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The complexity of the construction standards affects the relevance between the system internal elements. Therefore, research on the systematic effect can make the construction activities get the optimum benefit. The purpose of this paper is to discuss these issues.

The research reveals the complex adaptive characteristic of the standard system by using system science theory, analyzes the emergent property mechanism of construction standard system, and provides the mathematical form of the system.

Finally, according to the complex characteristic of standard system, the structure modeling method of complex system is given. This paper provides a new method and theory bases for the construction standard system establishment.

Dynamic, open and non-linear can be considered as the core characteristics of construction standard system in structure, environment and behavior aspects, and that means the standard system is a typical complex system.

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.

This paper aims to present findings from research that evaluate the defects/snagging management process at construction project level and review the potential for the operation of a novel, paper‐based, records management mechanism.

The design and use of a hybrid electronic/paper‐based snagging management system are discussed. The design and practicalities of the system are considered as a means towards demonstrating that a link currently exists between modern IT systems and traditional, paper‐based methods of document transfer.

The paper finds that the snagging aspect of construction projects is often overlooked and under‐estimated. Construction projects require systems that facilitate data input and records management processing, thus removing the reliance upon traditional methods of working. A highly advanced digital pen and paper technology is discussed which has the potential to totally revolutionise the collection of information on paper (for all organisations). The IT system can be adapted for a range of processes/needs which aids not only management but also the individuals on the frontline responsible for collecting site‐based records.

The system highlighted has the potential to be adopted within every construction‐based organisation and indeed wider industrial sectors due to its unique adaptability and ease with which features can be incorporated. There are a number of business benefits to be accrued from the adoption of digital pen and paper‐based IT systems.

Extremely novel technology is discussed. The value to the construction industry and wider industrial sectors is the opportunity to continue working using existing processes, whilst at the same time becoming wholly electronic.

Despite recognition of its importance to Singapore’s economy, the construction industry is plagued by poor safety and productivity performance. Improvement efforts by the government and industry have yielded little results. The purpose of this paper is to propose a framework for developing a productivity and safety monitoring system using Building Information Modelling (BIM).

The framework, Intelligent Productivity and Safety System (IPASS), takes advantage of mandatory requirements for building plans to be submitted for approval in Singapore in BIM format. IPASS is based on a study comprising interviews and a questionnaire-based survey. It uses BIM to integrate buildable design, prevention and control of hazards, and safety assessment.

The authors illustrate a development of IPASS capable of generating productivity and safety scores for construction projects by analysing BIM model information.

The paper demonstrates that BIM can be used to monitor productivity and safety as a project progresses, and help to enhance performance under the two parameters.

IPASS enables collaboration among project stakeholders as they can base their work on analysis of productivity and safety performance before projects start, and as they progress. It is suggested that the BIM model submitted to the authorities should be used for the IPASS application.

IPASS has rule-checking, hazards identification and quality checking capabilities. It is able to identify hazards and risks with the rule-checking capabilities. IPASS enables practitioners to check mistakes and the rationality of a design. It helps to mitigate risks as there are built-in safety measures/controls rules to overcome the problems caused by design deficiency, wrong-material-choice, and more.

Design and build (D/B) construction methods have gained more importance in recent years for their potential advantages in improving project performance. There are, however, a number of problems that are commonplace in D/B procurement, which, when they interact with each other, can lead to project time and cost overrun problems. The most important among them are design changes, together with communication and coordination lapses among concerned parties. Past research has focused only on the characteristics of the traditional construction, or separate sub‐systems such as different phases or human resource input to projects. An attempt is made in this paper to improve D/B project time and cost performance. A generic system dynamics model is developed that incorporates major sub‐systems and their relationships inherent in D/B constructions projects. It is validated and calibrated for a typical large D/B infrastructure project using time and cost overrun problems experienced in Thailand. Extensive simulations with many policies, individually or in various combinations, show that improvement in time or cost can be made with proper policy combinations that reflect strong interactions between the whole design and build system and can be derived only if these interactions are accounted for. To achieve overall improvement in both time and cost, the combination of full overtime schedule, average material ordering, and fast track construction with moderate crashing of design is most appropriate. If cost is the focus, extending the construction schedule, combined with material ordering based on actual need, and design and build with traditional construction method is the best solution.

In the construction industry, it has proven difficult to implement and realize innovation efforts, for example in the development of industrialized construction and use of platform concepts. Thus, the purpose of this study is to characterize the innovation diffusion process in the social system of a large Swedish contractor company. Specifically, the diffusion of three innovative industrialized house-building (IHB) platforms and factors affecting their adoption and implementation (particularly effects of their perceived radicality in relation to the company’s decentralized characteristics) are identified and discussed.

A case study approach was applied, using empirical material including semi-structured interviews and archival records (research reports from earlier studies at different points in time related to each innovation and annual corporate reports). The material was analyzed using Rogers’ (2003) five-stage innovation process model, acknowledging the importance of social systems’ structures.

Structural characteristics of the social system strongly affect innovation diffusion. In subsystems that had not been involved in initiation of the innovations, they were regarded as radical, which hindered their adoption and implementation.

This study builds upon the recent findings that successful innovation implementation depends on a range of contingencies in the construction context. Although the diffusion of the innovations per se has been traced over a ten-year period, generalizability is limited because the results come from one construction company.

