IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i5p2837-d761144.html
   My bibliography  Save this article

Software-Defined Mobile Supply Chains: Rebalancing Resilience and Efficiency in Production Systems

Author

Listed:
  • Eduardo Alarcon-Gerbier

    (Boysen-TU Dresden Research Training Group, Technische Universität Dresden, 01187 Dresden, Germany
    Business Administration, esp. Industrial Management, Technische Universität Dresden, 01069 Dresden, Germany)

  • Zarina Chokparova

    (Boysen-TU Dresden Research Training Group, Technische Universität Dresden, 01187 Dresden, Germany
    Process Control Systems and Process Systems Engineering Group, Technische Universität Dresden, 01069 Dresden, Germany)

  • Nassim Ghondaghsaz

    (Boysen-TU Dresden Research Training Group, Technische Universität Dresden, 01187 Dresden, Germany
    Institute of Media and Communication Science, Technische Universität Dresden, 01069 Dresden, Germany)

  • Wanqi Zhao

    (Boysen-TU Dresden Research Training Group, Technische Universität Dresden, 01187 Dresden, Germany
    Software Technology, Institute for Software and Multimedia Technology, Technische Universität Dresden, 01069 Dresden, Germany)

  • Hani Shahmoradi-Moghadam

    (Boysen-TU Dresden Research Training Group, Technische Universität Dresden, 01187 Dresden, Germany
    Transport Services and Logistics, Technische Universität Dresden, 01069 Dresden, Germany)

  • Uwe Aßmann

    (Software Technology, Institute for Software and Multimedia Technology, Technische Universität Dresden, 01069 Dresden, Germany)

  • Orçun Oruç

    (Software Technology, Institute for Software and Multimedia Technology, Technische Universität Dresden, 01069 Dresden, Germany)

Abstract

The miniaturization and modularization of production capacity brings with it not only greater agility and efficiency, but also increased flexibility in the form of mobility. This flexibility allows production capacity to be moved when and where it is most needed, generating new business opportunities, e.g., allowing modular units to be rented, leased, or shared. This flexibility, however, requires information and control systems that ensure a correct and secure flow of information between different stakeholders of the supply chain. Based on this, the present article characterizes the concept of software-defined mobile supply chains, presenting its main requirements, opportunities, and limitations. In addition, we present two case studies in which the proposed concept is evaluated in order to demonstrate its applicability. Here, due to the new optimization problems that arise when considering mobile facilities, special interest is given to the planning and control of the required operations, as well as the difficulties associated with the exchange of physical and intellectual assets between different stakeholders.

