scholarly journals Verification of the building materials production process mathematical model

2021 ◽  
Vol 1030 ◽  
pp. 012009
Author(s):  
Olga Vasil’eva
Keyword(s):  
Mathematical Model ◽  
Production Process ◽  
Building Materials

On the Application of Anti-Seismic & Waste-Recyclable Foamed Concrete Cast-in-Place Wall in Architecture

2013 ◽  
Vol 671-674 ◽  
pp. 1524-1527
Author(s):  
Hui Fen Hu
Keyword(s):  
Production Process ◽  
Building Materials ◽  
Low Intensity ◽  
Industry Standards ◽  
Foamed Concrete

Characterized by the strengths of earthquake proof and waste utilizing, the foamed concrete cast-in-place wall, one of the newest building materials, have been widely used in the architectures within the earthquake-prone areas. This paper conducts research into the problems of the foamed concrete cast-in-place wall during its application such as defective industry standards, low intensity, poor producing condition, etc. Then it analyzes countermeasures that could be taken to promote the development of the foamed concrete cast-in-place wall including completing relevant systems, improving intensity by altering additives, perfecting production process and improving production equipments, etc.

An economic production model with imperfect quality components and probabilistic lead times

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abdul-Nasser El-Kassar ◽  
Alessio Ishizaka ◽  
Yama Temouri ◽  
Abdullah Al Sagheer ◽  
Daicy Vaz
Keyword(s):  
Mathematical Model ◽  
Production Process ◽  
Production Cycle ◽  
Lead Times ◽  
Screening Process ◽  
Content Type ◽  
Imperfect Quality ◽  
Reorder Point ◽  
Production Run ◽  
Practical Implications

PurposeThis study investigates a production process that requires N kinds of components for the production of a finished product. The producer orders the various kinds of components from different suppliers and receives the orders in lots at the beginning of each production cycle. Similar to situations often encountered in real life, the lead times are random variables with known probability distributions so that a production cycle starts whenever all N kinds of components become available. Each of the lots received at the start of a production run contains both perfect and imperfect quality components. Once all N kinds of components become available, the producer initiates a screening process to detect the imperfect components. The production of the finished product uses only perfect quality components. The imperfect components are removed from inventory whenever the screening process is completed. The percentage of components of perfect quality present in each lot is a random variable with a known probability distribution.Design/methodology/approachThis production process is described and modeled mathematically and the optimal production/ordering policy is derived based on the mathematical model.FindingsThe formulated mathematical model resulted in the determination of the optimal policy consisting of the optimal number of finished items ordered to be produce during each production run, the number of components ordered from each supplier, and the reorder point. The derived closed form expression for the optimal lot size depends on the minimum of the number of perfect quality components in a lot, whereas the reorder point is determined based on the maximum lead time.Practical implicationsThe modeling approach and results of this study provide practical implications that may be beneficial to both production and supply chain managers as well as researchers.Originality/valueThis modeling approach that incorporates decision-making related to the logistics of acquiring the components and accounts for the probabilistic nature of the lead times and quality of components addresses a gap in the logistics/production literature.

Analysis Quantitatively of the Quality of Solidified Waste Matrices with the Ratio of Binder to Waste

2011 ◽  
Vol 243-249 ◽  
pp. 2469-2472
Author(s):  
Yue Xiang Wang ◽  
Ying Liao
Keyword(s):  
Mathematical Model ◽  
Statistical Analysis ◽  
Building Materials ◽  
Strength Gain ◽  
Experiment Data ◽  
Strength Behavior ◽  
Solidified Waste ◽  
Stone Material ◽  
Material Powder

To understand the strength behavior of solidified waste matrices as building materials, sewage sludge as a kind of municipal solid waste had been solidified/stabilized by a binder constituted of Portland cement and stone material powder. Based on the experiment data, a mathematical model relating the strength gain of solidified sludge matrices to the ratio of binder to waste is proposed by statistical analysis. The proposed method is then verified with available test data.

Construction Enterprise Material Stocks Management Economic and Mathematical Model Creating

2018 ◽  
Vol 7 (3.2) ◽  
pp. 160
Author(s):  
Yuriy Kharchenko ◽  
. .
Keyword(s):  
Mathematical Model ◽  
Building Materials ◽  
Financial Resources ◽  
Optimal Size ◽  
Stock Management ◽  
Construction Enterprise ◽  
Construction Enterprises ◽  
Modern Economic ◽  
Formation System ◽  
Usage Efficiency

Material stock management modern economic and mathematical models   are studied. Materials stock formation system at one of Poltava construction enterprises was analyzed by the author. It is proposed to use a deterministic and probabilistic model for determining the optimal size and time of placing an order depending on the group of building materials. It will increase financial resources usage        efficiency to hold stocks and increase construction enterprise profit.  

scholarly journals Mathematical Model for Human Resources Planning in the Production Process

2021 ◽  
pp. 0004-0009
Author(s):  
Aleksandra Kostic ◽  
Bogdan Maric ◽  
Melisa Kustura ◽  
Valentina Timotic
Keyword(s):  
Mathematical Model ◽  
Human Resources ◽  
Production Process ◽  
Human Resources Planning ◽  
Resources Planning

An efficient mathematical model for a generalized production process

2015 ◽  
Author(s):  
Wei Weng ◽  
Cheng Chen ◽  
Gang Rong ◽  
Shigeru Fujimura
Keyword(s):  
Mathematical Model ◽  
Production Process

Mathematical model of the eroding effect on the surface morphology of Compressed Earth Bricks

2021 ◽  
Vol 9 (3) ◽  
pp. 245-249
Keyword(s):  
Mathematical Model ◽  
Fractal Dimension ◽  
Surface Morphology ◽  
Stochastic Modeling ◽  
Solid Surface ◽  
Fractal Geometry ◽  
Building Materials ◽  
Euclidean Geometry ◽  
Modeling Techniques

A solid-surface morphology has a rough character that prevents it from being described by Euclidean geometry; fractal geometry is plausible. From considering that the deposition of particles and their detachment significantly influences roughness, an expression based on stochastic modeling techniques was obtained to predict the fractal dimension of a surface based on the dynamics of the processes that occur in it. The model obtained was used to characterize whether fiber in building materials made of poured earth influences the surface's morphology and the effects of erosion

Mathematical Model for Yarn Unwinding Part Ι: Cylindrical Packages

2011 ◽  
Vol 403-408 ◽  
pp. 5131-5135
Author(s):  
Stanislav Praček ◽  
Franci Sluga ◽  
Klemen Možina
Keyword(s):  
Mathematical Model ◽  
Angular Velocity ◽  
Production Process ◽  
Computer Modeling ◽  
Optimal Shape ◽  
Apex Angle ◽  
Centrifugal Forces ◽  
Textile Production ◽  
Winding Angle

Stability of the yarn unwinding directly affects the efficiency of the textile production process and the quality of the final product. A package with an optimal shape will result in an optimal shape of the balloon. In addition, the yarn tension will be small and steady even at high unwinding velocity. Computer modeling is a valuable tool in the search for the optimal package shape. We demonstrate a mathematical model for simulating the unwinding from cylindrical and conic packages. We show how the winding angle and the apex angle influence the angular velocity of the yarn during the unwinding. Since the centrifugal forces on the yarn in the balloon depend on the angular velocity, this velocity has a large influence on the tension that we wish to reduce.

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