General-Purpose Situational Simulation Environment for Construction Education

The traditional construction education model based on precise well-defined problems and formal definitions is not satisfactorily fulfilling its mission of educating the decision makers of tomorrow. This realization has moved several researchers to explore alternatives where problem solving is carried out in conjunction with the environment, and concepts are embedded in the context promoting learning within the nexus of the activity. Several efforts have been undertaken to develop these environments resulting in a variety of special-purpose situational simulations. However, special-purpose situational simulations exhibit inherent limitations related to their application breadth, flexibility, and promotion of collaborations. These limitations cannot be resolved within the framework of special-purpose learning environments. A general-purpose environment is required to overcome these shortcomings and take full advantage of the situational learning paradigm. This paper describes the conceptual framework and pilot implementation of such an environment called the Virtual Coach.     

Interval Temporal Logic in General-Purpose Situational Simulations

The need for contextually rich educational environments in construction engineering and management calls for the development of situational simulations. Situational simulations emulate real processes and provide temporally dynamic clinical exercises that expose participants to rapidly unfolding events and the pressures of decision making. A survey of simulations of construction management processes and construction operations shows that commonly used discrete event simulation paradigms are unsuitable for representing actions and events in interactive general purpose situational simulations for the construction domain. Instead, this paper argues that a definition of the situational environment using the semantics of constraint satisfaction and an interval representation of time is more appropriate for representing activities, events, actions, and situations relevant to the construction domain. This paper also illustrates how this new paradigm facilitates the implementation of a reasoning mechanism that can be used by a software agent to perceive present actions and predict the future evolution of a simulated environment.     

Modeling the Construction Management Process to Support Situational Simulations

Construction managers are decision makers who administer nontrivial processes. The replacement of highly experienced construction managers and other construction professionals is a laborious process for the industry. This paper introduces a conceptual framework for the construction management practice that serves as the foundation for the development of situational simulations. Situational simulations are temporally dynamic clinical exercises with the objective of exposing participants to rapidly unfolding events and the pressure of decision making. The application of situational simulations provides construction managers and other decision makers the opportunity of experiencing and responding to risky events without endangering the success of real projects, further enhancing their decision-making skills. The construction management conceptual framework includes a process, a product, and an information model. The analysis of a basic mathematical representation of the process model is the focus of this paper.     

Characterization of Laser Scanners and Algorithms for Detecting Flatness Defects on Concrete Surfaces

In many construction and infrastructure management projects, it is important to ensure the flatness of concrete surfaces. Inspectors assess the quality of flat surface construction by checking whether a surface deviates from perfectly flat by more than a specified tolerance. Current flatness assessment methods, such as using a straightedge or shape profiler, are limited in the speed or density of their measurements. Laser scanners are general-purpose instruments for densely and accurately measuring three-dimensional shapes. In this paper, we show how laser scanners can be effectively used to assess surface flatness. Specifically, we formalize, implement, and validate three algorithms for processing laser-scanned data to detect surface flatness deviations. Since different scanners and algorithms can perform differently, we define an evaluation framework for objectively evaluating the performance of different algorithms and scanners. Using this framework, we analyze and compare the performance of the three algorithms using data from three laser scanners. The results show that it is possible to detect surface flatness defects as small as 3 cm across and 1 mm thick from a distance of 20 m.     

Benchmarking Framework to Measure Extent of ICT Adoption for Building Project Management

This paper discusses a component of the research study conducted to provide construction organizations with a generic benchmarking framework to assess their extent of information communication technology (ICT) adoption for building project management processes. It defines benchmarking and discusses objectives of the required benchmarking framework and development of the framework. The study focused on ICT adoption by small and medium enterprises (SMEs) in the construction industry and with respect to SMEs it is important to understand processes, their indicators, and measures in the local context. Structure of the suggested benchmarking framework has been derived after extensive literature survey and a questionnaire survey conducted in the Indian construction industry. The suggested benchmarking process is an iterative process divided into four stages. It can be implemented at organization and industry levels for rating the construction organizations for ICT adoption and performance measurement. The framework has a generic structure and can be generalized and applied for other countries with due considerations.     

