of DNA • 1975: EO Wilson Sociobiology • 1993: S Kauffman Origins of Order • 2002: SJ Gould Structure of Evolutionary Theory Personal Research http://www.hotkey.net.au/~bill.hall

  3. Where is knowledge management today? (2) • History of knowledge management • Natural philosophy of knowledge • Plato and Aristotle • 1934, 1959: Karl Popper'sLogic of Scientific Discovery • 1958: Michael Polanyi'sPersonal Knowledge • 1972: Karl Popper'sObjective Knowledge • 1999: Ilkka Niiniluoto's Critical Scientific Realism • Conflicts between realist & constructivist views of knowledge highlighted/ resolved by Niiniluoto - who is unknown in KM discipline • Natural History • 1994: Karl Sveiby's PhD Thesis • 1995: Nonaka & Takeuchi • (towards a) science of knowledge • 1974, 1980: Maturana and Varela's Autopoiesis • 1982: Nelson & WinterEvolutionary Theory of Economic Change (~1900) • 1995: von Krogh & RoosOrganizational Epistemology (~1950) • 2000: Firestone & McElroy (~1960) • However - knowledge is a product of biology and biology should provide the basis for a science of knowledge Personal Research http://www.hotkey.net.au/~bill.hall

  4. Autopoiesis: Maturana and Varela 1980 • Autopoiesis (= self + production) is the emergent condition achieved by a bounded (self-identifying), self-regulating set of processes able to maintain its existence as an autonomous entity in the face of environmental perturbations; i.e., that which qualifies a complex entity as "living". • Recognizing an autopoietic entity (see von Krogh & Roos) • Identifiably bounded (membranes, tags) • Identifiable components within the boundary (complex) • Mechanistic (i.e., metabolism/cybernetic processes) • System boundaries internally determined (self reference) • System intrinsically produces own components • Self-produced components are necessary and sufficient to produce the system (autonomy) Personal Research http://www.hotkey.net.au/~bill.hall

  5. Non-equilibrium thermodynamics + autopoiesis = "life" • Physics of dynamic systems • Prigogine – Nobel Laureate for studies on non-equilibrium thermodynamics • Morowitz (1968) – Energy Flow in Biology: • Systems forced to evolve increasingly complex cycles to transport energy/matter from sources to sinks • Kauffman (1993) – Origins of Order: • "autocatalytic sets" • "organization for free" • Autopoiesis • Quest to define the property of life • Maturana and Varela (1980) – Autopoiesis & Cognition – left time out of the equation • Basis for radical constructivism confuses the issue for realists • Hugo Urrestarazu (2004) On boundaries of autopoietic systems • William Hall (2005) –Biological nature of knowledge in the learning organization • Pulling the threads together Personal Research http://www.hotkey.net.au/~bill.hall

  6. Karl Popper's 3 worlds ontology Cybernetic self-regulation Cognition Consciousness Heredity Expressed language Recorded thought Computer memory Logical artifacts Development/Recall Reproduction/Production World 2 World of mental orpsychological states and processes, subjective experiences Emerges from world 1processes. Organismic/personal knowledge in world 2 emerges from world 1processes Polanyi's epistemology of personal knowledge encompassed within Popper's World 2 Test Observe World 3 The world of objective knowledge Produced / evaluated by world 2 processes Regulate/Control Describe/Predict Drive/Enable Inferred logic Energy Thermodynamics Physics Chemistry Biochemistry Existence/Reality World 1 Personal Research http://www.hotkey.net.au/~bill.hall

  7. Pn a real-world problem faced by an entity TS a tentative solution/theory.Tentative solutions are varied through iteration EE a process of error elimination Pn+1 changed problem as faced from by an entity incorporating a surviving solution The whole process is iterated Karl Popper's "tetradic schema", "evolutionary theory of knowledge" or "general theory of evolution" TS TS TS 1 1 1 TS TS TS 2 2 2 P P P EE EE EE P P P • • • n n n n n n +1 +1 +1 • • • • • • • • • • • • TS TS TS m m m iteration • Knowledge is embodied in autopoietic systems • TSs may be embodied in W2 in the individual entity, or • TSs may be expressed in words as a hypothesis in W3, subject to objective criticism • Objective expression and criticism lets our theories die in our stead • Through cyclic iteration, tested solutions can approach reality Personal Research http://www.hotkey.net.au/~bill.hall

