Component-Based Framework for Implementing Integrated Architectural/Engineering/Construction Project Systems

Current practices and integration trends in the architectural/engineering/construction (A/E/C) industry are increasing the demands for the implementation and deployment of integrated project systems. Much of the research throughout the last decade was driven by the need to develop integrated project systems and standard industry-wide data models to support their development. This paper presents a multitier component-based framework that aims to facilitate the implementation of modular and distributed integrated project systems that would support multidisciplinary project processes throughout the project life cycle. The framework addresses the specific requirements of A/E/C projects, and highlights the required functionality and approach to develop integrated project systems. The framework defines a three-tier architecture: Applications tier, common domain-services tier, and project data-repository tier. The applications tier includes a set of function-specific software tools that interact with the domain-services-tier components via a set of adapters. Adapters map the applications’ internal proprietary-data models to and from a standard integrated data model. The domain-services-tier components implement a number of generic services, such as data management, transactions management, document management, and workflow management. The data-repository tier represents a centralized shared storage of all relevant project information. The paper also discusses the implementation of a prototype software system that demonstrates the use of the framework’s reusable components and the industry foundation classes data model in typical building projects.     

Knowledge-Assisted Retrieval of Online Product Information in Architectural/Engineering/Construction

With a better understanding about the product market, industry practitioners can make more informed decisions for product specification, selection, and procurement. However, current approaches that support Architectural/Engineering/Construction (A/E/C) information acquisition do not provide a comprehensive market scan. While the Internet provides an ever-growing resource for product information, existing approaches have limited capabilities to make use of this virtual market. Therefore, the writers have developed a knowledge-assisted approach to specifically address the potential of the virtual market—help retrieve A/E/C product information, particularly information about different manufacturers, from the Internet. The paper introduces the building blocks of the developed approach, which includes domain knowledge utilization, information retrieval (IR) techniques, and strategies that incorporate domain knowledge into knowledge-supported IR approaches. Specifically, domain knowledge represented in the form of a thesaurus was used with query expansion strategies under the framework of an adaptation of the extended IR Boolean model. It was concluded from the prototype validation that domain knowledge can be extremely helpful when acquiring A/E/C product information from online resources using the developed approach.     

Domain Ontology for Processes in Infrastructure and Construction

With the increasing demands for domain-wide integrated construction and infrastructure development, there is a need for developing a domain ontology to build a knowledge model that describes the multistakeholder project development process. This paper presents a domain ontology for supporting knowledge-enabled process management and coordination across various stakeholders, disciplines, and projects. The ontological model is composed of concepts, relations, and axioms. Concepts represent the “things” in the domain of interest; relations establish the interconcept links; and axioms specify the definitions of concepts and relations and constraints on their behavior and interpretation. The ontology models the most fundamental concepts in the domain in a structured, extendable, and flexible format to facilitate future evolution and extension of the ontology for representing application-specific and/or enterprise-specific knowledge. The ontology was evaluated through technical evaluation and user evaluation. User evaluation was conducted through one-to-one expert evaluation interviews.     

Development of a Methodology for Live Capture and Reuse of Project Knowledge in Construction

The efforts to share and reuse knowledge generated on construction projects are undermined mainly by the loss of important insights and knowledge due to the time lapse in capturing the knowledge, staff turnover, and people’s reluctance to share knowledge. To address this, it is crucial for knowledge to be captured “live” in a collaborative environment while the project is being executed and presented in a format that will facilitate its reuse during and after the project. This paper uses a case study approach to investigate the end-users’ requirements for a methodology for the live capture and reuse of knowledge, and the shortcomings of current practice in meeting these requirements. A methodology for the live capture and reuse of project knowledge is then presented and discussed. The methodology, which comprises a web-based knowledge base, an integrated work-flow system and a project knowledge manager as the administrator, allows project knowledge to be captured live from ongoing projects. This also incorporates mechanisms to hasten knowledge validation and the dissemination of the knowledge once it has been validated.     