Poisson Model of Construction Incident Occurrence

Construction incidents are essentially random events because they have a probabilistic component that causes their occurrence to be indeterministic. Thus, as with most random events, one of the best ways to understand and analyze construction incidents is to apply statistical methods and tools. Consequently, this paper presents a statistical framework based on the modified loss causation model (MLCM). Even though the MLCM has been used for the framework, the approach can be readily adapted for other incident causation models. The MLCM is separated into two basic components: random and systematic. The random component is represented by a probability density function (PDF), which has parameters influenced by the systematic component of the MLCM, while the systematic component is represented by the situational variables and quality of the safety management system. In particular, this paper proposes that the PDF can be represented by the Poisson distribution. Besides being a convenient and simple distribution that can be easily used in applications, the Poisson distribution had been used in various industries to model random failures or incidents. The differences in contexts and the undesirable effects of adopting an unrepresentative distribution will require formal analysis to determine the suitability of the Poisson distribution in modeling the random component of construction incident occurrence. Incident records for 14 major projects were used in the analysis. Hypothesis testing using the chi-square goodness-of-fit and dispersion tests shows that the incident occurrences can be modeled as a Poisson process characterized by some mean arrival rate. The paper also presents some applications of the proposed Poisson model to improve construction safety management, focusing on two specific concepts: the Bayesian approach and the partitioned Poisson.     

Situational Reengineering: Case Study Analysis

Owners and contractors faced with the drastic consequences of a “crisis” often accomplish projects whose short schedules, tight budgets, or technical complexity require adoption of extraordinary approaches to design and construction. Crisis or “exceptional” projects occur for many reasons; industrial accidents or acts of God cause damage to crucial manufacturing capacity or changes in the economy or international markets require a rapid product to market cycle. Often, these crisis projects are completed in record time, with superior quality or within a very low budget. It is also common on exceptional projects for strategies that are designed to (say) reduce schedule, to exhibit collateral beneficial impacts on the project's cost or quality. The research reported herein, investigates 30 exceptional projects to identify and document work process changes and their impact on cost and schedule as compared to traditional projects of similar scope and complexity. Results illustrate that changing work processes and providing appropriate cultural environments can result in significant schedule reduction (35%) with no increase in project costs. Additionally, over half of the exceptional projects studied demonstrate a reduction in cost as well as a reduced schedule. Fundamentally, this paper demonstrates the efficacy of ingenious and innovative changes to existing work paradigms in response to a variety of situational requirements. Additionally, this paper includes a discussion of barriers to implementation and organizational issues surrounding situational reengineering.     

Collaboration Environments for Construction: Implementation Case Studies

Although emerging technologies offer the construction industry many opportunities for computer supported collaboration environments, the companies adopting these technologies usually fail in achieving the full benefits from their implementations. The reason for this is found to be focusing too much on the technical factors and ignoring or underestimating the factors related to change, implementation, human and organizational factors, and the roles of the management and end users. Each new information technology (IT) implementation involves some change for the organization and the employees, and is therefore a source of resistance and confusion unless special attention is paid to managing this change. This paper aims to review the related theoretical concepts and previous work on success factors for collaboration environment implementations and failure reasons for IT, and to present the current approaches adopted by construction organizations implementing collaboration environments. In order to achieve these aims, the results of an extensive literature review on general causes of failure in IT implementations are presented, and the key areas to focus on during IT design and implementation are highlighted and explained. The results of exploratory case studies are summarized to show the current IT implementation and collaborative working approaches in the United Kingdom construction industry and interpreted using a systems thinking approach. The paper then concludes with some insights into how construction organizations can improve the implementation of collaboration systems.     

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.     

