Abstract
In this paper a hierarchical risk breakdown structure representation is used to develop qualitative risk assessment in a IPMA project. A common language for describing risks so as to achieve consistent quantification likelihoods and impacts is presented. The relationships between risks and their consequences are represented. These diagrams and the concepts of Fuzzy Delphi method are applied to identify relationships between risks and consequences on project performance measures. A methodology based on IPMA Competence Baseline (ICB) standards and Fuzzy Delphi developed by the International Project Management Association’s (IPMA) and the project management baseline (pmb) is described. Following a similar approach, a relative small, low budget and non-complex photovoltaic power plant, presenting an actual case study of the installation of a 10 kW, roof-top, integrated photovoltaic system, for domestic use, in a residence building in the region of East Attica, Greece is presented. At first, a brief description of the system of the project is summarized, including general information and basic technical characteristics. Next, the basic project planning documents, in the form of tables or charts, are deployed, taking into account the sequence they follow and the interrelationships between them. Finally, general conclusions regarding the whole process are stated.
Highlights
Systemic project risk management has an effect on a projects success
The most applied and wide spread International Project Management Association (IPMA) Standard is the IPMA Competence Baseline (ICB) [14], a common framework document developed in the 90s to ensure that consistent and harmonized standards are applied when handling with projects and programs
[18] The aim of the present paper is to demonstrate the process of managing the project of the installation of a photovoltaic (PV) power plant, according to the IPMA standards
Summary
Systemic project risk management has an effect on a projects success. It has been found that there is a strong relationship between the amount of risk management efforts undertaken in a project and the level of the projects success [1]. Existing approaches may be summarized as a four-phase process for effective project risk management, i.e., identifying, assessing, responding, and monitoring and/or reviewing risks. Construction risks are classified in many ways by risk types (i.e., natures and magnitudes, etc.), the sources and/or origins, or the project phase [6,7]. The fourth component, risk analysis, consists of the following three steps: natural language computation, fuzzy set risk evaluation, and Odysseas Manoliadis: The Assessment of Construction Project Risks with the Use of Fuzzy Delphi Methodology-. In this paper we classify risks using a hierarchical risk breakdown structure in every aspect of life cycle analysis (design, management construction etc.) according to IPMA standards. The questionnaire was conducted from April 2016 – October 2016 among clients, designers, general contractors, subcontractors and suppliers of building materials
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