Modeling bidding competitiveness and position performance in multi-attribute construction auctions

Ballesteros‐Pérez, Pablo; Campo-Hitschfeld, Maria Luisa del; Mora-Meliá, Daniel; Domínguez, David

doi:10.1016/j.orp.2015.02.001

Cited by 27 publications

(20 citation statements)

References 35 publications

(53 reference statements)

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“…In recent years, more and more researchers have studied the MAGDM problems because of its good practicability (Ballesteros-Pérez, Campo-Hitschfeld, Mora-Melià, & Domínguez, 2015;Schubert et al, 2015;Pramanik, S., Pramanik, S., & Giri, 2016…”

Section: A New Approach To Magdmmentioning

confidence: 99%

Multi-Attribute Group Decision Making Based on Hesitant Fuzzy Sets, Topsis Method and Fuzzy Preference Relations

Lan

Yang

et al. 2018

Technological and Economic Development of Economy

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Hesitant fuzzy sets (HFSs) are widely applied in pattern recognition, classification, clustering, and multiple attribute decision making. In order to get more accurate decision results, the order relation of HFSs is particularly important. In this paper, some defects of the existing order relations for HFSs are discussed. In order to solve these problems, by employing a distance measure and the TOPSIS method, we propose a new order relation extraction method based on a new additive consistency fuzzy preference relation for hesitant fuzzy elements (HFEs). Then, the proposed additive consistency fuzzy preference relation is applied to integrate group decision information. In multi-attribute group decision making (MAGDM), it is particularly important to ensure the consensus of the decision-makers (DMs), and the consistency of the decision process is the precondition for DMs to reach consensus. The proposed method can maintain the consistency of the decision process for MAGDM under hesitant fuzzy environments, so as to get the consensus of DMs, besides, it can overcome the limitations of the existing order relations for HFSs. At the end of this paper, a numerical example is used to illustrate the effectiveness and feasibility of the new approach, and some comparative analyses are given. The obtained results confirm the theoretical and numerical analyses and emphasize the advantages, which can ensure the consistency of the whole decision process and avoid the original decision information change and loss of the proposed method, so as to be more in line with the actual situation.

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Section: A New Approach To Magdmmentioning

confidence: 99%

Multi-Attribute Group Decision Making Based on Hesitant Fuzzy Sets, Topsis Method and Fuzzy Preference Relations

Lan

Yang

et al. 2018

Technological and Economic Development of Economy

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“…Activities in all projects, construction projects included, suffer from some degree of duration variability [18,19]. Projects are unique, which means that, even when contractors have extensive experience, subsequent projects may differ regarding clients, contract type, location, regulations, labor, equipment, subcontractors, stakeholders, and weather [20].…”

Section: Introductionmentioning

confidence: 99%

Forecasting the Project Duration Average and Standard Deviation from Deterministic Schedule Information

et al. 2020

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Most construction managers use deterministic scheduling techniques to plan construction projects and estimate their duration. However, deterministic techniques are known to underestimate the project duration. Alternative methods, such as Stochastic Network Analysis, have rarely been adopted in practical contexts as they are commonly computer-intensive, require extensive historical information, have limited contextual/local validity and/or require skills most practitioners have not been trained for. In this paper, we propose some mathematical expressions to approximate the average and the standard deviation of a project duration from basic deterministic schedule information. The expressions’ performance is successfully tested in a 4100-network dataset with varied activity durations and activity durations variability. Calculations are quite straightforward and can be implemented manually. Furthermore, unlike the Project Evaluation and Review Technique (PERT), they allow drawing inferences about the probability of project duration in the presence of several critical and subcritical paths with minimal additional calculation.

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“…Generally, the lowest price is recommended when the focus of the project, technical specifications, and bill of quantities are well-defined (Dini et al 2006) or when the risk of corruption is too high (Shan et al 2015). On the other hand, a weighted multiple criteria approach is used when the evaluation requires a number of criteria other than price to be considered and balanced in order to ensure best value for money (Scott 2006); these auctions are often called multi-attribute or multidimensional (Ballesteros-Pérez et al 2015c). The need for weighting and scoring economic criteria or price-related factors (e.g., life-cycle costs, cost of maintenance, or decommission costs) along with technical criteria (e.g., compliance, time, availability, or quality) is because they are part of a mathematical expression that determines (theoretically) the best return on investment of the procurement of goods, works or services for the owner (Asker, Cantillon 2010).…”

Section: Introductionmentioning

confidence: 99%

Factors Affecting Contractor’s Bidding Success for International Infrastructure Projects in Australia

Aznar

Pellicer

Davis

et al. 2017

Journal of Civil Engineering and Management

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Abstract. This paper examines the effects of different factors on the success or failure of bids for infrastructure projects in Australia. Logistic regression analysis was used to empirically determine which factors have the largest effect on bidding success. Data was collected from 123 bids submitted by several infrastructure companies with subsidiaries in Australia. The analysis found that having a competitive advantage and a local partner, and also not competing against a local company were the most important factors; as they significantly increase the chances of success. However, four other factors, having relevant expertise, resource availability, a previous relationship with the client, and a previous relationship with consortium members, are 'essential' to be able to compete; as the absence of any of these four factors results in bid failure, although having them is not a guarantee of success. Results of this paper provide valuable information for any company considering the opportunity of entering into Australia's infrastructure market as well as for companies that are already present in that country and are considering whether to bid for a specific project.

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Modeling bidding competitiveness and position performance in multi-attribute construction auctions

Cited by 27 publications

References 35 publications

Multi-Attribute Group Decision Making Based on Hesitant Fuzzy Sets, Topsis Method and Fuzzy Preference Relations

Multi-Attribute Group Decision Making Based on Hesitant Fuzzy Sets, Topsis Method and Fuzzy Preference Relations

Forecasting the Project Duration Average and Standard Deviation from Deterministic Schedule Information

Factors Affecting Contractor’s Bidding Success for International Infrastructure Projects in Australia

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