Selecting a Contractor by Using a Novel Method forMultiple Attribute Analysis: Weighted Aggregated SumProduct Assessment with Grey Values (WASPAS-G)

Abstract

Selecting the right contractor in construction industry is an important problem for an organization while the competition in global markets increases. Evaluating contractors' performance is a multiple attribute decision making process consisting of vagueness and imprecision. It is based on a set of hardly exact measurable attributes: capability and skills, occupational health and safety, technical capacity, managerial capability, bid amount, past performance and experience, financial soundness. The goals and interests of the stakeholders should be taken into consideration when selecting the attributes and their importance for the evaluation of contractors. In this context, the paper presents a novel method based on multiple attribute Weighted Aggregated Sum Product Assessment with the grey attributes scores -WASPAS-G method. The proposed method was applied in a case study of evaluation and selection of a right construction contractor, which has to be the most appropriate to stakeholders. The proposed technique, due to its capabilities of handling imprecise information because of applied grey relations and capabilities of providing decisions of enhanced accuracy when aggregating two methods, could also be used to sustain the ranking of development strategies, selecting the most effective investment or management decisions.

Methods Dealing with Complexity in Selecting Joint Venture Contractors for Large‐Scale Infrastructure Projects

“…On the basis of the distances from the candidate joint venter contractors to the PIS and NIS, the close coefficients of each alternative can be calculated as CC 1 = 0.691, CC 2 = 0.653, and CC 3 = 0.602 through Formula (9). According to the bidimensional index information and Formulas (13) and (14), ranking the indices of bidimensional attributes can be calculated as 1 = 0.662, 2 = 0.451, and 3 = 0.415. According to of bidimensional attributes, the candidate joint venter contractor 1 should be chosen.…”

“…There are a number of existing tools and methods formulated to evaluate and select joint venture contractors, including the multiattribute analysis such as Zavadskas et al [14] and multiattribute utility theory (especially among "earlier" studies in the field), along with several interpretations of artificial neural networks (ANN) [15], multivariate discriminant analysis [16], fuzzy theory [17], and analytical hierarchy process (AHP) [18]. Researchers Zavadskas et al [14] used the multiattribute method to assess and select contractors by specifically developing a model that takes into account all attributes affecting construction efficiency.…”

“…Researchers Zavadskas et al [14] used the multiattribute method to assess and select contractors by specifically developing a model that takes into account all attributes affecting construction efficiency. The ANP-Monte Carlo simulated model proposed by El-Abbasy et al [19] is a novel approach where multiattribute is considered to select the best contractor for highway projects.…”

A Novel Rough WASPAS Approach for Supplier Selection in a Company Manufacturing PVC Carpentry Products

“…Zavadskas et al in 2015 [24] developed a new WASPAS-G which is a combination of the classic WASPAS method with grey values, while Keshavarz Ghorabaee et al in 2016 [25] developed a WASPAS method with interval type-2 fuzzy sets to evaluate and select suppliers in the green supply chain. The same approach is combined with the CRiteria Importance Through Inter-criteria Correlation (CRITIC) method used for a third-party logistics (3PL) provider in [26].…”

Garage location selection for residential house by WASPAS-SVNS method

“…The first extension of the original crisp WASPAS method (Chakraborty et al 2015) that is constructed under interval-valued intuitionistic fuzzy set environment was performed by Zavadskas et al (2014). Recently, a novel multiple attribute Weighted Sum-Product Assessment method with the gray attributes scores, namely WASPAS-G, was proposed in Zavadskas et al (2015a). Turskis et al (2015) proposed a fuzzy multi-attribute performance measurement (MAPM) framework, which incorporates the application of the novel Weighted Aggregated Sum-Product Assessment method with Fuzzy values (WASPAS-F) and Analytical Hierarchy Process (AHP).…”