  8. Achieving strategic power depends critically on learning more, better and faster, and reducing decision cycle times compared to competitors. See http://www.belisarius.com. John Boyd's OODA Loop process wins conflicts O CULTURE PARADIGMS PROCESSES DNA GENETIC HERITAGE INPUT ANALYSIS SYNTHESIS MEMORY OF HISTORY ACT (Test) DECIDE (Hypothesis) OBSERVE (Results of Test) ORIENT GUIDANCE AND CONTROL PARADIGM OBSERVATION PARADIGM EXTERNAL INFORMATION D A O CHANGING CIRCUMSTANCES UNFOLDING ENVIRONMENTAL RESULTS OF ACTIONS UNFOLDING INTERACTION WITH EXTERNAL ENVIRONMENT Personal Research http://www.hotkey.net.au/~bill.hall

  9. Some OODA definitions from John Boyd • Generic process for any complex adaptive entity • Observationassemblesdata about the world (including the entity's own effects and those of its competitors on that world). Data is given context relating to interactions with the world. • Orientationprocessesinformation from thoseobservations into semantically linked knowledge to form a world view comprised of • recentobservations, • memories of prior experience (which may be explicit, implicit or even tacit), • genetic heritage (i.e., "natural talent"), • cultural traditions (i.e., paradigms), and • analysis (destruction) of the existing world view, and synthesis (creation) of a revised world view including possibilities for action. This generates intelligence (in a military sense). • Decisionselects amongst possible actions generated by the orientation, action(s) to try. Choice is governed and informed by • wisdom based on experience gained from previous OODA cycles, and • the synthesis (creation) of new possibilities to try. • Action puts tests decisionsagainst the world. The loop begins to repeat as the entity observes the results of its action. Personal Research http://www.hotkey.net.au/~bill.hall

  10. Popper's General Theory of Evolution + John Boyd • With John Boyd's insights made explicit TS1TS2• • • • • TSm Pn On EE Pn+1 A O = Observation of the world A = Application or "Action" on the world • This is what Popper's General Theory of Evolution looks like for an entity that does not codify its knowledge, i.e., where there is only dispositional or "subjective" knowledge not subject to linguistic criticism. • Note: Action precedes error elimination. • Entities acting on erroneous knowledge fail and are eliminated Personal Research http://www.hotkey.net.au/~bill.hall

  11. Knowledge growth through self-criticism (Popper) ORIENTATION TS1TS2• • • • • TSm W2 TT1TT2• • • • • TTm W3 Self- Criticism On D A Pn Pn+1 EE W1 World 1 - Everything TT Tentativetheories W2 World 2 - dispositionalknowledge. Tentativetheories are first imagined in W2 W3 World 3 - linguistically expressed, persistent and codified knowledge that can be semantically understood Self-Criticism - the process by which objectively expressed tentative theories can be falsified and eliminated • Objective expression and criticism lets our erroneous theories die in our stead Personal Research http://www.hotkey.net.au/~bill.hall

  12. First take on what knowledge is • Popper's World 1 encompasses everything - it is the dynamic reality that exists independently of observation, knowing and knowledge • Observation, meaning and knowledge dynamically emerge fromW2as consequences of universal laws governing physical processes in W1 as these processes impact living entities with an autonomous history able to distinguish themselves from the rest of the world • Observation is a dynamic change propagated within the autopoietic system resulting from an interaction with the world • Meaning is a consequence of the observation induced change in the constitution of the autopoietic system • Knowledge (in one sense) is the persistent effect of a history observation and meaning as represented in successfully surviving autopoietic systems, i.e., solutions to problems • There is an epistemic cut between phenomena of W1 and the knowledge of the phenomena as represented in the living system (Howard Pattee, 1995). Personal Research http://www.hotkey.net.au/~bill.hall

  13. Where I am now: Knowledge is a product of complex organised systems Personal Research

  14. Tendencies towards the paradigm of the autopoietic organization • Karl Deutsch (1963): The Nerves of Government • Stafford Beer (1972/1981): Brain of the Firm • Nelson & Winter(1982): Evolutionary Theory of Economic Change • Organizational knowledge transcends knowledge of individual members to form organizational heredity acting to maintain the existence and behaviour of the organization (i.e., self-production). • N&W assumed much of this transcendent knowledge was tacit (after Polanyi) • physical layout • routines • contexts • connections • Accepted but did not stress objective forms of knowledge • von Krogh and Roos (1995) Organizational Epistemology • Magalhaes (1999) PhD Thesis: The organizational implementation of information systems - towards a new theory. Personal Research http://www.hotkey.net.au/~bill.hall

