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Artificial Intelligence Support for Smart Logistics Systems in Industrial Environments
Technical Paper
2022-01-0347
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
This paper investigates new roles of stakeholders in the context of the migration of circular value creation based on a collaborative model of logistic systems in an industrial environment. The evolving nature of supply networks and the underlying information systems as well as advances in technology drive the application of artificial intelligence (AI) in this context. The paper thus aims to harmonize and optimize the combination of classical methods with those of AI in hybrid planning and development systems.
For this purpose, the connection of the design of the roles with the logistic processes in terms of a unified modeling is established. The design of the roles enables the generation of smart solutions in logistics. Aspects of data acquisition, data preparation, data storage, data analysis and data quality are considered to make qualified statements on the maturity level of AI support for logistics systems. The influence of collaboration and circular value creation on the interaction of AI and smart logistics systems in industry is investigated.
In a systematic approach, based on the challenges for such smart systems, the tasks of smart logistics systems are derived, and evaluation approaches are presented. The paper thus contributes to the academic debate on approaches towards smart logistics as possibilities for the targeted use of AI methods and tools will be elaborated. For the use of the developed approaches, corresponding models and their applications in the industrial environment are selected and prepared as case examples for planning, development, and realization. Based on a complex model of logistic processes of smart systems, the preferred starting points for support by AI are shown.
Authors
- Christian-Andreas Schumann - West Saxon University of Applied Sciences of Zwickau
- Ralph Riedel - West Saxon University of Applied Sciences of Zwickau
- Susanne Franke - West Saxon University of Applied Sciences of Zwickau
- Anna-Maria Nitsche - West Saxon University of Applied Sciences of Zwickau
- Chantal Runte - West Saxon University of Applied Sciences of Zwickau
Topic
Citation
Schumann, C., Riedel, R., Franke, S., Nitsche, A. et al., "Artificial Intelligence Support for Smart Logistics Systems in Industrial Environments," SAE Technical Paper 2022-01-0347, 2022, https://doi.org/10.4271/2022-01-0347.Also In
References
- Krowas , K. and Riedel , R. Planning Guideline and Maturity Model for Intra-logistics 4.0 in SME Ameri , F. , Stecke , K.E. , von Cieminski , G. and Kiritsis , D. Advances in Production Management Systems - Towards Smart Production Management Systems Cham Springer 2019 331 338
- Lee , E.A. Cyber Physical Systems: Design Challenges 11th IEEE International Symposium on Object/Component/ Service-Oriented Real-Time Distributed Computing (ISORC) Orlando 2008
- Geisberger , E. and Broy , M. Agenda CPS, Integrierte Forschungsagenda Cyber-Physical Systems München acatech 2012
- Veigt , M. , Lappe , D. , Hribernik , K. , and Scholz-Reiter , B. Entwicklung eines Cyber-Physischen Logistiksystems Industrie Management 29 1 2013 15 18
- Roy , D.T. Industrie 4.0 - Gestaltung Cyber-physischer Logistiksysteme zur Unterstützung des Logistikmanagements in der Smart Factory Berlin Universitätsverlag TU 2017
- Mora , M. , Forgionne , G. , Cervantes-Pérez , F. , Garrido , L. et al. Toward a Comprehensive Framework for the Design and Evaluation of Intelligent Decision-making Support Systems (i-DMSS) Journal of Decision Systems 14 2005 321 344
