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Development of a Sharing Concept for Industrial Compost Turners Using Model-Based Systems Engineering, under Consideration of Technical and Logistical Aspects

Author

Listed:
  • Max Cichocki

    (Institute of Logistics Engineering (ITL), Graz University of Technology, 8010 Graz, Austria
    These authors contributed equally to this work.)

  • Christian Landschützer

    (Institute of Logistics Engineering (ITL), Graz University of Technology, 8010 Graz, Austria
    These authors contributed equally to this work.)

  • Hannes Hick

    (Institute of Machine Components and Methods of Development, Graz University of Technology, 8010 Graz, Austria
    These authors contributed equally to this work.)

Abstract

The trend of sharing concepts is constantly increasing, whether this may be for economic or environmental reasons. Consequently, numerous scientific research works have addressed the subject of sharing concepts. Many of these works have dealt with questions on the topic of sharing concepts itself, however, much less research has been dedicated to the question of how the sharing concept can be developed in the very first place. Thus, the purpose of this work was to systematically use systems engineering methods to develop a sharing concept for heavy-duty agricultural vehicles, while having a strong focus on technical and logistical aspects. Due to the multidisciplinary complexity of the sharing concept, a method from the field of model-based systems engineering, ARCADIA, was chosen. On ARCADIA’s top level, operational analysis was carried out to identify the key stakeholders. The next level, systems analysis, showed that the sharing model can be divided into three main processes: (1) data acquisition and preparation; (2) location planning; (3) and route planning. For these main processes, corresponding methods, algorithms and models were sought and compared against each other in the last level, logical analysis. It can be concluded that the ARCADIA method has provided a framework for evaluating the correlations and interrelationships between methods, algorithms and models at different levels to develop a sharing concept for compost turners from a technical perspective.

Suggested Citation

  • Max Cichocki & Christian Landschützer & Hannes Hick, 2022. "Development of a Sharing Concept for Industrial Compost Turners Using Model-Based Systems Engineering, under Consideration of Technical and Logistical Aspects," Sustainability, MDPI, vol. 14(17), pages 1-22, August.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:17:p:10694-:d:899572
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    References listed on IDEAS

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    1. Acquier, Aurélien & Daudigeos, Thibault & Pinkse, Jonatan, 2017. "Promises and paradoxes of the sharing economy: An organizing framework," Technological Forecasting and Social Change, Elsevier, vol. 125(C), pages 1-10.
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    4. Wilhelms, Mark-Philipp & Henkel, Sven & Falk, Tomas, 2017. "To earn is not enough: A means-end analysis to uncover peer-providers' participation motives in peer-to-peer carsharing," Technological Forecasting and Social Change, Elsevier, vol. 125(C), pages 38-47.
    5. Manik Rakhra & Ramandeep Singh & Tarun Kumar Lohani & Mohammad Shabaz, 2021. "Metaheuristic and Machine Learning-Based Smart Engine for Renting and Sharing of Agriculture Equipment," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-13, February.
    6. Kun-Huang Huarng, 2018. "Entrepreneurship for Long-term Care in Sharing Economy," International Entrepreneurship and Management Journal, Springer, vol. 14(1), pages 97-104, March.
    7. Dondo, Rodolfo & Cerda, Jaime, 2007. "A cluster-based optimization approach for the multi-depot heterogeneous fleet vehicle routing problem with time windows," European Journal of Operational Research, Elsevier, vol. 176(3), pages 1478-1507, February.
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    Cited by:

    1. Max Cichocki & Ali V. Barenji & Benoit Montreuil & Christian Landschützer, 2023. "Hyperconnected Logistic Platform for Heavy-Duty Machinery: Leveraging Physical Internet Principles to Drive the Composting Industry," Sustainability, MDPI, vol. 15(17), pages 1-23, August.
    2. Issam A. R. Moghrabi & Sameer Ahmad Bhat & Piotr Szczuko & Rawan A. AlKhaled & Muneer Ahmad Dar, 2023. "Digital Transformation and Its Influence on Sustainable Manufacturing and Business Practices," Sustainability, MDPI, vol. 15(4), pages 1-35, February.

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