Integration of New Business Models in Smart Logistics Zones

Document Type: GOL20

Authors

1 Otto von Guericke University, Institute of Logistics and Material Handling Systems, Magdeburg, Germany

2 University of Applied Science Magdeburg-Stendal, Stendal, Germany

3 Fraunhofer Institute for Factory Operation and Automation IFF, Magdeburg, Germany

10.22034/ijsom.2021.109063.2160

Abstract

This paper is dedicated to the core challenge of sustainably integrating new and viable business models into logistics systems in the context of the digital transformation. On the one hand, enterprises are facing increased competitive pressure and growth gaps in their own product portfolio; on the other hand, new technology and system solutions are finding their way into enterprises. These new solutions lead to significant changes in the cost structure as well as in the process design. Especially in increasingly digitalised and automated economic sectors such as logistics, production or processing industries, the adaptation and development of the own business model requires a systematic approach that presupposes the use and integration of proven methods. In the context of designing Smart Logistics Zones the interaction of logistical objects, processes, systems and the physical and digital infrastructure is achieved in a goal-oriented manner, depending on the requierements and the situation. An interactive design of the future of human-technology organization takes places. The procedure of the Smart Logistics Zone should support entrepreneurial decision processes purposefully and on the core idea of an Industrie 4.0 in preliminary way. In addition to the inte-grative research concept, this paper focuses on the application of the methodological approach to a reference scenar-io of the Smart Logistics Zone and an exemplary business model.

Keywords


Aceto G., Persico V. and Pescápe A. (2019). A Survey on Information and Communication Technologies for Industry 4.0: State-of-the-Art, Taxonomies, Perspectives, and Challenges. IEEE Communications Surveys & Tutorials. Vol. 21(4), pp. 3467-3501.

Anderl R., Bauer K., Diegner B. et al. (2016). Industrie 4.0 Aspekte der Forschungsroadmap in den Anwendungsszenarien. Ergebnispapier AG Forschung & Innovation (Platform Industrie 4.0), Berlin: Bundesministerium für Wirtschaft  und Energie (BMWi).

Anderson C. (2009). Free – The Future of a Radical Price. London, Random House Business.

Arnold, D., Isermann, H., Kuhn, A., Tempelmeier, H., Furmans, K. (2008). Handbuch Logistik. 3., neu bearb. Aufl. Berlin: Springer (VDI-Buch), pp. 3-4

Bal A. and Badurdeen F. (2019). A Business Model to Implement Closed-loop Material Flow in IoT-anabled Eviroments. 29th International Conference on Flexible Automation and Intelligent Manufacturing. pp. 1284-1291.

Bärschneider T. (2018). Purpose Economy: Wofür steht Ihr Unternehmen?, Springer Professional. Online: https://www.springerprofessional.de/markenfuehrung/marketingstrategie/purpose-economy--wofuer-steht-ihr-unternehmen--/16300500 (last access date 04.04.2021)

Busch C., Demary V., Engels B., Haucap J., Kehder C., Loebert I. and Rusche C. (2018). Sharing Economy im Wirtschaftsraum Deutschland: Analyse des Stellenwerts im Allgemeinen sowie Untersuchung der Handlungsoptionen im Einzelsegment ╩╗Vermittlungsdienste für Privatunterkünfte‘. Studie des Instituts der deutschen Wirtschaft Köln in Zusammenarbeit mit DICE Consult. Bundesministerium für Wirtschaft und Energie (BMWi).

Cimini C., Pinto R., Pezzotta G. Gaiardelli, P. (2017). The Transition towards Industry 4.0: Business Opportunities and Expected Impacts for Suppliers and Manufacturers. Advances in Production Management Systems. Part I, IFIP AICT, Vol 513, pp. 119-126.

Coldewey J. (2015). Skalierung – Agilität in Größen. Agile Führung - Vom agilen Projekt zum agilen Unternehmen. Symposion Agiles Management. pp. 135-148.

Cornelis de Man J. and Strandhagen J. O. (2017). An Industry 4.0 research agenda for sustainable business models. 50th CIRP Conference on Manufacturing Systems. pp. 721-726.

Corsten H., Gössinger R. and Spengler T. S. (2018). Handbuch Produktions- und Logistikmanagement in Wertschöpfungsnetzwerken. De Gruyter. pp. 67-69.

Delsing J. (2017). Local Cloud Internet of Things Automation. Technology and Business Model Features of Distributed Internet of Things Automation Solutions, IEEE Industrial Electronics Magazine, pp. 8-21.

Denyer D. and Tranfield D. (2009). Producing a systematic review. In: Buchanan D. A. and Bryman A. (eds): The Sage handbook of organizational research methods. Thousand Oaks, CA, Sage Publications Ltd., pp. 671-689.

DIN 8580:2003-09 (2013). Manufacturing processes - Terms and definitions, division.

Dombrowski U. and Dix Y. (2018). An Analysis of the Impact of Industrie 4.0 on Production Planning and Control. APMS, IFIP, pp. 114-121.

Doran G. T. (1981). There’s a S.M.A.R.T. way to write management’s goals and objectives. Management Review, Vol. 70(11), pp. 35-36.

