Volume 22 (2024)
Volume 21 (2023)
Volume 20 (2022)
Volume 19 (2021)
Volume 18 (2020)
Volume 17 (2019)
Volume 16 (2018)
Volume 15 (2017)
Volume 14 (2016)
Volume 13 (2015)
Volume 12 (2015)
Volume 11 (2014)
Volume 9 (2012)
Volume 10 (2012)
Volume 8 (2010)
Volume 6 (2007)
Volume 5 (2006)
Volume 4 (2006)
Volume 3 (2005)
Volume 2 (2004)
Volume 1 (2003)
supply chain management
Modeling and scenario analysis of coping strategies for the ripple effect in Iran's food products supply chain: Fuzzy cognitive mapping approach

Ali Mirzaei; Esmaeil Mazroui Nasrabadi

Volume 22, Issue 72 , May 2024, , Pages 227-269

https://doi.org/10.22054/jims.2024.76091.2880

Abstract
  The supply chain of the food industry is crucial for countries, yet it is vulnerable to disruptions caused by natural disasters like floods, frost, and heatwaves, as well as operational shutdowns. These disruptions can trigger a ripple effect throughout the food supply chain, posing significant challenges ...  Read More

Maskan bank branches efficiency assessment of Fars province using a combination of balanced scorecard approach and fuzzy cognitive map

Morteza Shafiee

Volume 16, Issue 51 , January 2019, , Pages 29-54

https://doi.org/10.22054/jims.2019.16056.1570

Abstract
  In today's competitive and global economy, the life and activity of the organization is determined by the ability to compete and adopt the most appropriate policy against environmental changes. In this regard, the knowledge about the performance of all aspects of the organization is vital for management ...  Read More

A hybrid method using fuzzy cognitive map- DEA to study the delays in construction projects

Samuel Yousefi; Serveh Kakaei; Mustafa Jahangoshai Rezaee

Volume 15, Issue 45 , July 2017, , Pages 177-207

https://doi.org/10.22054/jims.2017.7615

Abstract
  Delay is a common occurrence in the country's construction projects. Identifying delay factors in these projects and determining the influence of these factors is necessary to achieve the objectives of management. In this study, the effective delay factors on construction projects are identified by using ...  Read More