IDEAS home Printed from https://ideas.repec.org/a/jfr/jms111/v8y2017i1p1-9.html
   My bibliography  Save this article

Impact Analysis of Complexity Drivers in the Supply Chain of Prefabricated Houses

Author

Listed:
  • Benjamin S. Stroebele
  • Andreas J. Kiessling

Abstract

The lack of living space has recently increased particularly in urban centers. This deficiency cannot be remedied with the productivity status quo in the construction industry. One opportunity to significantly increase the productivity of the construction industry is the industrial modular construction. In order to achieve increased productivity, the value chain must act across the entire organization. A supply chain management is required to exploit the potential of the prefabricated construction. In order to develop a specific supply chain management, the corresponding complexity factors along the value chain must be known. The aim of the study is to quantify the essential factors which influence the value chain for prefabricated houses and form a basis for the future development of a supply chain management. The results of this scientific work clearly show that although an industrial modular production is carried out, the highest complexity drivers are still found on the construction site as well as in the logistics from the module production to the construction site. In addition, it is also apparent that special requirements as well as the size of the modules are decisive factors and as such need to be considered during the future development of the supply chain management concept.

Suggested Citation

  • Benjamin S. Stroebele & Andreas J. Kiessling, 2017. "Impact Analysis of Complexity Drivers in the Supply Chain of Prefabricated Houses," Journal of Management and Strategy, Journal of Management and Strategy, Sciedu Press, vol. 8(1), pages 1-9, February.
  • Handle: RePEc:jfr:jms111:v:8:y:2017:i:1:p:1-9
    DOI: 10.5430/jms.v8n1p1
    as

    Download full text from publisher

    File URL: http://www.sciedu.ca/journal/index.php/jms/article/view/10996/6721
    Download Restriction: no

    File URL: http://www.sciedu.ca/journal/index.php/jms/article/view/10996
    Download Restriction: no

    File URL: https://libkey.io/10.5430/jms.v8n1p1?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
    ---><---

    References listed on IDEAS

    as
    1. Marshall Fisher & Kamalini Ramdas & Karl Ulrich, 1999. "Component Sharing in the Management of Product Variety: A Study of Automotive Braking Systems," Management Science, INFORMS, vol. 45(3), pages 297-315, March.
    2. Gerard Wood & Robert Ellis, 2005. "Main contractor experiences of partnering relationships on UK construction projects," Construction Management and Economics, Taylor & Francis Journals, vol. 23(3), pages 317-325.
    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. Qiuyu Wang & Zhiqi Gong & Chengkui Liu, 2022. "Risk Network Evaluation of Prefabricated Building Projects in Underdeveloped Areas: A Case Study in Qinghai," Sustainability, MDPI, vol. 14(10), pages 1-26, May.
    2. Kangning Liu & Yikun Su & Shoujian Zhang, 2018. "Evaluating Supplier Management Maturity in Prefabricated Construction Project-Survey Analysis in China," Sustainability, MDPI, vol. 10(9), pages 1-21, August.

