Decision support system for optimum soft clay improvement technique for highway construction projects

Mahdi, Ibrahim M.; Ebid, Ahmed M.; Khallaf, Rana

doi:10.1016/j.asej.2019.08.007

Cited by 25 publications

(15 citation statements)

References 11 publications

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“…Moreover, AHP is designed to deal with both tangible and intangible criteria. In addition, the consistency test in AHP is used to ensure that the judgment made is consistent and AHP has the flexibility to be integrated with other models [31].…”

Section: Figure 2 Types Of Decision-making Model For Vendor Selectionmentioning

confidence: 99%

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Supply Chain Management of Outsourcing Module Components Decision-Making using Analytical Hierarchy Process and Visual Basic Application in Automotive Body-in-White Welding Assembly Line

Fudzin

Mokhtar

Muhammad

2022

Int. J. Automot. Mech. Eng.

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Supply Chain Management (SCM) has gained the attention of business organizations as it affects corporate efficiency and competitive advantage. Component outsourcing is an important element of SCM practices and is considered to be a multi-criteria decision-making problem (MCDM) in vendor selection processes. However, decision-making on the selection of vendors is crucial, as the outsourcing program is influenced by multiple technical and commercial criteria of vendors. Developing an Excel-based Analytic Hierarchy Process (AHP) model for vendor selection therefore helps to simplify selection processes. In this paper, a Visual Basic Application (VBA) Excel-based AHP model was developed, which multiple criteria, sub-criteria and vendors and simultaneously compared with multiple main criteria, sub-criteria and alternatives for vendor selection. The model was validated with a case study of selecting a vendor for module components of body-in-white (BIW) in automotive industry as industrial application. As a result, vendor A is the best vendor since it has the highest overall score of 0.35206. Whereas vendor B is 0.239, vendor C is 0.126, vendor D is 0.146 and vendor E 0.135. In addition, the model is capable of resolving other MCDM problems. This paper provides resources such as AHP methodology, validating method and VBA code programming to readers in developing their own VBA Excel-based model.

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Section: Figure 2 Types Of Decision-making Model For Vendor Selectionmentioning

confidence: 99%

“…Random indexes (RI) have been approximated by Saaty for various matrix sizes, m, as shown in Table2[31]. Random indexes.…”

mentioning

confidence: 99%

Supply Chain Management of Outsourcing Module Components Decision-Making using Analytical Hierarchy Process and Visual Basic Application in Automotive Body-in-White Welding Assembly Line

Fudzin

Mokhtar

Muhammad

2022

Int. J. Automot. Mech. Eng.

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“…The results showed that the Hoseinabad area was a suitable place for constructing a subsurface dam. A decision support system was proposed by Mahdi et al [66] to select the optimal method for soft clay improvement. In the proposed approach, the value engineering (VE) method was combined with AHP.…”

Section: Related Studies On Mcdmmentioning

confidence: 99%

A New Decision-Making Approach Based on Fermatean Fuzzy Sets and WASPAS for Green Construction Supplier Evaluation

et al. 2020

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The construction industry is an important industry because of its effects on different aspects of human life experiences and circumstances. Environmental concerns have been considered in designing and planning processes of construction supply chains in the recent past. One of the most crucial problems in managing supply chains is the process of evaluation and selection of green suppliers. This process can be categorized as a multi-criteria decision-making (MCDM) problem. The aim of this study is to propose a novel and efficient methodology for evaluation of green construction suppliers with uncertain information. The framework of the proposed methodology is based on weighted aggregated sum product assessment (WASPAS) and the simple multi-attribute rating technique (SMART), and Fermatean fuzzy sets (FFSs) are used to deal with uncertainty of information. The methodology was applied to a green supplier evaluation and selection in the construction industry. Fifteen suppliers were chosen to be evaluated with respect to seven criteria including “estimated cost”, “delivery efficiency”, “product flexibility”, “reputation and management level”, “eco-design”, and “green image pollution”. Sensitivity and comparative analyses were also conducted to assess the efficiency and validity of the proposed methodology. The analyses showed that the results of the proposed methodology were stable and also congruent with those of some existing methods.

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“…In management literature, performance measurement is seen as a forerunner to performance management because management follows measurement after suitable assessments (Mahdi et al, 2020). There are many definitions of Performance Measurement 51 Engineering Management in Production and Services (PM), but we refer to two in this research that describe PM as "the process of quantifying the efficiency and effectiveness of an action" (Ogbeifun, 2018).…”

Section: Leadershipmentioning

confidence: 99%

Managing inter-departmental project delivery to enhance customer satisfaction

Cosa

Ogbeifun

Pretorius

2021

Engineering Management in Production and Services

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The National Department of Public Works and Infrastructure (NDPWI), an agency for infrastructure development in South Africa, provides accommodation and other infrastructure to various public service departments. Each department communicates its infrastructure requirements with the NDPWI. However, there are usually time lags between project briefing and the actual delivery of the infrastructure. Therefore, this article aims to explore the causes of delays and offer solutions to enhance customer satisfaction. The case study method of qualitative research was adopted. Data were collected from the NDPWI regional offices in Bloemfontein, Cape Town and Kimberley, and the professional service department at the head office in Pretoria, among purposively selected participants not below the deputy director level. The Delphi technique was used as an instrument for data collection and complemented during a focus group session. The findings revealed that the major factors contributing to delays included poor planning by the project execution team (PET), ineffective project monitoring and overcentralisation of the decision-making process. The findings, conclusions and recommendations of this research provide useful information for organisational restructuring, the training and continuous retraining of project personnel, especially the project managers. These steps hold the potential for ameliorating the negative effects of delay in the execution of construction projects by the NDPWI.

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Decision support system for optimum soft clay improvement technique for highway construction projects

Cited by 25 publications

References 11 publications

Supply Chain Management of Outsourcing Module Components Decision-Making using Analytical Hierarchy Process and Visual Basic Application in Automotive Body-in-White Welding Assembly Line

Supply Chain Management of Outsourcing Module Components Decision-Making using Analytical Hierarchy Process and Visual Basic Application in Automotive Body-in-White Welding Assembly Line

A New Decision-Making Approach Based on Fermatean Fuzzy Sets and WASPAS for Green Construction Supplier Evaluation

Managing inter-departmental project delivery to enhance customer satisfaction

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