  15. Are organisations really autopoietic? • Self-identifiably bounded • Members tagged with ID badges, membership cards, etc. • Identifiable components within the boundary • Members are individually unique, recognise one another as members; also machines, property, bank accounts, etc. • Mechanistic • Rewards & benefits to belong, processes, routines, procedures • System boundaries internally determined • Rules of association, voluntary allegiance to organisational rules • System intrinsically produces own components • Recruitment, induction, training, HR, etc. • Self-produced components are necessary and sufficient to produce the system • Organisation outlives the association of particular individuals Personal Research http://www.hotkey.net.au/~bill.hall

  16. Complexity theory: Hierarchically complex dissipative systems and the focal level HIGH LEVEL SYSTEM / ENVIRONMENT boundaryconditions, constraints, regulations • Emergent • properties • Synthesis cannot predict higher level properties • Bbehaviour isuncomputable • Boundary conditions & constraints select • Analysis can explain FOCAL LEVEL SYSTEM SYSTEM SYSTEM Possibilitiesinitiatingconditionsuniversallaws"material -causes" SUBSYSTEMS • Stanley Salthe (1993) Development and Evolution: Complexity and Change in Biology Personal Research http://www.hotkey.net.au/~bill.hall

  17. Some concepts building on autopoiesis theory and Karl Popper's theory of knowledge • Organisations (and other living things) are complex dissipative systems emerging from the medium • They consume environmental resources that are limited • Resources • People • Income • Sinks for entropically degraded materials/devaluedenergy • Competition limits survival { Resources People Economics Information Constraints Medium or supersystem WORLD 1 ("everything") Organisation 1 Organisation 3 Organisation 2 Organisation 4 Personal Research http://www.hotkey.net.au/~bill.hall

  18. Processes (which may be complex subsystems that are autopoietic in their own rights) are necessary responses to imperatives: Survival Self-maintenance of the processes themselves The organisation is a complex system in the environment Constraints and boundaries(laws of nature determine what is possible) The organisation's imperatives and goals Entropy/Waste Processes Energy (exergy) Materials Products Recruitment Departures Income Expenses Observations Actions Personal Research http://www.hotkey.net.au/~bill.hall

  19. Knowledge in an autopoietic entity Material Reality WORLD 1 Embodied cybernetic knowledge WORLD 2 Symbolically encoded knowledge/ memory WORLD 3 Produce ITERATION/SELECTION THROUGH TIME Recall Constrain/Control Observe/Measure AUTOPOIETIC SYSTEM Personal Research http://www.hotkey.net.au/~bill.hall

  20. Knowledge: a phenomenon of emergent and evolving autopoiesis † † † † The nature and growth of autopoietic knowledge Turbulent flow from available energy (exergy) sources to entropy sinks forces conducting systems to organise (state of decreased entropy) - Prigogine, Morowitz, Kay and Schneider, Kauffman) Coalescent systems have no past. Self-regulatory/self-productive (autocatalytic) activities that persist for a time before disintegrating produce components whose individual histories "precondition" them to form autopoietic systems. Each emerged autopoietic system represents a tentative solution to problems of life. Those that dis-integrate lose their histories (heredity/knowledge). Stable systems are those whose tentative solutions enable them to persist indefinitely.Competition among such systems for resources is inevitable. Survivors thus perpetuate historically successful solutions into their self-produced structure to form dispositional or tacit knowledge (W2). Those that fail to solve new problems dis-integrate and lose their histories. Replication, transcription and translation. With semantic coding and decoding, knowledge can be preserved and replicated in physiologically inert forms for recall only when relevant to a particular problem of life.Objective knowledge may be shared across space and through time. - Howard Pattee (1965-2000) series of papers; Luis Rocha (1995-) series of papers. Evolutionary Stage Turbulence Integration Dis-integration Coalescence / Emergence Tentative solutions Stabilised autopoiesis Stable solutions Dispositional autopoiesis Selected solutions Semiotic autopoiesis Sharedsolutions Criticised solutions Knowledge sharing Personal Research http://www.hotkey.net.au/~bill.hall

