scholarly journals Defining an Industry: What is the Size and Scope of the Australian Building and Construction Industry

1970 ◽  
Vol 10 (1-2) ◽  
pp. 119-131 ◽  
Author(s):  
Gerard De Valence
Keyword(s):  
Construction Industry ◽  
Performance Model ◽  
Cluster Approach ◽  
Industry Cluster ◽  
Traditional Structure ◽  
Economic Contribution ◽  
And Performance ◽  
Using Data ◽  
Traditional Industry ◽  
Different Characteristics

This is a reprint from Vol 1, no 1, which has not previously been available in electronic format.The analysis and understanding of the conduct and performance of an industry begins with a study of its structure. However, before analysing an industry's structure it is necessary to define the industry and identify its size, scope and scale to establish its true economic contribution. This paper discusses the size and scope of the Australian building and construction industry, firstly froma traditional industry economics approach by firm size and business characteristics using data fron three construction industry surveys done over 15 years by the ABS. Secondly, data from an industry 'cluster' perspective is shown. The objective of the paper is to compare the differences found in industry size and scope in the structure-conduct-performance approach and the alternative industry cluster approach. Each model reveals different characteristics of the industry. The conclusion finds that the building and construction industry is a case where the traditional structure-conduct-performance model cannot be easily applied. 

scholarly journals Defining an Industry: What is the Size and Scope of the Australian Building and Construction Industry

2011 ◽  
Vol 1 (1) ◽  
pp. 53-65 ◽  
Author(s):  
Gerard De Valence
Keyword(s):  
Construction Industry ◽  
Performance Model ◽  
Cluster Approach ◽  
Industry Cluster ◽  
Traditional Structure ◽  
Economic Contribution ◽  
And Performance ◽  
Using Data ◽  
Traditional Industry ◽  
Different Characteristics

The analysis and understanding of the conduct and performance of an industry beginswith a study of its structure. However, before analysing an industry's structure it isnecessary to define the industry and identify its size, scope and scale to establish itstrue economic contribution. This paper discusses the size and scope of the Australianbuilding and construction industry, firstly, from a traditional industry economics approachby firm size and business characteristics using data from three construction industrysurveys done over 15 years by the ABS. Secondly, data from an industry 'cluster'perspective is shown. The objective of the paper is to compare the differences found inindustry size and scope in the structure-conduct-performance approach and thealternative industry cluster approach. Each model reveals different characteristics of theindustry. The conclusion finds that the building and construction industry is a casewhere the traditional structure-conduct-performance model cannot be easily applied.53

Digitalization system of ancient architecture decoration art based on neural network and image features

2020 ◽  
pp. 1-12
Author(s):  
Wu Xin ◽  
Qiu Daping
Keyword(s):  
Neural Network ◽  
Construction Industry ◽  
Three Dimensional ◽  
Performance Testing ◽  
Image Features ◽  
Three Dimensional Model ◽  
Performance Effect ◽  
Data Process ◽  
And Performance ◽  
Construction Mode

The inheritance and innovation of ancient architecture decoration art is an important way for the development of the construction industry. The data process of traditional ancient architecture decoration art is relatively backward, which leads to the obvious distortion of the digitalization of ancient architecture decoration art. In order to improve the digital effect of ancient architecture decoration art, based on neural network, this paper combines the image features to construct a neural network-based ancient architecture decoration art data system model, and graphically expresses the static construction mode and dynamic construction process of the architecture group. Based on this, three-dimensional model reconstruction and scene simulation experiments of architecture groups are realized. In order to verify the performance effect of the system proposed in this paper, it is verified through simulation and performance testing, and data visualization is performed through statistical methods. The result of the study shows that the digitalization effect of the ancient architecture decoration art proposed in this paper is good.

