What is knowledge in Industry 4.0?

[1]  Å. Fast-Berglund,et al.  Current and future Industry 4.0 capabilities for information and knowledge sharing , 2019, The International Journal of Advanced Manufacturing Technology.

[2]  Linda Zagzebski.  What is Knowledge , 2017 .

[3]  I. Nonaka.  A Dynamic Theory of Organizational Knowledge Creation , 1994 .

[4]  Shaw C. Feng,et al.  Towards Knowledge Management for Smart Manufacturing , 2017 .

[5]  Armand Hatchuel,et al.  C-K design theory: an advanced formulation , 2008 .

[6]  Carsten Maple,et al.  Future developments in standardisation of cyber risk in the Internet of Things (IoT) , 2019 .

[7]  Morteza Ghobakhloo,et al.  The future of manufacturing industry: a strategic roadmap toward Industry 4.0 , 2018, Journal of Manufacturing Technology Management.

[8]  Päivi Heikkilä,et al.  Empowering and engaging industrial workers with Operator 4.0 solutions , 2020, Comput. Ind. Eng..

[9]  Yaniv Mordecai,et al.  Model‐based protocol specification , 2019, Syst. Eng..

[10]  Md. Mamunur Rashid,et al.  On some unique features of C–K theory of design , 2012 .

[11]  Dieter Fensel,et al.  Knowledge Engineering: Principles and Methods , 1998, Data Knowl. Eng..

[12]  Marco Conti,et al.  Data Management in Industry 4.0: State of the Art and Open Challenges , 2019, IEEE Access.

[13]  E. Clemons.  Using Scenario Analysis to Manage the Strategic Risks of Reengineering , 1995 .

[14]  V. Albino,et al.  A metric for measuring Knowledge Codification in Organisation Learning , 2001 .

[15]  Amm Sharif Ullah,et al.  Hidden Markov model-based digital twin construction for futuristic manufacturing systems , 2019, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[16]  Peigen Li,et al.  Toward New-Generation Intelligent Manufacturing , 2018 .

[17]  George Dimitrakopoulos,et al.  Cyber- Physical Systems and Education 4.0 -The Teaching Factory 4.0 Concept , 2018 .

[18]  Ratna Babu Chinnam,et al.  Product design and manufacturing process based ontology for manufacturing knowledge reuse , 2019, J. Intell. Manuf..

[19]  Sanghoon Lee,et al.  An algorithm for direct causal learning of influences on patient outcomes , 2017, Artif. Intell. Medicine.

[20]  Mariano P. Consens,et al.  Querying knowledge graphs with extended property paths , 2019, Semantic Web.

[21]  A. M. M. Sharif Ullah,et al.  Analysis of Kano‐model‐based customer needs for product development , 2011, Syst. Eng..

[22]  Evgeny Shafirovich,et al.  Combustion of Magnesium Particles in CO2/CO Mixtures , 1992 .

[23]  James Gao,et al.  An overview of manufacturing knowledge sharing in the product development process , 2018 .

[24]  Thierry Denoeux,et al.  Inferring a possibility distribution from empirical data , 2006, Fuzzy Sets Syst..

[25]  Yoram Reich,et al.  A critical review of General Design Theory , 1995 .

[26]  A. M. M. Sharif Ullah,et al.  A human-assisted knowledge extraction method for machining operations , 2006, Adv. Eng. Informatics.

[27]  Priit Reiska,et al.  Uncovering Types of Knowledge in Concept Maps , 2019, Education Sciences.

[28]  A M M Sharif Ullah,et al.  Fuzzy Monte Carlo Simulation using point-cloud-based probability–possibility transformation , 2013, Simul..

[29]  Lotfi A. Zadeh,et al.  Some reflections on information granulation and its centrality in granular computing, computing with words, the computational theory of perceptions and precisiated natural language , 2002 .

[30]  Murray Sinclair,et al.  The identification of knowledge gaps in the technologies of cyber-physical systems with recommendations for closing these gaps , 2019, Syst. Eng..

[31]  I. Kant,et al.  Critique of Pure Reason: Remark to the amphiboly of concepts of reflection , 1998 .

[32]  Eberhard Abele,et al.  Learning factories for future oriented research and education in manufacturing , 2017 .

