Applying claim reduction criteria in selecting efficient contractors with the two-step grey data envelopment analysis approach

IF 3.2 3区 工程技术 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Hamid Asnaashari, Abbas Sheikh Aboumasoudi, M. Mozaffari, M. Feylizadeh
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引用次数: 0

Abstract

PurposeThe application of correct contractor selection strategies leads to the selection of a qualified contractor and, as a result, the on-time delivery of the project with the desired quality and within the predetermined budgetary constraints. For this reason, evaluating and qualifying contractors before reviewing the proposed prices has been considered an important issue. One factor that disrupts the project completion process and the failure to achieve pre-planned goals effectively is the occurrence of contractors' disputes and claims in projects. To this end, the present study explores claim-reduction strategies for selecting effective contractors in an uncertain environment to reduce possible problems.Design/methodology/approachThe two-step grey data envelopment analysis (GDEA) approach was used to measure efficiency as a powerful tool in selecting efficient contractors during tenders. This approach can extend the applications of multi-criteria decision-making (MCDM) models. In other words, given some uncertainties, the unavailability of some data, and the problems with the DEA model, the two-step GDEA model was used to rank the contractors. The data confirmed the satisfactory outcomes from the selected model.FindingsThe preliminary assessment of contractors is a pre-tendering process and a step in categorizing contractors, excluding contractors lacking required qualifications, and selecting efficient contractors. At first, it will help the employer to exclude inexperienced and unqualified contractors, save resources and time, reduce threats, replace opportunities with threats, and reduce material and non-material costs during the completion of the project until the projects are put into operation. Consequently, this approach reduces claims to a minimum level and increases the organization's effective material and non-material profit.Originality/valueOil and gas plans and projects have a significant, sensitive, and decisive role in the economic, social, political, cultural, infrastructural, and all-round development of Iran; This is while most of the financial resources needed to implement the development and programs across the country come from oil revenues. Studies have indicated that despite the importance of these plans and projects, many of them are not completed successfully, and this causes irreparable losses to the country's economy and development in various fields.HighlightThe findings of this study can be used by organizations to select more effective contractors to assign projects and plans to them.The preliminary assessment of contractors is a pre-tendering process and a step in categorizing contractors, excluding contractors who lack required qualifications, and finally selecting efficient contractors.At first, it will help the employer to exclude inexperienced and unqualified contractors, save resources and time, reduce threats, replace opportunities with threats, and reduce material and non-material costs during the completion of the project until the projects are put into operation.This approach also gives credit to the employer during the execution period and contributes to assessing unqualified contractors and reducing the temptation to hand over the project to an unqualified contractor but with a lower bid price.Consequently, this approach reduces claims to a minimum level and increases the effective material and non-material profit of the organization.Moreover, it provides an extra-organizational evaluation for contractors, motivating them to upgrade their capabilities and optimally allocate material and non-material resources, especially human resources.
应用两步灰色数据包络分析法,将索赔减少准则应用于高效承包商的选择
目的应用正确的承包商选择策略,可以选择合格的承包商,从而在预定的预算限制范围内以期望的质量按时交付项目。因此,在审查提议的价格之前对承包商进行评估并使其合格被认为是一个重要的问题。项目中承包商纠纷和索赔的发生是影响项目完成过程和未能有效实现预定目标的一个因素。为此,本研究探讨在不确定环境中选择有效承包商的减少索赔策略,以减少可能出现的问题。设计/方法/方法采用两步灰色数据包络分析(GDEA)方法来衡量效率,作为在投标过程中选择高效承包商的有力工具。该方法可以扩展多准则决策模型的应用。换句话说,考虑到一些不确定性,一些数据的不可获得性,以及DEA模型的问题,我们使用两步GDEA模型对承包商进行排名。数据证实了所选模型的满意结果。对承包商的初步评估是一个招标前的过程,也是对承包商进行分类的一个步骤,排除缺乏必要资格的承包商,选择效率高的承包商。首先,它将帮助发包方排除没有经验和不合格的承包商,节省资源和时间,减少威胁,以威胁取代机会,降低项目完成期间的材料和非材料成本,直到项目投入运营。因此,这种方法将索赔减少到最低水平,并增加了组织的有效物质和非物质利润。石油和天然气计划和项目在伊朗的经济、社会、政治、文化、基础设施和全面发展中具有重要、敏感和决定性的作用;而在全国范围内实施发展和项目所需的大部分财政资源都来自石油收入。研究表明,尽管这些计划和项目很重要,但其中许多计划和项目并没有顺利完成,这给国家经济和各个领域的发展造成了无法弥补的损失。本研究的发现可以被组织用来选择更有效的承包商来分配项目和计划给他们。对承包商的初步评估是招标前的一个过程,是对承包商进行分类的一个步骤,排除不具备所需资格的承包商,最后选择效率高的承包商。首先,它将帮助发包方排除没有经验和不合格的承包商,节省资源和时间,减少威胁,以威胁取代机会,降低项目完成期间的材料和非材料成本,直到项目投入运营。这种方法还在执行期间给予雇主信用,有助于评估不合格的承包商,并减少将项目交给不合格承包商但出价较低的诱惑。因此,这种方法将索赔减少到最低水平,并增加组织的有效物质和非物质利润。此外,它为承包商提供了一个组织外的评价,激励他们提升自己的能力,优化分配物质和非物质资源,特别是人力资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Grey Systems-Theory and Application
Grey Systems-Theory and Application MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-
CiteScore
4.80
自引率
13.80%
发文量
22
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