- Bendul , J. and Zahner , M. The Influence of Cognitive Biases in Production Planning and Control: Considering the Human Factor for the Design of Decision Support Systems Human 4.0: from Biology to Cybernetic IntechOpen 2019
- Simon , H.A. , Dantzing , G. , Hogart , R. , Plott , C. et al. Decision Making and Problem Solving Interfaces 17 1987 11 31
- Riedel , R. , Starker , U. , and Von der Weth , R. A Multidisciplinary Model of Problem Solving in Complex Production Systems Grabot , B. , Vallespir , B. , Gomes , S. , Bouras , A. et al. Advances in Production Management Systems: Innovative and Knowledge-Based Production Management in a Global-Local World Heidelberg Springer 2014 387 394
- Arnott , D. Cognitive Biases and Decision Support Systems Development: A Design Science Approach Information Systems Journal 16 1 2006 55 78
- Bradshaw , J. , Dignum , V. , Jonker , C. , and Sierhuis , M. Human-Agent-Robot Teamwork Intelligent Systems, IEEE 27 2 2012
- Tombeil , A. ; Ganz , W. ; Kremer , D. 2020 Arbeit und künstliche Intelligenz in Wissensintensiven Dienstleistungen Digitale Transformation. Arbeit in Dienstleistungssystemen Ernst , G. , Zühlke-Robinet , K. , Finking , G. , Bach , U. Baden-Baden Nomos
- Kohl , A.-K. and Pfretzschner , F. Logistikmonitor 2018: Der Wirtschaftszweig in Zahlen Bremen Bundesvereinigung Logistik 2018
- Kersten , W. , Seiter , M. , von See , B. , Hackius , N. et al. Trends and Strategies in Logistics and Supply Chain Management - Digital Transformation Opportunities DVV Media Group GmbH 2017 978-3-87154-608-2
- Kersten , W. , von See , B.S.L. , and Grotemeier , C. Trends und Strategien in Logistik und Supply Chain Management - Entwicklungen Und Perspektiveneiner Nachhaltigen Und Digitalen Transformation BVL Digital 2020
- Zanker , C. Branchenanalyse Logistik: Der Logistiksektor zwischen Globalisierung, Industrie 4.0 und Online-Handel Düsseldorf Hans Böckler Stiftung 2018
- Backhaus , A. , Grotemeier , C. , Jacobi , C. , Kille , C. , Lehmacher , W. , Meißner , M. , Stiehm , S. 2020 Logistik 2020: Struktur- und Wertewandel als Herausforderung
- Junge , A.L. , Verhoeven , P. , Reipert , J. , and Mansfeld , M. 2019 Pathway of Digital Transformation Logistics: Best Practice Concepts and Future Developments Straube , F. Berlin Universitätsverlag TU Berlin
- Cao , M. , Vonderembse , M.A. , Zhang , Q. , and Ragu-Nathan , T.S. Supply Chain Collaboration: Conceptualisation and Instrument Development International Journal of Production Research 48 22 2010 6613 6635 10.1080/00207540903349039
- Glöckner , M. Foundational Research Artifacts of Cloud Logistics: Development of Selected Artifacts for Virtualizing, Categorizing and Encapsulating Resources and Services of Logistics within Reusable Modules Leipzig Wirtschaftswissenschaftlichen Fakultät der Universität Leipzig 2019
- Gesing , B. Sharing Economy Logistics: Rethinking Logistics with Access Over Ownership Troisdorf DHL Trend Research 2017
- Cao , M. and Zhang , Q. Supply Chain Collaboration: Roles of Interorganizational Systems, Trust, and Collaborative Culture London Springer-Verlag London 2013
- Schönberg , T. , Wunder , T. , and Huster , S.W. Urban Logistics 2030 in Germany: Stronger Together: Keep the Wild West Scenario at Bay with Cooperation 2018
- Soosay , C.A. and Hyland , P. A Decade of Supply Chain Collaboration and Directions for Future Research Supply Chain Management: An International Journal 20 6 2015 613 630 10.1108/scm-06-2015-0217
- Richey , R.G. , Adams , F.G. , and Dalela , V. Technology and Flexibility: Enablers of Collaboration and Time-based Logistics Quality Journal of Business Logistics 33 1 2012 34 49
- Barratt , M. Understanding the Meaning of Collaboration in the Supply Chain Supply Chain Management: An International Journal 9 1 2004 30 42 10.1108/13598540410517566
- Chollet , F. Deep Learning with Python Manning Publications 2017
- Bishop , C.M. Pattern Recognition and Machine Learning Springer 2007