  21. Emergent autopoietic vortexes forming world 2 and world 3 in a flux of exergy to entropy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Exergysource Entropysink Symbolic knowledge Embodied knowledge Autocatalytic metabolism Autonomy Material cycles World 1  Flux along the focal level  Personal Research http://www.hotkey.net.au/~bill.hall

  22. Cognition (terms are meaningful in relation to autopoietic or artificially intelligent systems) • Observation: Initial change induced within the autopoietic system by a perturbation • Classification (/ decision): Process by which an induced change results in the system settling into one of alternative attractor basins on a landscape of potential gradients • Meaning: The net result in the system due to the initial propagation and classification of an observation • Coombe's Hierarchy • Data: The atomic level of meaning • Information (first level of synthesis): Classified observations assembled into relationship structures • Knowledge (second level of synthesis):Semantically identified and linked information • Intelligence (third level of synthesis): Tentative theory(ies) about the world based on knowledge • Wisdom (fourth level of synthesis): Solutions after the elimination of errors through testing theories against the world • Strategic power (the result): Wisdom applied to control the world Personal Research http://www.hotkey.net.au/~bill.hall

  23. Coombe's hierarchy in the autopoietic entity Autopoietic system Cell Multicellular organism Social organisation State Classification Memory of history Environment Semantic processing to form knowledge Observations(data) Meaning Predict, propose Perturbations Intelligence Related information Personal Research http://www.hotkey.net.au/~bill.hall An "attractor basin"

  24. Another view Time World State 2 Conscious OODA Loop in Material Terms Medium/ Environment Autopoietic system Memory Observation World State 1 Classification Perturbation Transduction Synthesis Decision Codified knowledge Evaluation Processing Paradigm AssembleResponse Observed internal changes Iterate Effect Internal changes Effect action Personal Research http://www.hotkey.net.au/~bill.hall

  25. Organizational knowledge Process Infrastructure People PRACTICAL RESEARCH IN PROGRESS Leave one of the legs off, and the stool will fall over Personal Research

  26. KM: Managing People, Process, Infrastructure CULTURE & PARADIGMS GENETIC HERITAGE PEOPLE PEOPLE PEOPLE ANALYSIS SYNTHESIS ORIENTATION PROCESSES INPUT OBSERVE DECIDE, ACT INFRASTRUCTURE “CORPORATE MEMORY” DOCS RECORDS DATA CONTENT LINKS RELATIONS ANNOTATIONS Personal Research http://www.hotkey.net.au/~bill.hall

  27. People: (work in progress) Team Expertise Access Mapping to Facilitate Community of Practice Emergence with: Susu Nousala Aerospace, Mechanical and Manufacturing Engineering RMIT University Bill Kilpatrick Marine Division Tenix Defence Aaron Miles Marine Division Tenix Defence Information Sciences and Technology Massey University Personal Research

  28. Team Expertise Knowledge Mapping (TEAM) • Knowledge pertinent to organizational survival may exist in world 2 and world 3 in a variety of forms. • Knowledge held individually by people belonging to the organization • Tacit organizational routines belonging to internal communities (i.e., CoPs) that may be autopoietic in their own rights • Physical layout (Nelson and Winter 1982) • Corporate documentation • To respond rationally to imperatives and perturbations • Identify,access, assemble and use relevant knowledge • Organizational resources and time available to do it are limited • Effective organizational response is bounded by these limitations • Best decision the organization can strive for ('bounded rationality' is 'just good enough', or 'satisficing' rather than optimizing (Simon 1955, 1957; Arrow 1974) • TEAM study focuses on individual knowledge Personal Research http://www.hotkey.net.au/~bill.hall

  29. The organization may know less than its members • Organizational knowledge is more than the sum of the knowledge of the organization's individual members, but people with their individual knowledge count • People have lives outside theirlocal organizational circumstances ('boundaryless careers') Arthur 1994) • Peopleknow a lot the organization doesn't • Tacit (Polanyi 1958, 1966) skills and understandings that cannot readily be expressed in words; • Implicit knowledge the person can articulate and which could readily be shared if anyone knew to ask for it (Snowden 2000, 2002) • Explicitdocuments and other tangible resources the individual may know about but that are not generally known about in the organization. • Social cooperation coordinates individual knowledge for organizational purposes Personal Research http://www.hotkey.net.au/~bill.hall

