Challenges Facing Building Construction in Developing Countries

2016 ◽  
pp. 28-76
Keyword(s):  
Developing Countries ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Construction Material ◽  
Building Construction ◽  
Cost Overruns ◽  
Improve Efficiency ◽  
Efficiency And Productivity

In Chapter 2, an overview of construction practices in developing countries was presented. It is now well-established that the industry faced enormous challenges. To overcome these challenges and hence improve efficiency and productivity requires a deeper understanding of the challenges. In this chapter, the main challenges related to construction material and equipment, man-power and management will be examined. The consequences of these challenges which often lead cost overruns and delays will be discussed. The aim of this chapter is to provide a deeper understanding of these challenges so as to inform the choice of the decision support systems to be used in the subsequent chapters.

Challenges Facing Building Construction in Developing Countries

2020 ◽  
pp. 264-303
Author(s):  
Chrispin Pettang ◽  
Marcelline Blanche Manjia ◽  
F. Henry Abanda
Keyword(s):  
Developing Countries ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Construction Material ◽  
Building Construction ◽  
Cost Overruns ◽  
Improve Efficiency ◽  
Efficiency And Productivity

It is now well-established that the industry faced enormous challenges. To overcome these challenges and hence improve efficiency and productivity requires a deeper understanding of the challenges. In this chapter, the main challenges related to construction material and equipment, man-power and management will be examined. The consequences of these challenges which often lead cost overruns and delays will be discussed. The aim of this chapter is to provide a deeper understanding of these challenges so as to inform the choice of the decision support systems to be used in the subsequent chapters.

Implementing Decision Support Systems in Developing Countries

1989 ◽  
Vol 89 (7) ◽  
pp. 21-26 ◽  
Author(s):  
Ming‐te Lu ◽  
Ching‐cha Hsieh ◽  
Chien‐chun Pan
Keyword(s):  
Developing Countries ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems

scholarly journals Decision Support in Building Construction: A Systematic Review of Methods and Application Areas

Buildings ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. 170 ◽  
Author(s):  
Carmen Marcher ◽  
Andrea Giusti ◽  
Dominik T. Matt
Keyword(s):  
Systematic Review ◽  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Building Construction ◽  
Multiple Criteria Decision Analysis ◽  
Construction Sector ◽  
Successful Development ◽  
Relevant Task

Decision making is a relevant task in the building construction sector, and various systems and methods for decision support are emerging. By means of a systematic literature review, this article identifies the methods for decision making in building construction and the lifecycle phases for which decision support systems are proposed. The selected articles are analyzed and grouped according to the adopted decision-making methods and the defined lifecycle phases. The findings show that multiple criteria decision analysis is the most used method for decision support in building construction and that the construction phase is the most addressed phase within the relevant existing works. The findings related to the construction phase are further refined by grouping the articles into application areas and by reviewing in detail the proposed methods therein. The scarce availability of data and project cases is identified as the most common barrier for the successful development and implementation of decision support systems in the building construction sector. This work provides a basis for scientists and practitioners for identifying suitable methods for decision-making support in a specific lifecycle phase of a building.

General Introduction

2016 ◽  
pp. 1-5
Keyword(s):  
Developing Countries ◽  
Decision Support ◽  
Decision Support Systems ◽  
Construction Projects ◽  
Support Systems ◽  
Developed Countries ◽  
General Introduction ◽  
Negative Impacts ◽  
The Developed Countries

The construction industry is one of the most important sectors in the economy of each country. However, it has been noted with a multiplicity of problems that have negative impacts on efficiency, productivity and quality. While these problems are being tackled in the developed countries using advanced decision support systems, knowledge of such systems applied to construction projects in developing countries is sketchy. Being a general introductory chapter, this chapter will sign-post everything covered in this book.

Decision Support Systems For Forest Management In Mexico

2011 ◽  
pp. 74-100 ◽  
Author(s):  
Rafael Moreno-Sánchez ◽  
Juan Manuel Torres-Rojo
Keyword(s):  
Developing Countries ◽  
Decision Support ◽  
Forest Management ◽  
Decision Support Systems ◽  
Support Systems ◽  
State Of The Art ◽  
Future Developments ◽  
Current State ◽  
Forestry Sector ◽  
The World

In the last 25 years there have been several efforts to create Decision Support Systems (DSS) for management of the forests in Mexico. Few references exists that document these experiences and that can assist in understanding their genesis, evolution, successes, shortcomings, or failures, as well as the factors that have led to these outcomes. This chapter fills this gap by presenting an overview of the DSS that have been created since the mid 1980’s. The characteristics of the Mexican forest ecosystems and the complex web of interactions and co-evolution of the contexts that frame the forestry activities in Mexico have influenced the characteristics, evolution, and current state of the art of the DSS for the management of the forest in the country. Similar characteristics and contexts are commonly found in developing countries around the world. Hence, the experiences, lessons, and recommendations for future developments presented in this chapter can be of value beyond the specific conditions of the Mexican forestry sector.

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