    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. Hemanta Doloi, 2009. "Relational partnerships: the importance of communication, trust and confidence and joint risk management in achieving project success," Construction Management and Economics, Taylor & Francis Journals, vol. 27(11), pages 1099-1109.
    2. Thyssen, Jesper & Israelsen, Poul & Jorgensen, Brian, 2006. "Activity-based costing as a method for assessing the economics of modularization--A case study and beyond," International Journal of Production Economics, Elsevier, vol. 103(1), pages 252-270, September.
    3. Nepal, Bimal & Lassan, Gregg & Drow, Baba & Chelst, Kenneth, 2009. "A set-covering model for optimizing selection of portfolio of microcontrollers in an automotive supplier company," European Journal of Operational Research, Elsevier, vol. 193(1), pages 272-281, February.
    4. Johnson, Michael D. & Kirchain, Randolph E., 2009. "Quantifying the effects of product family decisions on material selection: A process-based costing approach," International Journal of Production Economics, Elsevier, vol. 120(2), pages 653-668, August.
    5. Wallace J. Hopp & Xiaowei Xu, 2005. "Product Line Selection and Pricing with Modularity in Design," Manufacturing & Service Operations Management, INFORMS, vol. 7(3), pages 172-187, August.
    6. Lyons, Andrew Charles & Um, Juneho & Sharifi, Hossein, 2020. "Product variety, customisation and business process performance: A mixed-methods approach to understanding their relationships," International Journal of Production Economics, Elsevier, vol. 221(C).
    7. Panos Constantinides & Ola Henfridsson & Geoffrey G. Parker, 2018. "Introduction—Platforms and Infrastructures in the Digital Age," Information Systems Research, INFORMS, vol. 29(2), pages 381-400, June.
    8. Kai-Lung Hui, 2004. "Product Variety Under Brand Influence: An Empirical Investigation of Personal Computer Demand," Management Science, INFORMS, vol. 50(5), pages 686-700, May.
    9. DeCampos, Hugo A. & Rosales, Claudia R. & Narayanan, Sriram, 2022. "Supply chain horizontal complexity and the moderating impact of inventory turns: A study of the automotive component industry," International Journal of Production Economics, Elsevier, vol. 245(C).
    10. Gautam, Naveen & Singh, Nanua, 2008. "Lean product development: Maximizing the customer perceived value through design change (redesign)," International Journal of Production Economics, Elsevier, vol. 114(1), pages 313-332, July.
    11. Carolyn D. Egelman & Dennis Epple & Linda Argote & Erica R.H. Fuchs, 2013. "Learning by Doing in a Multi-Product Manufacturing Environment: Product Variety, Customizations, and Overlapping Product Generations," NBER Working Papers 19674, National Bureau of Economic Research, Inc.
    12. Marshall Fisher, 2007. "Strengthening the Empirical Base of Operations Management," Manufacturing & Service Operations Management, INFORMS, vol. 9(4), pages 368-382, December.
    13. Wong, Hartanto & Lesmono, Dharma & Chhajed, Dilip & Kim, Kilsun, 2019. "On the evaluation of commonality strategy in product line design: The effect of valuation change and distribution channel structure," Omega, Elsevier, vol. 83(C), pages 14-25.
    14. Jing-Sheng Song & Yao Zhao, 2009. "The Value of Component Commonality in a Dynamic Inventory System with Lead Times," Manufacturing & Service Operations Management, INFORMS, vol. 11(3), pages 493-508, March.
    15. Rafael Becerril-Arreola, 2020. "Estimating Demand with Substitution and Intraline Price Spillovers," Manufacturing & Service Operations Management, INFORMS, vol. 22(3), pages 598-614, May.
    16. Kamalini Ramdas & Mohanbir S. Sawhney, 2001. "A Cross-Functional Approach to Evaluating Multiple Line Extensions for Assembled Products," Management Science, INFORMS, vol. 47(1), pages 22-36, January.
    17. Stadtherr, Frank & Wouters, Marc, 2021. "Extending target costing to include targets for R&D costs and production investments for a modular product portfolio—A case study," International Journal of Production Economics, Elsevier, vol. 231(C).
    18. Brun, Alessandro & Capra, Eugenio & Miragliotta, Giovanni, 2009. "VRP revisited: The impact of behavioural costs in balancing standardisation and variety," International Journal of Production Economics, Elsevier, vol. 117(1), pages 16-29, January.
    19. Roland Attila Csizmazia, 2014. "Reconfiguration of Supply Chain at Volkswagen Group to Develop Global," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 4(12), pages 294-305, December.
    20. Kartik Kalaignanam & Tarun Kushwaha & Anand Nair, 2017. "The Product Quality Impact of Aligning Buyer-Supplier Network Structure and Product Architecture: an Empirical Investigation in the Automobile Industry," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 4(1), pages 1-17, September.

    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:jfr:jms111:v:8:y:2017:i:1:p:1-9. 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: Jenny Zhang (email available below). General contact details of provider: http://jms.sciedupress.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.