- Sutton , R.S. and Barto , A.G. Reinforcement Learning. An Introduction Bradford Books 1998
- Buchmeister , B. , Palcic , I. , and Ojstersek , R. Artificial Intelligence in Manufacturing Companies and Broader: An Overview Katalinic , B. DAAAM International Scientific Book 2019 81 98
- Jaensch , F. , Csiszar , A. , Kienzlen , A. , and Verl , A. Reinforcement Learning of Material Flow Control Logic Using Hardware-in-the-Loop Simulation First International Conference on Artificial Intelligence for Industries 2018 77 80
- Kuhnle , A. , Jakubik , J. , and Lanza , G. Reinforcement Learning for Opportunistic Maintenance Optimization Production Engineering 1 2018 33 41
- Krüger , J. , Lehr , J. , Schlüter , M. , and Bischoff , N. Deep Learning for Part Identification Based on Inherent Features CIRP Annals - Manufacturing Technology 68 2019 https://doi.org/10.1016/j.cirp.2019.04.09
- Kettner , H. , Schmidt , J. , and Greim , H.-R. Leitfaden Der Systematischen Fabrikplanung Wien Carl Hanser. Verlag, München 1984 157 174
- Vester , F. Unsere Welt - ein vernetztes System Klett-Cotta Stuttgart 1978 10 3129897208
- Stellwag , B. Factory Planning - The Creation and Evaluation of Material Flow-oriented Layouts Master Degree Project in Production Engineering and Management Stockholm KTH Royal Institute of Technology 2017 52 88
- Schuster , E.W. et al. The Future of Connective Technology: Greater Integration through Semantic Modeling Report Prepared for the Business Intelligence Group of Cutter International Cambridge Massachusetts Institute of Technology 2015 20 28
- Li , W. , Badr , Y. , Biennier , F. Digital Ecosystems: Challenges and Prospects MEDES '12 International Conference on Management of Emergent Digital EcoSystems Addis Ababa 117 122 2012
- Knörrer , D. , Mosen , M.W. , Moormann , J. , and Schmidt , D. Digitale Ökosysteme Frankfurt am Main Frankfurt School 2021
- Kawa , A. SMART Logistics Chain Pan , J.S. , Chen , S.M. and Nguyen , N.T. Intelligent Information and Database Systems. ACIIDS 2012. Lecture Notes in Computer Science 7196 Berlin, Heidelberg Springer 2012 432 438 https://doi.org/10.1007/978-3-642-28487-8_45
- Engelhardt , V. , Sebastian , K. , Wilhelmine , L. , Tilman , R.H. et al. Smart Service Welt, Innovationsbericht 2017 - Eine Studie im Rahmen der Begleitforschung zum Technologieprogramm Smart Service Welt Bundesministerium für Wirtschaft und Energie 2017
- Forkel , E. , Baum , J. , Schumann , C.-A. , and Mueller , E. Smart Interoperable Logistics and Additive Manufacturing - Modern Technologies for Digital Transformation and Industry 4.0 SAE Technical Paper 2018-01-1203 2018 https://doi.org/10.4271/2018-01-1203.
- Harmon , R.R. , Corno , F. , and Castro-Leon , E.G. 14 17 2015 10.1109/MITP.2015.115
- Schumann , et al. 1995 Knowledge-Based Maintenance Systems in Automotive Plants Soliman , J.I. Lean/Agile Manufacturing in the Automotive Industries. Proceedings for the Dedicated Conference of ISATA 28th International Symposium on Automotive Technology and Automation Stuttgart 121 128
- Schumann , C. , Forkel , E. , Klein , T. , Gerlach , D. et al. 2015 Process-Integrated Measurements of Products and Parts - Innovation Management for Applied Photography and Photogrammetry SAE Technical Paper 2015-01-0464 2015 https://doi.org/10.4271/2015-01-0464.
- Schumann , C. , Forkel , E. Klein , T. , Otto , F. , and Tittmann , C. Impact of Digital Transformation on Interoperability of Logistic Systems in SME British Academy of Management: Thriving in Turbulent Times Newcastle 26 2016 978-0-9549608-9-6
- Weller , A. Transparency: Motivations and Challenges Samek , W. , Montavon , G. , Vedaldi , A. , Hansen , L.K. et al. Explainable AI 11700 Cham Springer 2019 23 40
- Searle , J.R. Minds, Brains and Programs Behavioral and Brain Sciences 3 1980 417 457