Automated Classification of Construction Project Documents

The number of documents generated in a construction project and stored in interorganizational information systems is significant. Since a large percentage of these project documents are generated in text format, methods for organizing and improving access to the information contained in these types of documents become essential to construction information management. Information classification schemes can be used for this purpose. They provide a common framework to enact document organization and information exchange among project members. Current systems for document management rely on manual classification methods controlled by human experts. Due to the widespread use of information technologies for construction, the increasing availability of electronic documents, and the development of systems based on project object models, manual classification becomes unfeasible. This paper presents a unique way to improve information organization and access in interorganizational systems based on automated classification of construction project documents according to their related project components. Machine learning methods were used for this purpose. A prototype of a document classification system was developed to provide easy deployment and scalability to the classification process.     

Integration of Municipal Infrastructure Asset Management Processes: Challenges and Solutions

Municipal infrastructure management decision making is inherently an integrated process that requires the assimilation of a multitude of data, processes, and software systems. Current work practices have resulted in significant process and data fragmentation, which have subsequently created much inefficiency that impedes the implementation of effective management strategies. There is a broad consensus in the industry that adopting integrated multidisciplinary approaches is a key requirement for implementing efficient, sustainable, and proactive asset management programs. This paper discusses the main challenges for implementing integrated municipal infrastructure management environments, and proposes specific solutions to address these challenges. The proposed solutions address the systematization and coordination of work processes, the development of centralized shared data repositories based on nonproprietary integrated data models, and the organization and integration of distributed software tools into a modular and extensible enterprise-wide software environment. The implementation of a prototype sewer management environment based on the proposed solutions is also presented.     

Comparable Performance Measurement System for Construction Companies

The construction industry has mainly relied on financially focused performance measurements, and studies on performance measurement systems (PMSs) have been carried out at the project level. However, recently, the demand for performance evaluation and management at the company level has increased. A few previous efforts have aimed to develop a conceptual framework for company performance, but there have been few follow-up studies. From this perspective, we have developed an implementation model and practical methodology to measure and compare the performance of construction companies. First, our thorough qualitative and quantitative analysis was used to develop a set of indicators for performance measurement, and an analysis of the relative weightings of the indicators was carried out. Second, we calculated the performance score of construction companies using a study of 34 Korean construction companies. Finally, we carried out a performance evaluation and system analysis using the calculated performance scores and identified practical issues for the implementation of our PMS. Using the results of our analytical processes identified in this work, further research is suggested.     

Design of Highway Bridges: Natural Place for CBR

The paper addresses a model, a framework, and an implemented system for supporting design activities where the use of case-based reasoning may reveal particular appropriateness. In the proposed environment, special attention is given to the synthesis of solutions by means of adaptation. A pragmatic combination of a number of artificial intelligence (AI) techniques, considering case-based reasoning (CBR) as the framing concept, enables the implementation of a system that conveniently supports most designers’ cognitive needs. The design of highway bridges was the chosen domain of discourse, for it represents an excellent example for demonstrating the potential of analogy in design. Thus, a large base of real cases is built. The induction of new knowledge is performed by extraction, association, and regression processes. Finally, a real context is used to illustrate the use of the model and to demonstrate its utility and capabilities in supporting designers’ decisions, particularly on the synthesis—i.e., adaptation—of solutions.     

Application Framework for Mapping and Simulation of Waste Handling Processes in Construction

This research is focused on modeling waste-handling processes in construction, with particular emphasis on how to map out and simulate on-site waste sorting processes. The research proposes an application framework for (1) guiding the development of process mapping models and simulation models; and (2) further assessing the cost effectiveness of on-site waste sorting efforts under practical site constraints (such as labor resource availability, time control on refuse chute usage, and limited working area space in a building site). The connection has been established between the mapping and simulation techniques in the context of modeling waste handling processes in construction sites, such that the process flowchart resulting from the mapping technique can serve as convenient model input to facilitate the creation of a “dynamic” operations simulation model. A case study of the on-site waste sorting method with one refuse chute for waste classification is presented to demonstrate the complete application framework spanning (1) process mapping; (2) mapping-to-simulation model conversion; and (3) method optimization based on valid simulations.     