Determinants of Control System Design in Divisionalized Firms

2004 ◽  
Vol 79 (3) ◽  
pp. 545-570 ◽  
Author(s):  
Margaret A. Abernethy ◽  
Jan Bouwens ◽  
Laurence van Lent
Keyword(s):  
Control System ◽  
System Design ◽  
Performance Measures ◽  
Simultaneous Equation ◽  
Equation Model ◽  
Control System Design ◽  
Information Asymmetries ◽  
Endogenous Variables ◽  
And Performance ◽  
Using Data

We investigate two determinants of two choices in the control system of divisionalized firms, namely decentralization and use of performance measures. The two determinants are those identified in the literature as important to control system design: (1) information asymmetries between corporate and divisional managers and (2) division interdependencies. We treat decentralization and performance measurement choices as endogenous variables and examine the interrelation among these choices using a simultaneous equation model. Using data from 78 divisions, our results indicate that decentralization is positively related to the level of information asymmetries and negatively to intrafirm interdependencies, while the use of performance measures is affected by the level of interdependencies among divisions within the firm, but not by information asymmetries. We find some evidence that decentralization choice and use of performance measures are complementary.

Local Calibration of Pavement Mechanistic-Empirical Faulting Reliability using Pavement Management Data

2021 ◽  
pp. 036119812110013
Author(s):  
Lucio Salles de Salles ◽  
Lev Khazanovich
Keyword(s):  
Model Calibration ◽  
Prediction Models ◽  
Plain Concrete ◽  
Performance Model ◽  
Pavement Management ◽  
Pavement Design ◽  
Reliability Model ◽  
Transverse Joint ◽  
Design Characteristics ◽  
And Performance

The Pavement ME transverse joint faulting model incorporates mechanistic theories that predict development of joint faulting in jointed plain concrete pavements (JPCP). The model is calibrated using the Long-Term Pavement Performance database. However, the Mechanistic-Empirical Pavement Design Guide (MEPDG) encourages transportation agencies, such as state departments of transportation, to perform local calibrations of the faulting model included in Pavement ME. Model calibration is a complicated and effort-intensive process that requires high-quality pavement design and performance data. Pavement management data—which is collected regularly and in large amounts—may present higher variability than is desired for faulting performance model calibration. The MEPDG performance prediction models predict pavement distresses with 50% reliability. JPCP are usually designed for high levels of faulting reliability to reduce likelihood of excessive faulting. For design, improving the faulting reliability model is as important as improving the faulting prediction model. This paper proposes a calibration of the Pavement ME reliability model using pavement management system (PMS) data. It illustrates the proposed approach using PMS data from Pennsylvania Department of Transportation. Results show an increase in accuracy for faulting predictions using the new reliability model with various design characteristics. Moreover, the new reliability model allows design of JPCP considering higher levels of traffic because of the less conservative predictions.

Capacity Planning for Cluster Tools of Wafer Fabrication Plant

2010 ◽  
Vol 450 ◽  
pp. 365-368
Author(s):  
James C. Chen ◽  
Chia Wen Chen ◽  
Kou Huang Chen ◽  
Chien Hsin Lin
Keyword(s):  
Capacity Planning ◽  
Production Costs ◽  
Wafer Fabrication ◽  
Total Production ◽  
Output Rate ◽  
Cluster Tools ◽  
And Performance ◽  
Using Data ◽  
Capital Intensive

Wafer fabrication is a capital intensive industry. A 12-inch wafer fabrication plant needs a typical investment of US$ 3 billion, and the equipment cost constitutes about two-thirds to three-quarters of the total production costs. Therefore, capacity planning is crucial to the investment and performance of wafer fabrication plants. Several formulae are presented to calculate the required number of machines with sequential, parallel, and batch processing characteristics, respectively. An AutoSched AP simulation model using data from real foundry fabrication plants is used in a case study to evaluate the performance of the proposed formulae. Simulation results indicate that the proposed formulae can quickly and accurately calculate the required number of cluster tools leading to the required monthly output rate.

Business Analytics and Firm Agility and Performance--Model

2019 ◽  
Author(s):  
Amir Ashrafi ◽  
Ahad Zare Ravasan ◽  
Peter Trkman ◽  
Samira Afshari
Keyword(s):  
Performance Model ◽  
Business Analytics ◽  
And Performance
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