A software prototype for material handling equipment selection for construction sites

Prasad, Kanika; Zavadskas, Edmundas Kazimieras; Chakraborty, Shankar

doi:10.1016/j.autcon.2015.06.001

Cited by 26 publications

(19 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Regarding issues of reliability in the building industry, sensitivity analysis is a significant part of reliability analysis of geotechnical tasks (Marčić et al 2013), masonry systems (Sousa et al 2015), concrete structures (Yang 2007), and steel structures (Kala 2011b;Kamiński, Świta 2014). Sensitivity analysis can be also a significant component of multicriteria decision-making techniques for sustainable building assessment (Siozinyte, Antucheviciene 2013;Prasad et al 2015;Antucheviciene et al 2015).…”

Section: Sensitivity Analysismentioning

confidence: 99%

Global Sensitivity Analysis in Stability Problems of Steel Frame Structures

Kala

2016

Journal of Civil Engineering and Management

View full text Add to dashboard Cite

Slender steel frame structures are characterised by a number of imperfections which may reduce their load carrying capacity drastically. This article studies the effects of these imperfections on the load carrying capacity of a single storey steel plane frame using global sensitivity analysis and geometrically nonlinear (second-order) elastic finite element analysis. Imperfections are considered as random variables. Statistical load carrying capacities needed for the evaluation of sensitivity analysis are processed using classical statistical methods upon the emulation of Latin Hypercube Sampling simulation methods. The main interaction effects of random imperfections on the load carrying capacity are identified using global sensitivity analysis. It is illustrated that the effects of imperfections on the load carrying capacity varies dramatically depending on the height of the columns and the boundary conditions of the end conditions of the columns.

show abstract

Section: Sensitivity Analysismentioning

confidence: 99%

Global Sensitivity Analysis in Stability Problems of Steel Frame Structures

Kala

2016

Journal of Civil Engineering and Management

View full text Add to dashboard Cite

show abstract

“…Unlike other approaches which focus more on engineering capabilities and less on customers' needs, QFD concentrates all product development activities on customers' needs. QFD method employs a robust matrix, commonly known as house of quality (HOQ) matrix for documentation of the necessary information and perceptions about the product [24]. The HOQ matrix also depicts the relationships between customers' needs and technical requirements of the considered product.…”

Section: Development Of a Qfd-based Model Formentioning

confidence: 99%

A Quality Function Deployment-Based Model for Cutting Fluid Selection

Prasad

Chakraborty

2016

Advances in Tribology

Self Cite

View full text Add to dashboard Cite

Cutting fluid is applied for numerous reasons while machining a workpiece, like increasing tool life, minimizing workpiece thermal deformation, enhancing surface finish, flushing away chips from cutting surface, and so on. Hence, choosing a proper cutting fluid for a specific machining application becomes important for enhanced efficiency and effectiveness of a manufacturing process. Cutting fluid selection is a complex procedure as the decision depends on many complicated interactions, including work material’s machinability, rigorousness of operation, cutting tool material, metallurgical, chemical, and human compatibility, reliability and stability of fluid, and cost. In this paper, a decision making model is developed based on quality function deployment technique with a view to respond to the complex character of cutting fluid selection problem and facilitate judicious selection of cutting fluid from a comprehensive list of available alternatives. In the first example, HD-CUTSOL is recognized as the most suitable cutting fluid for drilling holes in titanium alloy with tungsten carbide tool and in the second example, for performing honing operation on stainless steel alloy with cubic boron nitride tool, CF5 emerges out as the best honing fluid. Implementation of this model would result in cost reduction through decreased manpower requirement, enhanced workforce efficiency, and efficient information exploitation.

show abstract

“…Massive equipment usage has recently begun as a result of the need to complete building projects as soon as possible; however, effective equipment planning, budgeting, optimization, and use of emerging modelling techniques are woefully inadequate. Construction equipment preparation and scheduling must be carefully considered, because improper on-site equipment affects not only the operation or the overall project duration, but also the project cost [8] in the current trend, innovations in the construction sector can be demonstrated by the availability of a diverse range of specialised equipment on the market, each with a unique design feature, making it difficult to select suitable equipment with advantageous characteristics from a diverse range of alternatives available [9]. The SEM is a multivariate statistical technique for analysing the relationships in a model between latent variables (causes of delay) and observed variables (effects of delay) [10].…”

Section: Introductionmentioning

confidence: 99%

Structural Equation Modelling (SEM) Approach On Inappropriate Construction Equipment Delay Factors

Indhu

Yogeswari

2021

Civ Eng J

View full text Add to dashboard Cite

The advancement of construction equipment is a trend in the construction industry, with numerous benefits. However, using inappropriate construction equipment causes delays in construction projects, affecting the firm's reputation. A number of research studies on overall delay have been conducted globally. Even so, there is a lack of research on construction delays caused by inappropriate construction equipment. The aim of this paper is to investigate the inappropriate construction equipment delay factors and their effects on the firm's reputation. Based on the issues identified in the focus group interviews and the literature survey, a questionnaire survey was conducted to assess the impact of these factors on the progress of Indian construction projects. The primary constraint was that all 300 responses were collected in person from construction professionals to avoid lethargic responses that could skew the results. Pearson correlation coefficients were used to determine the positive strength of each factor's relationship. A t-test was used to see if there was a significant difference between the respondents' firm categories. Structural Equation Modeling (SEM) was used to validate the effective relationship between the causes of delays due to inappropriate construction equipment and its impact on company's reputation. All of the factors examined by the SEM analysis evidenced that the inappropriate construction equipment factors are correlated among themselves and combined to impact the reputation of the company. Recommendations are made to overcome the inappropriate equipment delay factors. Doi: 10.28991/cej-2021-03091717 Full Text: PDF

show abstract

A software prototype for material handling equipment selection for construction sites

Cited by 26 publications

References 43 publications

Global Sensitivity Analysis in Stability Problems of Steel Frame Structures

Global Sensitivity Analysis in Stability Problems of Steel Frame Structures

A Quality Function Deployment-Based Model for Cutting Fluid Selection

Structural Equation Modelling (SEM) Approach On Inappropriate Construction Equipment Delay Factors

Contact Info

Product

Resources

About