Evaluating the Relative Performance of Engineering Design Projects: A Case Study Using Data Envelopment Analysis

Farris, Jennifer A.; Groesbeck, Richard L.; Aken, Eileen M. Van; Letens, Geert

doi:10.1109/tem.2006.878100

Cited by 78 publications

(39 citation statements)

References 59 publications

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“…According to the approach described in [12] the first step in elaborating specific project measurement is defining the company's success factors. The problem of measuring project success is not easy one [13]. For design and build project the problem becomes even more difficult [14] and for multi-project companies defining the success factors is very complicated problem [15] .…”

Section: Success Factors and Selection Of Measuresmentioning

confidence: 99%

Earned value method as a tool of controlling complex engineering projects

Titarenko

Titov

2017

MATEC Web Conf.

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Abstract. This paper discusses the difficulty of controlling complex engineering projects with the help of the traditional control tools such as earned value method. The main problem with the controlling engineering projects is that the environment and scope of these projects are various from project to project and the project performance measurement system should adapt and flexibly reflect the variability of the engineering project scope and context. The article is based on the case study of the Russian engineering company that is needed a more flexible project performance measurement system. After the consideration of the limitations of the existing performance measurement methods and tools the authors elaborate the suggestion to improve the adaptability of the traditional earned value method which leads to better control of the engineering projects.

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Section: Success Factors and Selection Of Measuresmentioning

confidence: 99%

Earned value method as a tool of controlling complex engineering projects

Titarenko

Titov

2017

MATEC Web Conf.

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“…DEA can overcome the paradigm of project uniqueness by providing organizations with a method of accounting for differences in project input characteristics when measuring performance across projects (Farris et al, 2006). DEA creates comparisons groups by utilizing projects with similar input characteristics and comparing the performance of each project to its most similar peers.…”

Section: Evaluating the Success Of Projects With Deamentioning

confidence: 99%

“…DEA creates comparisons groups by utilizing projects with similar input characteristics and comparing the performance of each project to its most similar peers. DEA doesn't require that all projects combine inputs exactly the same way to produce outputs, thus allowing the flexibility necessary for the analysis of a complex task (Farris et al, 2006).…”

Section: Evaluating the Success Of Projects With Deamentioning

confidence: 99%

“…Paradi et al (2002) stated DMUs as engineering teams and used DEA in the evaluation of technical and allocative efficiency of engineering teams. Farris et al (2006) used DEA as a tool in the evaluation of the projects in an engineering department. Linton et al (2007) determined that DEA can be used in evaluation, prioritization of the projects in research and development department.…”

Section: Evaluating the Success Of Projects With Deamentioning

confidence: 99%

“…They determined inputs and outputs values for 20 hypothetical projects (Kumar et al, 2007). Farris et al (2006) presume that engineering projects show constant returns to scale. Cao and Hoffman (2011) assumed that diseconomies of scale might exist for many input variables, for instance, increasing projects staffing beyond a certain level may yield diminishing returns in project duration, due to congestion.…”

Section: Evaluating the Success Of Projects With Deamentioning

confidence: 99%

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Evaluation of the Success of Six Sigma Projects by Data Envelopment Analysis

Yüksel¹

2012

IJBM

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Six sigma provides a methodology for problem solving by using project management tools systematically. The primary aim of six sigma applications is minimizing defects. Minimizing defects will ensure the outputs and customers' satisfaction increase and the costs decrease. However, the number of the firms that state that they couldn't get the results from six sigma programs as they expected is not few. The main reason for failure of six sigma programs is not to balance the costs with gains of six sigma projects. So, evaluating the performance of six sigma projects is an important issue for the firms that apply six sigma programs.In this paper, data envelopment analysis was used to evaluate the performance of six sigma projects which is stated as critical success factor for six sigma programs. Data envelopment analysis which is based on linear programming helps to determine the efficient and inefficient decision making units by comparing the relative efficiencies of decision making units. Recently, there are some papers in the literature which apply data envelopment analysis for evaluating the performance of R&D and software projects. There are also some papers which discuss the application of data envelopment analysis in the selection of six sigma projects. However evaluating the performance of six sigma projects with data envelopment analysis was not discussed comprehensively in the literature. This paper is original by showing that data envelopment analysis which can be used in evaluating the performance of organizations can also be used for evaluating the performance of six sigma projects. The application of data envelopment analysis for evaluating the performance of six sigma projects was shown by a case study.

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Stakeholder perception on corporate reputation and management efficiency: Evidence from the Spanish Defence sector

Solana-Ibáñez¹,

Caravaca-Garratón²,

Teruel‐Sánchez³

2020

Corp Soc Responsibility Env

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This article examines the relationship between the concepts of efficiency and corporate social responsibility (CSR). The main aim is to discuss if CSR policy has an effective influence which leads to a high degree of technical efficiency. Accordingly, the image projected to society should be strengthened. Under this scenario, an equivalent level of confidence in the public sector should be expected. Otherwise public decision‐makers should reformulate their SR strategy, since the impact would not only be economic but would also lead to a negative externality in relation to the image that the sector projects to society. Accordingly, a case study for the Defence sector in Spain is part of this article. Given a set of discretionary variables, the Spanish Defence Delegations efficiency for the 2015–2017 period is assessed by means of data envelopment analysis technique. A bootstrap procedure is used to eliminate the bias of the estimates and obtain a robust ranking. The results show that efficient management does not have the expected positive effect on the Army's corporate reputation as measured by the image perceived by the stakeholders. Implications for practice and limitations of this study conclude the article.

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Evaluating the Relative Performance of Engineering Design Projects: A Case Study Using Data Envelopment Analysis

Cited by 78 publications

References 59 publications

Earned value method as a tool of controlling complex engineering projects

Earned value method as a tool of controlling complex engineering projects

Evaluation of the Success of Six Sigma Projects by Data Envelopment Analysis

Stakeholder perception on corporate reputation and management efficiency: Evidence from the Spanish Defence sector

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