Ontology-Based Approach to Context Representation and Reasoning for Managing Context-Sensitive Construction Information

The construction industry is an information-intensive industry and heavily relies on documents, including physical and virtual documentation and models, to exchange context-sensitive information among different project participants. Many research efforts have been made to help manage construction information; however, few of them considered the context-sensitive nature of the information. In this paper, the writers propose a new approach to facilitate the management of context-sensitive construction information that is stored in different textual documents. The approach addresses the context-sensitive nature of construction information by representing contexts in ontologies and by using contexts as indices of the information. The approach also presents a reasoning mechanism that leverages the semantically rich features of ontologies to reason about contexts to evaluate their applicabilities. Two case studies were conducted, and the results showed the proposed approach can effectively retrieve, classify, and manage construction information. Finally, the writers discuss the limitations of the proposed approach and future research directions.     

Master Builder Project Delivery System and Designer Construction Knowledge

The master builder system for designing and building construction projects was the dominant project delivery system in the construction industry during the early part of the 20th century. Master builders were generally charged with both design and construction services for a project. During the last half of the 20th century, many different systems for project delivery with fragmented responsibilities have replaced the master builder system. Reducing the use of the master builder system has led to the creation of elaborate systems for managing projects in the construction industry. In order to investigate the use of the master builder delivery system and other systems, a research project was conducted that included reviewing (1) the history of the construction industry, (2) project delivery systems, (3) constructability issues, (4) construction industry fragmentation, (5) the results of a survey of architecture, engineering, and construction professionals from the San Francisco Bay Area in California on the current processes they use for training engineers and architects, (6) an analysis of the survey results, (7) construction industry recommendations, and (8) conclusions based on the survey results and analysis. The information obtained from the research project, including the survey and an analysis of the results, is included in this document. The results of the research indicate that reduction in the use of the master builder project delivery system and the rise of numerous fragmented delivery systems have limited the designer’s knowledge of construction processes.     

Exploiting Knowledge Management: The Engineering and Construction Perspective

Construction companies have always relied on their knowledge assets to provide services to clients. In recent years the terminology “knowledge management” has been introduced. Knowledge management (KM) seeks to formalize the manner in which companies exploit their knowledge assets by harnessing organizational knowledge, promoting greater collaboration between groups with similar interests, capturing and using lessons learned on previous projects, etc. This paper investigates how major United States engineering design and construction firms are implementing knowledge management initiatives in order to identify best practice. It adopts a case study methodology to investigate companies’ strategy and implementation, people aspects, and metrics for performance. The study finds that there is a clear distinction between the knowledge management activities undertaken by large engineering design firms and those of construction firms. There is also a much greater emphasis on knowledge sharing, which is just one component of knowledge management. Moreover, some companies have specific KM initiatives while others have activities that are part of their normal business processes.     

Construction Engineering Process and Knowledge Requirements for Fostering Creative Design Solutions on Infrastructure Projects

Construction engineering for major infrastructure projects covers a wide range of activities to evaluate and select the techniques for assembling materials and components. Construction engineering inherently presents a very challenging opportunity for creative design, particularly on infrastructure projects. This construction engineering activity can be described as one of creating and developing workable, cost-effective, low-risk technical solutions for an array of infrastructure construction problems that must be solved from the plans and specifications stage through facility completion. The purpose of this paper is to illustrate a 10-step construction engineering process and define important knowledge requirements to foster creative design solutions using four case studies, including (1) positioning and holding a concrete bridge caisson in a 7-knot tidal current for a 4-month period; (2)?skidding a 55,000-t immersed tube tunnel element 200?m on dry land from casting site to launch site; (3)?building a major dam without the use of river diversion or on-site dewatering systems; and (4)?building underwater bridge piers without the use of conventional bottom-founded cofferdams. The creative design process was able to successfully devise a plan for solving highly technical construction challenges using a process-based approach. The key requirements of knowledge, skill, and experience necessary to perform these activities are presented to assist construction engineers in preparing for these creative opportunities.     

