Optimized material management in construction using multi-layer perceptron

2019 ◽  
Vol 46 (10) ◽  
pp. 909-923
Author(s):  
Farzaneh Golkhoo ◽  
Osama Moselhi
Keyword(s):  
Genetic Algorithm ◽  
Construction Material ◽  
Construction Materials ◽  
Multi Layer Perceptron ◽  
Material Management ◽  
Control Material ◽  
Automated Method ◽  
Purchase Cost ◽  
Trade Offs ◽  
Material Management System

Construction material represents a major component of the project cost. Therefore, it is essential to control material on construction job sites. Efficient material management system requires trade-offs and optimized balance among elements of material cost including purchase cost, storage cost, opportunity cost, ordering cost, and unavailability cost. Thus, there is a need to develop an automated method for optimizing the delivery and inventory of construction materials not only in the planning phase but also in the construction phase to account for introduced changes. In this research a novel genetic algorithm – multi-layer perceptron (GA-MLP) method is proposed to generate optimized material delivery schedule. Multi-layer perceptron (MLP) is utilized to improve genetic algorithm (GA) by generating memory to overcome local minima encountered in applying GA for optimization. This automated method supports contractors to buy construction materials with the least cost and without leading to material shortage or surplus. The proposed automated method has been validated through a numerical example. The obtained results demonstrate that GA-MLP outperform GA in optimizing construction material inventory.

scholarly journals Design and Implementation of Construction Material Management Scheme Based on RFID Technology

1970 ◽  
Vol 1 (1) ◽  
Author(s):  
Dan Xin
Keyword(s):  
Management System ◽  
Construction Material ◽  
Construction Materials ◽  
Development Trend ◽  
Rfid Technology ◽  
Material Management ◽  
Design And Implementation ◽  
Management Scheme ◽  
Material Management System ◽  
Commercial Center

With the improvement of construction demand and the reduction of land price, the construction of all kinds of buildings has become the current development trend in addition to the need for housing. Whether it is a large commercial center, office or landmark building, its construction materials in addition to enhancing the performance, but also to build an automated and effective material management system. This paper studies the design and implementation of the construction material management scheme based on RFID technology, hoping to improve the management system and improve the management efficiency through the application of RFID technology.

scholarly journals Evaluation of Construction Materials Cost Reduction Measures in Building Industry in Imo State, Nigeria

2021 ◽  
pp. 102-111
Author(s):  
Uche Felix Ikechukwu
Keyword(s):  
Quality Assurance ◽  
Cost Reduction ◽  
Building Materials ◽  
Design Method ◽  
Construction Material ◽  
Construction Materials ◽  
Rank Correlation ◽  
Material Management ◽  
The Impact ◽  
Local Sourcing

Cost reduction measure on construction materials is very critical in the effectiveness of any construction material management. Negligence on this frustrates the integrated effort deployed in cost control of any building project. As the study aims at assessing the impact of some building material cost reduction strategies with regard to their sourcing, applications and designs for affordable houses, field survey research design method and activity sampling involving some of the major building materials were adopted. Data were analyzed using some non parametric tools like likert scale and chi-square to rank the level of effectiveness of the various materials’ cost reduction measures in the industry. It was also used to determine the impact level of the material management on the overall cost of the materials used in the construction of public building in Owerri. Spearman rank correlation coefficient was also used to examine the strength of relationship between the two major sources of the information.  Findings in the study reveal that local sourcing of materials is the most significant method of material management in cost reduction. Other methods in their order of significance for cost reduction are quality assurance, economic design and specification, and on-site production of materials. The various percentage cost effects however are found to be significantly dependent on the methods of material management adopted for the materials’ cost reduction in the study. It is therefore recommended that an effective legislative back-up be instituted with a very strong awareness on the need for robust development of local construction material resources, as well as advocate for more practical contact hours on the stressed areas in the appropriate curriculum of the building profession in all the tertiary institutions in Nigeria. Finally, appropriate checklist/indices for check-mating quality assurance on professional personnel and materials schedules; as well as enforcement of ‘buildability’ and maintainability analyses of building projects should be encouraged in the study area.

