• 대한수학회논문집
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• 제11권1호
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• pp.117-129
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• 1996

In this paper, some existence theorem of solutins for nonlinear operator equations with probabilistic contractor in probabilistic normed spaces are given.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2018년도 춘계 학술논문 발표대회
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• pp.122-123
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• 2018

Recently, CM at Risk delivery system(CM@R) that could solve the problems of Design Bid Build delivery(DBB) system has been emerging. In the CM@R delivery system, the contractor negotiates for a maximum guaranteed price(GMP) with the client at the design stage, and the contractor carries out the construction within the GMP. In CM @ R, the construction company with expertise in construction participates from the design stage to reflects the construction know-how in the design. On the other hand, the modification design frequently occurs due to the change of the construction cost when negotiating the GMP. In addition, uncertainties are inherent in the GMP calculation because the calculation is based on unfinished drawings and documents. This study proposes a probabilistic GMP estimation method applying MCS to the BIM - based cost prediction model, in order to extract the accurate quantity information when estimating the GMP and to cope with the change of the construction cost inherent in uncertainty.

• 한국건축시공학회지
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• 제18권3호
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• pp.295-303
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• 2018

현재 DBB 발주방식에서는 설계단계와 시공단계가 분리되어 있어, 잦은 설계변경이 발생하고 있다. 아울러 공사비초과, 공기지연 및 품질저하를 야기하는 문제점들을 초래하고 있다. 최근에 발주자의 다양한 요구, 제한적인 예산 및 공기 등의 제약조건에 대응할 수 있는 발주방식인 CM@R 발주방식이 대두되고 있다. CM@R 발주방식에서는 설계단계에서 발주자와 협의하여 GMP를 정하고, GMP 내에서 CM수행자가 책임을 지고 공사를 수행하는 방식이다. 그러나 CM@R 특성상 완성되지 않은 도서를 기준으로 GMP를 산정하기 때문에 불확실성이 내재되어 있다. 본 연구에서는 GMP 산정시 불확실성을 고려하기 위하여, CBR를 이용한 공사비 예측 및 MCS를 적용한 확률론적 초기 GMP 산정방안을 제시하였으며, 초기 GMP 산정 이후 사업진행에 따라 GMP 협의를 수행할 수 있는 프로세스를 제시하였다. 사례연구 및 검증을 통하여 확률론적 초기 GMP 산정방안을 검증하였다. 본 연구에서는 제시된 확률론적 GMP 산정방안을 통하여 GMP의 범위를 설정하고 발주자와 CM수행자가 협의을 통해 리스크를 줄임으로써, CM@R의 성공적인 국내 도입에 일조하고자 하였다.

• 국제학술발표논문집
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• The 5th International Conference on Construction Engineering and Project Management
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• pp.338-343
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• 2013

Integrated Project Delivery (IPD) as a delivery method fully capitalizes on an integrated project team that takes advantage of the knowledge of all team members to maximize project outcomes. IPD is currently the highest form of collaboration available because all three core project stakeholders, owner, designer and contractor, are aligned to the same purpose. Compared with traditional project delivery approaches such as Design-Bid-Build (DBB), Design-Build (DB), and CM at-Risk, IPD is distinguished in that it eliminates the adversarial nature of the business by encouraging transparency, open communication, honesty and collaboration among all project stakeholders. The team appropriately shares the project risk and reward. Sharing reward is easy, while it is hard to fairly share a failure. So the compensation structure and the contingency in IPD are very different from those in traditional delivery methods and they are expected to encourage motivation, inspiration and creativity of all project stakeholders to achieve project success. This paper investigates the compensation structure in IPD and provides a method to determine the proper level of contingency allocation to reduce the risk of cost overrun. It also proposes a method in which contingency could be used as a functional monetary incentive when established to produce the desired level of collaboration in IPD. Based on the compensation structure scenario discovered, a probabilistic contingency calculation model was created by evaluating the random nature of changes and various risk drivers. The model can be used by the IPD team to forecast the probability of the cost overrun and equip the IPD team with confidence to really enjoy the benefits of collaborative team work.