[33]  A. M. M. Sharif Ullah,et al.  Integrating CAD, TRIZ, and Customer Needs , 2016, Int. J. Autom. Technol..

[34]  J. Greco.  Virtues and Vices of Virtue Epistemology , 1993, Canadian Journal of Philosophy.

[35]  James Gao,et al.  Integrating Manufacturing Knowledge with Design Process to Improve Quality in the Aerospace Industry , 2019 .

[36]  Nobuyuki Arai,et al.  DNA based computing for understanding complex shapes , 2014, Biosyst..

[37]  Marine Agogué,et al.  10 Years of C–K Theory: A Survey on the Academic and Industrial Impacts of a Design Theory , 2014 .

[38]  Anealka Aziz Hussin.  Education 4.0 Made Simple: Ideas for Teaching. , 2018 .

[39]  Fazel Ansari,et al.  Knowledge Management 4.0: Theoretical and Practical Considerations in Cyber Physical Production Systems , 2019, IFAC-PapersOnLine.

[40]  A. M. M. Sharif Ullah,et al.  Logical interaction between domain knowledge and human cognition in design , 2008, Int. J. Manuf. Technol. Manag..

[41]  Amm Sharif Ullah,et al.  On the interplay of manufacturing engineering education and e-learning , 2016 .

[42]  Khamdi Mubarok,et al.  Smart manufacturing systems for Industry 4.0: Conceptual framework, scenarios, and future perspectives , 2018, Frontiers of Mechanical Engineering.

[43]  B. Russell.  V.—Knowledge by Acquaintance and Knowledge by Description , 1911 .

[44]  Dov Dori,et al.  Minding the Cyber-Physical Gap: Model-Based Analysis and Mitigation of Systemic Perception-Induced Failure , 2017, Sensors.

[45]  C. Hempel.  Maximal Specificity and Lawlikeness in Probabilistic Explanation , 1968, Philosophy of Science.

[46]  Olivier L. de Weck.  Systems engineering 20th anniversary special issue , 2018, Syst. Eng..

[47]  Robert N. Carson.  A Taxonomy of Knowledge Types for Use in Curriculum Design , 2004 .

[48]  Adam Fadlalla,et al.  The Knowledge Spectrum , 2012, Int. J. Knowl. Manag..

[49]  A. M. M. Sharif Ullah,et al.  Modeling and simulation of complex manufacturing phenomena using sensor signals from the perspective of Industry 4.0 , 2019, Adv. Eng. Informatics.

[50]  Xiaoping Ye,et al.  Model verification for system design of complex mechatronic products , 2018, Syst. Eng..

[51]  AMM Sharif Ullah,et al.  Fundamental Issues of Concept Mapping Relevant to Discipline-Based Education: A Perspective of Manufacturing Engineering , 2019, Education Sciences.

[52]  David Maxwell Chickering,et al.  Learning Bayesian networks: The combination of knowledge and statistical data , 1995, Mach. Learn..

[53]  Amm Sharif Ullah.  Machining Forces Due to Turning of Bimetallic Objects Made of Aluminum, Titanium, Cast Iron, and Mild/Stainless Steel , 2018, Journal of Manufacturing and Materials Processing.

[54]  Hideaki Takeda,et al.  Abduction for Creative Design , 2003, Volume 3b: 15th International Conference on Design Theory and Methodology.

[55]  Ikujiro Nonaka,et al.  Dynamic fractal organizations for promoting knowledge-based transformation – A new paradigm for organizational theory , 2014 .

[56]  R. Fumerton.  Speckled Hens and Objects of Acquaintance , 2005 .

[57]  Tobias Meisen,et al.  Recommending Semantic Concepts for Improving the Process of Semantic Modeling , 2018, ICEIS.

[58]  Haklae Kim,et al.  Towards a sales assistant using a product knowledge graph , 2017, J. Web Semant..

[59]  Erwin Rauch,et al.  Anthropocentric perspective of production before and within Industry 4.0 , 2020, Comput. Ind. Eng..

[60]  Douglas W. Shrader.  Causation, Explanation, and Statistical Relevance , 1977, Philosophy of Science.

[61]  Edmund L. Gettier.  Is Justified True Belief Knowledge? , 1963, Arguing About Knowledge.

[62]  Paul Veerkamp,et al.  Modeling design processes , 1990 .