Ebi M., Hille M., Doelle C., Riesener M. and Schuh G. (2019). Methodology for the risk and reward evaluation of industrial subscription models, Production at the leading edge of technology, pp. 613-622, Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-60417-5_61

 

Fischertechnik GmbH (2016). Didactic material Factory Simulation 9V English. Online: https://www.fischertechnik.de/-/media/fischertechnik/fite/service/elearning/simulieren/doku-9v/en/536629-fabrik_simulation_9v_en.ashx (last access date 09.04.2021)

Freitas I.C.H. de, Rocha Loures E., Deschamps F. and Cestari F. (2019). Enterprise Architecture Requirements for Digital Transformation Projects in an Automotive Industry. Proceedings on 25th International Joint Conference on Industrial Engineering and Operations Management – IJCIEOM. IJCIEOM, pp. 293-301.

Fogliatto F. S., Silveira G. J. C. da and Borenstein D. (2012). The mass customization decade: An updated review of the literature. International Journal of Production Economics. 138(1), pp. 14-25.

Gassmann O., Frankenberger K. and Csik M. (2013). Geschäftsmodelle entwickeln: 55 innovative Konzepte mit dem St. Galler Business Model Navigator. The Business Model Navigator: 55 Models That Will Revolutionise Your Business. Hanser Verlag.

Gausemeier J. and Plass C. (2014). Zukunftsorientierte Unternehmensgestaltung. Strategien, Geschäftsprozesse und IT-Systeme für die Produktion von morgen. Hanser Verlag, München, pp. 129-132.

Greschke P. (2016). Matrix-Produktion als Konzept einer taktunabhängigen Fließfertigung, TU Braunschweig.

Gronau and Theuer N. (2011). Potenziale autonomer Technologien in Produktion und Logistik. In: Siepermann. C. and Eley M. (eds): Logistik gestern, heute, morgen. Berlin: GITO Verlag, pp. 270-272.

Günthner, W., Klen, E., Tenerowicz-Wirth, P. (2014). Adaptive Logistiksystem als Wegbereiter der Industrie 4.0. In: Industrie 4.0 in Produktion, Automatisierung und Logistik. Anwendung, Technologien, Migration. Wiesbaden: Springer Vieweg, pp. 297–323.

Helmke B. (2019). Digitalisierung der Logistik, in Projektmanagement. Logistik und Supply Chain Management, Wiesbaden. Springer Gabler, p. 183.

Henke, M., Heller, T., Stich, V. (2020). Smart Maintenance – Der Weg vom Status quo zur Zielversion. Acatech Studie, ISBN 978-3-8316-4726-2.

Ibarra D., Igartua J.I. and Ganzarain J. (2018). Business Model Innovation from a Technology Perspective: A Review. Engineering Digital Transformation. Lecture Notes in Management and Industrial Engineering. Springer, pp. 33-40.

Ibarra D., Ganzarain J. and Igartua J.I. (2018). Business model innovation through Industry 4.0: A review, 11th International Conference Interdisciplinarity in Enginering, Procedia Manufacturing, pp. 4-10.

Illés, B., Glistau, E., Coello Machado, N. (2007). Logistik und Qualitätsmanagement. 1. Auflage. Miskolc, Hungary: University of Miskolc, pp. 3

Johansson A., Christiernin L. G. and Pejryd L. (2016). Manufacturing system design for business value, a holistic design approach, Procedia 26 th CIRP Design Conference, pp. 659-664.

Krampe H. and Clausen U. (2006). Grundlagen der Logistik. Theorie und Praxis logistischer Systeme, Vol. 3, München: Huss, pp. 62-65.

Lang S., Reggelin T., Schmidt J., Müller M. and Nahhas A. (2021). NeuroEvolution of augmenting topologies for solving a two-stage hybrid flow shop scheduling problem: A comparison of different solution strategies. Expert Systems with Applications, Vol. 172. https://doi.org/10.1016/j.eswa.2021.114666.

Müller A-K. (2018). Offene Geschäftsmodellinnovation durch Kooperation in Netzwerken. In: Ringlstetter M. J. (eds): Schriften zur Unternehmensentwicklung. Springer Gabler, p 51.

Permin E., Lindner F., Kostyszyn K., Grunert D., Lossie K., Schmitt R. and Plutz M. (2019). Smart Devices in Production System Maintenance. Predictive Maintenance in Dynamic Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-05645-2_2

Reinartz W. (2002). Customizing Prices in Online Markets. Symphonya. Emerging Issues in Management, Vol. 1, pp. 55-65. http://dx.doi.org/10.4468/2002.1.05reinartz

Richter K., Poenicke O., Kirch M. and Nykolaychuk M. (2015). Logistiksysteme. Produktion und Logistik mit Zukunft, Berlin, Heidelberg: Springer Vieweg, pp. 246 – 250.

