The quality management in precast concrete production and delivery processes supported by association analysis

2019 ◽  
Vol 17 (1) ◽  
pp. 577-590
Author(s):  
A. Nicał ◽  
H. Anysz
Keyword(s):  
Quality Management ◽  
Association Analysis ◽  
Precast Concrete ◽  
Concrete Production

Optimizing profit and logistics for precast concrete production

2017 ◽  
Vol 44 (6) ◽  
pp. 393-406 ◽  
Author(s):  
Jieh-Haur Chen ◽  
Shangyao Yan ◽  
Hsing-Wei Tai ◽  
Chao-Yu Chang
Keyword(s):  
Decision Making ◽  
Precast Concrete ◽  
Proposed Model ◽  
Concrete Production ◽  
Human Decision ◽  
National Production ◽  
And Performance ◽  
Corporate Profits ◽  
The Mathematical Model ◽  
Depth Interviews

This study serves as a practical model for optimizing production planning, allocation of precast component storage, and transportation sites as well as for making timely adjustments for contracted projects. To ensure that the structure of the research model is reasonable and matches actual applications, the study uses a field survey to directly observe the largest precast concrete plants in Taiwan for a period of 6 months, followed by in-depth interviews with experts involved with the planning, design, installation, and manufacturing for precast projects. The mathematical model is then established and evaluated using the data containing over 90% of national production in Taiwan. The results show that the tested corporate profits increase by an impressive 38.4% and performance is significantly increased by 97.75%. The proposed model can not only make up for oversights in human decision-making but improve the decision-making process boosting corporate competitiveness.

scholarly journals Development of Concrete Mixture Design Process Using MCDM Approach for Sustainable Concrete Quality Management

2020 ◽  
Vol 12 (19) ◽  
pp. 8110
Author(s):  
Mohd. Ahmed ◽  
Javed Mallick ◽  
Saeed AlQadhi ◽  
Nabil Ben Kahla
Keyword(s):  
Quality Management ◽  
Design Process ◽  
Design Procedure ◽  
Mixture Design ◽  
Design Methods ◽  
Concrete Mixture ◽  
Sustainable Concrete ◽  
Concrete Production ◽  
Concrete Mix ◽  
Concrete Quality

The development of a concrete mixture design process for high-quality concrete production with sustainable values is a complex process because of the multiple required properties at the green/hardened state of concrete and the interdependency of concrete mixture parameters. A new multicriteria decision making (MCDM) technique based on Technique of Order Preference Similarity to the Ideal Solution (TOPSIS) methodology is applied to a fuzzy setting for the selection of concrete mix factors and concrete mixture design methods with the aim towards sustainable concrete quality management. Three objective properties for sustainable quality concrete are adopted as criteria in the proposed MCDM model. The seven most dominant concrete mixture parameters with consideration to sustainable concrete quality issues, i.e., environmental (density, durability) and socioeconomic criteria (cost, optimum mixture ingredients ratios), are proposed as sub-criteria. Three mixture design techniques that have potentiality to include sustainable aspects in their design procedure, two advanced and one conventional concrete mixture design method, are taken as alternatives in the MCDM model. The proposed selection support framework may be utilized in updating concrete design methods for sustainability and in deciding the most dominant concrete mix factors that can provide sustainable quality management in concrete production as well as in concrete construction. The concrete mix factors found to be most influential to produce sustainable concrete quality include the water/cement ratio and density. The outcomes of the proposed MCDM model of fuzzy TOPSIS are consistent with the published literature and theory. The DOE method was found to be more suitable in sustainable concrete quality management considering its applicable objective quality properties and concrete mix factors.

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