Volume 22 (2024)
Volume 21 (2023)
Volume 20 (2022)
Volume 19 (2021)
Volume 18 (2020)
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)
Evaluating the value of e-services (information technology) in Public institutions (Case Study of Tehran Municipality)

Mohammad Ali Khatami Firoozabadi; Abbas Abbasiazar; Mohammad Reza Taqva; kamran feizi

Volume 17, Issue 55 , January 2020, Pages 1-33

https://doi.org/10.22054/jims.2019.24225.1833

Abstract
  AbstractIn this paper, a model for evaluating electronic services in nonprofit institutions is presented. The idea of this model was due to a vacuum of research in this field. Regarding this issue, independent variables have been extracted from the perspective of members of the research community for ...  Read More

Development of multi-objective simulated annealing based decision support system for course timetabling with consideration preferences of teachers and students

shaghayegh Vaziri; Arash Zaretalab; Mani Sharifi

Volume 17, Issue 55 , January 2020, Pages 35-64

https://doi.org/10.22054/jims.2019.29331.1982

Abstract
  Course timetabling problem is a weekly assignment a set of course and teacher to the time and space with considering a lot of hard and soft constraints in universities. In each semester, heads of educational institutes take too much time and effort to prepare a timetable by using trial and error method ...  Read More

A Framework for the Transformation of Tacit Knowledge into Explicit Knowledge in Industries "Case Study of Pars Automotive Industry"

mohammad reza nematollah; majid zamaheni; mohammad reza daraei; amirhossein amirkhani

Volume 17, Issue 55 , January 2020, Pages 65-99

https://doi.org/10.22054/jims.2019.41703.2313

Abstract
  Today, the automotive industry has turned to scientific achievements for employing knowledge management One of them is the lack of attention to the work experience and skills of experienced people. The main goal of this research is to determine the framework for transforming tacit knowledge into explicit ...  Read More

An integrated mathematical model for aircraft routing and crew scheduling for airlines with multi fleet and multi maintenance hub

Alireza Rashidi Komijan; Amin Gordani

Volume 17, Issue 55 , January 2020, Pages 101-135

https://doi.org/10.22054/jims.2019.27175.1925

Abstract
  The problem of Airline planning has totally been divided into four sub-problems.These problems include Flight Scheduling, Fleet Assignment, Aircraft Routing, Maintenance, and Crew Scheduling. In this research, firstly, we defined basic concepts and common terminology about Airline Planning then early ...  Read More

Providing a model to optimize preventive maintenance schedules for multi-component systems using GA

Arman Sajedinejad; Meysam Lotfi

Volume 17, Issue 55 , January 2020, Pages 137-160

https://doi.org/10.22054/jims.2019.15312.1543

Abstract
  In this paper, a non-periodic preventive maintenance scheduling optimization model for multi-component systems is provided based on the maximum availability of system components. In addition to providing the required level of system reliability and satisfy other system constraints (maintenance activities ...  Read More

Developing a classification Method for Imbalanced Dataset Using Multi-Objective Evolutionary Algorithms

amir daneshvar; Mahdi Homayounfar; elham akhavan

Volume 17, Issue 55 , January 2020, Pages 161-183

https://doi.org/10.22054/jims.2019.31226.2036

Abstract
  Data classification is one of the main issues in management science which took into account from different approaches. Artificial intelligence methods are among the most important classification methods, most of them consider total accuracy function in performance evaluation. Since in imbalanced data ...  Read More

Portfolio Optimization by Stochastic Dominance Method in the Tehran Stock Exchange

Moslem Peymany Foroushany; Amir Hossein Erza; maryam hamidizadeh; Mahdi Asgharzadeh

Volume 17, Issue 55 , January 2020, Pages 185-210

https://doi.org/10.22054/jims.2018.27407.1941

Abstract
  The formation of the optimum portfolio based on risk and return is one of the most important decisions of investors in financial markets, for which there are various methods. Markowitz’s Mean-Variance method was the first method introduced in this area; but because of the normality assumption for ...  Read More

A DEA-based Mathematical Model to Determine the Competitiveness Strategies, Considering the Correlation Between parameters of and size of DMUs: Case Study in Insurance Industry

hamidreza jafari; parivash torki

Volume 17, Issue 55 , January 2020, Pages 211-254

https://doi.org/10.22054/jims.2018.25569.1883

Abstract
  Since the acquisition of the market share is a correlational parameter, (the sum of the total market share of the competing organizations must be 100 percent) and the maximum in the present study, a DEA-based mathematical model was proposed to specify the competition strategies considering the correlational ...  Read More

Provides an Integrated Framework for Creating a Corporate Project Basket with an Integrated Approach for QFD and ANP under Uncertainty

Reza Abbasi

Volume 17, Issue 55 , January 2020, Pages 255-286

https://doi.org/10.22054/jims.2019.30274.2005

Abstract
  Nowadays, most of the holdings and contracting companies are based on their projects, so most of their revenues depend on the selection and proper implementation of the projects. Basically, evaluating and selecting projects to form an optimal portfolio of an organization's project is a multi-criteria ...  Read More

A Stochastic Programming Framework for Multi-period Portfolio Optimization

Ardeshir Ahmadi

Volume 17, Issue 55 , January 2020, Pages 287-315

https://doi.org/10.22054/jims.2017.22059.1769

Abstract
  This paper presents a scenario-based multistage stochastic programming model to deal with multi-period portfolio optimization problem with cardinality constraints and proportional transaction costs. The presented model aims to minimize investor's expected regret, while setting a minimum level of expected ...  Read More