Abstract
Biomimetics is an established field in research and industry. Current approaches focus on the use of biological principles in product development, while large potentials have also been identified for transferring organisational principles from nature to production organisation. This study gives a comprehensive overview of existing literature and illustrates that only fragmented research is being conducted at present. In order to enable systematic translation into methods that are available to practitioners, a framework is developed which allows the body of literature to be structured and potential fields not being researched at present to be identified. It also points out that some biological principles receive more attention in research approaches and practical implementation in production organisation than others. Furthermore, correlations between biological principles and principles in production are identified that there have already been successful translations of biomimetic approaches to production organisation. On the other hand, it suggests that there are numerous promising approaches only described in an initial paper that need further research before they can be implemented in practice.
Similar content being viewed by others
References
Bhushan B. Biomimetics: Lessons from nature-an overview. Philosophical Transactions of the Royal Society A, 2009, 367, 1445–1486.
Nosonovskiĭ M, Bhushan B. Multiscale Dissipative Mechanisms and Hierarchical Surfaces Friction, Superhydrophobicity, and Biomimetics, Springer, Berlin, Germany, 2008.
Bar-Cohen Y. Biomimetics: Nature Based Innovation, CRC press, Boca Raton, USA, 2011.
Wilkes M, Stange K. Gnadenlose Erfolgskette: 7 Strategie-Glieder Fuer Exzellente Marktkraft, stetiges Wachstum, nachhaltigen Gewinn, Linde, Wien, Austria, 2008. (in German)
Schatten M, Žugaj M. Biomimetics in modern organizations — laws or metaphors? Interdisciplinary Description of Complex Systems, 2011, 9, 39–55.
Vincent J F. Biomimetics — a review. Proceedings of the Institution of Mechanical Engineers, Part H. Journal of Engineering in Medicine, 2009, 223, 919–939.
Harkness J M. A lifetime of connections: Otto Herbert Schmitt, 1913–1998. Physics in Perspective, 2002, 4, 456–490.
von Gleich A, Pade C, Petschow U, Pissarskoi E. Potentials and Trends in Biomimetics, Springer, Berlin, Germany, 2010.
Stokholm M D J. Bionics. Architecture, Aalborg, Denmark, 2005.
Bar-Cohen Y. Biomimetics: Biologically Inspired Technologies, CRC press, Boca Raton, USA, 2006.
Vincent J F, Bogatyreva O A, Bogatyrev N R, Bowyer A, Pahl A K. Biomimetics: Its practice and theory. Journal of the Royal Society Interface, 2006, 3, 471–482.
Ferdinand J P, Petschow U, von Gleich A, Seipold P. Literaturstudie Bionik: Analyse aktueller Entwicklungen und Tendenzen im Bereich der Wirtschaftsbionik. Institut für Oekologische Wirtschaftsforschung, Berlin, Germany, 2012. (in German)
Nachtigall W. Bionik: Grundlagen und Beispiele Fuer Ingenieure und Naturwissenschaftler, Springer, Berlin, Germany, 2002. (in German)
Neumann D. Bionik — technologieanalyse. In: Neumann D, ed., VDI — Technologiezentrum Physikalische Technologien, Düsseldorf, Germany, 1993. (in German)
Rick K. Economy and Bionics, [2012-05-01], http://www.up.com.br
Stachelberger H, Gruber P, Gebeshuber I C. Biomimetics: Its technological and societal potential. In: Gruber P, ed., Biomimetics — Materials, Structures and Processes: Examples, Ideas, and Case Studies, Springer, Heidelberg, Germany, 2011.
Walter L, Isenmann R, Moehrle M G. Bionics in patents — semantic-based analysis for the exploitation of bionic principles in patents. Procedia Engineering, 2011, 9, 620–632
Eversheim W. Innovation Management for Technical Products Systematic and Integrated Product Development and Production Planning, Springer, Berlin, Germany, 2008.
Panneerselvam R. Production and Operations Management, PHI Learning, New Delhi, India, 2012.
Dekkers R. Collaborations in Industrial Networks: The Co-Evolutionary Perspective Dispersed Manufacturing Networks: Challenges for Research and Practice, Springer, Dordrecht, Netherlands, 2009.
Kletti J. Manufacturing Execution Systems, Springer, Berlin, Germany, 2007.
Misra K B. Handbook of Performability Engineering, Springer, London, UK, 2008.
Küppers U. Systemisches bionik-management. Wissenschaftsmanagement, 2010, 1, 37–42. (in German)
Malik F. Systemisches Management, Evolution, Selbstorganisation, Haupt, Bern, Switzerland, 1999. (in German)
Camazine S, Deneubourg J L, Franks N R, Sneyd J, Theraulaz G, Bonabeau E. Self-organization in Biological Systems, Princeton University Press, Princeton, USA, 2003.
Wiener N, Schade J P. Nerve, Brain and Memory Models, Elsevier, Amsterdam, Netherlands, 1963.
Beer S. Cybernetics and Management, Wiley, New York, USA, 1959.
