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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.

With numerous and ambiguous sets of information and often conflicting requirements, construction management is a complex process involving much uncertainty. Decision makers may be challenged with satisfying multiple criteria using vague information. Fuzzy multi-criteria decision-making (FMCDM) provides an innovative approach for addressing complex problems featuring diverse decision makers’ interests, conflicting objectives and numerous but uncertain bits of information. FMCDM has therefore been widely applied in construction management. With the increase in information complexity, extensions of fuzzy set (FS) theory have been generated and adopted to improve its capacity to address this complexity. Examples include hesitant FSs (HFSs), intuitionistic FSs (IFSs) and type-2 FSs (T2FSs). This chapter introduces commonly used FMCDM methods, examines their applications in construction management and discusses trends in future research and application. The chapter first introduces the MCDM process as well as FS theory and its three main extensions, namely, HFSs, IFSs and T2FSs. The chapter then explores the linkage between FS theory and its extensions and MCDM approaches. In total, 17 FMCDM methods are reviewed and two FMCDM methods (i.e. T2FS-TOPSIS and T2FS-PROMETHEE) are further improved based on the literature. These 19 FMCDM methods with their corresponding applications in construction management are discussed in a systematic manner. This review and development of FS theory and its extensions should help both researchers and practitioners better understand and handle information uncertainty in complex decision problems.

Scholars and practitioners in the OB literature nowadays appreciate that emotions and emotional regulation constitute an inseparable part of work life, but the HRM literature has lagged in addressing the emotional dimensions of life at work. In this chapter therefore, beginning with a multi-level perspective taken from the OB literature, we introduce the roles played by emotions and emotional regulation in the workplace and discuss their implications for HRM. We do so by considering five levels of analysis: (1) within-person temporal variations, (2) between persons (individual differences), (3) interpersonal processes; (4) groups and teams, and (5) the organization as a whole. We focus especially on processes of emotional regulation in both self and others, including discussion of emotional labor and emotional intelligence. In the opening sections of the chapter, we discuss the nature of emotions and emotional regulation from an OB perspective by introducing the five-level model, and explaining in particular how emotions and emotional regulation play a role at each of the levels. We then apply these ideas to four major domains of concern to HR managers: (1) recruitment, selection, and socialization; (2) performance management; (3) training and development; and (4) compensation and benefits. In concluding, we stress the interconnectedness of emotions and emotional regulation across the five levels of the model, arguing that emotions and emotional regulation at each level can influence effects at other levels, ultimately culminating in the organization’s affective climate.

Managing complex construction projects is a challenging task because it involves multiple factors and decision-making processes. A systematic evaluation of these complex factors is imperative for achieving project success. As most of these factors are qualitative or intangible in nature, decision makers often rely on subjective judgements when comparing and evaluating them. The hybrid techniques that integrate fuzzy set theory and the analytic hierarchy process (AHP) are able to deal with such problems. This chapter discusses various hybrid techniques of the fuzzy AHP and presents an application of these techniques to the evaluation of transportation project complexity, which is essential for prioritising resource allocation and assessing project performance. Project complexity can be quantified and visualised effectively with the application of the fuzzy AHP. This chapter enhances the understanding of construction project complexity and fuzzy hybrid computing in construction engineering and management. Future research should address the calibration of fuzzy membership functions in pairwise comparisons for each individual decision maker and develop computational tools for solving optimisation problems in the constrained fuzzy AHP. In the area of construction project complexity, future research should investigate how scarce resources are allocated to better manage complex projects and how appropriate resource allocation improves their performance.

The present research explores capital requirement models used in medium‐size, private construction firms. The decision‐maker of a contracting firm can implement a cash flow forecasting model as an early warning system by using a model to identify likely cash‐flow problems in advance of the occurrence of these difficulties. Arrangements for acquiring any needed funds from other sources can then be made to avoid the possibility of financial problems in the corporation. In the present research, a model for financial decisionmaking is developed which, as demonstrated in a case study, provides a method of solving borrowing decision problems. The model includes the ability to evaluate qualitative and fuzzy circumstances. The model also assists in the selection of sources of funding, taking into consideration the capital structure ratio, the period of cash requirements, the borrowing limits and the tax conditions of the firm. The purpose of the model is to provide the decision‐maker with a tool kit to analyse her/his financial options.

The purpose of the paper is to report the investigation results of current practices of strategic asset allocation process, which consists of capital budget planning, monitoring, and control of Hong Kong building contractors. The changes of the said practices are compared with the results of the two similar surveys undertaken in the past longitudinally.

A total of 157 questionnaires were sent to about 1,000 approved Hong Kong building contractors (classified as group A, B, C in accordance with their maximum capacities). The total response rate was 30.7 per cent. Statistical techniques, a two‐dimensional contingency table, and discriminant function analysis (DA) were deployed to analyze the survey data via SPSS.

Only the practice of a regular review of the minimum rate of return of major projects was popular. For monitoring aspect, 100 per cent of surveyed contractors monitor project performance once operational. The result of post‐completion audits on major projects was 63 per cent. For the results of the longitudinal study, 66.7 per cent of group C firms employed the practices of intermediate and long‐term capital budgets and 71.4 per cent of large firms had a formal body for screening investment proposals compared with 54.8 per cent and 63.3 per cent of the same group's practices in 1994 respectively. DA results showed that the patterns within the three different groups (A, B, and C) were very similar, and group A and group B were active in capital budgeting monitoring and control.