Schmidtke, N.; Behrendt, F.; Meixner, S.; Thater, L. (2018). Technical potentials and challenges within internal logistics 4.0. In: IEEE. In: 2018 4th Interna-tional Conference on Logistics Operations Management (GOL) IEEE, pp. 1-10

Schmidtke N. and Behrendt F. (2019). Intelligente Logistikräume - Konzept zur Bewältigung der steigenden Anforderungen der industriellen Logistik von morgen. 20. Forschungskolloquium am Fraunhofer IFF: Industrie 4.0 - (R)Evolution der Produktion, pp. 43-52.

Schmidtke N., Behrendt F., Wagner M., Rettmann A. B. and Ansorge T. (2020). Technology Assessment for Designing Smart Logistics Zones. 5th International Conference on Logistics Operations Management (GOL), Rabat, Morocco, pp. 1-9. https://doi.org/10.1109/GOL49479.2020.9314741

Schmidtke N., Rettmann A. and Behrendt F. (2021). Matrix Production Systems - Requirements and Influences on Logistics Planning for Decentralized Production Structures. Hawaii International Conference on System Sciences 2021 https://doi.org/10.24251/HICSS.2021.201

Schuh G., Frank J., Jussen P., Rix C. and Harland T. (2019). Monetizing Industry 4.0: Design Principles for Subscription Business in the Manufacturing Industry IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC), Valbonne Sophia-Antipolis, France, pp. 1-9. https://doi.org/10.1109/ICE.2019.8792607

Sisinni E., Saifullah A., Han S., Jennehag U. and Gidlund M. (2019). Industrial Internet of Things: Challenges, Opportunities, and Directions, IEEE Transactions on industrial informatics, Vol. 14(11), pp. 4724-4734.

Stamer F., Labbouz A., Häfner B. and Lanza G. (2019). Framework for Smart Services as a premise for collaboration in the era of manufacturing services. Production at the leading edge of technology, pp. 603-612, Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-60417-5_60

Stölzle W., Schmidt T. and Kille C. (2018). Digitalisierungswerkzeuge in der Logistik: Einsatzpotenziale, Reifegrad und Wertbeitrag. Impulse für Investitionsentscheidungen in die Digitalisierung – Erfolgsgeschichten und aktuelle Herausforderungen. Universität St. Gallen. Institut für Supply Chain Management.

Ten Hompel M., Heistermann F. and Mallée T. (2006). Digitalisierung in der Logistik. Bundesvereinigung Logistik (BVL) e. V., p. 13.. Online: https://www.bvl.de/positionspapier-digitalisierung (last access date 22.03.2021)

Ten Hompel M.; Henke M. (2017). Logistik 4.0 – Ein Ausblick auf die Planung und das Management der zukünftigen Logistik vor dem Hintergrund der vierten industriellen Revolution. Industrie 4.0, Bd. 4, Berlin, Heidelberg: Springer Vieweg, pp. 247-250.

Torn I. A. R. and Vaneker T.H.J. (2019). Mass Personalization with Industry 4.0 by SMEs: a concept for collaborative networks. International Conference on Changeable, Agile, Reconfigurable and Virtual Production, pp. 135-141.

Osterwalder A. (2004). The Business Model Ontology - a Proposition in a Design Science Approach. Dissertation, University of Lausanne, Switzerland, pp. 42-46.

Osterwalder A. et al. (2005). Clarifying Business Models: Origins, Present, and Future of the Concept. Communications of the Association for Information Systems: Vol. 16 , Article 1, pp. 1-25.

Osterwalder A. and Pigneur Y. (2010). Business Model Generation: A Handbook For Visionaries, Game Changers, and Challengers. Strategyzer series. Hoboken, NJ: John Wiley & Sons.

Valilai O.F. and Sodachi M. (2020). Inspiration of Industry 4.0 to Enable a Proactive Sustainability Assessment Model through the Supply Chain. Procedia Manufacturing, 5th International Conference on System-Integrated Intelligence. pp. 356-362.

Wang Y., Towara T. and Anderl R. (2019) Technology Landscape 4.0. In: Ao S.-I. et al. (eds): Transactions on Engineering Technologies, pp. 31-45.

Wiedenmann M. and Größler A. (2019). The impact of digital technologies on operational causes of the bullwhip effect – a literature review. Procedia CIRP 81, pp. 552-557.

Zysman J. and Kenney M., (2019). The Next Phase in the Digital Revolution: Intelligent Tools, Platforms, Growth, Employment. Communications of the ACM. Vol. 61(2), pp. 54-63.

Tufekci S. and Wallace W. A. (1998). The emerging area of emergency management and engineering,” IEEE Trans. Eng. Manag., Vol. 45(2), pp. 103–105.

Balaman ┼×. Y. (2016). Investment planning and strategic management of sustainable systems for clean power generation: An ε-constraint based multi objective modelling approach. J. Clean. Prod., Vol. 137, pp. 1179–1190.

Andersson T. and Värbrand P. (2006). Decision support tools for ambulance dispatch and relocation,” J. Oper. Res. Soc., Vol. 58(2), pp. 195–201.

W. G. III. (2002). Four phases of emergency management,” Encycl. Civ. Def. Emerg.

Yi W. and Özdamar L. (2007). A dynamic logistics coordination model for evacuation and support in disaster response activities,” Eur. J. Oper. Res., Vol. 179(3), pp. 1177–1193.