  30. Individual knowledge in the organization • Important difference • individual knowledge (in any form), known only by a person • organizational knowledgeis (socially) available and accessible to those who can apply it for organizational needs • Even where explicit knowledge exists, individual knowledge may be required to access it within a useful response time. • Individual knowledge addresses questions like: • whohas the tacit capabilities and experience to perform a task • whatknowledge is needed • where explicit knowledge may be found • why the knowledge is important or why it was created • when the knowledge was or may be needed • how to apply the knowledge. • To improve organizational OODA performance a way is needed to rapidly find and coordinate people who have appropriate individual knowledge but don't know the problem exists. Personal Research http://www.hotkey.net.au/~bill.hall

  31. Knowledge mapping • Codification of knowledge vs pointing • Snowden's paradoxes • know more than we can say • say more than we can write • knowledge will be volunteered but cannot be conscripted • Availability of the knowledge is more important than its form • Mind mapping was originally a brainstorming tool to help codify • Offers flexibility • Substantial textual annotation capabilities • Linking • Used to facilitate social coordination of individual knowledge • Socialization in the interview process • People happy to share career successes and war stories • Socialization in the search and retrieve process • Experts introduced as people with rich stores of experience Personal Research http://www.hotkey.net.au/~bill.hall

  32. First use: as a contact list (Tom Le Grice) Personal Research http://www.hotkey.net.au/~bill.hall

  33. Drill down • Click twig on map: • Application • Status • Contact name and link • Click contact link: • Position • Physical address • Contact modes and details Personal Research http://www.hotkey.net.au/~bill.hall

  34. Second use: types of knowledge (TEAM Project) Personal Research http://www.hotkey.net.au/~bill.hall

  35. Second layer 3rd Layer  Snippet from narrative Importance Cost control is really required from the start of a project right to the last day. It is crucial to making a profit. You may tender based on not making a profit or even making a loss, but only cost control will increase the chances of making a profit or minimise the loss. Forecasting will tell you how you are going to go in the future and whether we need to make any changes. 4th Layer  The complete interview as organized into the common structure Personal Research http://www.hotkey.net.au/~bill.hall

  36. Process: (Work in Progress) Knowledge Based Improvement of Business Processes Peter Dalmaris Faculty of Information Technology University of Technology Sydney Personal Research

  37. Knowledge Based Improvement of Business Processes • Developed in a framework of Popperian epistemology • three worlds • evolutionary theory of knowledge • An "organizational learning" method Personal Research http://www.hotkey.net.au/~bill.hall

  38. Evolutionary improvement of the methodology • Evolutionary improvement of the methodology • Problem formulation • Reaching the solution Personal Research http://www.hotkey.net.au/~bill.hall

  39. The current state of the methodology • Observe • Establish business ontology • 'As is'audit • Orient • Map, analyze, synthesize • Decide • Present 'as could' • Implement Personal Research http://www.hotkey.net.au/~bill.hall

  40. Infrastructure: (work in progress) Fleet/Product Lifecycle Knowledge Management William P. Hall Head Office / Engineering Tenix Defence Personal Research

  41. Organizational imperatives for the operators • Needs to use the capabilities provided engineered product(s) to competitively maintain or improve its strategic position in the world. • Product must supportable, maintainable, available and effectively useable by its operators to provide superior capabilities when required at an economically feasible cost and lifespan. • In the case of defence organizations, the product's capabilities may be tested in direct military confrontation with an opponent's comparable products. Personal Research http://www.hotkey.net.au/~bill.hall

  42. Major issues for the product's operators • Capability when it is needed • Reliably does what it is supposed to • Available for service when needed • Maintainable - problems can be fixed when they arise • Supportable - critical needs available in supply chain • Operable within limits of human knowledge & capacity • Health, safety and operational knowledge issues • Heavy/complex engineered products can kill! • Life-cycle cost • Minimise acquisition cost • Minimise costs for documentation, support & maintenance • Implement "lean maintenance" philosophy Adequate performance on all issues depends on the quality of authoring, management and transfer of technical knowledge from supplier to operators and maintainers Personal Research http://www.hotkey.net.au/~bill.hall