Planning was the weakest and data showed that Hong Kong building contractors had tight control of the projects.

This paper reports the investigation results of current practices of strategic asset allocation process, which consists of capital budget planning, monitoring, and control of Hong Kong building contractors.

This paper aims to assess the sensitivity of numerical simulation results of turbulent reactive flow to the formulation of inlet boundary conditions. The analysis concerns the profiles of the mean velocity the turbulence kinetic energy k and its dissipation rate ϵ. It is intended to provide guidance to the determination of inlet conditions when only global flow data are available. This situation can be met both in simple laboratory experiments and in industrial full-scale applications, when measurements are either incomplete or infeasible, resulting in lack of detailed inlet data.

Two turbulence–chemistry interaction models were studied: eddy dissipation concept and partially stirred reactor. Three different velocity profiles and related turbulence statistics were applied to present feasible scenarios and their consequences. Simulations with the most appropriate inlet data were accompanied with profiles of turbulent quantities obtained with a proposed method. This method was contrasted to other approaches popular in the literature: the pre-inlet pipe and the separate cold flow simulations of a burner. The methodology was validated on two laboratory-scale jet flames: Delft Jet-in-Hot-Coflow and Sandia CHN B. The simulations were carried out with open source code OpenFOAM.

The proposed relations for turbulence kinetic energy and its dissipation rate at the inlet are found to provide results comparable to those obtained with the use of experimental data as inlet boundary conditions. Moreover, from a certain location downstream the jet, weakly dependent on the Reynolds number, the influence of inlet conditions on flow statistics was found to be negligible.

This work reveals the consequences of the use of rather crude assumptions made for inlet boundary conditions. Proposed formulas for the profiles for k and epsilon are attractive alternatives to other approaches aiming to determine the inlet boundary conditions for turbulent jet flows.

Supplier selection for defence procurement is a crucial function of a Ministry of Defence. The Ministry spends huge amounts of money each year to procure a vast array of equipment, goods and services. The ongoing financial crisis demands less subjective and more cost-saving methods for selecting a supplier. The approach advocated in this article integrates Analytic Hierarchy Process (AHP) with Goal Programming (GP) in order to combine conflicting criteria to select the best suppliers and allocate optimum order quantities among them. This paper presents a model close to real-world situations. Findings demonstrate that cost savings is a feasible result along with a viable combination of conflicting criteria in the suppliers' selection area.

Quality criteria of The Malcolm Baldrige National Quality Award (MBNQA) have been used as a standard for organisational self‐assessment and benchmarking. The threefold purpose of this paper is: to analyse the individual weights of the MBNQA criteria for organisations of the construction and the manufacturing industry within the GCC (Gulf Cooperation Council) countries in order to create a basis for self‐assessment and benchmarking; to identify differences of criteria importance between the construction and the manufacturing industry (external alignment) in order to identify challenging areas on TQM when two organisations from the respective industries collaborate; and to compare the perspectives of project managers with those of quality management representatives (internal alignment) in order to identify challenging areas on an organisation's TQM caused by not aligned or contradicting perspectives.

Questionnaire based in‐depth interviews of GCC project managers and quality management representatives were analysed using a fuzzy analytical hierarchy process (AHP) to calculate the weights and subsequent ranking of seven quality criteria.

When compared to the original weights of the MBNQA criteria, the “results” criterion was found to be ranked the same. However, clear differences were identified regarding the criteria “leadership” and “measurement/analysis”. The differences between the two analysed industries were not significant, whereas project managers and quality management representatives have clearly differing views on all seven criteria.

First, the analysed ranking of MBNQA quality criteria in the GCC countries gives organisations of the construction and the manufacturing industry a benchmark for comparison with their ranking of the MBNQA criteria. Second, clients may assume a common and hence strong basis for TQM when organisations belonging to the construction industry collaborate with organisations belonging to the manufacturing industry. Third, the organisations’ internal communication between project managers and quality management representatives needs to be improved in order to pursue common TQM goals effectively.

This paper aims to explore to what extent the total quality management (TQM) is practised by Hong Kong large‐sized public listed building contractors (PLC) and non‐listed building contractors (NLC), and what management areas need more attention in order to achieve the TQM spirit of continuous improvement.

This paper reports the investigation results of the six TQM practices (X1‐X6) by Hong Kong large‐sized building contractors via a self‐assessment questionnaire survey, which is modified from the contents of the self‐assessment questionnaire designed by the Baldrige National Quality Program. Descriptive statistics, one‐way ANOVA, multivariate tests and correlation matrix were employed to analyze the results.

The survey results show that there is a significant difference in the six TQM practices between the PLC and the NLC through one‐way ANOVA. PLC out‐performed NLC in strategic planning (X2), particularly the practice of development and deployment of strategy. Moreover, strong correlations existed between the TQM practices of X1 (leadership) and X2, X2, and X5 (human resource focus), and X6 (process management) and X5. Therefore, PLC should pay more attention to the management areas of X1, X2, X5, and X6. Furthermore, NLC should enhance and balance their TQM practices as suggested by the tests of between‐subjects effects.

Hong Kong building contractors should pay more attention to the strategic planning, human resources management and process management in order to attain the goal of continuous improvement and thus the business excellence of TQM.

The study shows that there is a significant difference in practising the six TQM (Malcolm Baldrige National Quality Award) criteria between PLC and NLC in strategic planning (X2).