IDEAS home Printed from https://ideas.repec.org/a/wly/jnddns/v2016y2016i1n4643630.html

Bidding Strategy to Support Decision‐Making Based on Comprehensive Information in Construction Projects

Author

Listed:
  • Ru Liang
  • Zhaohan Sheng
  • Feng Xu
  • Changzhi Wu

Abstract

This paper develops a unified method to support contractor for bidding selection in construction projects. A cross‐functional contractor with 28 candidate units distributed in the three departments (construction units, design units, and suppliers) is used as an example. This problem is first formulated as a 0‐1 quadratic programming problem through optimizing individual performance and collaborative performance of the candidate units based on individual information and collaborative information. Then, a multiobjective evolutionary algorithm is designed to solve this problem and a bidding selection problem for a major bridge project is used to demonstrate our proposed method. The results show that the decision‐maker (DM) obtains a better contractor if he pays more attention to collaborative performance.

Suggested Citation

  • Ru Liang & Zhaohan Sheng & Feng Xu & Changzhi Wu, 2016. "Bidding Strategy to Support Decision‐Making Based on Comprehensive Information in Construction Projects," Discrete Dynamics in Nature and Society, John Wiley & Sons, vol. 2016(1).
    • Handle: RePEc:wly:jnddns:v:2016:y:2016:i:1:n:4643630
    DOI: 10.1155/2016/4643630
    as

    Download full text from publisher

    File URL: https://doi.org/10.1155/2016/4643630
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2016/4643630?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. M. Wanous & A. H. Boussabaine & J. Lewis, 2000. "To bid or not to bid: a parametric solution," Construction Management and Economics, Taylor & Francis Journals, vol. 18(4), pages 457-466.
    2. Eddie W. L. Cheng & Heng Li, 2004. "Contractor selection using the analytic network process," Construction Management and Economics, Taylor & Francis Journals, vol. 22(10), pages 1021-1032, December.
    3. Sandy D. Jap & Prasad A. Naik, 2008. "BidAnalyzer: A Method for Estimation and Selection of Dynamic Bidding Models," Marketing Science, INFORMS, vol. 27(6), pages 949-960, 11-12.
    4. Demirtas, Ezgi Aktar & Üstün, Özden, 2008. "An integrated multiobjective decision making process for supplier selection and order allocation," Omega, Elsevier, vol. 36(1), pages 76-90, February.
    Full references (including those not matched with items on IDEAS)