Schwaninger M. The Evolution of Organizational Cybernetics. Scientiae Mathematicae Japonicae, 2006, 64, 405–420.
Kampker A, Schuh G. Strategie und Management Produzierender Unternehmen, Springer, Berlin, Germany, 2011. (in German)
Herrmann C, Bergmann L, Halubek P, Thiede S. Lean production system design from the perspective of the viable system. In: Mitsuishi M, Ueda K, Kimura F, eds., Model Manufacturing Systems and Technologies for the New Frontier, Springer, London, UK, 2008, 309–314.
Herrmann C, Thiede S, Stehr J, Bergmann L. An environmental perspective on lean production. In: Mitsuishi M, Ueda K, Kimura F, eds., Model Manufacturing Systems and Technologies for the New Frontier, Springer, London, UK, 2008, 83–88.
Okino N. Bionic manufacturing systems: Modelon based approach. Proceedings of the CAM-I 18th Annual International Conference. Computer Aided Manufacturing- International Inc, New Orleans, USA, 1989, 485–492.
Okino N. A prototyping of bionic manufacturing system. Proceedings of the International Conference on Object-oriented Manufacturing Systems, Calgary, Canada, 1992, 297–302.
Okino N. Bionic Manufacturing system. In: Peklenik J, ed., Flexible Manufacturing Systems. Past, Present, Future, SVN, Ljubljana, Slovenia, 1993, 73–95.
Ueda K, Vaario J, Ohkura K. Modelling of biological manufacturing systems for dynamic reconfiguration. CIRP Annals - Manufacturing Technology, 1997, 46, 343–346.
Ueda K, Hatono I, Fuji N, Vaario J. Reinforcement learning approaches to biological manufacturing systems. CIRP Annals - Manufacturing Technology, 2000, 49, 343–346.
Ueda K, Hatono I, Fuji N, Vaario J. Line-less production system using self-organization: A case study for BMS. CIRP Annals - Manufacturing Technology, 2001, 50, 319–322.
Ueda K, Fuji N, Hatono I, Kobayashi M. Facility layout planning using self-organization method. CIRP Annals — Manufacturing Technology, 2002, 51, 399–402.
Mella P. The holonic perspective in management and manufacturing. International Management Review, 2009, 5, 19–30.
Gu W, Tang D, Zheng K, Wang L A neuroendocrine- inspired bionic manufacturing system. Journal of Systems Science and Systems Engineering, 2011, 20, 275–293.
Mill F, Sherlock A. Biological analogies in manufacturing. Computers in Industry, 2000, 43, 153–160.
Demeester L, Eichler K, Loch C. Organic production systems: What the biological cell can teach us about manufacturing. Manufacturing & Service Operations Management, 2004, 6, 115–132.
Holland J H. Adaption in Natural and Artificial Systems, University of Michigan Press, Cambridge, UK, 1975.
Lawler E L, Lenstra J K, Kan A R, Shmoys D B. The Traveling Salesman Problem: A Guided Tour of Combinatorial Optimization, Wiley, Chichester, UK, 1985.
Błażewicz J, Domschke W, Pesch E. The job shop scheduling problem: Conventional and new solution techniques. European Journal of Operational Research, 1996, 93, 1–33.
Yang J, Sun L, Lee H, Qian Y, Liang Y. Clonal selection based memetic algorithm for job shop scheduling problems. Journal of Bionic Engineering, 2008, 5, 111–119.
Davis L. Job shop scheduling with genetic algorithms. Proceedings of the 1st International Conference on Genetic Algorithms and their Applications, Lawrence Erlbaum Associates, Hillsdale, USA, 1985, 136–140.
Yamada T, Nakano R. Genetic algorithms for job-shop scheduling problems. Proceedings of Modern Heuristic for Decision Support, London, UK, 1997, 67–81.
Goncalves J F. A hybrid genetic algorithm for the job shop scheduling problem. European Journal of Operational Research, 2005, 167, 77–95.
Rechenberg I. Evolutionsstrategie: Optimierung Technischer Systeme Nach Prinzipien Der biologischen Evolution, Frommann-Holzboog, Stuttgart, Germany, 1973. (in German)
Schwefel H P. Numerical Optimization for Computer Models, Wiley, Chichester, UK, 1981.
Koza J R. Genetic Programming: On the Programming of Computers by Means of Natural Selection, MIT Press, Cambridge, UK, 1992.
Fogel L J, Owens A J, Walsh M J. Artificial Intelligence through Simulated Evolution, Wiley, New York, USA, 1966.
Tay J C, Ho N B. Evolving dispatching rules using genetic programming for solving multi-objective flexible job-shop problems. Computers & Industrial Engineering, 2008, 54, 453–473.
Steinbuch R. Successful application of evolutionary algorithms in engineering design. Journal of Bionic Engineering, 2010, 7, 199–211
Tero A, Kobayashi R, Nakagaki T. A mathematical model for adaptive transport network in path finding by true slime mold. Journal of Theoretical Biology, 2007, 244, 553–564.
Monismith D, Mayfield B. Slime mold as a model for numerical optimization. 2008 IEEE Swarm Intelligence Symposium, St. Louis, USA, 2008, 1–8.