Identification of Effective Management Practices and Technologies for Lessons Learned Programs in the Construction Industry

Organizations in the construction industry cannot afford to make repetitive mistakes on major projects. Conversely, there are great benefits to repeating positive experiences from past projects. This need for institutional memory is amplified by the reality that in the course of normal turnover and retirement, people with years of experience leave their organizations. An effective lessons learned program is a critical element in the management of institutional knowledge; it will facilitate the continuous improvement of processes and procedures and provide a direct advantage in an even more competitive industry. This paper describes a research study that aimed to identify effective management practices and technologies for lessons learned programs in the construction industry. Data from 70 organizations that participated in this study are presented. Research found that even though more lessons learned programs are being initiated, the potential for savings and improvement has not been fully met. The study has also identified seven crucial characteristics of a successful program and verified that most organizations are stronger in some categories and weaker in others. The key to an effective program is to address all seven areas and guidance is provided for those wishing to implement lessons learned programs.     

Incorporating Domain Knowledge and Information Retrieval Techniques to Develop an Architectural/Engineering/Construction Online Product Search Engine

This paper introduces a domain-specific search engine, which was developed to take advantage of the growing online product information for surveying the virtual product market. Knowledge about a product was uniquely incorporated with query expansion operations and the extended Boolean model retrieval approach to handle issues associated with the search engine development. The search engine was designed to (1) represent and utilize the represented knowledge in the product domain; (2) identify online product information; and (3) then evaluate the collected online product information. A prototype search engine for testing was developed and statistically validated with five data sets with each data set being derived from a different type of product according to MasterFormat (Alexandria, Va.) categorization. The validation results indicated that compared with the tested general search engine or aggregated information service, the prototype was able to identify more distinct product manufacturers for procurement-related decision support.     

Building Integrated Architecture/Engineering/Construction Systems Using Smart Objects: Methodology and Implementation

Integrated project systems hold the promise for improving the quality while reducing the time and cost of architecture/engineering/construction (AEC) projects. A fundamental requirement of such systems is to support the modeling and management of the design and construction information and to allow the exchange of such information among different project disciplines in an effective and efficient manner. This paper presents a methodology to implement integrated project systems through the use of a model-based approach that involves developing integrated “smart AEC objects.” Smart AEC objects are an evolutionary step that builds upon past research and experience in AEC product modeling, geometric modeling, intelligent CAD systems, and knowledge-based design methods. Smart objects are 3D parametric entities that combine the capability to represent various aspects of project information required to support multidisciplinary views of the objects, and the capability to encapsulate “intelligence” by representing behavioral aspects, design constraints, and life-cycle data management features into the objects. An example implementation of smart objects to support integrated design of falsework systems is presented. The paper also discusses the requirements for extending existing standard data models, specifically the Industry Foundation Classes (IFC), to support the modeling of smart AEC objects.     

Domain Taxonomy for Construction Concepts: Toward a Formal Ontology for Construction Knowledge

With the advancement of the semantic web, the construction industry is at a stage where intelligent knowledge management systems can be used. Such systems support more effective collaboration, where virtual teams of skilled users, not software, exchange ideas, decisions, and best practice. To achieve that, there is a need to create consistent semantic representation of construction knowledge. Existing representations, in the form of classification systems and product data models, lack effective modeling of concept semantics—a fundamental requirement for human-based exchange of knowledge. Toward this objective, this paper presents a domain taxonomy that was developed as part of the e-COGNOS project. The taxonomy was developed as a first step in the establishment of domain ontology for construction. The taxonomy was developed to be process-centered and to allow for utilization of already existing classification systems (BS6100, Master Format, and UniClass, for example). The taxonomy uses seven major domains to classify construction concepts: Process, Product, Project, Actor, Resource, Technical Topics, and Systems. The taxonomy was developed and validated through extensive interaction with domain experts. The taxonomy was used to develop a prototype ontology for the construction domain including semantic relationships and axioms. The ontology was used to support several applications in semantic knowledge management as part of the e-COGNOS portal, including semantic indexing and retrieval of information and ontology-based collaborative project development.     