    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. Osman, Hany & Demirli, Kudret, 2010. "A bilinear goal programming model and a modified Benders decomposition algorithm for supply chain reconfiguration and supplier selection," International Journal of Production Economics, Elsevier, vol. 124(1), pages 97-105, March.
    2. Ghadimi, Pezhman & Ghassemi Toosi, Farshad & Heavey, Cathal, 2018. "A multi-agent systems approach for sustainable supplier selection and order allocation in a partnership supply chain," European Journal of Operational Research, Elsevier, vol. 269(1), pages 286-301.
    3. Kim, Ju-Young & Brünner, Tobias & Skiera, Bernd & Natter, Martin, 2014. "A comparison of different pay-per-bid auction formats," International Journal of Research in Marketing, Elsevier, vol. 31(4), pages 368-379.
    4. Jason Shachat & Lijia Wei, 2012. "Procuring Commodities: First-Price Sealed-Bid or English Auctions?," Marketing Science, INFORMS, vol. 31(2), pages 317-333, March.
    5. J Aznar & J Ferrís-Oñate & F Guijarro, 2010. "An ANP framework for property pricing combining quantitative and qualitative attributes," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(5), pages 740-755, May.
    6. Cheng-Hua Yang & Huei-Ju Chen & Li-Chu Lin & Alastair M. Morrison, 2020. "The Analysis of Critical Success Factors for In-Town Check-In in Taiwan," Sustainability, MDPI, vol. 13(1), pages 1-20, December.
    7. Kannan Govindan & R. Sivakumar, 2016. "Green supplier selection and order allocation in a low-carbon paper industry: integrated multi-criteria heterogeneous decision-making and multi-objective linear programming approaches," Annals of Operations Research, Springer, vol. 238(1), pages 243-276, March.
    8. Ernan Haruvy & Meisam Hejazi Nia & Özalp Özer & A. Serdar Şimşek, 2023. "The Winner’s Curse in Dynamic Forecasting of Auction Data: Empirical Evidence from eBay," Manufacturing & Service Operations Management, INFORMS, vol. 25(3), pages 1155-1175, May.
    9. repec:wyi:journl:002158 is not listed on IDEAS
    10. Li, Haitao & Womer, Keith, 2012. "Optimizing the supply chain configuration for make-to-order manufacturing," European Journal of Operational Research, Elsevier, vol. 221(1), pages 118-128.
    11. Cortés-Aldana, Félix Antonio & García-Melón, Mónica & Fernández-de-Lucio, Ignacio & Aragonés-Beltrán, Pablo & Poveda-Bautista, Rocío, 2009. "University objectives and socioeconomic results: A multicriteria measuring of alignment," European Journal of Operational Research, Elsevier, vol. 199(3), pages 811-822, December.
    12. Hasan Dinçer & Ozlem Olgu Akdeniz & Umit Hacioglu, 2018. "Competitive strategy selection in the European banking sector using a hybrid decision-making approach," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 36(1), pages 213-242.
    13. Arsham, Hossein & Adlakha, Veena & Lev, Benjamin, 2009. "A simplified algebraic method for system of linear inequalities with LP applications," Omega, Elsevier, vol. 37(4), pages 876-882, August.
    14. Ustun, Ozden & DemI[dot above]rtas, Ezgi Aktar, 2008. "An integrated multi-objective decision-making process for multi-period lot-sizing with supplier selection," Omega, Elsevier, vol. 36(4), pages 509-521, August.
    15. Kirytopoulos, Konstantinos & Voulgaridou, Dimitra & Platis, Agapios & Leopoulos, Vrassidas, 2011. "An effective Markov based approach for calculating the Limit Matrix in the analytic network process," European Journal of Operational Research, Elsevier, vol. 214(1), pages 85-90, October.
    16. Ren Tan & Kairong Hong, 2021. "Research on Extreme Dispute Decisions of Large-Scale Engineering Projects from the Perspective of Multidimensional Preferences," Mathematics, MDPI, vol. 9(22), pages 1-24, November.
    17. Muhammad Umer Zubair & Osama Farid & Muhammad Usman Hassan & Taha Aziz & Sameer Ud-Din, 2024. "Framework for Strategic Selection of Maintenance Contractors," Sustainability, MDPI, vol. 16(6), pages 1-20, March.
    18. Huang, Min & Qian, Xiaohu & Fang, Shu-Cherng & Wang, Xingwei, 2016. "Winner determination for risk aversion buyers in multi-attribute reverse auction," Omega, Elsevier, vol. 59(PB), pages 184-200.
    19. Jalao, Eugene Rex & Wu, Teresa & Shunk, Dan, 2014. "An intelligent decomposition of pairwise comparison matrices for large-scale decisions," European Journal of Operational Research, Elsevier, vol. 238(1), pages 270-280.
    20. Martin Ekstrom & Hans Bjornsson & Clifford Nass, 2003. "Accounting for rater credibility when evaluating AEC subcontractors," Construction Management and Economics, Taylor & Francis Journals, vol. 21(2), pages 197-208.
    21. Venkataraghavan Krishnaswamy & R. P. Sundarraj, 2017. "Organizational implications of a comprehensive approach for cloud-storage sourcing," Information Systems Frontiers, Springer, vol. 19(1), pages 57-73, February.

    More about this item

    Statistics

    Access and download statistics

    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:wly:jnddns:v:2016:y:2016:i:1:n:4643630. 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: Wiley Content Delivery (email available below). General contact details of provider: https://onlinelibrary.wiley.com/journal/3059 .

    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.