Selection of Key Management Targets for Claim Causes through Relational Analysis on the Causes of Change Order Claims

  • Min, Kwang-Ho (Dept. of Architectural Engineering, Univ. of Seoul) ;
  • Ko, Gun-Ho (Dept. of Architectural Engineering, Univ. of Seoul) ;
  • Jin, Chengquan (Dept. of Architectural Engineering, Univ. of Seoul) ;
  • Hyun, Chang-Taek (Dept. of Architectural Engineering, Univ. of Seoul) ;
  • Han, Sang-Won (Dept. of Architectural Engineering, Univ. of Seoul)
  • Published : 2017.10.27

Abstract

As various stakeholders are involved in construction projects, disputes between the parties are more likely to occur, which is a very important issue for the participants in the projects. Claims in construction projects, however, are very complex and thus difficult to manage. In particular, as the cause of a claim in the preceding stage that has not been resolved in a timely manner has an effect on the cause of a claim in the following stage, it is difficult to find a point of compromise regarding a claim caused by the relationship between the causes that occur in the preceding and following stages. In this regard, this study sought to examine the rules for the generation of change order claims, which occur most frequently among the construction claims, and thus to select the key management targets through the analysis of the relationship between the causes of claims arising in the preceding and following stages for the efficient management of claims. It is expected that the use of rules for the generation of change order claims as well as of representative and similar cases will help the construction practitioners in judging claims, considering the relationships among the causes of the claims. Meanwhile, in this study, association analysis was conducted regarding the causes of the occurrence of change order claims in a design-build delivery method, and therefore, it is necessary to verify the effectiveness of the method when applied to other delivery methods.

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Acknowledgement

This research was supported by a grant(17RTRP-B104237-03) from Railway Technology Research Project funded by the Korea Agency for Infrastructure Technology Advancement. Also, this research was supported by Brain Korea 21 PLUS Program funded by National Research Foundation of Korea.