Volume 27 (2023)
Volume 26 (2022)
Volume 25 (2021)
Volume 24 (2020)
Volume 23 (2019)
Volume 22 (2018)
Volume 21 (2017)
Volume 20 (2016)
Volume 19 (2015)
Volume 18 (2014)
Volume 17 (2014)
Volume 16 (2012)
Volume 15 (2011)
Volume 14 (2010)
Volume 13 (2010)
Volume 12 (2009)
Volume 11 (2007)
Volume 10 (2006)
Volume 9 (2005)
Volume 8 (2004)
Volume 7 (2003)
Volume 6 (2002)
Volume 5 (2001)
Developing a Framework for Applying Risk Management in a Fuzzy Environment for Implementing Construction Projects Value Engineering: Case of Khorramshahr Port

Amin Zamani; Mostafa Khanzadi; Mohammad Saeed Jabal Ameli; Mehrdad Sarhadi

Volume 21, Issue 3 , December 2017, , Pages 139-166

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 ...  Read More

Developing a path analysis model on enterprise strategy map based on balanced scorecard via Bayesian networks (Case Study: A Investment Company)

Ali Reza Aliahmadi; Mohammad Reza Shafeeian

Volume 19, Issue 4 , March 2016, , Pages 21-44

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 ...  Read More

Risk Analysis: A Combined Approach Using Failure Modes and Effects Analysis (FMEA) And Analytical Network Process (ANP)

- -; - -; - -

Volume 14, Issue 4 , March 2011, , Pages 107-136

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 ...  Read More