  43. Organizational imperatives for the supplier • The engineering and project management organization seeks to maintain or improve its strategic position in the world • markets its ability in a competitive marketplace to design, engineer, produce and document the products that will satisfy its clients' needs. • Organizations able to successfully bid and complete the product development and production activities faster, better and less expensively than their competitors should gain strategic power in their markets. • In most cases the success factors are mutually contradictory, as will be graphically demonstrated below. • Considerable care must be taken to optimise the contradictory factors in a way that reflects commercial reality. Personal Research http://www.hotkey.net.au/~bill.hall

  44. Major quality issues in delivering product/system support knowledge • Client's delivery goals for operational/maintenance docs • Correct • Correct information • Consistent across the fleet • Applicable/Effective • Applicable to the configuration of the individual ship/vehicle • Effective for the point in time re engineering changes, etc. • Available • To who needs it, when and where it is needed • Useable • Readily understandable by humans • Readily managed & processed in computer systems • Supplier's knowledge production and usage goals • Fast • High quality • Low cost Personal Research http://www.hotkey.net.au/~bill.hall

  45. But............. • Common NATO wisdom is that 5-9% of fatal accidents in military trace to documentation errors • I can't confirm this from an authoritative source • RAN supply ship Westralia • HMAS Westralia Tragedy Board of Inquiry 1998 • WA Coroner's Report 2003 • Broken high pressure fuel hose caused engine room fire • Published configuration change procedures not followed • Four died, ship disabled for four years • ESSO Longford Gas Plant • Longford Royal Commission 1999 • Hot oil supply lost, gas separator froze, became brittle, broke and caused explosion when hot oil supply returned • Appropriate documentation did not exist/was not available to plant operators • Two died, Victorian gas supply interrupted for three weeks causing $ 1 BN disruption to business Personal Research http://www.hotkey.net.au/~bill.hall

  46. Tenix/Navy architecturedeveloped in Melbourne for managing ANZAC Ship support knowledge TeraText Content management limited to maintenance procedures only Crossbow Validates and integrates data across 15 legacy systems AMPS Navy's maint mgmt CSARS Provides corrective feedback from AMPS into supplier's knowledge development activities change task DOCUMENT DOCO CONTENT shared systems? AUTHORING MANAGEMENT doco change doco released change doco change order Navy Systems DESIGN / ENG PRODUCT DATA PRODUCT CONFIG MRP MANAGEMENT MANAGEMENT change request ECO SYSTEM Product Model Product Model • • Plan • config change CAD / Drawing Drawing Mgmt • • Fabricate • Mgmt Config Mgmt • change effected doco change Assemble • Config Mgmt Change Request • • Workflow Eng Change data change • • Process Workflow • Control Process Doco Revision Control • & Release & Release Doco Revision • config changes & Release UPDATE MAINT DATA / PROCEDURE UPDATE CONFIG EC / doco change request LSAR DATABASE MAINTENANCE MANAGEMENT Schedule • Resource Reqs • Procedures • Completion • doco Downtime • server maintenance RECORDING history Resource Usage Analysis & • LOGISTIC REPORTING optimisation ANALYSIS ANALYSIS TOOLS TOOLS orders receipts (prime) (prime) Personal Research http://www.hotkey.net.au/~bill.hall SUPPLY SYSTEM

  47. The full fleet knowledge management environment     CLIENT MASTER DATA FILES TECHNICAL MAINTENANCE PLANS ENGINEERING CHANGES CONTRACTS SHIP SPECIFIC CONFIGURED MAINTENANCE ROUTINES     SUPPLIER SOURCE DOCUMENTS SAFETY CORRESPONDENCE SHIP SPECIFIC CONFIGURED MAINTENANCE ROUTINES SHIP SPECIFIC CONFIGURED MAINTENANCE ROUTINES COMPLETION REPORT ASSET MANAGEMENT & PLANNING SYSTEM AMPS MAINTAINER COMPLETING MAINTENANCE ACTION • ILS DB / LSAR DB • Line item details • Config details • Eng. Changes TERATEXT DB ASPMIS TRANSFER TECH AUTHOR MAINT. ENGINEER CSARS CLASS SYSTEM ANALYSIS AND REPORTING SOFTWARE MAINTENANCE AUDIT FUNCTION AUDIT AND LOGISTICS ANALYSIS Personal Research http://www.hotkey.net.au/~bill.hall

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