Contractors have invested substantially in the development of industrialized construction and use of platform concepts, but less in their implementation, so they have obtained little gain. How innovations are perceived and implemented in different subsystems affects the success of their implementation in the overarching social system.

This study adheres to previous calls for more research on firm level in the complex social system of construction companies by adopting a ten-year perspective on the diffusion of innovation at a large contractor addressing in particular the impact of the innovations perceived radicality in relation to the decentralized characteristics of the company.

In construction, literature interorganizational cooperation is argued to be an important aspect of construction innovation. From this perspective, several distinct bodies of literature provide relevant insights. In literature on complex product systems (CoPS), it is argued that construction industry is a CoPS industry and that in CoPS industries systems integrators set‐up and coordinate interorganizational innovation. Furthermore, various bodies of literature provide information about factors that affect the success of innovation and interorganizational cooperation. The purpose of this paper is to integrate the findings from these bodies of literature.

To uncover the present state of knowledge about systems integrators, a comprehensive literature review is conducted. Furthermore, the paper analyzes various fields of literature to derive an overview of factors which have been empirically related to the success of innovation and interorganizational cooperation.

First, this paper structures the current knowledge on the role and characteristics of systems integrators. Subsequently, the paper translates this knowledge to the context of construction industry and discusses the basis for classifying a firm as a systems integrator in construction industry. Furthermore, the paper presents a list of relevant success factors derived from literature on new product development, strategic networks and alliances, open innovation, and construction innovation.

By integrating various bodies of literature, this paper provides a solid base for future theory development on how firms achieve interorganizational innovation in construction industry.

Several different simulation techniques, such as discrete event simulation (DES), system dynamics (SD) and agent-based modelling (ABM), have been used to model complex construction systems such as construction processes and project management practices; however, these techniques do not take into account the subjective uncertainties that exist in many construction systems. Integrating fuzzy logic with simulation techniques enhances the capabilities of those simulation techniques, and the resultant fuzzy simulation models are then capable of handling subjective uncertainties in complex construction systems. The objectives of this chapter are to show how to integrate fuzzy logic and simulation techniques in construction modelling and to provide methodologies for the development of fuzzy simulation models in construction. In this chapter, an overview of simulation techniques that are used in construction is presented. Next, the advancements that have been made by integrating fuzzy logic and simulation techniques are introduced. Methodologies for developing fuzzy simulation models are then proposed. Finally, the process of selecting a suitable simulation technique for each particular aspect of construction modelling is discussed.

Dynamic planning and scheduling forms a widely adopted smart strategy for solving real-world problems in diverse business systems. This paper uses deductive content analysis to explore secondary data from previous studies in dynamic planning and scheduling to draw conclusions on its current status, forward action and research needs in construction management.

We searched academic databases using planning and scheduling keywords without a periodic setting. This research collected secondary data from the database to draw an objective comparison of categories and conclusions about how the data relates to planning and scheduling to avoid the subjective responses from questionnaires and interviews. Then, applying inclusion and exclusion criteria, we selected one hundred and four articles. Finally, the study used a seven-step deductive content analysis to develop the categorisation matrix and sub-themes for describing the dynamic planning and scheduling categories. We used deductive analysis because of the secondary data and categories comparison. Using the event types represented in a quadrant mapping, we delve into where, when, application and benefits of the classes.

The content analysis showed that all the accounts and descriptions of dynamic planning and scheduling are identifiable in an extensive research database. The content analysis reveals the need for multi-hybrid (4D BIM-Agent based-discrete event-discrete rate-system dynamics) simulation modelling and optimisation method for proffering solutions to scheduling and planning problems, its current status, tools and obstacles.

This research reveals the deductive content analysis talent in construction research. It also draws direction, focuses and raises a question on dynamic planning and scheduling research concerning the five-integrated model, an opportunity for their integration, models combined attributes and insight into its solution viability in construction.

This paper proposes an evaluation model for prefabricated construction to guide a supply chain with controllable costs. Prefabricated construction is prevalent due to area limitations. Nevertheless, the development is limited by budget control and identifying the factors affecting cost. The degree of close collaboration in the supply chain is closely interconnected with cost performance that includes direct and indirect factors. This paper not only quantizes these factors but also distinguishes the degree of influence of various factors.

System dynamics is applied to simulate and analyze the construction cost factors through Vensim software. It can also clarify the relationship between cost and other influencing factors. The input data are collected from an Internet of Things (IoT)-enabled system under a Building Information Modeling (BIM) system and Hong Kong government reports.

Simulation results indicate that prefabricated construction cost is mainly influenced by government promotion degree (GPD), working pressure from on-site construction (WPOSC), prefab quality (PQ), load-bearing capacity per vehicle (LBPV) and mold quality (MQ). However, it is more sensitive toward GPD, which indicates that the government should take measures to promote this construction technology. On-site worker management is also essential for the assembly process and indirectly influences the construction cost.

This paper quantifies indirect influential factors to clarify the specific features for prefabricated construction. The investigated factors are limited.

The contractor can identify all factors and classify the levels of influence to make decisions under the supply chain system boundary.

The input data are collected from an IoT-enabled system under a BIM system and Hong Kong government reports. Thus, the relationship between construction cost influential factors can be investigated.

This paper quantifies indirect influencing factors and clarifies the specific features in prefabricated construction. The contractor could identify these factors to make decisions and classify the levels of influence under the supply chain system boundary.