Capturing Knowledge in Construction Projects: Knowledge Platform for Contractors

Managing knowledge effectively is critical to the survival and advance of a company, especially in project-based industries such as construction. However, capturing knowledge in construction projects is a tedious task, as knowledge is usually experience based, tacit, and hard to pass on to others. In this study, a survey was carried out among eight leading Turkish construction contractors that are operating within the international construction market. The specific objectives of this survey are to find out how the tacit and explicit knowledge are captured, stored, shared, and used in forthcoming projects, as well as major drivers and barriers for knowledge management. Based on the survey, it was determined that most of these firms do not have a knowledge management strategy and a systematic way of capturing and storing tacit knowledge. A conceptual framework is proposed to formalize the knowledge-capturing process within construction companies. To demonstrate how the conceptual framework can be implemented in practice, a Web-based system, namely, Knowledge Platform for Contractors (KPfC) is presented. It is hypothesized that KPfC can be used to manage both tacit and explicit knowledge effectively in construction projects.     

Extended Production Integration for Construction: A Loosely Coupled Project Model for Building Construction

The construction industry is very diverse and consists of businesses that vary in size and ability to adopt information technology. Previous implementations of the project model have been based on information standards that have often adopted closely coupled collaborations. However, it is difficult to take a top down method and require participants to conform to universally accepted standards for the details of their operation. The proposed extended production integration for construction model is a loosely coupled process integration system that allows the participants to maintain a high level of independence as well as the integrity of their existing computer systems. The system is supported by a viable collaboration mechanism. A conceptual model for construction projects is proposed based on the study of events, contract conditions, and their impacts on the collaborations and interactions among participants. Events were identified as the major issue that the system needs to consider in order to conduct the collaboration work. Contract conditions were converted and used as guidelines to create enforceable rules in the system. A prototype system based on the proposed model was developed using Java, CORBA, and UML. A case study involving construction change orders was used to demonstrate the functionality of the prototype system. The factors that impact the efficiency of the system for the case study were determined through sensitivity analyses and comprehensive simulations. The results indicate that the system achieves a high level of efficiency when complicated changes are involved, which cause a higher rejection rate within the system.     

Examining the Relationship between Organizational Learning Styles and Project Performance

A review of literature on organizational learning suggested that organizations mainly exhibit three types of learning styles: single-loop learning (SLL), double-loop learning (DLL), and deutero learning (DeuL). SLL refers to the detection and correction of errors without adjusting one’s underpinning assumptions about performance requirements. DLL refers to improvement actions which are undertaken in response to the change of one’s underpinning assumptions. DeuL refers to the establishment of a system which propels continuous learning. It has been advocated that effectuating these learning styles are critical for attaining continuous project performance improvement. This paper reports a study that aimed to examine the relationship between organizational learning styles and performance improvement in construction projects. A conceptual model for the same was first developed. Data about the contracting organizations’ practice of learning styles and project performance were collected through a questionnaire survey. Structural equation modeling was used to examine the significance of the relationship between organizational learning styles and project performance improvement. It was found that the attainment of project performance improvement was positively related to the practice of DLL. Further, DeuL was found essential for facilitating the practice of SLL and DLL.     

Applying Concept Similarity to the Evaluation of Common Understanding in Multidisciplinary Learning

The success of an architecture, engineering, and construction (AEC) project largely depends on the effective collaboration of project participants. This characteristic of the industry requires that AEC education shall foster multidisciplinary collaboration skills of students. On the other hand, many AEC education programs have started using information and communication technologies (ICTs) to facilitate teaching and learning such as distance learning. One of the challenges in a computer-mediated learning environment arises from the need for computer systems to determine whether a common understanding regarding a certain subject is established among a group of students. To achieve this goal, ICT needs to be able to detect changes in the knowledge structure of students in order to provide better mediation. This paper presents a study on the development of a concept similarity measure that has less computational complexity than graph-based similarity analyses. The similarity measure is intended to determine the similarity of multiple knowledge structures [e.g., concept maps (CMAPs)] of students. The concept similarity measure is developed based on the feature-based method in which propositions associated with a concept are considered as features of the concept. Therefore, the similarity of concepts can be measured by comparing the propositions of the concepts. In addition, since concepts are the key component of a knowledge structure, the common understanding of students can be determined by measuring the similarity of concepts in the knowledge structure of the students. The proposed measure is evaluated by (1) comparing it with the Dice coefficient for analyzing two sets of concepts; (2) analyzing its performance in a generic case of four CMAPs; and (3) applying it to a case using “photovoltaic system” as an example. In this case, results are intuitively obvious so that calculation results can be corroborated by human judgment. Finally, the concept similarity measure is applied to derive the similarity of CMAPs in the case study. Based on the initial evaluations, this study shows that the proposed measure has demonstrated promising features for determining the similarity of multiple knowledge structures or the common understanding of students. However, when the number of knowledge structures increases, concept similarity analyses become more complicated because uncertain situations arise due to ambiguous human perception to propositions that are shared by multiple concepts. Future research is thus needed to understand and clearly define concept similarity in those situations. In addition, other studies are also identified for future research.     

