Integrating value estimation and simulation for contractor selection

Lee, Hsin-Yun; Shiue, Fang-Jye; Zheng, Meng-Cong; Chang, Yu‐Cheng

doi:10.1016/j.autcon.2020.103340

Cited by 12 publications

(4 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In addition, Chen et al [6] propose a novel ELECTRE III-based approach capable of adequately considering the indetermination, imprecision, and uncertainty in the contractor evaluation and selection process. In order to select the most valuable contractor, Lee et al [22] present a value estimation approach using the service dominant logic capable of selecting the best contractor by considering the changes in value at both the construction and operational stages. Mahmoudi et al [23] develop an approach to evaluate the qualifications of subcontractors using the ordinal priority approach (OPA) method for performance assessment.…”

Section: Literature Reviewmentioning

confidence: 99%

A DEA Game Cross-Efficiency Model with Loss Aversion for Contractor Selection

Huang,

Zhou,

Deng

2024

Mathematics

View full text Add to dashboard Cite

Evaluating and selecting appropriate contractors is critical to the success of specific construction projects in the building industry. Existing approaches for addressing this problem are unsatisfactory due to the ignorance of the multi-dimensional nature of the evaluation process and inappropriate consideration of existent risks. This study presents a DEA game cross-efficiency model with loss aversion for evaluating and selecting specific contractors. The competitiveness of the evaluation process is modeled using game theory with respect to the adoption of the cross-efficiency model. The attitude of the decision maker toward risks is tackled with the use of loss aversion, which is a phenomenon formalized in prospect theory. As a result, the proposed approach can adequately screen available contractors through prequalification and adequately consider the attitude of the decision maker toward risks, leading to effective decisions being made. An example is presented to demonstrate the applicability of the proposed model in evaluating and selecting appropriate contractors for specific construction projects. The results show that the proposed model is effective and efficient in producing a unique solution for contractor selection through appropriate modeling of the multi-dimensional contractor selection process and adequate consideration of the competition between the contractors and the attitude of the decision maker toward risks in practical situations.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

A DEA Game Cross-Efficiency Model with Loss Aversion for Contractor Selection

Huang,

Zhou,

Deng

2024

Mathematics

View full text Add to dashboard Cite

show abstract

“…Tujuan diadakannya untuk memperoleh pemenang tender yang memiliki kompetensi yang handal. Owner akan membentuk panitia lelang yang bertugas mengevaluasi peserta lelang untuk memperoleh pemenang yang memenuhi syarat mampu bekerja, serta paham dengan pekerjaan yang akan dilaksanakan (Peli et al, 2020) Evaluasi dan pemilihan kontraktor adalah hal yang sulit dan tugas yang menantang dengan banyak ketidakpastian (Lee et al, 2020). Ini adalah sebuah masalah keputusan multiatribut yang kompleks yang membutuhkan individu untuk membuat penilaian dan trade-off antara tujuan bersaing dan sumber daya yang terbatas.…”

Section: Pendahuluanunclassified

Identifikasi Faktor yang Berpengaruh terhadap Penentuan Pemenang Lelang Jasa Konstruksi

Nurhayati

Agus

2023

jts

View full text Add to dashboard Cite

Pelaksanaan proyek konstruksi banyak melibatkan berbagai pihak dalam hal interaksi dan koordinasi. Agar keinginan pemilik dapat terealisasi maka pemilik akan memilih kontraktor yang berkualifikasi untuk melakukan pembangunan melalui sebuah proses pelelangan. Ada beberapa faktor yang berpengaruh untuk dapat memenangkan sebuah pelelangan. Penelitian ini bertujuan untuk mengetahui faktor-faktor yang mempengaruhi pemenang lelang jasa konstruksi pada proyek pemerintah Kabupaten Buton yang melingkupi tiga (3) proyek pada Dinas Pekerjaan Umum & Tata Ruang, Dinas Pendidikan serta Dinas Perhubungan. Objek penelitian dari ketiga dinas tersebut yaitu berupa proyek gedung. Kuisioner diberikan kepada para kontraktor kemudian data dianalisis menggunakan SPSS yaitu analisis regresi, uji model, uji F, uji T dan autokorelasi. Dari hasil analisis diperoleh tiga (3) faktor dominan yang mempengaruhi pemenang lelang jasa konstruksi yaitu pekerjaan yang disubkan (X2), hubungan baik antara owner dan kontraktor (X26) dan sistem komunikasi di proyek (X35).

show abstract

“…The model provides support to the owner in determining contract packages that will further allow the bidders to offer the lowest price. SIMUL8, a simulation software (Lee et al, 2020), is used as the simulation engine to simulate behavior among actors and resources.…”

Section: Simulation For Biddingmentioning

confidence: 99%

An estimation model of construction project segmentation for optimum project pricing

Shiue

Lee

Zheng

et al. 2020

ECAM

Self Cite

View full text Add to dashboard Cite

PurposeFor large projects, project segmentation and planning the size of contract packages in construction bids is a complex and critical issue. Due to the nature of construction projects, which frequently have large budgets, long durations and many activities with complex procedures, project segmentation involves complicated decision-making. To fill this gap, this study aims to develop an integrated model for planning project segmentation.Design/methodology/approachThe proposed model integrates a simulation and multiple attribute decision-making method. The simulation is used to evaluate the bidding outcome of various project segmentations. The owner can then determine the bid-price behavior of contractors in response to varying work package sizes. The multiple attribute decision-making method is used to select the optimal segmentation solution from the simulated scenarios.FindingsThe proposed model is applied to a large road preservation project in Indonesia and incorporates bid participants and market conditions. The model provides seven scenarios for segmentation. The range of scenarios captures increasing competitiveness in the construction with the average bid price becoming gradually more beneficial for the owner. The model also utilizes a multiple attribute decision-making method to select the optimum scenario for the owner.Originality/valueThis study presents an applicable model for project segmentation that is useful for both project owners and contractors. By utilizing the proposed model, a project owner can segment a large project into smaller contract packages to create improved project pricing.

show abstract

Integrating value estimation and simulation for contractor selection

Cited by 12 publications

References 36 publications

A DEA Game Cross-Efficiency Model with Loss Aversion for Contractor Selection

A DEA Game Cross-Efficiency Model with Loss Aversion for Contractor Selection

Identifikasi Faktor yang Berpengaruh terhadap Penentuan Pemenang Lelang Jasa Konstruksi

An estimation model of construction project segmentation for optimum project pricing

Contact Info

Product

Resources

About