scholarly journals Construction Material Management through Inventory Control Techniques

2018 ◽  
Vol 7 (3.12) ◽  
pp. 899
Author(s):  
V RathinaKumar ◽  
K Lalitha Priya ◽  
Prasanna Kumar.I ◽  
C Ravekumar
Keyword(s):  
Inventory Control ◽  
Inventory Management ◽  
Construction Material ◽  
Construction Materials ◽  
Curve Analysis ◽  
Total Expenditure ◽  
Material Management ◽  
Control Techniques ◽  
Abc Classification ◽  
S Curve

Objectives: A research has shown that the construction materials account for more than 55%-60% of the total expenditure of a project. Efficient material planning plays a major role in the successful handing over of a project within the estimated cost and schedule. Methods: This paper mainly focuses on materials planning and inventory control as these are the major aspects of material management. S-curve analysis is performed to measure the fluctuation between estimated materials cost and market materials cost. The major reasons for this are identified by interviewing engineers and contractors. Inventory control techniques such as ABC classification as well as EOQ analysis are conducted. Findings: The result of the S-curve analysis show that the actual materials cost is higher than the planned materials cost in most cases. ABC and EOQ analysis are applied to maintain sufficient stock in inventory and any given point of time, to protect the materials in the inventory against damages, to reduce inventory holding costs, to overcome stock-out problems and to maintain the inventory in an optimal level. Sensitivity check is applied to the results of EOQ analysis. The stock-out of A class and B class material problems faced in the  construction site can be reduced by  the application of ABC classification and BOQ analysis. The total expenditure of inventory is less after the adoption of these simple inventory control techniques.  Conclusion: Instead of using costly software for inventory management, the engineers and contractors may use these simple inventory control techniques which are equally beneficial and economical.   

scholarly journals Evaluation of the Possibility of Using 1.4462 and 1.4501 Steel as a Construction Material for Apparatus Operating at an Increased Temperature and with Corrosive Factors

Materials ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4014
Author(s):  
Karol Prałat ◽  
Andżelika Krupińska ◽  
Marek Ochowiak ◽  
Sylwia Włodarczak ◽  
Magdalena Matuszak ◽  
...  
Keyword(s):  
Construction Material ◽  
Construction Materials ◽  
Optical Microscope ◽  
Passive Layer ◽  
Initial State ◽  
Time Intervals ◽  
Significant Deterioration ◽  
Higher Temperature ◽  
Increasing Temperature ◽  
Steel Heat

The objective of this study was to determine the requirements for steels used as construction materials for chemical apparatus operating at an elevated temperature and to correlate them with the properties of the tested steels. The experimental part examined the influence of the annealing process on the structure and properties of X2CrNiMoN22-5-3 (1.4462) and X2CrNiMoCuWN25-7-4 (1.4501) steel. Heat treatment was carried out on the tested samples at a temperature of 600 °C and 800 °C. Changes were observed after the indicated time intervals of 250 and 500 h. In order to determine the differences between the initial state and after individual annealing stages, metallographic specimens were performed, the structure was analyzed using an optical microscope and the micro-hardness was measured using the Vickers method. Potentiostatic tests of the samples were carried out to assess the influence of thermal process parameters on the electrochemical properties of the passive layer. An increase in the hardness of the samples was observed with increasing temperature and annealing time, the disappearance of magnetic properties for both samples after annealing at the temperature of 800 °C, as well as a significant deterioration in corrosion resistance in the case of treatment at a higher temperature.

