IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v135y2012i1p50-60.html
   My bibliography  Save this article

Mutual impacts of product standardization and supply chain design

Author

Listed:
  • Baud-Lavigne, Bertrand
  • Agard, Bruno
  • Penz, Bernard

Abstract

This paper deals with two major issues for industries; the product design and the supply chain design. These problems are usually solved separately, but in recent years, approaches were proposed to tackle these two problems together. In this paper, we investigate more precisely the links between the standardization of products or components, and the design of the supply chain. First, we show on a little example that there is a great interest to consider simultaneously these two decisions, and that solving these interdependent problems separately could result in a suboptimal, or even a bad, decision. Then, on a simplified problem issued from an industrial case study, we outline the impact of standardization choices on the structure of the supply chain and the gain that can be obtained from solving the problem as a unique compound optimization model. To illustrate the solutions of the problem, we propose graphics in order to visualize, in function of quantities and/or transportation costs, the best decision for the product standardization and for the supply chain design. Graphics also permit to anticipate the impacts of a variation of either quantities or transportation costs, from a specific situation. Such graphics they could be used in a decision aid tool to help companies in their choices. Finally, we show that costs and supply chain structure are highly impacted.

Suggested Citation

  • Baud-Lavigne, Bertrand & Agard, Bruno & Penz, Bernard, 2012. "Mutual impacts of product standardization and supply chain design," International Journal of Production Economics, Elsevier, vol. 135(1), pages 50-60.
  • Handle: RePEc:eee:proeco:v:135:y:2012:i:1:p:50-60
    DOI: 10.1016/j.ijpe.2010.09.024
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527310003622
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ijpe.2010.09.024?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lamothe, Jacques & Hadj-Hamou, Khaled & Aldanondo, Michel, 2006. "An optimization model for selecting a product family and designing its supply chain," European Journal of Operational Research, Elsevier, vol. 169(3), pages 1030-1047, March.
    2. Fixson, Sebastian K., 2007. "Modularity and Commonality Research: Past Developments and Future Opportunities," Working papers 37145, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    3. Fixson, Sebastian K., 2007. "Modularity and Commonality Research: Past Developments and Future Opportunities," Working papers 37286, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    4. Melo, M.T. & Nickel, S. & Saldanha-da-Gama, F., 2009. "Facility location and supply chain management - A review," European Journal of Operational Research, Elsevier, vol. 196(2), pages 401-412, July.
    5. Diane Riopel & André Langevin & James F. Campbell, 2005. "The Network of Logistics Decisions," Springer Books, in: André Langevin & Diane Riopel (ed.), Logistics Systems: Design and Optimization, chapter 0, pages 1-38, Springer.
    6. Thanh, Phuong Nga & Bostel, Nathalie & Péton, Olivier, 2008. "A dynamic model for facility location in the design of complex supply chains," International Journal of Production Economics, Elsevier, vol. 113(2), pages 678-693, June.
    7. Jean-François Cordeau & Federico Pasin & Marius Solomon, 2006. "An integrated model for logistics network design," Annals of Operations Research, Springer, vol. 144(1), pages 59-82, April.
    8. Olivier Briant & Denis Naddef, 2004. "The Optimal Diversity Management Problem," Operations Research, INFORMS, vol. 52(4), pages 515-526, August.
    9. Dowlatshahi, S., 1996. "The role of logistics in concurrent engineering," International Journal of Production Economics, Elsevier, vol. 44(3), pages 189-199, July.
    10. Agard, Bruno & Penz, Bernard, 2009. "A simulated annealing method based on a clustering approach to determine bills of materials for a large product family," International Journal of Production Economics, Elsevier, vol. 117(2), pages 389-401, February.
    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. Wang, Zhiqiang & Zhang, Min & Sun, Hongyi & Zhu, Guilong, 2016. "Effects of standardization and innovation on mass customization: An empirical investigation," Technovation, Elsevier, vol. 48, pages 79-86.
    2. Baud-Lavigne, Bertrand & Agard, Bruno & Penz, Bernard, 2016. "Simultaneous product family and supply chain design: An optimization approach," International Journal of Production Economics, Elsevier, vol. 174(C), pages 111-118.
    3. Xiong, Yixuan & Du, Gang & Jiao, Roger J., 2018. "Modular product platforming with supply chain postponement decisions by leader-follower interactive optimization," International Journal of Production Economics, Elsevier, vol. 205(C), pages 272-286.
    4. Imane Ballouki & Mohammed Douimi & Latifa Ouzizi, 2018. "Decision Support Tool Selection for Eco-Design Integration into the Simultaneous Design of Product and its Supply Chain," Journal of Environmental Assessment Policy and Management (JEAPM), World Scientific Publishing Co. Pte. Ltd., vol. 20(02), pages 1-32, June.
    5. Martin Steinrücke & Wolfgang Albrecht, 2016. "A flow-to-equity approach to coordinate supply chain network planning and financial planning with annual cash outflows to an institutional investor," Business Research, Springer;German Academic Association for Business Research, vol. 9(2), pages 297-333, August.
    6. Rezapour, Shabnam & Hassani, Ashkan & Farahani, Reza Zanjirani, 2015. "Concurrent design of product family and supply chain network considering quality and price," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 81(C), pages 18-35.
    7. Bertrand Baud-Lavigne & Samuel Bassetto & Bruno Agard, 2016. "A method for a robust optimization of joint product and supply chain design," Journal of Intelligent Manufacturing, Springer, vol. 27(4), pages 741-749, August.
    8. Benhamou, Latifa & Giard, Vincent & Khouloud, Mehdi & Fenies, Pierres & Fontane, Frédéric, 2020. "Reverse Blending: An economically efficient approach to the challenge of fertilizer mass customization," International Journal of Production Economics, Elsevier, vol. 226(C).
    9. Katoozian, Hoora & Zanjani, Masoumeh Kazemi, 2022. "Supply network design for mass personalization in Industry 4.0 era," International Journal of Production Economics, Elsevier, vol. 244(C).
    10. Rajesh, R., 2017. "Technological capabilities and supply chain resilience of firms: A relational analysis using Total Interpretive Structural Modeling (TISM)," Technological Forecasting and Social Change, Elsevier, vol. 118(C), pages 161-169.
    11. Konstantinos Petridis, 2015. "Optimal design of multi-echelon supply chain networks under normally distributed demand," Annals of Operations Research, Springer, vol. 227(1), pages 63-91, April.