Tero A, Takagi S, Saisuga T, Ito K, Bebber D P, Fricker M D, Yumiki K, Kobayashi R, Nakagaki T. Rules for biologically inspired adaptive network design. Science, 2010, 327, 439–442.
Nawa E, Fururashi T. Fuzzy system parameters discovery by bacterial evolutionary algorithm. IEEE Transactions on Fuzzy Systems, 1999, 7, 608–616.
Kennedy J, Eberhart R. Particle swarm optimization. Proceedings of IEEE International Conference on Neural Networks IV, Perth, Australia, 1995, 1942–1948.
Poli R. An Analysis of Publications on Particle Swarm Optimisation Applications, Technical Report, University of Essex, UK, 2007.
Colorni A, Dorigo M, Maniezzo V. Distributed optimization by ant colonies. Proceedings of ECAL91 — European Conference on Artificial Life, Elsevier, Amsterdam, Netherlands, 1991, 134–142.
Grassé P P. La reconstruction du nid et les coordinations inter-individuelles chez Bellicositermes natalensis et Cubitermes sp. La théorie de la stigmergie: Essai d’interprétation du comportement des Termites constructeurs. Insectes Sociaux, 1959, 6, 41–83. (in French)
Kennedy J, Eberhart R C, Shi Y. Swarm Intelligence, Morgan Kaufmann, San Francisco, USA, 2001.
Engelbrecht A P. Fundamentals of Computational Swarm Intelligence, Wiley, Hoboken, USA, 2005.
Marsh L, Onof C. Stigmergic epistemology, stigmergic cognition. Cognitive Systems Research, 2008, 9, 136–149.
Dorigo M, Birattari M, Stutzle T. Ant colony optimization. IEEE Computational Intelligence Magazine, 2006, 1, 28–39.
Dorigo M, Maniezzo V, Colorni A. Ant system: Optimization by a colony of cooperating agents. IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics, 1996, 26, 29–41.
Colorni A, Dorigo M, Maniezzo V, Trubian M. Ant system for job-shop scheduling. Belgian Journal of Operations Research, Statistics and Computer Science, 1994, 34, 39–53.
Vogel A, Fischer M, Jähn H, Teich T. Real-world shop floor scheduling by ant colony optimization. Proceedings of the 3rd International Workshop on Ant algorithms, Brussels, Belgium, 2002, 268–273.
Karaboga D, Akay B. A survey: Algorithms simulating bee swarm intelligence. Artificial Intelligence Review, 2009, 31, 61–85.
Lučić P, Teodorović D. Bee system: Modeling combinatorial optimization transportation engineering problems by swarm intelligence. Preprints of the TRISTAN IV Triennial Symposium on Transportation Analysis, Sao Miguel, Portugal, 2001, 441–445.
Teodorovic D, Dell M. Bee colony optimization — a cooperative learning approach to complex transportation problems. Advanced OR and AI methods in transportation — Proceedings of 16th Mini-EURO Conference and 10th Meeting of EWGT, Poznan, Poland, 2005, 51–60.
Chong C, Hean Low M, Sivakumar A, Gay K. A bee colony optimization algorithm to job shop scheduling. Proceedings of the 2006 Winter Simulation Conference, IEEE, Monterey, USA, 2006, 1954–1961.
Abbass H A. MBO: Marriage in honey bees optimization — a haplometrosis polygynous swarming approach. Proceedings of the 2001 IEEE Congress on Evolutionary Computation, IEEE, Seoul, Korea, 2001, 1, 207–214.
Chang H S. Converging marriage in honey-bees optimization and application to stochastic dynamic programming. Journal of Global Optimization, 2006, 35, 423–441.
Yang X S. A new metaheuristic bat-inspired algorithm. Studies in Computational Intelligence, 2010, 284, 65–74.
Ruiz-Vanoye J A. Meta-heuristics algorithms based on the grouping of animals by social behavior for the traveling salesman problem. International Journal of Combinatorial Optimization Problems and Informatics, 2012, 3, 104–123.
Wilson J O. A Systematic Approach to Bio-inspired Conceptual Design, PhD thesis, Georgia Institute of Technology, Atlanta, USA, 2008.
Shu L. A natural-language approach to biomimetic design. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 2010, 24, 507–519.
Kesel A B. Sind Prozesse aus der Natur auf Wirtschaftsprozesse übertragbar? Darwin meets Busines, Wiesbaden, Germany, 2010, 81–86. (in German)
Speck T, Speck O. Process sequences in biomimetic research. In: Brebbia C A, ed., Design and Nature IV, WIT Press, Southampton, UK, 2008, 3–11.
Campbell N A, Reece J B. Biology, Pearson, Boston, USA, 2008.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Reisen, K., Teschemacher, U., Niehues, M. et al. Biomimetics in production organization — A literature study and framework. J Bionic Eng 13, 200–212 (2016). https://doi.org/10.1016/S1672-6529(16)60294-9
Published:
Issue Date:
DOI: https://doi.org/10.1016/S1672-6529(16)60294-9