EFFECT OF YELLOW LOESS ON ODOROUS GAS ADSORPTION AND ECOTOXICITY TEST USING DAPHNIA MAGNA

2021 ◽  
Vol 16 (1) ◽  
pp. 103-114
Author(s):  
Hongseok Jang ◽  
Boram Lee ◽  
Seungyoung So
Keyword(s):  
Daphnia Magna ◽  
Cement Mortar ◽  
Construction Material ◽  
Objective Assessment ◽  
Test Chamber ◽  
Construction Materials ◽  
Ecotoxicity Test ◽  
Lamellar Crystal ◽  
Exposure Test ◽  
Natural Materials

ABSTRACT To minimize damage caused by harmful substances released from artificial construction materials, there has been increasing interest in eco-friendly houses constructed with natural materials. Among natural materials, yellow loess is South Korea’s most representative eco-friendly construction material, with high purification performance for indoor use. However, there has been no objective assessment of yellow loess’s performance at purifying indoor air. In this study, internal pores were found in yellow loess that were of a lamellar crystal structure consisting of bonds of silica and alumina plates, and there was a high negative charge on the loess surface; these might have contributed to the excellent performance of yellow loess in adsorbing odorous gas. There was also an exposure test using Daphnia magna to determine the eco-friendliness of yellow loess compared with that of cement mortar. Results showed the survival of Daphnia magna was longer in the indoor environment of a test chamber with higher concentration of ammonia wherein yellow loess was placed. EC50 (median effective concentration, the concentration that caused death of 50% of bio-specimens) value of 19 ml of ammonia (0.1% solution), which was three times more than EC50 value of 6 ml of ammonia of the same area of cement mortar.

scholarly journals Analysis of gabor filter based features with PCA and GA for the detection of drusen in fundus images

2018 ◽  
Vol 7 (1) ◽  
pp. 115
Author(s):  
Sheela N. ◽  
Basavaraj L.
Keyword(s):  
Genetic Algorithm ◽  
Nearest Neighbor ◽  
Gabor Filter ◽  
Age Related Macular Degeneration ◽  
Misclassification Rate ◽  
Support Vector ◽  
K Nearest Neighbor ◽  
Automated Method ◽  
Age Related ◽  
Predictive Rate

Human eye can be affected by different types of diseases. Age-Related Macular Degeneration (AMD) is one of the such diseases, and it mainly occurs after 50 years of age. This disease is characterized by the occurrence of yellow spots called as Drusen. In this work, an automated method for the detection of drusen in Fundus image has been developed, and it has been tested on 70 images consisting of 30 normal images and 40 images with drusen. Performance of the Support Vector Machine (SVM) and K Nearest Neighbor (KNN) classifier has been evaluated using Data's reduction using Principle Component Analysis (PCA) and Data's selection using Genetic Algorithm (GA).Performance evaluation has been done in terms of accuracy, sensitivity, specificity, misclassification rate, positive predictive rate, negative predictive rate and Youden’s Index. The proposed method has achieved highest accuracy of 98.7% when data selection using Genetic Algorithm has been applied.

Study of the Effect of PP and LDPE Thermoplastic Binder Addition on the Mechanical Properties and Physical Properties of Particulate Composites for Building Material Application

2019 ◽  
Vol 964 ◽  
pp. 115-123
Author(s):  
Sigit Tri Wicaksono ◽  
Hosta Ardhyananta ◽  
Amaliya Rasyida ◽  
Feisha Fadila Rifki
Keyword(s):  
Mechanical Properties ◽  
Compression Strength ◽  
Building Materials ◽  
Construction Material ◽  
Construction Materials ◽  
Physical And Mechanical Properties ◽  
Waste Recycling ◽  
Plastic Waste ◽  
Particulate Composites ◽  
Water Absorbability

Plastic waste is majority an organic material that cannot easily decomposed by bacteria, so it needs to be recycled. One of the utilization of plastic waste recycling is become a mixture in the manufacture of building materials such as concrete, paving block, tiles, roof. This experiment purpose to find out the effect of addition of variation of LDPE and PP thermoplastic binder to physical and mechanical properties of LDPE/PP/Sand composite for construction material application. In this experiment are using many tests, such are SEM, FTIR, compression strength, density, water absorbability, and hardness. the result after the test are the best composition of composite PP/LDPE/sand is 70/0/30 because its have compression strength 14,2 MPa, while density value was 1.30 g/cm3, for the water absorbability is 0.073%, and for the highest hardness is 62.3 hardness of shore D. From the results obtained, composite material can be classified into construction materials for mortar application S type with average compression strength is 12.4 MPa.

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