Developing a Framework for Applying Risk Management in a Fuzzy Environment for Implementing Construction Projects Value Engineering: Case of Khorramshahr Port
Volume 21, Issue 3, Autumn 2017, Pages 139-166
Amin Zamani; Mostafa Khanzadi; Mohammad Saeed Jabal Ameli; Mehrdad Sarhadi
Abstract Value engineering is a powerful tool for solving problems based on creativity and function and it has been used in construction projects for many years and could prove its advantages to all members of this industry in recent years. However, like other tools, it has the ability to upgrade and increase productivity. This study attempts to provide a consolidated framework for value engineering and risk management. Accordingly, after identifying the model’s factors in these two areas, models which are more associated with the construction industry have been chosen. Based on experts' opinions, top models were selected for integration. By using the Delphi method, experts reached a consensus for sequence of the framework steps. After necessary synchronization, this framework implemented in Ports and Maritime Organization as a verification. By using this framework, the process of value engineering is improved. Risk management (associating experts who are aware of all aspects of project) was executed in two levels and based on fuzzy logic. It resulted in spending less time and money.
Developing a path analysis model on enterprise strategy map based on balanced scorecard via Bayesian networks (Case Study: A Investment Company)
Volume 19, Issue 4, Winter 2016, Pages 21-44
Ali Reza Aliahmadi; Mohammad Reza Shafeeian
Abstract For years, researchers and managers have been popular with Balanced Scorecard and during the time, several edits have been developed from this base model. “Strategy map” is a topic that have been invented by researchers of the Balanced Scorecard to ease the understanding of issues that related to the strategic objectives set. The organization's strategic plan to achieve organizational goals, there are several ways that researchers have developed models to analyze these pathways. Bayesian networks, probabilistic networks have many applications in various sciences have provided. In this study, path analysis in Bayesian networks has been the strategy map. In this study, a model is presented by which one can achieve the ultimate goals of risk below the risk-based goals (in lower amounts) can be calculated and appropriate solution to mitigate risks identified organizational goals In this study, an investment firm is studied and the model is implemented and the results have been analyzed.
Risk Analysis: A Combined Approach Using Failure Modes and Effects Analysis (FMEA) And Analytical Network Process (ANP)
Volume 14, Issue 4, Winter 2011, Pages 107-136
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Abstract Risk management and improving the processes’ reliability are important in operations and production management. Failure modes and effects analysis (FMEA) is regarded as one of the most powerful methods in this area. High applicability and proper analyzability have caused FMEA to be among the most important techniques of systems’ risk analysis and safety improvement. On the other hand, widespread application of this method in various fields has revealed some weak points and constrains; subsequently many researchers have offered revisions and modifications on it. In this article, analytical network process (ANP), a modern and powerful method in decision-making field, has been used in combination with FMEA (ANPFMEA) for defeating the shortcomings. ANP-FMEA considers mutual relationships of hazardous factors, and by offering certain structure, develops a systematic and flexible view in risk management scope. The suggested method deploys simple concept of risk priority number and assigns different importance in the form of power for each factor. The resulted RPN will cope better with the system, in which it is applied. This method provides more accurate analysis of risk and, consequently, more efficient and effective actions, causing attainment and maintenance of more desirable reliability.
