Quantifying the complexity of transportation projects using the fuzzy analytic hierarchy process

Nguyen, Anh‐Dung; Nguyen, Long D.; Le‐Hoai, Long; Dang, Chau Ngoc

doi:10.1016/j.ijproman.2015.02.007

Cited by 114 publications

(98 citation statements)

References 38 publications

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“…In this research, Analytic Hierarchy Process (AHP) (Saaty 1980) has been used for this purpose. It is a widely used method for criteria weighting not only used in construction projects (Lee 2015;Nguyen et al 2015;Plebankiewicz, Kubek 2015;Polat 2015;Wang et al 2016), but also in other branches. It is an easily implemented method that can detect and even unite the inconsistent data assessed by different experts (Wang et al 2016).…”

Section: Determining the Criteria Weightsmentioning

confidence: 99%

A model of discrete zero-sum two-person matrix games with grey numbers to solve dispute resolution problems in construction

Khanzadi

Turskis

Amiri

et al. 2017

Journal of Civil Engineering and Management

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Abstract. Conflict between parties is a common issue in construction projects. In the present article, the conflicts between contractor and employer in delayed Design-Bid-Build projects have been studied. Defining a case study, a dispute resolution method has been proposed. This case has been considered as a MCDM problem. This problem has been assumed as a discrete zero-sum two-person matrix game with grey numbers. Among the four alternatives available for contractor and employer in the proposed case study, termination is the last alternative that decision makers choose. Based on different risk values, authors determined the optimal solution for both parties. This article integrates some linguistic criteria together with time and cost, providing the better conditions to avoid lengthy bargaining.

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Section: Determining the Criteria Weightsmentioning

confidence: 99%

A model of discrete zero-sum two-person matrix games with grey numbers to solve dispute resolution problems in construction

Khanzadi

Turskis

Amiri

et al. 2017

Journal of Civil Engineering and Management

View full text Add to dashboard Cite

show abstract

“…Extant literature has subsequently reclassified technological complexity as technical complexity after further investigation of project complexity constructs (Bosch-Rekveldt et al 2011;Floricel et al 2016;Remington & Pollack 2007;Nguyen et al 2015). This construct consists of:…”

Section: Technical Complexitymentioning

confidence: 99%

“…Newness of technology and experience with technology are two experience features which must be consider (Baccarini 1996;Bosch-Rekveldt et al 2011;Dunović et al 2014;Geraldi & Adlbrecht 2007;Nguyen et al 2015;Tatikonda 1999;Thomé et al 2016;Vidal & Marle 2008). …”

Section: Literature Source Organisational Complexity Technical Complementioning

confidence: 99%

“…interference with existing site, weather conditions, remoteness of location and experience in country (Bosch-Rekveldt et al 2011;El-Rayes & Moselhi 2001;Floricel et al 2016;Nguyen et al 2015;Sohi et al 2016;Yang, Huang & Hsu 2014). • Market conditions: Market conditions play internal and external influencing roles in projects.…”

Section: Environmental Complexitymentioning

confidence: 99%

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Conceptualising a multidimensional model of information communication and technology project complexity

Joseph

2017

S. Afr. j. inf. manag.

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Background: Information communication and technology (ICT) projects are different from other projects, such as construction, and require a new perspective to determine their true nature. The lacklustre state of ICT projects has plagued researchers and practitioners for decades as they are yet to understand why ICT projects do not perform. Literature places significant emphasis on success criteria and success factors for determining project success, but this is a unilateral view as the level of complexity involved is underestimated. ICT projects, however, are multifaceted as there are a number of dimensions that influence the management and outcome of a project.Objectives: This article aimed to illuminate how the dimensions are interdependent and interconnected through the construction of a conceptual model of ICT project complexity.Methods: Content analysis was used to identify and understand the various dimensions and facilitated construction of the model.Results: The article identified five dimensions that affect ICT projects, viz. project success, project lifecycle, project complexity, project types and project methods. Each dimension was analysed to understand the key constructs and elements that need to be considered. The dimensions were mapped in a multidimensional model.Conclusion: The multidimensional model of ICT project complexity can be used by ICT project managers to more effectively manage projects as they are provided with a greater understanding of ICT project influences.

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“…[15] Nguyen et al used the fuzzy analytic hierarchy process to quantify project complexity. [16] The approach of Wang et al integrated entropy calculation and network theory in order to measure the complexity of organizations. [17] Qureshi and Kang analyzed the interrelations between complexity drivers using structural equation modeling.…”

Section: Introductionmentioning

confidence: 99%

Approach to Evaluate Complexity in New Product Development Projects

Schuh

Riesener

Mattern

2017

WIT Transactions on State-of-the-Art in Science and Engineering

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Manufacturing companies respond to the customers' demand for more individualized products and enhanced functionality by increasing product variety and integrating multiple technologies in their products. Consequently, complexity in new product development (NPD) projects increases as more and more interdependencies and framework conditions have to be considered. A systematic evaluation of the parameters that drive the complexity of an NPD project prior to project kick-off would enable project management to identify critical issues up-front and adjust the project setup accordingly. There are several recent studies that analyze project complexity and identify complexity drivers. However, there is still a lack of a holistic approach that helps project managers to analyze the complexity of NPD projects and at the same time derive specific measures in order to adjust project complexity. This paper presents an approach for complexity evaluation of NPD projects during project preparation. The approach is based on complexity drivers that have been determined through literature research, classified according to their impact on the complexity of NPD projects and influenceability by project management as well as on the analysis in terms of their interdependencies. Through individual assessment of the complexity drivers and through portfolio analysis, the focal points of complexity in an NPD project can be identified. Measures to level complexity according to the company's positioning can be derived from studying the portfolio of complexity drivers taking into account their impact on first order interactions between complexity drivers.

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Quantifying the complexity of transportation projects using the fuzzy analytic hierarchy process

Cited by 114 publications

References 38 publications

A model of discrete zero-sum two-person matrix games with grey numbers to solve dispute resolution problems in construction

A model of discrete zero-sum two-person matrix games with grey numbers to solve dispute resolution problems in construction

Conceptualising a multidimensional model of information communication and technology project complexity

Approach to Evaluate Complexity in New Product Development Projects

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