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Investigating the feasibility of supply chain-centric business models in 3D chocolate printing: A simulation study

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  • Jia, Fu
  • Wang, Xiaofeng
  • Mustafee, Navonil
  • Hao, Liang

Abstract

3D chocolate printing provides the technology for manufacturing chocolates layer-by-layer, thus offering customers enhanced product value and personalized consumption experience. As business models in the chocolate industry are closely associated with the profitability of the supply chain constituents, it seems appropriate to investigate the financial viability of these supply-chain centric business models prior to their introduction in the real world. In this paper we present two business models pertaining to the supply chain for 3D printed chocolates; we evaluate the financial viability of these innovative models through the use of computer modelling and simulation. The study is based on the commercialization efforts of a UK based 3D chocolate printing technology provider (Choc Edge). The results of the study indicate that 1) the retailer dominant supply chain model is a potentially disruptive business model innovations that are enabled by the 3D food printing technology, and as such, may pose a challenge to traditional high end chocolate products; 2) the manufacturer dominant model helps manufacturers gain more profits while retailer profits tend to be stagnant.

Suggested Citation

  • Jia, Fu & Wang, Xiaofeng & Mustafee, Navonil & Hao, Liang, 2016. "Investigating the feasibility of supply chain-centric business models in 3D chocolate printing: A simulation study," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 202-213.
    • Handle: RePEc:eee:tefoso:v:102:y:2016:i:c:p:202-213
    DOI: 10.1016/j.techfore.2015.07.026
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    Cited by:

    1. Yeh, Ching-Chiang & Chen, Yi-Fan, 2018. "Critical success factors for adoption of 3D printing," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 209-216.
    2. Sandeep Jagtap & Farah Bader & Guillermo Garcia-Garcia & Hana Trollman & Tobi Fadiji & Konstantinos Salonitis, 2020. "Food Logistics 4.0: Opportunities and Challenges," Logistics, MDPI, vol. 5(1), pages 1-19, December.
    3. Kapetaniou, Chrystalla & Rieple, Alison & Pilkington, Alan & Frandsen, Thomas & Pisano, Paola, 2018. "Building the layers of a new manufacturing taxonomy: How 3D printing is creating a new landscape of production eco-systems and competitive dynamics," Technological Forecasting and Social Change, Elsevier, vol. 128(C), pages 22-35.
    4. Culot, Giovanna & Orzes, Guido & Sartor, Marco & Nassimbeni, Guido, 2020. "The future of manufacturing: A Delphi-based scenario analysis on Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    5. Marco Savastano & Carlo Amendola & Francesco Bellini & Fabrizio D’Ascenzo, 2019. "Contextual Impacts on Industrial Processes Brought by the Digital Transformation of Manufacturing: A Systematic Review," Sustainability, MDPI, vol. 11(3), pages 1-38, February.
    6. Victor Verboeket & Harold Krikke, 2019. "Additive Manufacturing: A Game Changer in Supply Chain Design," Logistics, MDPI, vol. 3(2), pages 1-27, April.
    7. Marić, Josip & Opazo-Basáez, Marco & Vlačić, Božidar & Dabić, Marina, 2023. "Innovation management of three-dimensional printing (3DP) technology: Disclosing insights from existing literature and determining future research streams," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    8. Charlebois, Sylvain & Juhasz, Mark, 2018. "Food Futures and 3D Printing: Strategic Market Foresight and the Case of Structur3D," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 9(2), March.
    9. Yu Gong & Lujie Chen & Fu Jia & Richard Wilding, 2019. "Logistics Innovation in China: The Lens of Chinese Daoism," Sustainability, MDPI, vol. 11(2), pages 1-21, January.
    10. Helen Rogers & Mohit Srivastava, 2021. "Emerging Sustainable Supply Chain Models for 3D Food Printing," Sustainability, MDPI, vol. 13(21), pages 1-18, November.
    11. Zhu, Lin & Cunningham, Scott W., 2022. "Unveiling the knowledge structure of technological forecasting and social change (1969–2020) through an NMF-based hierarchical topic model," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    12. von Delft, Stephan & Zhao, Yang, 2021. "Business models in process industries: Emerging trends and future research," Technovation, Elsevier, vol. 105(C).

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