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Due to the increasing size and complexity of construction projects, construction engineering and management involves the coordination of many complex and dynamic processes and relies on the analysis of uncertain, imprecise and incomplete information, including subjective and linguistically expressed information. Various modelling and computing techniques have been used by construction researchers and applied to practical construction problems in order to overcome these challenges, including fuzzy hybrid techniques. Fuzzy hybrid techniques combine the human-like reasoning capabilities of fuzzy logic with the capabilities of other techniques, such as optimization, machine learning, multi-criteria decision-making (MCDM) and simulation, to capitalise on their strengths and overcome their limitations. Based on a review of construction literature, this chapter identifies the most common types of fuzzy hybrid techniques applied to construction problems and reviews selected papers in each category of fuzzy hybrid technique to illustrate their capabilities for addressing construction challenges. Finally, this chapter discusses areas for future development of fuzzy hybrid techniques that will increase their capabilities for solving construction-related problems. The contributions of this chapter are threefold: (1) the limitations of some standard techniques for solving construction problems are discussed, as are the ways that fuzzy methods have been hybridized with these techniques in order to address their limitations; (2) a review of existing applications of fuzzy hybrid techniques in construction is provided in order to illustrate the capabilities of these techniques for solving a variety of construction problems and (3) potential improvements in each category of fuzzy hybrid technique in construction are provided, as areas for future research.

The prevalent practice of construction supply chain (CSC) in developing countries with a focus on Africa was presented in this chapter. Two African countries (South Africa and Ghana) were selected due to the extensive literature on the CSC emanating from the countries. The impediment to the effective management of the CSC in the two African countries was also examined in this chapter. It was discovered that the vital inhibition to the performance of CSC in developing countries is the adoption of culture from developed countries without a proper model for ensuring its implementation in developing countries. Also, no model has incorporated the principles and technologies of the fourth industrial revolution (4IR) to manage the CSC. The failure to adopt the 4IR technologies like block chain, big data and the internet of things has prevented the proper application of CSC practices in developing countries. CSC practices like collaboration, integration, lean supply chain, information sharing, financial management and communication are the primary practice in developing countries. Finally, this chapter called for the development of a model for managing the CSC in developing countries in alignment with the principles of the 4IR.

In the quest for better construction workforce management, this chapter explored the background of workforce management and related theories, models, and practices. Through a review, the chapter provided meaning to the concept of construction and workforce management. The chapter concluded that while the construction industry worldwide is important to the economic growth of the countries where it operates, the industry’s management of its workforce is challenged by several problems. These problems include the nature of the industry, skill shortage, unhealthy working environment, and poor image of the industry, among others. Also, while the construction industry is rich in diversity, this has been a major source of problems for workforce management. The chapter further revealed that to improve workforce management and attain better-performing construction organisations, careful recruitment, effective training, providing a safe working environment, putting policies to promote diversity, and ensuring innovativeness, among others, are essential.

The following is an introductory profile of the fastest growing firms over the three-year period of the study listed by corporate reputation ranking order. The business activities in which the firms are engaged are outlined to provide background information for the reader.

This chapter discusses the application of fuzzy cognitive map (FCM) modelling to construction management (CM) challenges and problems. It focuses on the critical issue of managing the complexity and uncertainty inherent in CM by providing a new intelligent layer that enhances classical approaches to construction modelling and management. It investigates how the myriad types of internal and external factors affecting the feasibility and performance of construction projects can be modelled using a fuzzy hybrid method that explores the complex relationships among many contributing factors and assesses and evaluates their impacts on past and future projects. This chapter proposes a hybrid modelling approach in the traditional context of cost, schedule and risk management and describes how augmenting and enhancing existing state-of-the-art tools and processes in CM can assist construction managers. This chapter provides a background on the theory of FCMs, presents foundational and current research, and explains how to apply this approach in the CM domain. This chapter also provides a detailed description of how to develop, modify and employ interactive models to specific CM challenges and problems. It includes a customisable, interactive base model and demonstrates how the model has been applied to specific CM events and issues. Examples are presented that highlight the interplay between project-specific goals and characteristics and the way these impact the interrelated and often opposing triad of cost, schedule and risk. The presented examples and practical applications make this state-of-the-art approach useful to both academic and industry practitioners.

Adoption of sustainability principles is crucial for construction project delivery, and various parameters are being used as a yardstick for its measurement. This chapter discusses profit as one of the parameters used to determine the success of a sustainable construction project. It explains such issues as the nature and important of construction industry and its product (construction project), meaning of sustainable construction as well as meaning of profit and what its entails in construction. It reviews the value of profit as a measure of success for a construction project and also encourages the need for planning and analysis of all activities involved on a construction project in relation to its environment so as to validate the profit as a measure of project success.

This chapter explains the concept of risk management in construction in relation to project success. The types of risks were examined based on the date of identification which are known risk, unknown risk, new or discovered risk, secondary risk and residual risk. Project risk is not an all-encompassing negative event as it could also cause a positive impact on construction projects. It was acknowledged that project risk in itself could have a positive impact if its risk management process is properly implemented by the construction project team.

Functionality as a measure of project performance encompasses definitions across literature, relevance and essentiality in construction as the industry moves towards sustainable construction. Functionality in this section shows details in social functionality, as well as functionalities expressed in assessing, implementing project performance within set out target and goal. Furthermore, for functionality to be truly experienced in construction, many factors have to be gotten right. One of such is decision making that tends towards standard expatiated in the contract agreed without compromising budget, performance, collaboration, health and safety, communication, profit, satisfaction, quality, project cost, profitability among others.

Projects are created and planned with the intention of achieving a specific aim that refers to the project's client's requirement or desire. As a result of the diverse interests of other construction professionals and stakeholders, the goals of the projects have multiplied, necessitating an examination of the participants' perspectives. These objectives are referred to as project success, performance, or delivery measures, variables, methodologies, criteria, indices or qualities. Various elements influence the success of any building project in general. Project characteristics, contractual arrangements, project participants and interactive procedures are some of the categories. This chapter discusses the importance of budgeting in determining project success, concluding that a project cannot be considered successful without proper budgeting.