    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. Baud-Lavigne, Bertrand & Agard, Bruno & Penz, Bernard, 2016. "Simultaneous product family and supply chain design: An optimization approach," International Journal of Production Economics, Elsevier, vol. 174(C), pages 111-118.
    2. Sahling, Florian & Kayser, Ariane, 2016. "Strategic supply network planning with vendor selection under consideration of risk and demand uncertainty," Omega, Elsevier, vol. 59(PB), pages 201-214.
    3. Cortinhal, M. J. & Lopes, M. J. & Melo, M. T., 2014. "Redesigning a three-echelon logistics network over multiple time periods with transportation mode selection and outsourcing opportunities," Technical Reports on Logistics of the Saarland Business School 7, Saarland University of Applied Sciences (htw saar), Saarland Business School.
    4. Rezapour, Shabnam & Hassani, Ashkan & Farahani, Reza Zanjirani, 2015. "Concurrent design of product family and supply chain network considering quality and price," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 81(C), pages 18-35.
    5. Melo, M.T. & Nickel, S. & Saldanha-da-Gama, F., 2012. "A tabu search heuristic for redesigning a multi-echelon supply chain network over a planning horizon," International Journal of Production Economics, Elsevier, vol. 136(1), pages 218-230.
    6. Menezes, Mozart B.C. & Ruiz-Hernández, Diego & Guimaraes, Renato, 2016. "The component commonality problem in a real multidimensional space: An algorithmic approach," European Journal of Operational Research, Elsevier, vol. 249(1), pages 105-116.
    7. Thanh, Phuong Nga & Bostel, Nathalie & Péton, Olivier, 2012. "A DC programming heuristic applied to the logistics network design problem," International Journal of Production Economics, Elsevier, vol. 135(1), pages 94-105.
    8. Fixson, Sebastian K. & Park, Jin-Kyu, 2007. "The Power of Integrality: Linkages between Product Architecture, Innovation, and Industry Structure," Working papers 37154, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    9. M. Fattahi & M. Mahootchi & S. M. Moattar Husseini, 2016. "Integrated strategic and tactical supply chain planning with price-sensitive demands," Annals of Operations Research, Springer, vol. 242(2), pages 423-456, July.
    10. Correia, Isabel & Melo, Teresa & Saldanha-da-Gama, Francisco, 2012. "Comparing classical performance measures for a multi-period, two-echelon supply chain network design problem with sizing decisions," Technical Reports on Logistics of the Saarland Business School 1, Saarland University of Applied Sciences (htw saar), Saarland Business School.
    11. Fixson, Sebastian K. & Park, Jin-Kyu, 2008. "The power of integrality: Linkages between product architecture, innovation, and industry structure," Research Policy, Elsevier, vol. 37(8), pages 1296-1316, September.
    12. Shuang Ma & Gang Du & Jianxin (Roger) Jiao & Ruchuan Zhang, 2016. "Hierarchical game joint optimization for product family-driven modular design," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(12), pages 1496-1509, December.
    13. 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.
    14. Camilo Ortiz-Astorquiza & Ivan Contreras & Gilbert Laporte, 2019. "An Exact Algorithm for Multilevel Uncapacitated Facility Location," Transportation Science, INFORMS, vol. 53(4), pages 1085-1106, July.
    15. Wu, Tao & Xiao, Fan & Zhang, Canrong & Zhang, Defu & Liang, Zhe, 2019. "Regression and extrapolation guided optimization for production–distribution with ship–buy–exchange options," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 129(C), pages 15-37.
    16. Martins, C. L. & Melo, Teresa & Pato, Margarida Vaz, 2016. "Redesigning a food bank supply chain network, Part I: Background and mathematical formulation," Technical Reports on Logistics of the Saarland Business School 10, Saarland University of Applied Sciences (htw saar), Saarland Business School.
    17. Yongxi (Eric) Huang & Yueyue Fan & Chien-Wei Chen, 2014. "An Integrated Biofuel Supply Chain to Cope with Feedstock Seasonality and Uncertainty," Transportation Science, INFORMS, vol. 48(4), pages 540-554, November.
    18. Contreras, Ivan & Fernández, Elena & Reinelt, Gerhard, 2012. "Minimizing the maximum travel time in a combined model of facility location and network design," Omega, Elsevier, vol. 40(6), pages 847-860.
    19. Cheng, Chun & Qi, Mingyao & Zhang, Ying & Rousseau, Louis-Martin, 2018. "A two-stage robust approach for the reliable logistics network design problem," Transportation Research Part B: Methodological, Elsevier, vol. 111(C), pages 185-202.
    20. Belieres, Simon & Hewitt, Mike & Jozefowiez, Nicolas & Semet, Frédéric & Van Woensel, Tom, 2020. "A Benders decomposition-based approach for logistics service network design," European Journal of Operational Research, Elsevier, vol. 286(2), pages 523-537.

    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:eee:proeco:v:135:y:2012:i:1:p:50-60. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    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.