Empiricist Framework for TQM Implementation in Construction Companies

As a management philosophy, total quality management (TQM) is implemented differently in firms. This study investigates the implementation level and the types of TQM practices adopted in construction companies. Eight elements had been identified from both organizational-/management- and construction-related studies to represent the TQM spirit. These elements are top management leadership, customer management, people management, supplier management, quality information management, process management, organizational learning, and continual improvement. A questionnaire survey was conducted to solicit the implementation level of the identified TQM elements. The survey findings indicate that customer, process management, and top management leadership were implemented at a higher level than the remaining elements with quality information management implemented at the lowest level. Important practices that constitute each element were also identified. Based on the findings, we propose a TQM implementation framework for construction companies.     

Human Factors Analysis Classification System Relating to Human Error Awareness Taxonomy in Construction Safety

In several studies it is widely accepted that human error is the main reason for up to 80% of all incidents and accidents in complex high-risk systems that exist in the aviation, petrochemical, healthcare, construction, mining, and nuclear power industries. The construction industry, greatly impacted by accidents, is accountable for more than 1,000 fatalities in each of the past 14 years. The human factors analysis classification system (HFACS) is a general human error framework originally developed and tested as a tool for investigating and analyzing the human causes of accidents with applications to rail, air, and offshore environments. This paper introduces the concept of HFACS along with the framework of human error awareness training (HEAT) and their potential contribution to the construction industry. Based on the HEAT approach, this paper proposes a new error analysis educational and classification tool for safety within the construction industry. The primary difference between HFACS and HEAT is found in the structure, content, and presentation of the information allowing for higher effectiveness in incident investigation and safety education and training in construction.     

Reengineering a surgical service line: focusing on core process improvement

Integrating principles from a variety of theory has led to the development of a conceptual framework for reengineering in a clinical care delivery setting to improve the value of services provided to the customer. A conceptual framework involving the identification of three high level core processes to reengineer can provide clarity and focus for clinicians to begin directing reengineering efforts. Those core processes are: clinical management of the patient's medical needs, patient operational processes to support the clinical processes, and administrative decision-making processes to support the implementation of the clinical and operational processes. Improvement in any one of these areas has the potential to increase value, but the concurrent targeting of these core processes for reengineering has provided a synergy that has accelerated the achievement of the desired outcomes in the area of surgical services.     

Constructibility Issues for Highway Projects

State transportation agencies recognize the need for contract documents that will ensure rational bids and minimize problems during construction of facilities. A significant aspect of developing high-quality contract documents is to incorporate constructibility reviews into project planning and design. Before state transportation agency management can address constructibility implementation, critical issues affecting implementation must be understood. A survey was conducted to capture specific constructibility issues from the perspective of agencies, design firms, and construction contractors. These issues are categorized into those relevant to project execution processes, project planning and technical design documents, and project resources. Analysis and interpretation of the issues within these three categories suggest eleven paradigm shifts that state transportation agency management must address to successfully implement a constructibility program.     

Implementation intentions: Strong effects of simple plans.

When people encounter problems in translating their goals into action (e.g., failing to get started, becoming distracted, or falling into bad habits), they may strategically call on automatic processes in an attempt to secure goal attainment. This can be achieved by plans in the form of implementation intentions that link anticipated critical situations to goal-directed responses ("Whenever situation x arises, I will initiate the goal-directed response y!"). Implementation intentions delegate the control of goal-directed responses to anticipated situational cues, which (when actually encountered) elicit these responses automatically. A program of research demonstrates that implementation intentions further the attainment of goals, and it reveals the underlying processes. (PsycINFO Database Record (c) 2010 APA, all rights reserved)