Fuzzy Intellectual Capital Index for Construction Firms

Construction firms are now operating in a new era. Gaining and sustaining competitive advantage in this era primarily depends on effective and efficient management of knowledge assets. This paper proposes a performance evaluation model called fuzzy intellectual capital index (FICI) that can guide construction business executives to effectively and efficiently manage their knowledge assets. FICI incorporates an intellectual capital performance measurement model with fuzzy set theory to adequately handle imprecision, vagueness, and uncertainty that prevail in this process. FICI uses the fuzzy-weighted average algorithm to compute the intellectual capital performance of architectural/engineering/construction (A/E/C) firms. It is an internal reporting model that can guide executives of A/E/C firms to evaluate their firm’s ability to achieve their strategic objectives and to pinpoint their firm’s strengths and weaknesses in order to neutralize threats and to exploit opportunities presented by today’s construction business environment. A real-world case study is presented to illustrate the implementation and utility of the proposed model. Implications for practitioners and directions for future research are discussed.     

Case-Based Reasoning Approach to Construction Safety Hazard Identification: Adaptation and Utilization

Risk assessment, consisting of hazard identification and risk analysis, is an important process that can prevent costly incidents. However, due to operational pressures and lack of construction experience, risk assessments are frequently poorly conducted. In order to improve the quality of risk assessments in the construction industry, it is important to explore the use of artificial intelligence methods to ensure that the process is efficient and at the same time thorough. This paper describes the adaptation process of a case-based reasoning (CBR) approach for construction safety hazard identification. The CBR approach aims to utilize past knowledge in the form of past hazard identification and incident cases to improve the efficiency and quality of new hazard identification. The overall approach and retrieval mechanism are described in earlier papers. This paper is focused on the adaptation process for hazard identification. Using the proposed CBR approach, for a new work scenario (the input case), a most relevant hazard identification tree and a set of incident cases will be retrieved to facilitate hazard identification. However, not all information contained in these cases are relevant. Thus, less relevant information has to be pruned off and all the retrieved information has to be integrated into a hazard identification tree. The proposed adaptation is conducted in three steps: (1) pruning of the retrieved hazard identification tree; (2) pruning of the incident cases; and (3) insertion of incident cases into the hazard identification tree. The adaptation process is based on the calculation of similarity scores of indexes. A case study based on actual hazard identifications and incident cases is used to validate the feasibility of the proposed adaptation techniques.     

Application of Dependency Structure Matrix for Activity Sequencing in Concurrent Engineering Projects

The dependency structure matrix (DSM) has been identified as an apt tool to represent information flows between activities. Using this representation, information dependency attributes can be organized and analyzed in a structured manner to identify activity groups and sequences for concurrent execution. Current DSM methodology requires significant efforts from the experts to estimate information dependency attributes. The methodology can be more widely used if the estimating efforts are reduced. This paper proposes two concepts to reduce the estimating efforts required for the DSM methodology. The first concept reduces the number of information dependency ratings required and the second concept reduces the effort to estimate the rating. The proposed concepts are structured into a procedure. This procedure is applied to the design phase of an induced draft cooling tower (IDCT) project and discussed. The paper also discusses the shortcomings and future directions of the present approach and concludes that the present approach is applicable in IDCT projects and can be extended to other types of projects.