Suggested Citation

  • Eduardo Alarcon-Gerbier & Zarina Chokparova & Nassim Ghondaghsaz & Wanqi Zhao & Hani Shahmoradi-Moghadam & Uwe Aßmann & Orçun Oruç, 2022. "Software-Defined Mobile Supply Chains: Rebalancing Resilience and Efficiency in Production Systems," Sustainability, MDPI, vol. 14(5), pages 1-21, February.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:5:p:2837-:d:761144
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/5/2837/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/5/2837/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chanchan Hao & Qiang Du & Youdan Huang & Long Shao & Yunqing Yan, 2019. "Evolutionary Game Analysis on Knowledge-Sharing Behavior in the Construction Supply Chain," Sustainability, MDPI, vol. 11(19), pages 1-16, September.
    2. Nagy, Gabor & Salhi, Said, 2007. "Location-routing: Issues, models and methods," European Journal of Operational Research, Elsevier, vol. 177(2), pages 649-672, March.
    3. Becker, Tristan & Lier, Stefan & Werners, Brigitte, 2019. "Value of modular production concepts in future chemical industry production networks," European Journal of Operational Research, Elsevier, vol. 276(3), pages 957-970.
    4. Cai, Gangshu & Kock, Ned, 2009. "An evolutionary game theoretic perspective on e-collaboration: The collaboration effort and media relativeness," European Journal of Operational Research, Elsevier, vol. 194(3), pages 821-833, May.
    5. Tan, Siah Hong & Barton, Paul I., 2015. "Optimal dynamic allocation of mobile plants to monetize associated or stranded natural gas, part I: Bakken shale play case study," Energy, Elsevier, vol. 93(P2), pages 1581-1594.
    6. Ding, Xiu-Hao & Huang, Rui-Hua, 2010. "Effects of knowledge spillover on inter-organizational resource sharing decision in collaborative knowledge creation," European Journal of Operational Research, Elsevier, vol. 201(3), pages 949-959, March.
    7. Fox, Stephen, 2015. "Moveable factories: How to enable sustainable widespread manufacturing by local people in regions without manufacturing skills and infrastructure," Technology in Society, Elsevier, vol. 42(C), pages 49-60.
    8. Armbruster, D. & de Beer, C. & Freitag, M. & Jagalski, T. & Ringhofer, C., 2006. "Autonomous control of production networks using a pheromone approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 363(1), pages 104-114.
    9. Ralf Reichwald & Christof M. Stotko & Frank T. Piller, 2005. "Distributed mini-factory networks as a form of real-time enterprise: concept, flexibility potential and case studies," Springer Books, in: Bernd Kuhlin & Heinz Thielmann (ed.), The Practical Real-Time Enterprise, pages 403-434, Springer.
    10. Mohebbi, Shima & Li, Xueping, 2015. "Coalitional game theory approach to modeling suppliers' collaboration in supply networks," International Journal of Production Economics, Elsevier, vol. 169(C), pages 333-342.
    11. Eduardo Alarcon-Gerbier, 2020. "Facility Location with Modular Capacities for Distributed Scheduling Problems," Operations Research Proceedings, in: Janis S. Neufeld & Udo Buscher & Rainer Lasch & Dominik Möst & Jörn Schönberger (ed.), Operations Research Proceedings 2019, pages 545-551, Springer.
    12. Allman, Andrew & Zhang, Qi, 2020. "Dynamic location of modular manufacturing facilities with relocation of individual modules," European Journal of Operational Research, Elsevier, vol. 286(2), pages 494-507.
    13. Stephen Fox, 2019. "Moveable Production Systems for Sustainable Development and Trade: Limitations, Opportunities and Barriers," Sustainability, MDPI, vol. 11(19), pages 1-21, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Alessia Napoleone & Alessandro Bruzzone & Ann-Louise Andersen & Thomas Ditlev Brunoe, 2022. "Fostering the Reuse of Manufacturing Resources for Resilient and Sustainable Supply Chains," Sustainability, MDPI, vol. 14(10), pages 1-15, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nassim Ghondaghsaz & Zarina Chokparova & Sven Engesser & Leon Urbas, 2022. "Managing the Tension between Trust and Confidentiality in Mobile Supply Chains," Sustainability, MDPI, vol. 14(4), pages 1-25, February.
    2. Ariane Kayser & Florian Sahling, 2023. "Relocatable modular capacities in risk aware strategic supply network planning under demand uncertainty," Schmalenbach Journal of Business Research, Springer, vol. 75(1), pages 1-35, March.
    3. Chanchan Hao & Qiang Du & Youdan Huang & Long Shao & Yunqing Yan, 2019. "Evolutionary Game Analysis on Knowledge-Sharing Behavior in the Construction Supply Chain," Sustainability, MDPI, vol. 11(19), pages 1-16, September.
    4. Allman, Andrew & Zhang, Qi, 2020. "Dynamic location of modular manufacturing facilities with relocation of individual modules," European Journal of Operational Research, Elsevier, vol. 286(2), pages 494-507.
    5. Silva, Allyson & Aloise, Daniel & Coelho, Leandro C. & Rocha, Caroline, 2021. "Heuristics for the dynamic facility location problem with modular capacities," European Journal of Operational Research, Elsevier, vol. 290(2), pages 435-452.
    6. Lee, Chungmok & Han, Jinil, 2017. "Benders-and-Price approach for electric vehicle charging station location problem under probabilistic travel range," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 130-152.
    7. Corsini, Lucia & Aranda-Jan, Clara B. & Moultrie, James, 2019. "Using digital fabrication tools to provide humanitarian and development aid in low-resource settings," Technology in Society, Elsevier, vol. 58(C).
    8. A. Anaya-Arenas & J. Renaud & A. Ruiz, 2014. "Relief distribution networks: a systematic review," Annals of Operations Research, Springer, vol. 223(1), pages 53-79, December.
    9. Weijun Xie & Yanfeng Ouyang & Sze Chun Wong, 2016. "Reliable Location-Routing Design Under Probabilistic Facility Disruptions," Transportation Science, INFORMS, vol. 50(3), pages 1128-1138, August.
    10. Liming Zhao & Haihong Zhang & Wenqing Wu, 2019. "Cooperative knowledge creation in an uncertain network environment based on a dynamic knowledge supernetwork," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 657-685, May.
    11. Arthur Mahéo & Diego Gabriel Rossit & Philip Kilby, 2023. "Solving the integrated bin allocation and collection routing problem for municipal solid waste: a Benders decomposition approach," Annals of Operations Research, Springer, vol. 322(1), pages 441-465, March.
    12. Liu, Yubin & Ye, Qiming & Escribano-Macias, Jose & Feng, Yuxiang & Candela, Eduardo & Angeloudis, Panagiotis, 2023. "Route planning for last-mile deliveries using mobile parcel lockers: A hybrid q-learning network approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 177(C).
    13. Michael Görges & Michael Freitag, 2022. "Design and Evaluation of an Integrated Autonomous Control Method for Automobile Terminals," Logistics, MDPI, vol. 6(4), pages 1-27, October.
    14. Burcin Bozkaya & Seda Yanik & Selim Balcisoy, 2010. "A GIS-Based Optimization Framework for Competitive Multi-Facility Location-Routing Problem," Networks and Spatial Economics, Springer, vol. 10(3), pages 297-320, September.
    15. Park, Hyeongjun & Park, Dongjoo & Jeong, In-Jae, 2016. "An effects analysis of logistics collaboration in last-mile networks for CEP delivery services," Transport Policy, Elsevier, vol. 50(C), pages 115-125.
    16. To-Han Chang & Wen-Bin Chuang, 2016. "Overseas R&D and Taiwan-Based Firm?s Productivity - Does Internal Technological Capability Matter?," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 6(9), pages 499-509, September.
    17. Sahar Validi & Arijit Bhattacharya & P. J. Byrne, 2020. "Sustainable distribution system design: a two-phase DoE-guided meta-heuristic solution approach for a three-echelon bi-objective AHP-integrated location-routing model," Annals of Operations Research, Springer, vol. 290(1), pages 191-222, July.
    18. Paolo Gianessi & Laurent Alfandari & Lucas Létocart & Roberto Wolfler Calvo, 2016. "The Multicommodity-Ring Location Routing Problem," Transportation Science, INFORMS, vol. 50(2), pages 541-558, May.
    19. Zhu, Stuart X. & Ursavas, Evrim, 2018. "Design and analysis of a satellite network with direct delivery in the pharmaceutical industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 116(C), pages 190-207.
    20. Hashemi Doulabi, Seyed Hossein & Seifi, Abbas, 2013. "Lower and upper bounds for location-arc routing problems with vehicle capacity constraints," European Journal of Operational Research, Elsevier, vol. 224(1), pages 189-208.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:5:p:2837-:d:761144. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.