Sub-contractor selection in the bidding process Bidding process in the construction industry

Sub-contractor selection in the bidding process Bidding process in the construction industry Research Highlights ? We create a computer supported collaborative work environment for implementing value management in construction briefing. ? It is knowledge-based so that inexperienced briefing takers can easily retrieve, learn and use relevant knowledge from previous projects. ? It encourages participation of briefing team members, enhances interaction among them, and shortens time for VM studies. Integrated knowledge management model and system for construction projects Original Research Article Engineering Applications of Artificial Intelligence Research highlights ? We present a state-of-art on occupational risk assessment methods for construction. ? We also discuss methods’ limitations. ? Advantage of using fuzzy sets approaches to deal with ill-defined situations. A pragmatic representation of systems engineering based on technological learning Original Research Article Technovation In the past there has been no structured approach to learning from construction projects once they are completed. Now, however, the construction industry is adapting concepts of tacit and explicit knowledge management to improve the situation. Top managers generally assume that professionals in enterprises already possess tacit knowledge and experience for specific types of projects. Such knowledge is extremely important to organisations because, once a project is completed, professionals tend to forget it and start something new. Therefore, knowledge multifold utilisation is a key factor in productively executing a construction project. This paper discusses the benefits of knowledge management to construction industry organisations and projects and emphasises the significance of tacit knowledge. The main purpose of this paper is to present the integrated knowledge management model for the construction industry as well as system architecture and system of the Knowledge Based Decision Support System for Construction Projects Management (KDSS-CPM) which the authors of this paper have developed. Different knowledge management models that are presented in scientific literature are discussed and compared, and the proposed new, KDSS-CPM model, as developed by this paper’s authors, is introduced. A pragmatic representation of systems engineering based on technological learning Original Research Article Technovation Article Outline 1. Introduction 2. Development of the integrated knowledge management model for construction projects 3. Knowledge based decision support system for construction projects management (KDSS-CPM) 4. Case study 5. Conclusion remarks References Vitae Occupational risk assessment in construction industry – Overview and reflection Review Article Safety Science The construction industry is plagued by occupational risky situations and poor working conditions. Occupational risk assessment (ORA) on workplace sites is the first and key step to achieve adequate safety levels, particularly to support decision-making in safety programs. Most construction safety efforts are applied informally under the premise that simply allocating more resources to safety management will improve safety on site. Moreover, there are many traditional methods to address ORA, but few have been adapted and validated for use in the construction industry, particularly in the design stage, for which traditional approaches do not give adequate answers. This paper presents a state-of-the-art on ORA traditional methods, for the construction industry, discussing their limitations and pointing advantages of using fuzzy sets approaches to deal with ill-defined situations. Article Outline 1. Introduction 2. Background on safety and associated costs in the construction industry 2.1. Root causes influencing safety performance 2.2. Costs of injuries and illnesses 3. ORA traditional methods – an overview 3.1. ORA purpose 3.2. ORA methodologies 3.3. ORA on the construction industry 4. Limitations of ORA traditional methods in the construction industry 4.1. General limitations 4.2. Specific methods limitations when applied to construction industry 5. Fuzzy logic in ORA 6. Fuzzy approaches for ORA 7. Summary and conclusions Acknowledgements References ‘Submarines don’t leak, why do buildings?’ Building quality, technological impediment and organization of the building industry in Hong Kong Original Research Article Habitat International Synergising R&D initiatives for e-enhancing management support systems Original Research Article Automation in Construction A group decision support system for implementing value management methodology in construction briefing Original Research Article International Journal of Project Management